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THESlS This is to certify that the dissertation entitled ABSTRACT FACTORS RELATED TO MIGRATION PLANS AMONG MALE HIGH SCHOOL STUDENTS IN A RURAL AREA OF LIBYA presented by Ramadan Senussi Bel-Hag has been accepted towards fulfillment of the requirements for Ph.D. degree in Socioloqy a 1‘,“ Major professo Date February 24, 1982 MS U is an Affirmative Action/Equal Opportunity Institution 0-12771 2‘ 41111111111111111111 1111111111 3 1 93 10461 3314 IVIESI.) RETURNING MATERIALS: Place in book drop to LIBRARIES remove this checkout from Ali-ISIIII. your record. FINES will be charged if book is returned after the date stamped below. . FACTORS RELATED TO MIGRATION PLANS AMONG MALE HIGH SCHOOL STUDENTS IN A RURAL AREA OF LIBYA By Ramadan Senussi Bel-Hag A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Sociology 1982 ABSTRACT FACTORS RELATED TO MIGRATION PLANS AMONG MALE HIGH SCHOOL STUDENTS IN A RURAL AREA OF LIBYA By Ramadan Senussi Bel-Hag Despite the widespread recognition of rural-urban migration as a problem in most developing countries, research has tended to follow the same approach of that of the developed nations, namely, the study of migration from demographic, economic and ecological points of view. Thus, most of the research has emphasized the role of "push" and "pull" factors, and demonstrated the dominance of economic and social forces as causes of migration. On the other hand, subjective factors related to migration have not been highlighted in research, and very little has been done on the atti- tudes associated with migration. This study, therefore, is an attempt to examine some of the .__“_\‘§‘_fi___~____f”fwfluéfl ‘attitudinal factors involved in the decis f... “—4— ,_.. ion making process as ’__fl‘_fl_fl___,,_wm_h,___ fie-,sflfis_h_ h.__ ____-7- related to migration intention on the part of young people from “,.,.—a—w—-'* -_fl_mh_ m“_nnh *7_ a rural area in Libya. This area has suffered high rates of out- ‘\\a____,.,r~~er' fl. migration for the last twenty years. Given the fact that the -__,_.— “fin-F’— country is going through a transition from traditional to a modernized society resulting in the need for professional, skilled and highly trained personnel, many young people have been stimulated Ramadan Senussi Bel-Hag to seek higher education and to aspire to social mobility. There- fore, the migration decision is viewed from the individual's point E“_____“_,__ —___..___ 'gj;yiew,__Four variables are examined in predicting and explaining the migration plans of rural adolescents who have not yet selected a , ( ,,-e i.) . “it (\ A f j a permanent occugation and a permanent place of residence. These \1“ Ti/ (12:51 v» ’ ‘ If: ‘-; |\_\ \‘r' variables are: (l) educational and occupational aspirations; (2) fiflpibtta, a; A . I! \ f _‘ up» (Iv-3 community satisfactions; (3) family obligations; and (4) community yfi,eremmmm .mbomwoea ooo.ooo.P ooo.~Fe ooo.oo~ ooo.oom.m ooo.emm.e peasaopm>ao a m=_c=apa ooo.oom._m ooo.ooo.~ ooo.oom.F ooo.omN.P ooo.omN.m Lovemacfi ooo.oom.FN mm_.ope.m_ oco.ooa.¢~ ooo.oom.m~ ooo.omm.m~ meta: uw_a=a ooo.ooo.o¢ ooo.m_w.mm ooo.o-.- ooo.ooo.- ooo.oom._ mewmsoz - mm~.mme.mm ooo.ooc.mp ooo.ooo.e - mmwpwpaawowcaz ooo.oom.mm emm.¢eP.NN ooo.ome.mm ooo.om~.m~ 000.com.m_ meowaau_==eaou a peoamcae» - ooo.o~ ooo.ooo.m ooo.oom.m maeoam a gu=o> ooo.ooo.~_ ooo.eom.m ooo.o~e.a ooo.ooo.e ooo.o~a.m ;s_am= ow_a=a ooo.oc_.m ooo.oem.P ooo.ooo.~ ooo.oom.~ ooo.-~.m mewaee< _a_uom a eaonas apaapwa>a So: _m2._o_.~ ooo.om~.m ooo.oo~.~ ooo.o~m._ 8238538 a compaseoecH ooo.oom Nem.oe~ ooo.oee ooo.omo ooo.ooa muw>emm _2>cu ooo.oo~.om 42m.m_e.e_ ooo.ooe.eF ooo.omw.m_ ooo.oom.o cowuauzuw ooo.ope ooo.om~ ooo.oom - smopomgue< a smeesoe ooo.ooo.e ooo.om ooo.om~ ooo.oom ooo.om~ meme» 3 aeocoum ooo.ooe._m - - - - samFoepma ooo.ooo.~m ooo.ome.o~ ooo.oom.e ooo.ooe.e ooo.oom.m seamsucH ooo.ooe.om ooo.ooo.om ooo.o~e.o. oco.oo,.PF ooo.m_m.e mesupsuwea< -m_-pemp _NmF-o~mF camp-meap momp-mmmp mom_-~om_ eoauam memcwo cmxnwg cw mcopumwcaocaa< acmsaopm>mo m mpnmh 22 The second development plan (1976-80), called the Five-Year Economic and Social Transformation Plan, was a continuation of the three-year plan with a long term scope. This plan assumed an annual increase of nearly 11 percent in the gross national product (GNP) and an increase in a per capita income of 5.6 percent annually. Priori- ties were given to agriculture, industry, electricity, education, municipalities and housing. As of 1978 the 1976-80 plan had been revised upward to L0 9.25 million from an original level of just over LD 7 billion (See Table 6). Policy in regard to the industrialization program had several goals: diversification of income sources, substitution for consumer goods imports, and processing of agricultural products. Plans for industrial development stated by the Three-Year Development Plan of 1973-75 called for an annual growth of 24.5 percent in real terms as against 11 percent for the economy as a whole and 5 percent in the petroleum sector. The number of plants completed and in production by 1979 was 58, and another 36 different projects were under con- struction. In addition, contracts and studies for 34 more projects were in progress (Ministry of Information, 1979:137). To meet the demands of these industrial projects for skilled and technical per- sonnel, some twenty-eight technical schools were in operation in the late 19705 as compared with only four such schools before 1969. Six of these schools are industrial institutes with a capacity of over 3000 per year, and two are advanced oil institutes (Ministry of Information, 1979:35). Along with industry, the revolutionary regime regarded the agri- cultural sector as of prime importance, and it was given very high 23 Table 6 1976-80 Development Plan and Expenditure for 1978 (In millions of Libyan Dinars) Original Revised Revised Allocations Allocations Allocations 1976-80 Agriculture and agrarian 412,269 498,000 109,000 reform Integral agricultural 857,760 977,660 227,600 development Dams and water resources 80,040 139,115 26,000 Nutrition and marine wealth 49,161 63,673 157,500 Industry and mineral wealth 1,149,418 1,204,980 221,500 Oil and gas exploitation 670,000 670,000 90,000 Electricity 683,195 896,825 170,000 Education 491,655 521,820 122,000 Information and culture 99,168 121,925 24,500 Manpower 56,002 62,712 13,000 Public health 197,655 273,640 62,700 Social affairs and social 13,157 33,757 62,500 1nsurance Youth and sports 52,020 62,000 16,000 Housing 794,236 1,131,040 211,000 Security services 35,000 60,000 13,500 Municipalities 565,108 755,729 170,000 Transport and communica- - 659,854 929,798 144,200 tions Marine transport 353,500 373,500 60,000 Trade and marketing 36,730 44,740 65,000 Planning and scientific 13,045 16,800 35,000 research Reserve for projects 230,027 409,586 72,000 Total (incl. others) 7,525,000 9,250,000 1,785,000 Source: Ministry of Planning, 1976. 24 priority. Two plans were adopted (1973-75, 1976-80) to carry into effect the agricultural policy, based on the following principles: (1) to safeguard natural resources and utilize available soil and water; (2) to reclaim new areas which were to be divided into pro- ductive farms; (3) to establish settlements supplied with all re- quired services, and (4) to ensure the participation of the agricul- tural sector in the progress of the national economy by means of in- creasing agricultural productivity (Ministry of Information, 1976:96). In the mid 19705 all Italian-owned farms in Libya were returned to the government, which in turn were distributed among the Libyan farmers with government credits for seeds, fertilizers and machinery. The area under irrigation has increased and according to 1976 figures had reached 300,000 hectares. A number of very large contracts were awarded for reclamation and irrigation work in various scheduled areas. All agricultural projects were meant to be fully integrated, providing for the establishment of farms, the building of rural roads, etc. and in some cases, the introduction of agricultural industries. 0f par- ticular importance as a way to keep farmers in the countryside, as well as to increase agricultural output, was an extremely ambitious ten-year agricultural land reclamation and farmer resettlement scheme initiated in 1972. The aim of this project was to reclaim one million hectares of land and provide farms for tens of thousands of rural families. Development in this sector brought modernization to the vil- lages and rural communities in the form of schools, hospitals, elec- tric lights and other twentieth century adornments. Furthermore, in an increasing number of rural localities, former farm labourers 25 received titles to farms and owned houses in which electricity water, and modern appliances made their residences almost indistin- guishable from those of prosperous urban dwellers. Education under the monarchy exhibited much more influence from religious elements than in any previous period. Even with rela- tive expansion, the educational system did not meet the country's need for trained, managerial and skilled personnel (E1 Fathaly gt_gl,, 1977: 13). The small and inadequate school system suffered from a limited curriculum, a lack of qualified teachers. The new regime, however, continued the quantitative expansion of the educational system, and has effected tremendous changes in the quality and level of education. The revolutionary regime realized the fact that it has to relate the educational system to current and ambitious needs of the development projects in different sectors of the economy. The following major changes were made. First, an emphasis was placed on vocational and technical training. In this regard, an expansion and upgrading of vocational education was given special priority in order to provide the country with the most needed skills in such fields as agricul- ture and industry. Second, stress was given to higher education in applied sciences and technology with immediate usefulness to the economy. Third, school attendance was made compulsory between the ages of six and fifteen years,or until completion of the preparatory cycle of High School. In addition, changes in the requirements and in teaching methods were also made at this level. And fourth, an expansion took place in the number and geographical distribution of schools. Assembly line school buildings were erected in rural areas 26 and desert oases to bring every citizen in contact with education (E1 Fathaly et_al,, 1977:13). As a result, the total school enroll— ment increased tremendously during this period (See Table 7). The total enrollment rose from nearly 150,000 in 1962 to 360,000 at the time of the 1969 revolution. By 1977 a total student population of about 780,000 included more than 200,000 above the primary level. The enrollment of one million, or nearly one-third of the population, was expected in the scholastic year of 1980-81. In sum, oil made capital available for social and economic de- velopment and changes in priorities during this period made for sig- nificant alterations in the Libyan social and economic structure. The tremendous investment for agricultural and industrial development resulted in a great number of new projects and enterprises. These changes created the need for mass education in order to supply skilled workers and specialists needed for these new projects. Also these changes enhanced the division of labour and provided a foundation for the rise of professional groups which inspired many young people who are ambitious for status and emphasized dignity and prestige of occu- pation more than monetary rewards. Social and economic development, therefore, stimulated the nature and pattern of employment, which in turn created the heavy and continuing flow of rural-to-urban migration, especially among the young and educated. Statistics for the mid 19705 revealed that almost one-half of the economically active population was employed in either public administration, construction or industry. Planners predicted that the proportion employed in non-agricultural sectors would continue to increase slightly through 1980 and that it would 27 .Amamp .eom_mzv new Aomm_ .ewupms mmumump use Nonpomp :mmzpmm pcwsppoccw poocum m mpnmh 28 exceed agriculture by the year 2000 (See Table 8). The new influence on employment has been making itself felt not only in urban centers but in many of the villages as well as the desert oasis towns. Table 8 Projections of industrial compositions of labour force in Libya: 1980-2000 (All Numbers in Thousands) Sector 1980 1985 1990 1995 2000 Agriculture 231 263 298 336 375 Industry 175 220 273 335 409 Services 343 400 464 536 617 Source: (Tsui gt 31,, 1979:37). It is evident from our previous discussion that tremendous 9(‘ social and economic changes have been brought about by the new stra- tegies of development adopted by the revolutionary regime. The de- mand for skilled and professional personnel accompanying these changes inspired many young people to seek higher education and consequently higher social status. These attractions were sufficient to cause those residing in the hinterland to move toward the cities seeking higher education and a better life style. This migration in our view was inspired more by social psychological factors such as higher prestige and higher status rather than by the economic factors. Consequently, the migration phenomenon in Libya can be best understood from a micro level whereas most of the research that has 29 been conducted in most developing countries was on a macro level, mainly by demographers, economists or ecologists. They were con- cerned primarily with three things, the rate, concentration, and composition of migration streams. Hence, the migration decision in Libya will be viewed from a social psychological point of view in which the framework supplied by Beegle §t_al, (1957) will be utilized. At this point, it is appropriate to state the organization of the thesis. Chapter One dealt with the social and economic back- ground of Libya and the conditions under which the process of migra- tion prevails. The theoretical framework will be discussed in Chapter TWo along with the definition of the major variables and the formulation of major hypotheses to be tested. Chapter Three deals with the research design, data collection, description of the test population and the measurement of the major variables. Method of analysis, results and tests of the major hypotheses will be presented in Chapter Four. In the last chapter, Chapter Five, summary of the results will be discussed against the theoretical framework. CHAPTER II THE RESEARCH PROBLEM INTRODUCTION The subject of migration is a very broad one indeed. A whole set of complex factors are involved in migration phenomena which cut across many disciplines, including sociology, economics,geography, demography, public health and public planning and policy. The study of this subject is often diffuse because of its multi-faceted dimen- sions, and one is often tempted to treat it broadly with little in- depth analysis. The development of migration theory has been less promising than in other areas of demographic theory. There has been a prolifera- tion of concepts vis-a-vis migration, but they have not been combined into a comprehensive framework. Researchers have tended to limit their studies to certain variables and have ignored others. We have such concepts as intervening opportunities, the income gap, expected income, and so forth but they have not been adequately refined and related to a broad theoretical framework, or discarded as inappro- priate. Hence, migration theory may be characterized as a collection of empirical generalizations and typologies. Some writers on migration, for instance, have classified the factors influencing migration as "pull factors" and "push factors" (Lee, 1966). With regard to rural-urban migration, therefore, it is 30 31 argued that general poverty conditions, relatively low levels of income, demographic pressures on the available agricultural land, and the stagnation of the agriculture economy, create "push" pres- sures on the rural population which lead to exodus to towns. Towns, on the other hand, are said to exert a "pull" by virtue of their superior social and economic conditions and higher wages which favor improvement in the life of individuals as compared with those who stay in the rural areas. Some other authors such as Mitchell (1970) have argued that a single factor motivating migration is inadequate; on the other hand, the listing of all possible motivations is equally untenable. According to Mitchell, the multiple causes should be linked in a logical framework and classified under two headings, “the nexus of centrifugal tendencies" and "the nexus of centripetal tendencies" subdivided by social, psychological and economic factors. The most important handicap in the study of migration, however, is its lack of a general theory. A great number of works have been compiled on the subject but a satisfactory integration has not yet been made (Mangalam, 1968). Theoretical statements that do exist in the contemporary litera- ture, while useful and adequate for interpreting specific seg— ments of the migration field or for making sense out of specific data in each instance, largely fail to provide a general frame- work within the vast amount of existing facts from different migration studies that can be integrated and given meaning... The ideal of comprehensive theory of migration is not only possible but must be an important concern in the future 1963:1 . The first systematic attempt to study the problem of migration was done by Ravenstein (1885). He developed the thesis that the decision 32 to move is never completely "rational" and that not all persons decide by themselves to migrate. Ravenstein concluded from his studies that the characteristics of the migration process, which he called the "laws of migration," are: (1) migration is influenced by distance to be covered; (2) it occurs in stages; (3) streams and counter streams are always present; (4) there are very important rural dif- ferences in the propensity to migrate; (5) females predominate among the short distance migrants; (6) technology affects migration; and (7) in all migrations the economic motive is the most important. Some of these broad generalizations about migration in the nine- teenth century have been confirmed by some studies while some recent studies have modified these early generalizations. Since Ravenstein's early work, most subsequent researchers have focused their studies on specific aspects of the migration process. Among them, for instance, was George K. Zipf (1946) who sought to explain migration by the "principle of least effort." Zipf aserted that the number of persons going from one city to another should be a function of the distance separating them, since the effort required to cover greater distances would presumably increase as does the dis- tance. Some other authors, however, argue that migration is not a mere function of distance and that distance is not of overpowering importance. Stouffer (1940) continued the effort to state empirical generali- zations and presumably injected a greater degree of precision by introducing the notion of proportionality in his theory of inter- vening opportunities: "The number of persons going a given distance 33 is directly proportional to the number of opportunities at that dis- tance and inversely proportional to the number of intervening oppor- tunities" (1940:845). In a paper published in 1960, Stouffer intro- duced a further variable, namely, "competing migrants." Thus, his original model became an attempt to express for a specific time in- terval, the number of migrants from city A to city B as a direct function of the number of opportunities in city B, and an inverse function of the number of opportunities intervening between city A and city B as well as the number of other migrants competing for opportunities in city 8. With regard to distance and migration streams, Rose (1970) exam- ined the socio-economic status of migrants in relation to how far they migrate. He found that on the average, upper class migrants move greater distances than lower class migrants. 3His hypothesis was based on the notion of opportunities, that is, those with high ‘Nraspirations seek better opportunity and must move greater distances while those with fewer skills and aspirations look for less desirable opportunities and move shorter distances. More recently, Lee (1966) has built upon the earlier work of Ravenstein and others by developing a more comprehensive set of gen- eralizations which include the fbllowing: "the volume of migration within a given territory varies with the degree of diversity of areas included in that territory" and "the volume of migration varies with the diversity of people." He proposed that "no matter how short or how long, how easy or how difficult, every act of migra- tion involves an origin, a destination and an intervening obstacle" 34 (1966:48). Lee summarized the factors involved in the process of migration as being (1) factors associated with the area of origin; (2) factors associated with the area of destination; (3) intervening obstacles and (4) personal factors (1970). Bogue further elaborated on the attributes of places in relation to in and out migrations. He stated that "selectivity of out migrants from any community tends to vary directly with the strength of attractive 'pulls' from other communities and inversely with the explosive 'pushes' from the commu- nity of origin" (1961:12). Another attempt in the direction of building a general theory of migration made by those studying the migration process is to establish a universal migrant prototype. The term "selectivity" used by these scholars refers to the characteristics of a group of individuals who tend to be more migratory than others. These charac- teristics are identified as migration differentials in the literature and include age, sex, level of education, occupation and socio- economic status, among others. White and Woods (1980) proposed two generalizations with regard to these attributes: first, that migrants are not randomly selected from the population at the place of origin, and second, that migrants at a certain destination do not form a random cross-section addition to the population. Furthermore, Bogue (1961) suggested that when testing hypotheses related to migra- tion selectivity, consideration should be given to population and environmental conditions both at the place of origin and place of destination. 35 The proposition that migration is selective or that differential in migration exists is well documented in the literature, although some of the characteristics that differentiate migrants from non- migrants ck) not withstand the test of generalizability. At present, at least four approaches to the study of migration differentials are found in the literature. They include: (1) (2) (3) (4) The ecological approach focuses on the movement and dis- tribution of persons in space by characteristics of place rather than by characteristics of persons. The demographic approach focuses on characteristics or groups of characteristics of persons rather than places. The sociological approach attempts to connect observed significant characteristics of migrants with particular social systems and their functions. Migration behavior is related to patterns of formal and informal organiza- tional participation, to value systems of culture and its subcultures. The social psychological approach recognizes migration as an individual decision-making process and focuses on attitudes and motivation of migrants. Migration behavior may be linked to personality adjustment or personality types. Work in the area of migration has thus remained at the level of empirical generalizations. Such generalizations are worthwhile, in that they provide evidence for the relevance of particular concepts and specify relations among them. As long as they remain unconnected 36 to form a body of theory, however, they are of limited value since the specific conditions under which they operate are unknown and they can- not be used for prediction or deductive explanation (Byrne, 1972:2-3). Migration, as we have seen, has been studied mainly by demo- graphers whose analyses have typically been on the macro structural level since they were primarily concerned with migration streams and migration differentials. Demographers, however, did not analyze their data at either the individual or the social psychological level, nor more specifically from the attitudinal point of view. Therefore, we find a wealth of material dealing with demographic and ecological explanations of migration but virtually none on atti- tudes associated with migration. The Scope of the Study In most developing countries there has been a large, contin- uous movement from rural areas to urban centers in recent decades. In describing modern population migration, it has been observed that Western world migration represents an equilibrium type of movement, whereas in the Third World, especially West Africa, migration repre- sents a disequilibrium type of movement. It is the rapid improvement in the areas of health, education, employment, social welfare and other amenities of the new modernization occurring in the major cities and towns of the Third World that has motivated rural people to migrate. Few of these services have yet reached the village level (Kempinski, 1961). The general patterns of rural-urban migration in the developing countries are far from being uniform. In Africa, studies indicate 37 that migration streams historically have developed from a tribal- based to a traditional, state-based type (Harvey, 1969). Mobogunje (1972) described migration in Africa as being primarily regional, where individuals or groups of people cross ethnic or national boun- daries. For the most part, rural-urban migration in Africa resembles a labour-force type of movement (Prothero, 1976). In Asia, although rural to urban migration is pronounced, var- ious patterns were manifested in some countries of this continent. In Malaysia, for instance, rural people are attracted to new settle- ments (Witraileke, 1965). In Indonesia people were transported from crowded Java to frontier lands (Withington, 1963). Due to social and economic developments that are taking place in these and other countries, settlement schemes are becoming increasingly commonplace. In Latin America, the Andean uplands are the frequent locus of internal migration toward the lowlands east of the Andes (Butland, 1966; Dozier, 1969). It has been estimated that about 60 percent of Latin American population is living in cities (Brunn and Thomas, 1970). The patterns of step-wise and of direct movements toward the cities is well documented in the literature (Thomas and Mulvihill, 1980; Thomas and Catau, 1974). Two types of movements are recognized in the Arab countries, namely, nomad migration and rural to urban migration. Due to various settlement projects and voluntary settling, the former type has been drastically reduced (Awad, 1962; Shamekh, 1975). The direction of the rural migration, on the other hand, was mainly toward major cities and the oil fields. The discovery of oil and improvements in health, l‘”. W? to US C0 38 education, transportation and economic opportunities accompanying the oil exploration, has accelerated the process of rural migration. Nevertheless, rural to urban migration exists also in countries that have more agricultural potential, such as Egypt, Sudan, Iraq, Libya and Syria (Clark and Fisher, 1972). Research in migration in most developing countries, however, has followed the same foci as that of the developed nations, namely, the explanation of migration from demographic, economic and ecologi- cal points of view. Literature on Africa and Latin America, for in- stance, reveals the importance and recognition of this problem by policy makers and planners. But most research conducted in this part of the world concentrated on only three dimensions of the prob- lem, namely: (1) the rate and causes of migration; (2) the concentra- tion in certain centers, and (3) the composition of migrants (charac- teristics of migrants). The rate of migration might be too high for both economic and social reasons. Numerous authors (e.g. Eicher gt_ g13, 1970), Byerlee (1974), and Todaro (1971) have noted various price distortions such as high urban wage rates and low agricultural prices which act to increase rural-urban income differentials and hence in- crease migration. Some other researchers have attributed rural-urban migration to population pressure in the rural areas (McGee, 1971). The problem created by high rates of migration are compounded by the concentration of migrants in one or two large cities. As Hance (1970) notes, most African countries have one "primate" city-- usually the capital--which is also the fastest growing city in the country. 39 The composition of rural-urban migrants is a further dimension of the rural-urban migration problem, as the literature reveals. Rural-urban migrants, on the average, come younger and better edu- cated than the rural population from which they originate (Elizaga, 1966; Browning and Feindt, 1969; Bock and Iutaka, 1967). In Ibadan, Nigeria, Callaway (1969) reported that about 70 percent of all migrants were 15-25 years old. In Kenya, the majority of migrants were 20-25 (Rempel, 1970). Generally, studies in Africa reveal that most migrants are young adult males or school leavers (Byerlee, 1974; Callaway, 1969). The picture of rural to urban migration in the Arab countries is not well documented and there is a scarcity of literature due to the lack of reliable statistical data. The few studies conducted in some countries of the Arab world, however, reveal that the process of rural migration is similar to that of Latin America with few exceptions. Needless to say, these studies also concentrate on the three dimensions mentioned earlier. Most migrants are attracted by economic opportunities in the urban centers and oil fields. Philips (1959) observed that the deterioration of rural conditions act as the push and the nature and expansion of urban centers as the pull. In Libya (See Chapter One), Hartley (1972) described the massive rural migration between 1954 and 1964 as due to the decline in the agricultural sector and the expansion of the construction in- dustry in the urban centers as the main causes. These findings, how- ever, reveal that seeking work or better jobs and wages in urban cen- ters and the declining of the agricultural sector are the major reasons 40 for rural migration. Other researchers have indicated that population pressure in rural areas is another explanation for rural-urban migra- tion. This is true in Lebanon where the population increase in the rural areas exceeded the availability of land and farm employment (Tannous, 1942; Khuri, 1967). In Morocco, the most fundamental cause of rural migration is the poverty and population pressure in the regions from which most of the migrants are drawn (Blake, 1972). With respect to the selectivity of migration, studies in Iraq, Lebanon, and Egypt have shown that younger persons, mostly males, are the most frequent migrants (Baali, 1966; Khuri, 1967; Abu-Lughod, 1961). Despite the widespread recognition of rural-urban migration as a problem in most developing countries, research in this area has emphasized the role of "push" and "pull" factors, and demonstrated the dominant position of economic, and social objectives as causes of migration. 0n the other hand, subjective factors related to migra- tion have not been recognized, and very little if anything has been done on the attitudes associated with migration. It is evident that migration cannot be fully understood solely from the demographic viewpoint. As Schulze (l960:4) pointed out: "Man is bound by culturally prescribed limits and subject to attitudes and goals furnished by his social environment which are not evident from the study of demographic data alone. To reach an understanding of migration we must delve deeper than the level of population sta- tistics. We must explore the impetus to migrate from the attitudinal frame of reference also." According to Bogue, migration is a response of human organisms 41 to economic, social (psychological) and demographic forces in the (social) environment (1969:753). Human beings are motivated to act to fulfill certain needs or to escape discomfort or pain. It is a subjective evaluation of the individual about his social environment that leads him either to migrate or not to migrate rather than the objective factors of that environment. As long as his wants and his aspirations are met, an individual will have the tendency to stay in the same community. Migration, therefore, for Bogue is: "...either a response to some impelling need that the person believes he cannot satisfy in his present residence or a flight from a situation that for some reason has become un- desirable, unpleasant or intolerable" (1969:753). The lack of social-psychological "explanations" of migration has been one of the chief factors in the development of research by Eicher (1959), Beegle (1957), Goldsmith (1961) and Beegle and Gold- smith (1962). These authors have dealt with the migration of young people from rural areas. In doing so, they have used the suggested frame of reference of the NC-18 report, which consists of a theoreti- cal framework for the field studies done in the North Central States and Kentucky, and also the instruments to be used in the field. This report viewed the phenomenon of migration as: "an on-going process of decision-making in which satisfactions with the life in the community of residence are weighed against the social costs of leaving the community of residence. This evaluation process occurs in relation to the level of aspirations, rooted in the value orientation, range of knowledge, and experi- ence of groups and individuals." Thus, the report stated that three major variables are related to the plans of migration among young people, namely: (1) community satisfac- tions; (2) aspirations; and (3) social costs. 42 ‘¥' A major purpose of this study, therefore, is an attempt to extend the use of the conceptual and operational model used in these studies and its modification by Hannan (1967), and to test it in a very different cultural setting. This study, hence, is not a tradi- tional demographic analysis. Instead it incorporates the sociologi- cal aspects of an individual's background with psychological reasons for migrating. Critical questions addressed in this study are: (1) Are the young people satisfied with their community? Why or why not? (2) Have they thought of moving? (3) What are their occupational and educational aspirations? (4) What are their attitudes toward their community? (5) What are their family obligations? (6) How do they view the process of migration? This study thus is an attempt to examine some of the attitudi- nal factors involved in the decision-making process as related to migration of young people from areas of constant migration. The importance of the study is twofold: (1) By testing the frame of reference used in a completely different culture will give some insights into its validity and hence will contribute to its theoretical and methodological substance. (2) The findings from this proposed study would be highly useful in public policy decisions in Libya, as it has been in the U.S. It would provide evidence in answering such questions as: should youth be permitted to freely leave the more remote rural parts of the country--which is under rapid development--to reside in the burgeoning 43 cities? Should the government devise policies to control the outward flow of young people? Will the labor market opportunities match the educational and occupational aspira- tions and plans of young people? Assuming that many young people wish to leave for the city, is the current school curriculum providing the best possible preparation for the urban environment? What changes should be made in the school curriculum given the aspirations and plans of young people? Theoretical Framework and Relevant Literature While Sorokin and Zimmerman (1932) must be credited with being e__N___fl_,...—————~—-~—-—~_e~__..fl—~w’~*** among the first to suggest that the subjective evaluations of indivi- h______fi ____‘___> ‘__##fiffifl,e l duals can affect th ' ecisions to migrate, Kiser (1932) was among V the first scholars to carry_9ut_a_stugy_§pecifical1y designed to de- ‘termine the extent to which sub t such decisions. Thomas (1938) attempted to summarize the migration literature up to that time. She made several important contributions in conceptualiz- ing the place that motivational orientations have in an explanation . LfliJiELJHIKE§§L4HLJfiqu3fijQfl;_ While her major empirical work was con- cerned with the imbalance hypothesis, she explicitly stated, however, that to understand the initial motivations that lead individuals to migrate, one must consider the motives which attract individuals to new areas, and sources of dissatisfactions which drive them away from old communities. The writings of Lively and Taeuber (1939), Webb and Brown (1938) and Jamiesen (1942) are indicative of the growing awareness among 44 scholars studying migration that comprehensive knowledge about the motivational orientations is a prerequisite to an adequate under- TE) standing of the total migration process. The most useful theoretical approach to the study of the moti- 4 N _vatiggs,Qf_migrgflt§,_hgweveri_was that provided by Lively and Taeuber (1939) and Williams (1961). Like other authors they recog- ./"‘\— A nized the fact that while socio-economic conditions are important factors affecting migration, they cannot alone account for migration. These "conditions" are experienced differently and the responses vary depending on the cultural context. On the basis of empirical evidence, Lively and Taeuber stated that it is simply not true "that when problems are sufficiently acute in any area people will move to some place where living conditions are considered more nearly ade- quate” (1939:79). They noted: "there are few rural areas so poor that there are not some people at some time who are willing to live there" (Lively and Taeuber, 1939:79). In order to understand why X not all persons who are exposed to similar objective conditions - -——-~_____fi.e w_e___.,...~;_—~——w*- a migrate, they contend_that.it_iscneggssary to consider subjective ff ‘x‘M .v—‘H ’— W factors. They stated: .5 The controlling element in the decision whether or not to (i\ move is not the objective reality pg§_se, but the indivi- dual' 5 subjective evaluation of the var1ous alternatives /// which he is considering (Ibid: 80). Because residents of well provided communities may use a wider series of more advantaged reference groups in evaluating alternatives, such communities often lose their populations as rapidly or more rapidly than poorer areas. In the latter case, there is a much narrower universe of comparison and as a consequence, residents may feel 45 relatively less deprived. Some of the poorest areas are also those in which there is a tradition of stable residence, of family soli- darity, of unwillingness to move, and of extremely low regard for the usual canons of material success (Lively & Taeuber, 1939). Migration planning, therefore, was viewed as prompted by economic motives, but as taking place within a socially and culturally de- fined frame of reference. Other non-economic motives might be im- portant but occupied a residual position in their discussion (Williams, 1961:301-302). Such approaches to the motives of migrants, however, were very sketchily developed, and it was not until the 19505 that more useful models were proposed. At that time a number of authors proposed motivational models for migration planning, including those of Eisenstadt (1954) and Beegle §t_gl, (1957). The latter appears to be the most relevant and fruitful for the present study. Eisenstadt proposed that plans to leave the community of resi- dence are dependent on the individual's feelings of "frustration, of inability to attain some level of aspiration in his original society where he is unable to gratify all his expectations" (1954:1). But this motive is not necessarily "a feeling of insecurity and in- adequacy in every sphere of social life. The immigrant, as has often been pointed out, may remain attached to his original society and culture in various ways" (Eisenstadt, l954:2). ’___”,,,__ _“He. Eisenstadt presented four types of aspirations which may lead to an act of migration. They are the following: (1) A potential migrant may feel that his original society does not provide him with enough facilities for and 46 possibilities of survival within it. ’"“N\ (2) Migration may be promoted by the feeling that certain goals, mainly instrumental in nature, cannot be attained within the institutional structure of his society of origin. (3) The migrant may feel that within the old society he can- not fully gratify his aspirations for solidarity. (4) The migrant may feel that his society of origin does not afford him the chance of attaining a worthwhile and sin- cere pattern of life, or of following out a progressive social theory (Eisenstadt, 1954:6). Using essentially the same approach as that of Eisenstadt, Beegle proposed a specific system of variables to predict migration planning (1957:2-3). The migration phenomenon hence, "is viewed as an ongoing process of decision making in which satisfactions with the life in the community of residence are weighed against the social cost of leaving the community of residence. The evaluation process occurs in relation to the level of aspirations, rooted in the value orientation, range of knowledge, and experience of groups and indi- viduals" (Report of Procedures Committee NC-18; 1957z2). Satisfactions result from group and structural ties. Cohesive- ness with the community which the individuals perceive and/or feel arises from the patterned relations of those ties (ROPC NC-18; 1957:2-3). The satisfactions may be viewed as the net which binds to the area individuals who like living there, who are secure, and integrated. Their meaningful relationships with the community are 47 too important to sever. Conversely, dissatisfaction with the commu- nity indicates disagreeable or fragmentary group ties. If satisfac- tion were the only factor, we could assume that high community satis- faction means preference not to migrate and low community satisfaction, preference to migrate. However, satisfactions are only one facet of the ongoing decision- making process. Aspirations too affect personal satisfaction. Aspira- tion viewed as desired states or conditions includes desires for material objects, further education, jobs or places to live. If the aspirations can be fulfilled within the community they reinforce the satisfactions with the community (ROPC NC-lB; 1957:2-3), and help confirm a decision not to migrate. If aspirations are not obtainable within the community, these wishes may change or influence the satis- factions or offset them, for if the pull of aspiration is stronger or more urgent than community satisfaction, migration may result. The third component of the decision-making process presented by this framework is an appraisal of the social costs. When individuals decide to migrate, the affiliations at the community of origin are at least partially severed and must be replaced at the community of des- tination. Therefore, migration is viewed as a socially costly pro- cess. If an individual perceives moving away as an act disturbing group ties which he cherishes, then the social cost of moving will be appraised as high. If, on the other hand, he perceives that moving will release him from groups he dislikes, or if he has few important group ties, then the perceived social cost of moving may be low. One who views social costs as high will have less inclination to leave than 48 one who views social costs as low. The third factor can tip the balance when the other two factors cancel each other out. Provided with this frame of reference, a subsequent series of field studies were carried out using these variables to explain and predict the migration plans of rural adolescents, Schulze (1960); Cowhig §t_gl, (1960); Goldsmith (1961); Goldsmith and Beegle (1962); Schulze gt_al, (1963), as well as the plans of rural adults to remain in the community of origin, Eicher (1960).* From a structural perspective, Hannan critically reviewed these studies and pointed out that "the studies simply related variations in certain attitudinal type variables to variations in plans to migrate, or to remain in the community of origin. It is apparent that most of these independent variables are equally demanding of explanation" (1967:6-7). He contended that "unless (the) variables used are solidly grounded in structure, they cannot provide a satis- factory sociological explanation of migration planning. Thus, the variations in attitudes to the home community are not an adequate explanation of migration motives, until it is shown how these atti- tudes are related to different social structural positions of respon- dents"(Hannan, 1967:6-7). The present study, therefore, utilizes the Michigan studies by Beegle and others with the viewpoint of Hannan as the take off point in developing specific hypotheses which would conform to the Libyan situa- tion. In so doing, the focus of the study--1ike most of the Michigan *These studies discontinued the use of the variable social costs as such or incorporated it into other variables. 49 studies--is on the rural migration of adolescents toward the urban centers, assuming that migration planning can be explained best in terms of a minimum number of attitudinal variables, and that these variables should be examined from a structural point of view, that is, whether these variables vary in predictive importance in any systematic way among adolescents from different positions in the community's social structure (Hannan, 1967). ,L An overriding assumption in this study is that the migration .. \ M iplanning_orflmigration intent and the decision to migrate are volun- __—--‘ tary in nature.‘ Hence, the decision is made by the individual and 'ThE-is not migrating with the family in accordance with decisions made by parents. It is also assumed that parents and many other family members are remaining on in the home comunity. It is expected, however, that family expectations, as perceived by the individual himself, are important factors in the migration decision. Further- more, the potential migrants have extensive "knowledge" of conditions in his own community and other communities. It is assumed th t the decision to migrate results from an evaluation by the potential _. ___--.-.-_.— —- -—-——--_.-_._..—-—.—-_..-—-- _,_.—-—"""‘ M... migrant on the basis of beliefs about the ability of his own and “H ##_‘___r._—-—-—— ‘other communities;torsatisfy his asp1f§£19£§;_:lh3:efore, the m1gra- ‘ —v—-—-——_-e_...- "IE—v- tion decision can be best understood when viewed from a social _-___—. _..—-——‘- .____— psycho4ogieal-point"of'View, and hence the most useful approach .—---—"'— 'tBTEHE‘pFEBTEmflis that supplied by Beegle et a1. (1957). .._. -—-—____~fi_‘ As the study concerns an area which has suffered high rates of out-migration for the last twenty years, and given the social, economic changes and political mobilization of the people in Libya which resulted in the need for professional, skilled and 50 highly trained personnel,which in turn inspired many young people to seek higher education and consequently to aspire to social mobility, the migration decision, therefore, can be best under- stood when viewed from the individual's point of view. Four independent variables will be examined in predicting and explaining the migration plans of rural adolescents who have not yet selected a permanent occupation and a permanent place of resi- A dence. These variables are: (1) educational and occupational aspira- ; i‘“ tions; (2) community satisfactions; (3) family obligations; and (4) ?3 community evaluation. Do these factors vary in predictive importance in any syste- matic way among adolescents from different positions in the community? We assume that these variables are structured by the social position of the individual in the community. Therefore, the influence of three variables on the independent variables and thereafter on the migration plans will be examined, namely: (a) cultural orientation of the individual's family; (b) social status level of the indivi- dual's family; and (c) the birth order of the individual in the family. Before discussing the definition of the major independent vari- ables and their relationship to migration, it is useful at this point to summarize the present evidence on migration among rural youth. High school seniors must either make or be prepared to implement plans which will be of lasting consequences to themselves and to the society of which they are a part. This is particularly true of the plans they make concerning the occupations in which they will engage and the amount and type of additional formal education they will seek. 51 First, it would appear that migration of young people from their rural communities after they finish high schools tends to be the predominant pattern (Blau and Duncan, 1967; Schulze gt_al,, l963; Hannan, 1967; Bohlen and Nakeley, 1950; Pihlblad and Georgy, l954; Taves and Coller, 1964). Most of those who leave their home commu- \___________~_*¥ #___fi_______ nity apparently migrate to urban areas_(Andrews and Sardo, 1965; éiéi’éfiafhahagh:i1957; Leuthold, Farmer and Badenhop, 1967; Schwarz- weller, 1963; Taves and Coller, l964). Ambitious rural youth eager: y.) to obtain further education and occupation of higher prestige and E : ,—+€j aware of the limitations of the local community should anticipate \\ the necessity to migrate in pursuit of these goals (Drabick, 1965:30).~/// Drabick (lBZQ), in a study of the relationship between migration “flaw-d.— intention and educational and occupational expectation, stated that his data showed a greater proportion of students who intended to migrate expected to engage in further education and in occupations of higher prestige than those students who did not foresee migration. Drabick further elaborated that: The student who evidences an expectation of advanced educa- evement may be considered more ambitious, more Igggirgns:ofrsocial mobility, th§n_hisMLpeerj_who does not le-W as high. *Associated'fit'fiflthat \qu ambitionfimight~beca"percejveg necessity to_migrating from g- . his.home_communiix,(1970:57: TTT" ‘ ’ (<77\(\y 2:" -Ivn~his_1924_stud1,_nnahij—alse—fotmd—that~plan§_iq_fliflfate ”0'" the area 9f_gresent residence among rural high school seniors were _\a§sociated witbcexpectation of college entry (1974:]7). 7- _ Goldsmith and Beegle (l962); Hannan (1967); Yoesting and Bohlen (1970); Taves and Coller (1964) found that a direct relationship existed between educational and occupational aspirations and plans 52 to migrate. In a series of studies in Indiana (Olson, 1960; Geschwind and Ruttan, 1961; Cohen and Schuh, 1963) showed that .. L/ high educational aspiration level among rural youth was found to /' be strongly related to migration. In a study of rural youth in Louisiana, it was found that 7 out of every 10 plan to continue their education and, therefore, plan to migrate (Hernandez, 1969). “ Community satisfaction as a topic of sociological research can be traced to Davis' (1945) research on attitudes toward community. Following Davis' work, Goldsmith (1961), Goldsmith and Beegle (1963), Schulze gt_gl, (1963) attempted to relate community satisfaction and the desire to migrate. In this manner, community satisfaction is often advanced as a possible restraint to both actual migration and an individual's willingness to move. It was used as a social- psychological variable that indicates the individual's perception of capability of his own community to fulfill his ambitions. Low satisfaction may increase individual's willingness to move, whereas high satisfaction may increase subjective investment in the community and may, therefore, discourage migration (Swanson gt_al,, 1979). Goldsmith and Beegle (1963), Schulze gt_al, (1963) using com- munity satisfaction as a broad concept, including a variety of sub- concepts such as satisfaction with physical community, satisfaction with the social environment of the community, ethnocentrism and other related factors, found that an inverse relationship existed between community satisfaction and desire to migrate among high school seniors. The positive or negative assessment that the indi- vidual had toward his perceived alternative communities as a place 53 to live helped determine whether or not migration took place. Other studies that treated conmunity satisfaction and measured it as a form of community attachment predicting whether or not the individual would move found an inverse relationship, Jessor (1967); Kasarda and Janowitz (1974) and Rojeck gt_§l, (1975). Fernandez and Dillman (1979) in their study tried to associate the actual mobility rather than the individual expectation of moving and community attach- ment and found a moderate association in which community attachment influences mobility. In another instance, Spear (1974), Bach and Smith (1977) used elaborate personal decision-making models to deter- mine if community satisfaction acts as an intervening factor between community attributes and both the intention to migrate and actual migration. In their longitudinal study of Durham, North Carolina, Bach and Smith (1977) observe that while high satisfaction does not appear to influence migration, low satisfaction does. Using community satisfaction as a "specifying variable" indi- cating conditions of the relationship between the frustration of aspiration and migration plans, Hannan, in his study of Irish adoles- cents, found that those who felt estranged from the local community planned to migrate irrespective of their belief about their ability to satisfy their aspirations locally. 0n the other hand, those who felt that they were highly attached to their local community, the beliefs about the local fulfillment of aspiration played a stronger role in migration plans (1967:130-131). Even where people perceive that their aspirations cannot be achieved locally, however, other community and family factors may 54 rule out migration. While many studies have overemphasized the in- fluence of community satisfaction and individual aspirations, family obligations which necessitate staying and working in the home com- 9 munity, with some exception, have not been given sufficient atten- tion. Goldsmith (1961), Goldsmith and Beegle (1963) found that obligations at home have significant importance in determining migration plans. Such obligations to the family took precedence \ 4 over any personal aspirations. Hannan (1967) also found a strong 3 relationship between family obligations and plans to migrate. He found that one-third (34%-45%) of those with very slight or no obli- gations plan to migrate while only (20%-25%) of those with medium to high obligations plan to migrate. Crawford stated that family obligations are believed to outweigh possible gains which the poten- tial migrant may perceive as accruing from a move (1966:294). Attitude toward the community's social provisions is also a variable that has received little attention in determining plans for migration among young people in the United States. On the other hand, it is overemphasized in studies carried out in Ireland, as Hannan states (1967:37). Dissatisfaction with such community provisions as educational and shopping facilities, roads, recreation and entertainment facilities was found to be related to migration plans among rural adolescents in Ireland (Hannan, 1967:125). The extent to which educational and occupational aspirations are structured by the social context in which the individual lives is widely documented in the literature. Much of the research on the mechanisms determining the educational goals and occupational 55 plans of high school students has concentrated upon social factors influencing achievement motivation. Attention is increasingly focused on the effects of social environments and contexts (Schwarz- weller, 1973). A number of studies show a positive correlation be- tween the youth's levels of educational and occupational aspirations on one hand and various measures of the social status of the indi- vidual's family on the other (Willson, 1959, Michael, 1961; Sewell, 1964, Sewell and Armer, 1966). Other studies which showed the effect of the social and economic status are those of Sewell (1957); Rosen (1956), Empy (1965); Schwarzweller (1960, 1973); Youmans, 1959); and Burchinal (1962). These scholars have consistently shown that the 1 ‘y jhigher the social economic status of student's family the better 7?. and economic status of the adolescent's family was found to be posi- K the base he has from which to build a satisfactory career. The prestige level of father's occupation as a measure of social g tively associated with the educational and occupational aspirations E and further with migration plans of high school seniors (Drabick, ' 1965, 1970, 1974; Hannan, 1967; Olson, 1960; Geschwind and Ruttan, 1961; Cohen and Schuh, 1963). Cultural background of the individual's family is another fac- tor which is believed to affect educational and occupational aspira- tions and migration of high school seniors. Hannan (1967) found a strong relationship between cultural orientation on one hand and occupational and educational aspirations on the other. 56 The Major Independent Variables and Their Relationship to Migration Three variables are proposed by Beegle gt_al, as factors re- lated to migration plans. One of the major factors in migration plan— ning is community satisfactions, defined as "feelings of cohesiveness and security rooted in identification with groups and structures" (1957:2). When satisfaction is high, it increases residential sta- bility. The second variable is social costs which refers to the root- lessness that attends migration and which results from the severance of group ties and some patterned relationships. The third variable, aspirations, refers to the future, largely instrumental goals which are desired. In the decision-making process, satisfactions with life in the community of residence are weighed against the social costs of moving elsewhere. This evaluation takes place in relation to the level of aspiration sought. If aspirations are such that they may be ful- filled locally, they would be expected to weaken satisfactions and reduce social costs attending migration (Beegle, 1959). In this and other studies, community satisfactions was maintained as one of the major independent variables, but it came to assume a mean- ing different from the original usage. Here, however, community satis- faction will be broader than Beegle's definition, and will include feel- ings of liking or disliking of the home conmunity. Such feelings are hypothesized to spring from attachments to or rejection of one's particu- laristic relationships, gr_the style of structure of relationships in the local community. That is, an evaluation of the satisfactoriness of one's family and other primary and secondary group relationships, as well 57 as the structural forms that these relationships take. High satis- faction would arise from having a highly positive evaluation of these relationships and structures, while low satisfaction would result from a history of unsatisfactory personal relationships, or a low evaluation of the structural forms that these relationships take. The latter would result from differences in values between respon- dents and most community members. However, using this definition of community satisfaction, the suggestion provided by Hannan (1967) also will be taken into consideration. He critically reviewed the definition and pointed out the fact that the conceptualization of the variable as a summary evaluative attitude toward the community has been too remote from a structural orientation. Hannan suggested if community satisfaction maintains its definition which is provided above and as evaluation of local community structures in terms of traditional vs. modern, it becomes more explicit and more sociologi- cally relevant (1967:20). This distinction, however, leads to treatment of community satis- faction as two variables, one which views it as a composite measure of the attachment to local particularistic relations; the other is what we will call satisfactions with community social provisions, such as educational facilities, roads, shopping facilities etc. Aspiration level in Goldsmith's study was operationally ex- pressed as two variables. The first, specification level, referred to the extent to which respondents feel that their occupational and "way of life" aspirations could be satisfied in their home communi- ties (1961:ll). The second, obligations, referred to the extent to which respondents felt that their post-high school education plans 58 could be achieved in the local community. If they had no further edu- cational plans, it referred to the extent to which they felt that their home community would be "a good place" in which their occupa- tional aspirations could be fulfilled. Alternatively, it referred to the extent to which they considered the home community to be "a good place" to find someone "they would like to marry" (Goldsmith, 1961:114-117). Pursuing further education and reaching desired occupation, as used in Goldsmith and other studies, are considered here to be impor- tant variables. These aspirations are socially defined, socially structured, and socially sanctioned by group members for adolescents who occupy different positions in the social structure. The great majority of studies on the motivations of adolescent rural migrants show instrumental aspirations to be more predictive of migration plans than any other variable. Other studies in this area demonstrate the overriding importance of economic, educational and social mobility aspirations in migration planning. Educational aspirations generally refers to plans to pursue further education beyond high school in particular and attending college on the part of high school seniors is believed to be very important under Libyan conditions. Given the social and economic changes that Libya is going through, discussed earlier in Chapter I, it is expected that instru- mental aspirations such as educational and occupational aspira- tions, will be more predictive of migration plans than such non- instrumental variables such as community satisfaction and satisfac- tions with the community social provisions. 59 Up to this point, certain instrumental aspirations which have been referred to as "desired future conditions or situations" are proposed to be the major variables affecting decision to migrate. If respondents think that such aspirations cannot adequately be satisfied locally, they will tend to migrate elsewhere to satisfy their aspirations. Conversely, if their aspirations are attainable within the community, they will tend to stay. But certain non- instrumental variables, notably community satisfaction, which is taken to measure both the degree of attachment to local particular- istic relations as well as an evaluation of the satisfactoriness of local community social provisions, will determine the migration de- cision. Community satisfaction, hence, will be used as a specifying variable indicating conditions under which the respondent's aspira- tions and migration plans are related. When respondents are dissatis- fied with their community, they will plan to migrate irrespective of their ability to satisfy their aspirations locally. On the other hand, when they are highly attached to their community, the ability of the local area to fulfill aspirations plays a crucial role in migration. In other words, for those who are highly attached to their home community relations, such attachments do not necessarily lead to plans to stay, if aspirations cannot be fulfilled locally. In regard to the evaluation of the local community's structures and their role in the decision of migration, it is proposed that where aspirations can be satisfied, dissatisfaction with such community struc- tures as educational and shopping facilities, roads, recreation and 6O entertainment facilities, for example, may be sufficient to bring about migration to places where these facilities are better provided. But it is expected here that the instrumental factors should account for most of the variations. It is expected that if the effects of occu- pational and educational aspirations are controlled, the evaluation of or attitude toward the community's social provisions will have very low correlation with migration plans. While individual's aspirations might necessitate migration if these aspirations cannot be fulfilled locally, individual and family factors may rule out migration. Family obligations as a non- instrumental variable are also expected to outweigh any personal gains which the adolescent may perceive accruing from a move. It is expected that in the case of those adolescents who have high obligations toward their families, such aspirations would be less predictive of migration plans than primary role obligations to the bfamily that necessitate staying at home. Such obligations would ~§fhnclude binding expectations on family members to stay and help out in household matters. It is likely to be highly important in Libya where rural family structure in particular is more patriarchal and the father has much greater control over family members. For adoles- cents who have high family obligations, it is expected that the re- lationship between such individual aspirations and migration will fnot hold true. It is hypothesized, however, that family obligations \,1will take precedence over personal aspirations in determining migration. 61 As indicated above, it is expected that educational and occu- pational aspirations are closely related to plans to migrate. It is expected that the higher the level of occupational and educational aspirations, the greater the proportion of respondents who believe their occupational and educational aspirations cannot be fulfilled locally and plan to migrate. However, the level of these aspirations is expected to be influenced by three intervening variables. The first is the social status of the respondent's family in which aspi- ration level is expected to be closely related to the family's social status; the second is the cultural orientation of the respondent's family. The variation in the cultural orientation of the individual's family, whether of traditional, non-materialistic orientation or of a modern, urbanized orientation, is expected to account for the vari- ation of the aspiration levels among adolescents. However, since education is free in Libya for all citizens, the expected influence of these two variables was not taken from a stratification point of view; rather, the idea of how the respondent's family values educa- tion and views the occupational structure will in turn influence the individual's level of aspirations. The third intervening variable which is expected to influence the level of aspirations is the indi- vidual's birth order. It is expected that an inverse relationship will be found to exist between the level of educational and occupa— tional aspirations and the birth order of the respondent. Those who are the oldest are expected to be more likely to discontinue their education after high school and help to support their families. 62 Definition of Major Variables and Hypotheses to be Tested 1. Educational and Occupational Aspirations These aspirations refer to the quality and quantity of educa- tion aspired to and the ranking or level of occupation desired. The educational aspirations are ascertained on the basis of the subject's response to a question as to the type and amount of further education desired (beyond high school graduation) which will be classified and ordered into a four category scale ranging from high to low educational aspirations. The occupational aspirations will be determined in a similar fashion. The responses to the following two questions will be used: (1) ideal occupational choice (aspired); and (2) realistic occupa- tional choice (expected). These responses are then ordered on a scale developed to measure relative prestige status in the area under inves- tigation. The scale ranges from (1) the highest status to which the respondents aspired; and (2) the lowest status group to which the respondents aspired. 2. Community Satisfactions Community satisfaction refers to the extent to which the respon- dent's concrete situation is perceived by him as satisfactory or un- satisfactory. In other words, it refers to the level of attachment of the individual to his home community as measured by his evaluation-- negative or positive--of his primary relationships (Goldsmith and Beegle, 1962; Hannan, 1967). This will be measured by using a substantial modification of 63 the Schulze §t_al, (1963); Hannan (1967); and the Vernon Davis scale (1945) items. These changes are necessitated by the differences in the cultural environment. 3. Community Social Provisions Evaluation This evaluation refers to the student's assessment of the adequacy of his local community's facilities such as schools, libra- ries, roads, etc. This assessment may range from positive to negative. As in the case of community satisfactions, this variable will be measured by a scale consisting of certain facilities and institutions present in the community and other nearby communities. 4. Family Obligations Family obligations refer to the student's assessment of the level of obligations that he has toward his family. It ranges from high obligations, those obligations that have to be carried out by the student only if he remains in the home community, to low obliga- tions, those which do not require his presence in the home community in that someone else could take over these obligations. 5. Migration Plans Migration plans refer to the respondent's intentions to migrate or remain in the home community. His intentions range from a firm intention to migrate to a definite intention to stay. Hypotheses: A. Relationship between independent and dependent variables. Hypothesis 1: A direct relationship exists between educational aspirations and plans to migrate. Hypothesis 2: Hypothesis 3: Hypothesis 4: Hypothesis 5: 64 A direct relationship exists between occupational aspirations and plans to migrate. An inverse relationship exists between community satisfaction and plans to migrate. An inverse relationship exists between community evaluation and plans to migrate. An inverse relationship exists between family obligation and plans to migrate. B. The relative predictiveness of the independent variables. Hypothesis 6: Hypothesis 7: Hypothesis 8: Hypothesis 9: Hypothesis 10: The instrumental variables (educational and occupa- tional aspirations) will be more highly related to migration than will any of the other variables. Controlling for the levels of community satisfaction, the lower the level of satisfaction, the less predic- tive are the educational and occupational aspirations on the part of those who plan to migrate. Controlling for the levels of family obligations, the higher the level of family obligations, the less predictive are educational and occupational aspira- tions on the part of those who plan to migrate. Controlling for the levels of satisfactoriness with the community social provisions, the less predictive are educational and occupational aspirations on the part of those who plan to migrate. The total proportion of migration plans explained by low levels of community satisfaction (those who plan Hypothesis ll: Hypothesis 12: C. Structural variables. 65 to migrate irrespective of other factors) and by high levels of family obligations (those who plan to stay irrespective of other factors) will be considerably less than that explained by the educational and occu- pational aspirations. Educational aspirations will be directly related to occupational aspirations. The higher the level of occupational aspirations, the higher the level of educational aspirations and, therefore, the greater the tendency to plan to migrate. (intervening) variables influence on the independent (1) Cultural orientation of the respondent's families. Hypothesis 13: Youth from traditional families as compared to those from "modern" families will exhibit: (a) lower levels of educational and occupational aspirations, (b) higher levels of community satisfaction and community evaluation, (c) as a result of these differences, a much lower proportion will plan to migrate. (2) Social status of the respondent's families. Hypothesis 14: The educational and occupational aspirations will be influenced by the social status of the respondent's families. They will be directly related to the social status level of adolescent's families. 66 (3) Respondent's birth order. Hypothesis 15: The educational and occupational aspirations will be influenced by the birth order of the respondents; they will be inversely related to the birth order of the individual in the family. CHAPTER III RESEARCH METHODS AND PROCEDURES This chapter deals with issues concerning the operationaliza- tion of this study. It includes a description of the area in which the study was conducted, how the test population was selected, and a description of the field work. In addition, this chapter treats the operationalization of the major research variables and a descrip- tion of the analytical techniques to be used in the analysis of the data. Description of Jabal Nafusah Area For more than 200 miles along the Mediterranean coast coastal oases alternate with sandy areas and lagoons. Inland from this area lies the Jefara Plain, a triangular area of some 6,000 square miles. Approximately 80 miles from the coast the plain abruptly ends at an escarpment that rises to form the 200 mile-long Jabal Nafusah, a plateau ranging from 2,000 to 3,000 feet in elevation. These heights which mark the southern boundary of Libya's Western Region are a part of the Atlas Mountain range (See Fig. 1). But actually they constitute a distinct physical feature, for the Atlas Mountains terminate at the Tunisian Border. Here and there in the Jabal mountain evidences of former volcanic craters and sheets of lava may be found. The mountain has several local names such as 67 68 Awmgm auspm ochv mmmzmwz _mnmw mo cowumoop mg» ”_ sawsm ELEM , .neaex s C . -1 l- n. . -. .u .. 2......“ -7 \...... . . ...aa (awzwemcam a/Qv. 1; .- o . o u. 1...“ ..U. “NH-NW“.- o o...‘ 3%. kuwknuawsfimxx. /’ «gnaw. 1.12..) VI n o7 - oldo/ . .. z 1% . s 4", ~\ (I. r‘ 0.9V .r a ,.r-1\ 1 «.3 .\... lb . «N. a. no on non-f I .7 u . . ....,,..\ .so no. Q. nf \ .3“. \ ... .r . ../. «ESQ. Show; 69 the Gharian Range or Gharian Mountain, but geographically speaking, it is alluded to merely as the Jabal Nafusah. However, the adminis- trative name according to the 1973 classification is known as Gharian Province. As depicted in Figure 2, the province lies due south of Tripoli. Gharian, the provincial administrative and commercial center, is located about 80 miles from Tripoli and is reached by a modern high- way which penetrates the mountain and stretches to the oasis of Ghadames in the southwest. The Gharian province is reputed to con- sist of 110 villages and had a population of about 154,297 according to the 1973 census. Approximately 5 percent of the households were classified as nomadic and semi-nomadic in 1973 as compared to 25 and 42 percent in the 1964 and 1954 censuses, respectively. The economy of the region has struck a balance between farming and pastoralism. A shifting between these two activities was neces- sary in order to integrate fully the resources of the area. Further- more, agriculture and herding are determined by the distribution of the rainfall which varies in the province from 330 millimeters around Gharian to less than 100 millimeters around Nalut. The main agricul- tural crops grown in the region are barley, wheat, olives and Mediter— ranean fruits. These are combined with sheep and goat husbandry. Traditionally, the agricultural year begins in September with the harvesting of olives. In October, barley and wheat are sown in selected plots and the harvest season starts in April for the cereals. Figs are harvested in July and almonds are harvested in mid-September. This was the way of life for many years until it was disrupted by ...2cc~ . . 3..;. “M53322 .. / .\ n. no. / ‘o- // ./ .. ..u... n In on union. . ‘..nl.l, . IOCIIr . assiqi/ ., -.onvl..F. . fiu‘Voq... .... «m... n... \ II- 11 ‘11.. \\ . a .. l . I ~33 NM «.332 CSCON JVNK. ‘ . sslmm (Irkuum. 'lxl.a...fi‘ x f -.T.4.\Qm3.\§z N QcQ. _. .s J . (c 5.5 . . c (I). CngQ wumkmx. ' . ~\. ~....J’/ / I .If. ,/ ..1 Ln”... // . .... wr/ . .n 1 . ..N ..r. .1 .././c ......4....w .. ..\ . .... .. ..u. .. . «b . o . nuuuyj l - 0. Io- . I 71 modernization and development brought about by the oil wealth in the mid 19605. As a result, masses of people in the province took refuge in the government bureaucracy or moved toward the urban centers. Agriculture and herding, however, still are the main activities in the region. There is no industry and since 1969 emphasis has been placed on agriculture. The main agricultural projects in the area are those of A1 Haie and Allathel Valley, in which 35,000 hectares were targeted for reclamation. This land was to be divided into farms of 25 hectares each for the settlement of the nomads and semi- nomads in the region. Population Structure In 1973 the population of the province was primarily rural. Out of the 154,297 inhabitants almost 84 percent were rural and the only urban center is the town of Gharian with a population of 7,451. The population of the 110 small villages and localities which consti- tute the province ranges between 500 and 5,000. Over half of the villages have a population ranging between 1,000 to 2,000. Further- more, 24 percent and 11 percent have populations ranging from 500 to 1,000 and less than 500, respectively. With respect to age, sex and educational attainment, the pro- vince had higher proportions of young people (under 15 years of age) and of aged persons (65 years of age and over) in 1973 than in 1964. The proportion of persons 15 or less increased from 45 percent in 1964 to 52.1 in 1973, while the percentage of those 65 and over advanced from 6.8 to 9.0 percent during the same period. Persons in the economically productive age (persons between 15-35 years of age) 72 had decreased from 28.6 to 23 percent between 1964 and 1973. The sex ratio of the region was slightly lower than that of the whole country in 1973, or 105 as compared to 106 males per 100 females, respectively. In contrast, the sex ratio was identical for the region and the whole country, in 1964, or 108 males per 100 females. Table 9 presents school enrollment by sex in the province for 1964 and 1973. It reveals that there was a great improvement in educational participation, especially among males. Overall, the number of males at all levels increased from 17,781 in 1964 to 27,412 in 1973, whereas the number of females at all levels advanced from 3,229 to 13,633 for the same period. While only .03 percent out of the total student population attending secondary school in 1964 were females, the percentage increased to .76 percent in 1973. The per- centage of males attending secondary school, on the other hand, in- creased from 3.1 to 4.2 percent or from 668 in 1964 to 1,816 in 1973. The 1973 census reveals that the region experienced the highest rate of out-migration in the entire country since 1964 (See Table 10). The number of migrants amounted to 63,000 persons and as Table 11 indicates, the major movement of these people was toward Tripoli, the capital city. Lesser migration streams went to Benghazi, to Zawia about 30 miles from Tripoli, and to Sebha in the south. About 87 percent resided in Tripoli whereas only 4 per- cent resided in Benghazi. The major reasons for selecting the area just described in which to carry out this study may be summed as follows: 73 Table 9 Educational enrollment for Gharian province 1964-1973 YEAR - SEX LEVEL OF ATTENDANCE 1964 1973 M F M F Primary 14,492 3,140 19,361 12,416 Preparatory 2,452 82 5,650 891 Secondary 668 7 1,816 313 University 169 - 585 12 Total 17,781 3,229 27,412 13,633 *Source: Compiled from 1964 and 1973 Censuses. (1) The area is completely rural, with only one urban place which serves the province as an administrative and market center. (2) Agriculture and pastoralism are the dominant industries and the province is not subject to rapid urbanization in comparison to the other provinces in Libya. (3) The province registered the highest rate of net out- migration (40.5 percent) and this rate was especially high among young people. 74 Table 10 Net and Gross migration for the ten provinces of Libya,1964-l973 r 7 Rate of Net Rate of Gross Province Migration Migration Derna - 5.5 23.7 Gibal Akhdar + .6 27.6 Benghazi +16.5 28.6 U-wwkm -»93 234 Misurata -16.1 22.8 Homs -32.5 35.8 Tripoli +19.2 28.7 Zawia - .8 24.2 Gharian -40.5 43.8 Sebha - 4.0 16.6 Source: Census and Statistical Department, 1979: 65. Table 11 Volume and direction of migration out of Gharian province, 1964-1973 N % From To 52,377 87.3 Gharian Tripoli City 4,151 6.9 Gharian Zawia 2,337 3.9 Gharian Benghazi 1,134 1.9 Gharian Sebha Source: Census and Statistical Department, 1979: 55. 75 The Test Population The main focus of this study, as indicated earlier, is the in- vestigation of the migration decision-making among rural youth in Libya who had not yet taken up a permanent adult occupation. High School seniors enrolled in the spring of 1981 in the Gharian Area, therefore, were suitable as the test population. These young people are at the stage in the life cycle to become highly involved in occupational and migration decision-making. In order to obtain a complete enumeration of all adolescents in the area, the author obtained a list of all schools, principals and students living in the province from the Department of Statistics in the Secretary of Education in Tripoli. Based on this information, exploratory field work was conducted in the spring of 1981 and a comprehensive survey of the High Schools was carried out. First, a letter from Al Fateh University explaining the importance of the study was obtained to facilitate cooperation in the field work. Upon receipt of this letter the educational authorities in the area were contacted and they agreed to give assistance to the survey. Later the six schools were visited and the research purpose was explained to the principals and teachers who offered their coopera- tion. As a result, all seniors in the five High Schools in the Gharian 1 ’ Province constituted the test population. Of the 733 students 1The high school located in the Zentan village was excluded since it did not have a senior class in 1981. Also about 93 seniors who resided in the Gharian town were excluded since it resembles somewhat an urban center in terms of the size of its population and the services it provides. 76 registered in the senior classes, 503 or 68.6 percent completed schedules for this study. The remaining 31.4 percent who did not participate consists of those who had exam obligations, the majority of whom were from the school located in the town of Gharian. InterviewingiRespondents During the exploratory field work two schools were selected for the pre-test of the instrument, one in the vicinity of the town of Gharian and the other in the village of Mizda. The instrument used for data collection was designed as an administered question- naire. The first version was constructed in English and drew upon previous research, especially that of Goldsmith and Beegle (1962), Schwarzweller (1974) and Hannan (1967). Extensive modifications were made to fit the Libyan conditions. The English version of the questionnaire was translated into Arabic by the author which was then given to a colleague at Al Fateh University to be translated back into English. Finally, this ver- sion was translated back into Arabic by different colleagues from the same university. These steps were very important to insure that the meaning of the words, phrases and questions did not lose their meaning in the translation process. The four versions of the instrument were compared for consis- tency, and a few changes were made which resulted in the final in- strument to be used. Two series of pre-tests were carried out for the final Arabic version with a sample of 25 respondents from Gharian, and then using the initially revised form, with 17 respondents in another school in the village of Mizda. Some revisions were made as 77 a result of the first pre-test and the final form of the schedule was prepared, with a few corrections resulting from the second pre- test. All the schools included in the study at this point were famil- iar with the study and they were visited again to set a time for the interviews with the students. This step, however, was the most prob- lematic one in some schools since it was agreed at an early stage of the research with some teachers that in order to obtain full coopera- tion of the students the interviews should not be conducted during their free time but rather during regular classes. The plan was not agreed to by a few teachers who refused to volunteer their class time for the interview. In these few cases a callback was necessary and appointments were made with other teachers to conduct the interviews. Due to the scarcity of trained interviewers on one hand and to the sophisticated nature of the schedule on the other, the author conducted and supervised all the field work to assure standardization and to avoid any misinterpretation of the questions by the students. In so doing, the writer was present with the teacher at the time the schedule was distributed. An orientation was given to the class about the study and its importance to their local communities and the coun- try as a whole. A brief description of the questionnaire was then made, and questions were answered whenever the students faced diffi- culties in understanding the question. The instrument took approximately ninety minutes to complete. (See Appendix A for the questionnaire used.) Information was obtained from each student covering the following broad areas: (1) (3) (4) (7) (8) 78 General demographic, social and economic background data on the student and his family. The student's migration intentions and reasons given for migrating if thinking of doing so. The student's level of community satisfaction. The student's specifications of an ideal community. The extent to which a student believes his specifications for an ideal community can be met in his community of residence. The student's attitude toward his community's social pro- visions. The family obligations of the student. The cultural orientation of the student's family. The student's educational and occupational aspirations, and the extent to which he believes that these aspira- tions can be fulfilled locally. Procedures for Operationalizing Main Variables As pointed out earlier, the instrument used in this study was designed to obtain information from High School seniors about their migration intentions. The questions in the questionnaire were con- structed to measure the major variables and where applicable scaling techniques were used. The procedures used to operationalize the major variables are outlined in the following pages. (1) Dependent Variable: Migration Intention A single straightforward question is employed in the schedule to measure this variable. The students' (2) 79 intention to migrate or to stay in the home community are determined from responses to Question 32 which reads ... "How definite are you about intending staying or moving from your community after graduation?" a. Definite intention to move ( ) b. Indefinite whether to move or stay ( ) c. Definite intention to stay ( ) Independent Variables (A) Educational Aspirational Level The aspirations were determined by a single question with fixed alternatives. The responses to this Question 53 on the type and amount of further education aspired to beyond High School were classified and ordered into a four- category scale which placed each student's educational aspirations along a four-category scale from high to low educational aspirations. Students are considered as planning to go on for addi- tional training after High School if they respond "Yes" to Question 53, and designate what type of training they intend to obtain. All other students are considered as not planning to go on for further education. The type of training that students intend to obtain is determined from the following: a. ) College? Where? ( b. ( ( ( Trade school? If so, where? ) ) Vocational school? If so, where? ) Other, what and where? 80 (B) Occupational Aspiration Level To measure this variable, each respondent was cate— gorized on the basis of a series of three questions sim- ilar to those used by Sewell and Haller (1963:25) which range from an idealistic to a realistic choice. These questions are the following: Question 50 "If you could have any occupation you wanted, regard- less of location or the amount of training or exper- ience required, what occupation would you choose? Question 51 "What kind of occupation(s) are you now seriously considering as a life-time work? a. First choice b. Second choice ." Question 52 "What is the first occupation that you think you will get? ." These occupational choices were then ranked in terms of the occupational rating scale developed by the author (See Appendix B for details of the scale construction). This resulted in the assignment of the occupation aspired to by the student to two ordinal occupational categories as follows: (1) the highest status group - high occupa- tional aspirations and (2) the lowest status group - low occupational aspirations. 81 The final scale used to measure the level of occupa- tional aspirations includes 15 occupations, the most prestigious of which was "Engineer" and the least pres- tigious was "Technician." Below is the code and score resulting from scalegram analysis: 2mg 520:2 High 0 33 1 64 2 40 3 38 4 32 5 39 6 41 7 53 8 26 9 21 10 23 11 25 12 19 13 15 14 23 Low __31_ _lj__ Total 503 (C) Community Satisfaction In Operationalizing the dimension of community satis- faction, the scale items of the Michigan studies and the Question 33 82 Vernon Davies (1945) scale items were utilized, with con- considerable modification to fit the Libyan situation. Eleven items were initially used in the schedule. Nine items were retained later for the final analysis since they gave high item variability. The eleven items are given below. Strongly Strongly Agree Agree Undecided Disagree Disagree a. I am 100 ward to king for- ( ) ( ) ( ) ( ) ( ) leaving this community . Any youn looking nition a experien 9 people ( ) ( ) ( ) ( ) ( ) for recog— nd new ces should leave this community . Not much said of can be ( ) ( ) ( ) ( ) ( ) th1s community, its size, lo cation and climate . No one s eems to ( ) ( ) ( ) ( ) ( ) care how young people get on in this community . It is di for the get toge anything . There is bickerin people i fficult ( ) ( ) ( ) ( ) ( ) people to ther on too much ( ) ( ) ( ) ( ) ( ) 9 among n this community not too . The futu . This community is ( ) ( ) ( ) ( ) ( ) bad really re of this ( ) ( ) ( ) ( ) ( ) community looks bright 83 Strongly Strongly Agree Agree Undecided Disagree Disagree i. The people of this ( ) ( ) ( ) ( ) ( ) community are very friendly and help- ful to one another j. This community is ( ) ( ) ( ) ( ) ( ) a good place to live in k. I am very eager to ( ) ( ) ( ) ( ) ( ) spend my life in this community, if I can at all. An item analysis of the responses was carried out on 503 respondents using the correlation coefficient technique discussed by Green (1954) and Shaw and Wright (1967:24). First, the eleven items were divided into negative items and positive items. For the first six items of the scale, responses of "Agree" or "Strongly Agree" were each scored as (0), responses of "Disagree" and "Strongly Disagree" were each scored (1). For the remaining positively worded items (items 9 to k) the scoring is reversed. Responses of " Undecided" were coded as (0). . L. .. w....n.-4—....~_ %W«AM " Item scorea were the" certsletee with Eefie1H§92r9.1tbe ;> sum of item scores), and items that correlated highly with ‘\\ :3 Ehe total score were Ehsn...se.1e9ted for. the. ..fine_1....s_.c_aleg .4 .. ,.a .ML- The least discriminatory and those with weakest_correlation .1€EH“€Hé 511'." of 13905 were items b.end e; To confirm that these two items had to be excluded from the scale, a test of reliability using Cronbach's Alpha and Standardized Alpha was conducted. This in turn would test 84 the uni-dimensionality of the scale and how well the items were related. Below is the formula used to carry out this step: o€= KV/r S l+(K+l)-F where K is number of items, and Eris the average correla- tion between items. Subsequently, three separate tests of reliability were carried out. The first test with inclusion of the eleven items gave Cronbach's alpha value of .82 and standardized item alpha of .81. The value of alpha, however, increased when item (b) was dropped out from the test to reach .82 for the standardized one but remained almost the same for Cronbach's alpha. When item (c) was excluded, standardized alpha reached almost .83. This, however, confirmed the earlier findings that items b and c were the least discrim- inatory.* The remaining nine items then were accepted as a uni- dimensional scale, and the nine items were found to dis- criminate between the top and bottom quartiles. The scale was then used to measure the community satisfaction variable and it was scored from 0 to 9, from high to low satisfaction. (0) Attitude Toward the Community Social Provisions This was operationalized by utilizing a modified ver- sion of the Hannan scale items designed in a fashion similar *The values of alpha obtained here are somewhat less than the desired standard (.90). These values, however, were accepted for the purpose of this study and were considered satisfactory. 85 to scale used to measure community satisfaction. The scale consisted of 10 items representing 10 separate institutions, social facilities and community services. An item analysis was carried out in which the item scores were correlated with the total score (the sum of item scores). The scoring was similar to the previous score except that this scale had no negative items. The Likert's categories, therefore, were coded by assigning (l) to "StronglyAgree" and "Agree" and (O) to "Disagree" and "Strongly Disagree." The "Unde- cided" category was scored (0). Item(a)was excluded which had a very weak correlation (r = .38) and did not seem to differentiate between the respondents. Hence, the resulting scale had nine items. A reliability test was also carried out to confirm that the items were well related, consistent and constituted a unidimension scale. The Cronbach and standardized alpha values for the nine items were .86 and .87, respectively. The scale was scored from 0 to 9; it ranges from positive to negative evaluation of the community social provisions. The ten items used for the construction of this scale are given below. Strongly Strongly Question 34 Agree Agree Undecided Disagree Disagree a. A place that is ( ) ( ) ( ) ( ) ( ) nearer a big town than the one you live in b. A place that has ( ) ( ) ( ) ( ) ( ) better roads than the one you now l1ve in O 86 Strongly Strongly Agree Agree Undecided Disagree Disagree . A place that has ( ) ( ) ( ) ( ) ( ) better primary and preparatory schools than the one you now live in . A place which is ( ) ( ) ( ) ( ) ( ) nearer to libraries, secondary and other institutions . A place which allows( ) ( ) ( ) ( ) ( ) me to enjoy my time off better than my home community . A place where a ( ) ( ) ( 1 ( ) ( ) person would not have to go so far to enjoy sports events, enter- tainment like movies and musi- cal events . A place that has ( ) ( ) ( ) ( ) ( ) better facilities for games than this one has . A place where ( ) ( ) ( ) ( ) ( ) people showed more interest in com- munity work, orga- nized clubs and teams for young people to play and enjoy themselves '. A place where there ( ) ( ) ( ) ( ) ( ) would be more young people to spend spare time and organize games with '. A place that is ( ) ( ) ( ) ( ) ( ) nearer to shops and good shopping facili- ties than the one you live in 87 (E) Family Obligations In Operationalizing this variable a sequence of three questions were submitted to the student, Questions 42, 43, 44: Question 42 Do you help out your family, or some other relation in any way? ( ) Yes ()No If "Yes," please give details of what you do: Question 43 Do you think that your family, or some other relation depends on your help to any extent? ( ) Yes ( ) No If "Yes," how much: ( ) A great deal ( ) Somewhat ( ) Undecided ( ) Not very much Question 44 Now, if you were to leave your community and home, could somebody else do the work that you are doing for them? 88 Yes, very easily ) ) Yes, somewhat easily ) I don't know ) No, not very easily ( ( ( ( ( ) Not except with difficulties Responses then were categorised in the following manner: a. No Obligations: (1) if the student answered "No" to Question 42 or (2) answered "Yes" to the same question, but the type of obligation as detailed by him did not require him to remain at home to ful- fill them. Slight Obligations: (1) if respondent answered ”Yes" to Question 42 and beside going to school he does some work at home in the evening or in his spare time, also (2) his family does depend on him "somewhat" or "not very much" (Question 43) and (3) somebody else could carry out these obligations "very easily" (Question 44). Medium Obligations: (1) if answered "Yes" to Ques- tion 42, and works evening with the family while going to school during the day and (2) family de- pends on his help "a great deal" or "somewhat" (Question 43), (3) but could not be replaced "very easily" (Question 44). High Obligations: (1) if answered "Yes" to Ques- tion 42, and carries a great deal of responsibilities 89 at home, and (2) family depends on him a "great deal" (Question 43), and could not be replaced "except with difficulties" (Question 44). (F) The Cultural Orientation of the Respondent's Family A scale composed of 18 items similar to that of Sewell (1943) was believed by the researcher who grew up in the area studied to be useful in distinguishing between families from different cultural orientations. In the pre-test procedures this was proven to be true. These items, there- fore, were introduced to the respondents in the schedule. They are found in Appendix A, Questions 26, 27, 28. In the process of item analysis, however, some of the items did not discriminate between the families. For in- stance, the item concerning father's membership in trade unions (Question 28) was not discriminating, since only 33 percent indicated membership, and it has a very weak cor- relation with the sum of item scores (r = .14). Other items which were excluded from the scale were e, f, g, k, l and item a, b Question 27. These items range from those that are accessible to every family to those that are not avail- able in most of the sections of the area, such as telephone service and reading media. Ten items were proven to constitute a reasonable uni- dimensional scale as a determinant of the cultural orienta- tion of the family. These items were found to discriminate a... ...s'a.‘ 90 between the top and the bottom quartiles. The scale was scored from 0 to 10 (from traditional to modern) and the reliability test revealed that the items were very consis- tent with alpha values of .85 and .86, Cronbach's and Standardized,respectively. (6) Position of Respondent in the Family Cycle This was measured by using two questions in sequence, Question 20, 21, where the student was asked to give the number of his older and younger siblings. In operationaliz- ing the birth order of the respondents, three categories were used: the oldest child in the family, the second old- est, and the third or higher orders. (H) Respondent's Family Social Status This was operationalized by classifying respondents by the occupational status level of their families. Question 9 asked the students to indicate their father's main occupa- tion. These in turn were assigned the 1973 census continuum classification of occupations. Consequently, the occupations were classified into five groups. Method of Analysis The use of bivariate and multivariate contingency tables will be employed in an attempt to put the data collected into a format neces- sary to validate the hypotheses stated in this study. This technique is the most appropriate one that would produce approximately equivalent information to that of analysis of variance. Analysis of variance can- not be employed here due to the level of measurement established for 91 the independent variables (ordinal and nominal) and for the dependent variable (migration plans) ordinal. The strength of the relationship between the independent variables and the dependent variables will be measured by Goodman and Kruskal's Gamma. In such cross classification, Gamma measures the difference in the conditional probabilities of like and unlike order. It shows how much more probable it is to get like than unlike order in the double classification, when two individuals are chosen at random from the population. If there is independence, the order within one classifi- cation has no connection with the order of the other. In this case, Gamma is 0. If there is high positive association between the two, the order on one classification would generally be the same as that of the other classification and Gamma in this case approaches plus 1. If there is counter-association, the order in one classification would be directly opposite that of the other and in this case Gamma approaches minus 1 (Goodman and Kruskal, 1954; Davis, 1971)- CHAPTER IV HYPOTHESIS TESTING AND RESULTS This chapter reports the results and the extent to which they conform to those hypotheses stated in Chapter Three. The following format will be used: (1) a statement of the hypotheses will be pre- sented in their operational form giving both the null and alternative forms; (2) the data necessary to substantiate the hypotheses will then be presented in contingency tables; and (3) Gamma will be used as a summary measure of association for each contingency table. Educational Aspirations and Migration Plans Hypothesis 1 Ho: Differences in migration plans will be unrelated to levels of educational aspirations. H]: Migration plans will be directly related to beliefs that \ educational aspirations cannot be fulfilled locally. TWented in Table12 reveal that a very strong positive )k correlation exists between educational aspirations and plans to __‘_-_____/ “k migrate. Almost 72 percent of those who have high educatiopgl,§§91;c -____"’gfl_____ rations plan to migrate compared with only 13.2 and 6.7 percent of fm-w those who have the two lowest levels of educational aspirations.“7 Conversely, the percent of students who plan to stay at home after graduation increases from only 3.4 percent for those with high 92 93 Table 12 The relationship between educational aspirations and migration plans Levels of Educational Aspirations Migration P‘lans LOW """""""" High 1 2 3 4 Definite plan to stay 44.4 64.2 21.5 3.4 -tu==£:r' Indefinite whether 48.9 22.6 51.4 24.8 to stay or migrate Definite plan 6.7 13.2 27.1 71.8 to migrate % 100.0 100.0 100.0 100.0 ma] N 45 53 107 294 N = 499 Gamma = .753 educational aspirations to over 44 percent for those with the two lowest levels of educational aspirations. The null hypothesis of no association between educational aspirations and plans to migrate, therefore, must clearly be rejected and the alternative must be accepted. Further, the consistency of the relationship as stated in the alternative hypothesis is confirmed. The Gamma measure indi- cates the magnitude of the relationship. It indicates that if one were to make a number of random draws from this double classification, picking two individuals on each draw and given the order of the two individuals relative to one another on the educational aspiration classification, the probability of estimating their relative ordering on the migration planning classification is increased by 75.3 percent 94 over a random guess. That is, the probability of like order on both variables is 75.3 percent. Occupational Aspirations and Migration Plans Hypothesis 2 Ho: Differences in migration plans will be unrelated to levels of occupational aspirations. H]: Migration plans will be directly related to beliefs that r “M“ occupational aspirations cannot be achieved locally. ,3; QQJUAGT W _.../ to. .3, Table 13 shows that the data are consistent with hypothesis 2 9&3\v@¢ and that there is a strong association between occupational aspira-\«fij§&&LD> tions and plans to migrate. Therefore, the null hypothesis, again, - must be rejected, and the alternative hypothesis must be accepted. Table 13 The relationship between occupational aspirations and migration plans Levels of Occupational Aspiration Miggation Lowest Medium Highest ans Level Level Level Definite plan 44.9 20.8 8.2 to stay Indefinite whether 42.9 24.7 31.0 to stay or migrate Definite plan 12.2 54.5 60.8 to migrate % 100.0 100.0 100.0 T°ta' N 98 77 319 N = 494 Gamma = .567 95 Over 60 percent of those who have high levels of occupational aspira- tions (professional occupations such as engineers, doctors and law- yers) plan to migrate, compared with only 12.2 percent who aspire to the lowest levels of occupations (e.g. primary school teacher, clerk and the like). Conversely, for those who plan to stay in their local community percentages increase with the decline of the level of aspira- tion from 8.2 to nearly 45 percent. However, the relationship between occupational aspirations and migration plans is not as strong as that between educational aspiration and migration, as shown by the Gamma measure of .753 and .567, respectively. The smaller Gamma measure may be attributed to those who are not definite as to whether to stay or to leave their community. Community Satisfaction and Migration Plans Hypothesis 3 Ho: Differences in migration plans will be unrelated to levels of community satisfaction. H]: Migration plans will be inversely related to levels of community satisfaction. Results bearing on the above hypothesis are presented in Table 14. The expected relationship between the level of community satis- faction and migration plans is supported in that there is a very strong correlation between community satisfaction and plans to migrate. The null hypothesis, therefore, must be rejected and the alternative hypothesis is clearly validated. The inverse relationship found shows that the percentage of students planning to stay at home increases systematically with the 96 ascending levels of community satisfaction. That is, 3.3 percent of the most dissatisfied students plan to stay while almost 63 percent of the most satisfied students plan not to migrate. Conversely, 81 percent of those having the lowest level of community satisfaction plan to migrate as compared to only 12.5 percent of those with the highest level of community satisfaction. The overall relationship between community satisfaction and migration plans is very consis- tent. The Gamma value of -.65 indicates the magnitude of this rela- tionship. It is, however, not as strong as that between educational aspiration and migration, but surprisingly, it is greater than that between occupational aspiration and migration plans. Table 14 Relationship between community satisfaction and migration plans Levels of Community Satisfaction Migqgfiion Lowest Scores --------- Highest Scores 0 & l 2 & 3 4 & 5 6 & 7 8 & 9 Definite plan 3.3 1.2 15.5 23.5 62.5 to stay Indefinite whether 15.8 30.2 43.6 51.0 25.0 to stay or migrate Definite plan 80.8 68.6 40.9 25.5 12.5 to migrate % 100.0 100.0 100.0 100.0 100.0 ma" N 120 86 110 98 56 N = 470 Gamma = -.649 97 Community Evaluation and Migration Plans Hypothesis 4 Ho: Differences in migration plans will be unrelated to levels of attitude toward community's social provisions. 1: Migration plans will be inversely related to levels of attitude toward community's social provisions. The expected relationship between attitude toward the community's social provisions and plans to migrate is supported in that the rela- tionship is in the direction predicted. Therefore, the null hypothesis must be rejected in favor of the alternative hypothesis. As can be seen from Table 15, over four-fifths (58.1 and 60.7%)of those who have Table 15 The relationship between community evaluation and migration plans Migration Attitude towards the Community's Social Provisions Plans Negative ---------------- Positive 0 & l 2 & 3 4 & 5 6 & 7 8 & 9 Definite plan 6.3 11.8 39.4 35.4 37.5 to stay Indefinite whether 33.1 30.1 36.6 33.3 30.0 to stay or migrate Definite plans 60.7 58.1 23.9 31.3 32.5 to migrate % 100.0 100.0 100.0 100.0 100.0 T°ta' N 239 93 71 48 4o N = 491 Gamma = -.414 98 evaluated their community's social provisions negatively plan to migrate, while only less than one-fifth (31.3 - 32.5%) of those who have positive evaluation of their community plan to migrate. However, the order of the relationship is not consistent, and it is less strong than that already observed between community satisfaction and migra- tion plans, where the Gamma measures are -.414 for the former and -.649 for the latter. Family Obligations and Migration Plans Hypothesis 5 Ho: Differences in migration plans will be unrelated to levels of family obligation. H1: Migration plans will be inversely related to levels of family obligation. The expected inverse relationship between family obligations and migration plans may be observed from Table 16. Over three- fourths (72.3 and 55.2%) of those with no or slight obligations plan to leave the community whereas only about one fourth (31.6 and 31.8%) of those with medium and high levels of family obligations plan to leave. Among those who plan to stay in the community, the proportion having high or medium obligations encompasses 27.3 and 33.8%, respec- tively, compared to only 6.2 and 11%, respectively, fOr those who have no or slight obligations. It is worth noting, however, that a relatively large proportion of students are having second thoughts about migration. Almost 33 percent of the respondents fell into the category of "indefinite whether to stay or leave." Within this group 21.5 and 33.9 percent stated they have no and slight obligations, 99 respectively, and 34.6 and 40.9 percent, respectively, stated they have medium and high obligations. Furthermore, the overall predic- tability of the family obligations variable is greater than that of attitude toward community's social provisions. Hence, the null hypothesis is confirmed. Table 16 The relationship between family obligations and migration plans Levels of Family Obligations Migration Plans None Slight Medium High Definite plan 6.2 10.9 33.8 27.3 to stay Indefinite whether 21.5 33.9 34.6 40.9 to stay or migrate Definite plan 72.3 55.2 31.6 31.8 to migrate % 100.0 100.0 100.0 100.0 70'3' N 65 230 133 22 N = 450 Gamma = -.447 The Relative Predictiveness of the Instrumental and Non-Instrumental Variables Hypothesis 6 H0: There will be no difference in the strength of the relationship between migration plans and any of the independent variables used (educational aspirations, occupational aspirations, community satisfaction, community evaluation, and family obligations). 100 H]: The instrumental variables (educational and occupational aspirations) will exert stronger relationships with migra- tion plans than that between the non-instrumental varia- bles and migration plans. The data necessary to substantiate the differences in the strength of the independent variables and migration plans can be de- rived from previous tables used to test each hypothesis individually. In that sense, the Gamma statistic is used as an index of association. Table 17 summarizes the results which are used to test the above hypo- thesis. As can be seen from Table 17, the strength of the relationship between educational aspirations and migration plans is greater than any of the other independent variables and migration plans, in— cluding occupational aspirations. Further, the relationship between occupational aspirations and the dependent variable is not as strong as that between community satisfaction and migration plans. The Gamma statistic is .57 for the former and -.65 for the latter. The null hypothesis, therefore, must be rejected and the alternative which only received partial support also cannot be accepted. The alterna- tive hypothesis could be accepted if the occupational variable is excluded. Then the instrumental variable (educational aspirations) ' would be more closely related to migration plans than any other independent variable. Since the alternative hypothesis was not completely supported, two further independent tests were conducted to either confirm or reject the above findings. The first test is based on data extracted 101 Table 17 A comparison of the relationships between the five independent variables and migration plans, using Gamma as an index of association ndepen- Educa- Occupa- Commu- Commu- dent tional tional nity nity Family Aspira- Aspira- Satis- Evalua- Obli- Dependent tions tions faction tion gations Migration 0.753 0.567 -O.649 -0.414 -O.447 Plans by means of a series of questions which asked respondents about the possibility of staying in the community if his educational and occu- pational aspirations could be achieved locally and if local facilities were to be improved (Questions 40, 50 and 53). Those who were either definitely planning to migrate, or who were indefinite about whether they would leave or stay and their re- sponses were selected and their responses to the above questions are summarized in Table 18. This table shows that out of the 369 (73.4% of total) prospective migrants, over 50 percent indicated that they would stay home if both their educational and occupational aspirations were attainable in the local community. However, those who indi- cated they would stay if their educational aspirations could be satisfied locally are more than twice as large as those who would remain at home if their occupational aspiration was available locally, 26.3 and 12.7 percent, respectively. In contrast, only a small minority (9.2%) of prospective migrants indicated that they would not stay even if their instrumental aspirations (education and occu- pation) could be achieved locally. These respondents have 102 aspirations for better community facilities or for personal relation- ships which they think cannot be fulfilled locally. Table 18 Proportion of students having some intention of migrating who indicated they would stay if: Educational Occupation Only if both Would not stay level aspired to educational for A, B or C aspired to available level & occu- but only if obtainable locally pation aspired community locally to available facilities locally improved Total N 97 47 191 34 369 % 26 .3 12.7 51.8 9.2 100.0 The data presented above, therefore, demonstrate the overall importance of instrumental aspirations on the part of those who in- tend to migrate. This in turn gives support to the rejection of the null hypothesis and the acceptance of the alternative. The second attempt to test the relative predictiveness of the independent variables is the use of an analogue to multiple regres- sion where the dependent variable is regressed upon the five indepen- dent variables. As data presented in Table 19 indicates, 50.1% of the variance was explained (P <'.OOl). Of the five variables, edu- cational aspirations had the strongest relationship with the depen- dent variable (Beta = .441, P w4 ; w: 0 - 0 _0>04 Eze002 m 1 o Fm>m4 304 covuummmwpmm prcsasoo we mFm>m4 mcmpa cowpwgmwz :QWpummmwpem auwczssou mo m_w>wp x2 mcmpn cowpmcmws 0:0 mcowumcwqmm chowuouzum cmwzumn avzmcowumpmc och om anmh 106 variable is concerned since the relationship between educational aspirations and migration plans (those who intend to migrate) is in a direction opposite that predicted. If we focus our observation on those who have definite inten- tion to stay at home, the alternative hypothesis would receive some support. That, a very small proportion of those who intend to stay at lower levels of community satisfaction compared to any other level, which is true across all levels of educational aspirations. The be- liefs of those respondents who are relatively dissatisfied with their home community (whether or not their educational aspirations are attainable locally), has less effect on plans to stay than is true for those who are highly satisfied with their local community. For those who plan to stay, the percentage differences between those with low and high aspirations at each level of community satisfac- tion may manifest what has been contended above. For those with low levels of community satisfaction, the percentage is 6.2 percent compared with 32.7 and 66.9 percent for those with medium and high community satisfaction, respectively. With respect to the occupational aspiration variable, Table 21 shows trends similar to those presented for educational aspira- tions. Here again the null hypothesis must be rejected but the alternative cannot be accepted since the predicted relationship be- tween occupational aspirations and migration plans is in a direction opposite to that predicted. At the same time, the overall relation- ship is higher at lower levels of community satisfaction than at any other level. The trend of this relationship, however, as 107 omm. u magma me. u magma mwm. u assoc _ we m_ mm mm Fm mm cop Pm mp 2 Punch o.oop o.oo_ o.oo_ o.oo_ o.oop o.oop o.oop o.oop o.oop a mumgm_e op m.~m m.o_ n.m m.om 3.30 m.o_ m._w m.Po m.m~ mcqu mpwcwmmc mumgmws Lo amum cu o.mm o._m _.~m m.Nm o.- m._m F.wp m.¢_ v.33 segues: mpwcwmmucH amum op m.~m m.mm _.Nm 3.“ m.m m.mm o.o w.m~ m.om mcmpa muwcwwma 30»: 533003 304 30;: 333003 304 303: 53w00: 304 mcompmgwam< chowpmazuoo m:o_pmcwnm< panoramasuoo mcowumg_nm< chowumazuoo mun 40304 30;: 01¢ pm>m4 Ezwcmz muo Pm>m4 3o4 ..cowuommmwumm xwwczssou umym4 mcmpa 003002033 cowpummm_umm zuvcaesou mo mpm>mp an mcmpn covumcmwe can mcowumcwamm Pacowpquooo :mwzpma uwcmcowumpmc mgp E 032. 108 measured by Gamma statistics is not as strong as that shown between educational aspirations and migration plans (Table 20, 21). To elaborate on the greater strength of the relationship be- tween occupational aspiration and migration plans at lower levels of community satisfaction (Gamma = .589), it is also due to the same fact stated earlier where the relationship between educational aspi- rations and migration plans was discussed. That is, a far greater proportion of those who aspire to high levels of occupations intend to migrate than those characterized by any other value of com- munity satisfaction. The support that one could find for the alternative hypothesis was only among those who plan to stay. That is, a relatively small proportion of this group at lower levels of satisfaction compared to any other level of the control variable. In addition to that, whether or not these respondents who are relatively dissatisfied (low levels of community satisfaction) believe that their occupa- tional aspirations can be achieved locally, has far less effect on their decision to stay than those who are highly satisfied with their community. In sum, the two instrumental variables, namely educational and occupational aspirations, make less difference for those who plan to stay and who have low levels of community satisfaction than it does for those who have higher levels of community satis- faction. Thus, in predicting who will remain in the community, the alternative hypothesis is supported, while it is not confirmed on the part of those who plan to migrate. However, the variations in 109 educational and occupational aspirations make a greater difference in plans to migrate at lower levels of community satisfaction than at higher ones. Hypothesis 8 Ho: There will be no difference in the relationship between education (and occupational) aspirations and migration plans for different levels of family obligations. H1: The relationship between educational (and occupational) aspirations and migration plans (on the part of those who intend to migrate) will be smaller for respondents with medium/high levels of family obligations than for those with lower levels of obligations. An examination of the data presented in Table 22 and 23 which are required to test this hypothesis do not reveal the expected re- lationship. However, major differences in the relative relation- ships between educational and occupational aspirations and migration plans do exist which leads to the rejection of the null hypothesis. 0n the other hand, the alternative cannot be accepted since these differences are in a direction opposite to that predicted. Table 22 indicates that for those definitely planning to stay, family obligations are not related to educational aspirations. For this group planning to stay, the highest proportions have low educa- tional aspirations at each level of family obligations. As shown in Table 22, for those who plan to migrate, it seems that high family obligations do not serve to prevent migra- tion if respondents believe that their educational aspirations 110 wen. u gum mmw. n EEO—w mam. .II 955w mm mm mm qv— om KN mv —— m o.oo_ o.oo— o.oop o.oo— o.oop o.oo— o.oo— o.oop o.oo— _000e N.mo —.m 0.0 m.—m _.Nm m.w_ m.mm ¢.m¢ o.mm mpmcaws ou mum—L mpwcwmmo N.om m._m m.mm o.mN ¢.mm m.mm w.m_ m.mv —.F— mumcm_a Lo xmum on cognac; mpwcwwmucH Amum ow 0.3 0.0m m.N0 m.m m.N_ _.30 3.0 _.0 m.mm 000_0 0030;;00 30_= 333003 304 30;: 03300: 304 40_: 20300: 304 mcowmeWQm< chowwmuzum mcowuaewam< chowpmosvm wcowuwcwam< chowumuaum 3033-33_003 0303_m 4 0:02 003mmdez .— L mcoccmmw_0o 343500 c0 040304 mcowpmmWFao x—wam; We mpw>wF An m:m_a coppocmwe 0:0 mcowumcwnmm chowumozuw :mwzpmn awcmcowumpwc use NN m—nwh 111 cannot be fulfilled locally. That is, high obligations to family do not counteract the effect of such aspirations on plans to migrate. Approximately 69 and 75 percent of respondents having high and low family obligations, respectively, apparently believe that their educational aspirations are unattainable locally, and consequently plan to migrate in order to achieve their aspirations. Increasing family obligations, therefore, have almost no influence on plans to migrate. 0n the other hand, the presence of family obligations has a major influence for those who plan to stay. Such obligations would seem to prevent these respondents from planning to go for further training, and therefore, accept what is available locally. Only 33.3 percent of those with no obligations are definitely planning to stay compared to over 62 percent of those with medium/high obligations. The evidence, shown in Table 22, supports the proposition that family obligations operate to retard migration intentions only if beliefs that such educational aspirations cannot be fulfilled locally. 0n the other hand, the variable has no influence on the part of re- spondents who intend to migrate and who think their aspirations can— not materialize at home. Table 23 consists of data intended to test the same hypothesis when the occupational aspiration variable is considered. As can be seen from the table, the null hypothesis must be rejected and the alternative also cannot be accepted since the overall relationships between occupational aspirations and migration plans differ only slightly from the relationship of educational aspirations and migra- tion plans just discussed. The similarity comes from the fact that 0mm. n MEEMG men. n Emmy moo. u mpg—MG mm —m um m0_ 0m mm m m 0m 2 prOH 0.00P 0.00_ 0.00F. 0.00_ 0.00F 0.00_ 0.00_ 0.00_ 0.00_ & mamgmws op v.mm m.mm m.m 0.00 3.00 0.m~ 0.03 0.00 0.00 mcmpa muwcwwwo 112 wHQLmWE Lo Amum on N.0N w.mN 0.m¢ 0.mm m.m~ “.mm 0.0— 0.00 0.03 gmcpmcz mpwcwwwucH 30pm ow ¢.m_ 3.0m 0.0m m.m 0._F m.mm 0.0 0.0 0.0m mamFa mpwcvmwo 30:4 0.3003 304 30:4 33003 304 30:. 0.34003 304 mcowpmgwam< Pacompmazuuo mcowumcvam< chowpquuuolL mcowumcwam< chowumazuuo 302-0300: 4335 _ 0:02 030: cowummez mcowu00WFno x~wsmu mo m~w>ml mcowummwrao xpwsm; we mpo>wF an m:0_a :ovumgmws new mcovucgwamm chowuquouo :wmzumn awgmcowpapw; use mm wpnwh 113 for those who have lower levels of occupational aspirations, in- creasing levels of family obligations are accompanied with an in- crease on the part of those who plan to stay. Furthermore, for those who aspire to higher levels of occupations, an increase in family obligations do lead to decreasing percentages among those who intend to migrate. But, on the other hand, such an increase in the levels of obligations do lead to an increasing percentage among those who plan to stay and who have high aspirations. The latter is the only deviation from the earlier analysis. Thus, in terms of predicting who will stay at home, the alternative hypothe- sis is supported using both variables (educational and occupational aspirations), while in terms of who will migrate, the family obliga- tions variable is not related as hypothesized. The instrumental variables, therefore, take precedence over family obligations in predicting migration plans on the part of those who intend to leave the community for a destination where aspirations can be fulfilled. Hypothesis 9 Ho: There will be no differences in the relationship between educational (and occupational) aspirations and migration plans for different levels of community evaluation. H1: The relationship between educational (and occupational) aspirations and migration plans will be smaller at low levels of community evaluation than at higher levels (i.e. those who evaluate their community negatively will intend to migrate irrespective of their aspirations). The data shown in Tables 24 and 25 clearly indicate major Own. .I. gum Omw. n 55:66 0mm. 0 Emu 114 “ 00 0F 00 P0 00 m0 _ pm_ 00 00 z F0000 0.00F 0.00F 0.000 0.00P 0.00P 0.000W 0.00, 0.000 0.00_ a 0 0 0000005 on 0.00 0.~_ 0.0 0.00 0.0, 0.0 _ 0.00 0.00 n.0p 00000 00000000 W 4 0000005 go 0000 op 0.00 0.00 0.00 0.00 0.00 0.00 _ 0.00 0.00 0.00 00:00:: 0000000000 . 0000 cu 0.0 0.00 0.00 0.0 0.00 0.P~ _ 0.0 0.0 0.00 0:000 00020000 30:. 03003 304 30031. 03003 304 4 00.; .1 03003 304 mcowymgwam< chompmuzum mcowumgwmm< Pacowumuaum mcowpmgwam< 00000000300 0-0 0.0 0-0 mcmpa “030000000 p0>04 :00: P0>00 5:000: 0 A0>00000=v ~0>04 304 00000000: comumzpm>uwuwcsesoo we m—0>04 cowumspm>0 0000:5500 we mF0>0P 00 0:000 000000005 0:0 00000000000 Pocowpmuau0 0002000 awzmco_pmp0g 0;» 0m 0F000 115 differences in the partial relationships between educational and occupational aSpirations and migration plans. The null hypothesis, hence, must be rejected. However, the alternative hypothesis cannot be accepted either since the relationships are in a direction oppo- site to the one predicted. The overall relationships between educational and occupational aspirations and migration plans are similar to those presented earlier when family obligations was used as a control variable (Tables 22, 23). For those who have lower levels of educational and occupational aspi- rations and plan to stay, percentages increase from a low (negative) to a high (positive) evaluation of the community's social provisions. (The highest value is found at medium level of community evaluation). Furthermore, comparing those whose educational and occupational aspi- rations are high with those whose aspirations are low, the percentage differences between respondents planning to stay are 29.6 and 17.8 percent, respectively, among those who have a negative attitude toward their community social provisions and 55.4 and 35.5 percent, respec- tively, for those with a positive attitude. Thus, the two instrumen- tal variables (educational and occupational aspirations) make less difference in plans to stay in the local community for respondents dissatisfied with local facilities than it does for those positively satisfied with the local facilities. Thus, for those who want to stay, a definite support for the alternative hypothesis can be found. If we restrict our observations to the category of those plan- ning to migrate, the shift from negative to positive evaluation of 116 90?. n MEEMG mmw. u Ema mwe. H web—MG 00 00 00 00 00 00 000 F0 00 0.000 0.00— 0.00— 0.00— 0.00— 0.000 0.000 0.000 0.00— 00000 0.00 0.00 0.0 0.00 0.00 0.0 0.00 0.00 0.00 0000005 00 00000 00000000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0._0 0.00 0000005 Lo 000m 00 00:00:: 0000000000 000m 00 0.00 0.00 0.00 0.0— 0.00 0.00 0.0 0.0 0.00 0:000 00000000 :00: 00000: 304 300: 030000 304 000:- 000002 304 0000000000< 000000002000 0000000000< 00:000002000 0000000000< 000000003000 0-0 010 00000 A0>00wmoav 00300 :00: 00>00 5:000: w A0>00000cv 00>00 304 00000000: 00000=F0>0 0000:5300 mo m_0>00 00000=F0>0 0000:5500 we 000>00 00 0:000 000000005 0:0 00000000000 000000002000 0002000 00cmco000000 0:0 00 0—000 117 the community social provisions does lead to decreasing percentages among those who have high aspirations. And there is, in fact, a higher overall relationship between educational aspirations and plans to migrate at the lower levels of community evaluation. In the case of the relationship between occupational aspirations and plans to migrate, it is almost the same as that of the higher levels of com- munity evaluation. It is clear, however, that the instrumental variables are more predictive of plans to migrate than the commu- nity evaluation variable. Hypothesis lO The total proportion of migration plans explained by low levels of community satisfaction and community evaluation and by low levels of family obligations will be considerably less than that explained by educational and occupational aspi- rations. Hypotheses 7, 8 and 9 asserted that, (1) low community satis- faction would lead to plans to migrate whether or not aspirations would be achievable locally; (2) negative evaluation of community social provisions also would lead to plans to migrate irrespective of other factors; and (3) high family obligations would lead to plans to remain in the community irrespective of beliefs about the ability of achieving such aspirations there. As shown earlier, these hypo- theses were not supported and they operate only on the part of those who plan to stay. Among those who plan to migrate, the instrumental variables and the beliefs about the fulfillment of these aspirations locally are more influential on decisions than any other variables. 118 The intent of hypothesis 10, however, is the confirmation of conclusions resulting from testing hypotheses 7, 8 and 9. Data relevant to this hypothesis is presented in Appendix C, along with data presented in Tables 20 to 25 revealed that: (1) educational and occupational aspirations and the beliefs about the fulfillment of these aspirations in the local community are far more predic- tive of plans to migrate than any other variable used in this study; (2) low levels of community satisfaction, negative atti- tudes toward community social provisions and non/slight family obligations were not as predictive of migration plans as expected, and did not counteract the effects of the inability of the local community to fulfill such aspirations on the part of those who plan to migrate; (3) the non-instrumental variables are related to the educational and occupational aspiration variables. Those who have high family obligations tend to aspire to lower educational and occupational levels - 60.9 and 62.0 percent, respectively, (Appendix C, Tables 3 and 8), as compared to those who have high aspirations and believe that they can achieve these aspirations locally, 25.6 percent in the case of educational aspirations and 23.2 in the case of occupational aspirations. Those who are rela- tively dissatisfied with their community and have negative atti- tudes toward the facilities provided locally tend to be respondents who believe that they unquestionably cannot fulfill their aspira- tions locally. In sum, the independent variables are intercorre- lated with each other, as the data presented in Appendix C reveals. Certain conclusions can be reached at this point. First, these intercorrelations provide some indications that the variables, 119 community satisfaction and community social provisions,are not highly related, and the variation in their scores apparently re- sults from the evaluation by respondents of the adequacy of the community's educational and occupational opportunities. If the re- spondents perceive that their educational and occupational aspira- tions can be fulfilled locally, they will tend to be satisfied with the community and tend to like it better. If they believe that their aspirations cannot be achieved locally, they will tend to dislike their community. Second, although educational and occupa- tional aspirations are highly correlated with each other (Gamma = .634), occupational aspirations unlike educational aspirations are highly related with the other variables. Also the distribution of cases among the values of the variable is such that there are too many cases in the high and intermediate occupational category and very few in the low category. For these reasons, this variable must be excluded from an analogue of multiple regression model. The explanation of variance, however, was increased slightly when this variable is dropped from the model (50.4 percent of the variance was explained as compared to only 50.1 when all the variables are re- gressed). Hypothesis ll HO: Differences in the levels of educational aspiration will be unrelated to levels of occupational aspirations. 1: Educational aspirations will be directly related to occu- pational aspirations. 120 Hypothesis 12 Ho: The strength of the relationship between educational aspiration and migration plans will not vary by levels of occupational aspiration. H1: The higher the level of occupational aspiration the greater the relationship between educational aspira- tion and migration plans. It is certain at this point that educational and occupational aspirations are more predictive of migration plans than any of the other variables. The intent of hypotheses 11 and 12, however, is to ascertain whether educational aspirations play a greater role in migration planning at higher levels of occupational aspiration. In other words, of the two independent variables, which is more predictive of migration plans, given the fact that the type and amount of educational training aspired to by respondents is de- termined by the kind of occupation aspired to? This proposition would seem especially true in Libya where the educational system is tied to the occupational structure; that is to say, if a student aspires to an engineering career, then he has to go to a college of engineering. In this sense, however, it should be remembered that at first we are dealing with correlations between two independent variables and inferring from correlation to cause. Second, in hypothesis 12, we are concerned with the "cause" of migration in a more direct sense. The data pertaining to hypothesis 11 are presented in Table 26. As revealed by the Gamma statistics (.634), there is a clear 121 Table 26 The relationship between educational and occupational aspirations Levels of Levels of Occupational Aspirations Educational Aspirations Low Medium High Low 59.2 13.0 8.9 Medium 29.6 16.9 20.3 High 11.2 70.1 70.8 % 100.0 100.0 100.0 ma" N 98 77 315 Gamma = .634 positive relationship between occupational and educational aspira- tions. The null hypothesis, therefore, must be rejected and the alter- native is supported. The higher the level of occupational aspirations the greater the type and amount of education aspired to and the greater the tendency that such higher aspirations cannot be fulfilled locally. Over 70 percent of those who indicated that they aspire to higher professional occupations such as engineer, physician and the like, intend to go for further education, college or beyond. For those who aspire to occupations such as primary school teacher, govern- ment official, farming and the like, 59.2 percent do not intend to go for further education. They more likely terminate their educational career or engage in teacher training which is provided in the local community. 122 Given this positive correlation between these two independent variables and the fact supported earlier that educational and occu- pational aspirations are positively related to migration plans, the question then is which of these two independent variables is more predictive of migration plans? How are the beliefs about the fulfillment of such aSpirations related to migration? Hypothesis 12, as stated earlier, deals with these two questions. Table 27 contains the data bearing on hypothesis 12. Since the levels of occupational and educational aspirations are so highly correlated as shown above, the former will be used here as the con- trol variable. The null hypothesis must clearly be rejected, since there are major differences among occupational levels in the rela- tionship between educational aspirations and migration plans. How- ever, the alternative hypothesis was not confirmed because the dif- ferences are in a direction opposite to that predicted. Educational aspiration is in fact more predictive of migration plans (for those who intend to migrate) than any value of the control variable. Look- ing at the table from the point of view of those who plan to stay, the alternative hypothesis receives some support. Those who have no intention of going for further education and who aspire to lower occupational levels plan to remain in much greater proportions than do respondents from any other level of occupational aspiration. The respective figures are 63.8 percent for the low level of occupational aspirations, 60.0 percent for the medium, and 39.3 for the high level professional occupations. The relatively greater proportions of those having low levels of educational and occupational aspirations 123 wow. u gmw hmw. H Mei—Emu Now. H Ema 000 00 00 00 0— 00 00 00 00 0.00— 0.00— 0.00 4 0.000 0.00— 0.00— 0.00— 0.00— 0.000 00000 0000005 00 0:000 000:0000 0000005 Lo 000m 00 L030033 0003000030 4 m 000m 00 0.0 0.00 0.00 0.0 0.00 0.00 . 0.0 0.00 0.00 0:000 000:0000 3003 33000: 304 300: 03000: 304 3003 . 3:000: 304 0:00000000< 00:00000000 0:000000am< 00:00000300 , 0:00000000< 00:00000300 0:000 00>00 :00: . 00304 53000:. _ 00>00 300 :00000002 0:0000L0nm< 00:000003000 mo mp0>00 0:000000000 00:000003000 0o 000300 00 0:000 :o0000002 0:0 0:000000000 00:00000300 :003000 00:0:o000—0L 0:0 00 0—000 124 plan to stay because of their definite belief that their occupational aspirations can be fulfilled locally and that the educational facili- ties are probably sufficient to meet their aspirations. On the other hand, there are minor differences among those with high educational aspirations who plan to migrate at all levels of occupational aspira- tions. They plan to migrate in approximately equal proportions for all occupational levels-72.7, 72.2, 71.7 percent for high aspira- tion respondents at lower, medium, and high levels of occupational aspirations, respectively. However, the results of the analysis of "conditional migration" above revealed that: (l) the educational aspirations variable is more predictive of migration plans than the occupational one; (2) if occu- pational and educational aspirations are achievable locally, the lower occupational and educational aspirers are much more likely than others to remain in the home community; and (3) far greater proportions of the higher educational aspirers than of others would not remain in the home community under any conditions. Structural Factgrs Influencingithe Independent Variables l. The Cultural Orientation of Respondents' Families and Factors Influencing Migration Plans Hypothesis 13 HO: Differences in (1) educational and occupational aspira- tions, (2) community satisfaction, (3) community evalua- tion and (4) migration plans will be unrelated to the cultural orientation of respondents' families. 125 H]: Respondents from traditional families will have (1) lower levels of educational and occupational aspirations, (2) lower levels of community satisfaction, (3) positive attitude toward community social provisions and (4) lower tendencies to migrate than will respondents from modern families. The results bearing on this hypothesis are presented in Tables 28 to 32. The traditional-modern continuum scale is trichotomized, and those respondents who score low on the scale were then classified as belonging to traditional families, whereas those who scored high on the scale were considered modern. As Tables 28 and 29 indicate, the null hypothesis is rejected in the case of educational and occupational aspirations, as there are differences between those from traditional and modern backgrounds on these two variables. The alternative hypothesis is clearly confirmed with respect to these two variables, since a larger proportion of those from traditional families aspire to lower educational and occu- pational levels. For the former variable, 38.3 percent of those from traditional families aspire to lower levels of education or have no intention of going for further education beyond high school, compared to only 11.6 percent of those from modern families. Conversely, over 66 percent of those from modern families aspire to higher education beyond high school, while 34.8 percent of those from traditional background aspire to the same level. The same pattern holds for those two different cultural orientation groups in regard to occupa- tional aspiration. Here almost the same proportion from traditional 126 Table 28 The relationship between the cultural orientation of respondents' families and educational aspiration Levels of Cultural Orientation Educational Aspiration Traditional Medium Modern Low 38.3 17.0 11.6 Medium 27.0 20.6 21.7 High 34.8 62.4 66.7 % 100.0 100.0 100.0 T°ta‘ N 115 141 198 Gamma = -.372 Table 29 The relationship between the cultural orientation of respondents' families and occupational aspiration Levels of Cultural Orientation Occupational Aspiration Traditional Medium Modern Low 48.7 16.3 8.2 Medhun 16.8 12.8 17.9 High 34.5 70.9 73.8 % 100.0 100.0 100.0 T°ta' N 113 141 195 Gamma = -.480 families who aspired to a high level of education (34.8%) aspire to professional occupations (34.5%). This figure may be compared to 127 73.8 percent from modern families. The pattern is reversed, however, in the case of low levels of occupation such as clerk, primary school teacher and the like. While only 8.2 percent of those from modern families aspire to these jobs, the percentage is almost six times as great (48.7%) for those from traditional families. In regard to community satisfaction, a consistent difference between "traditionals" and "moderns" prevails. However, the dif- ferences between these two groups are not as great as in the case of educational and occupational aspirations. As can be seen from Table 30, a larger proportion of respondents from modern families have low community satisfaction as compared to those from traditional families - 51.3 percent for the former and 31.4 percent for the lat- ter. Only a slightly higher proportion of traditionals, however, (24.8%) have higher satisfaction than moderns (18.0%). The null hypothesis must be rejected since differences between these two groups exist and the alternative is supported since these differ- ences are in the direction predicted. In regard to community evaluation, the same trend as that shown in the case of community satisfaction holds true. Here again the null hypothesis is rejected and the alternative is supported. A slightly larger proportion of the moderns than the traditionals have a negative attitude toward their community's social provisions - 60.9 and 47.4 percent, respectively. Over 21 percent of respondents from traditional families compared to 15.1 percent of those from modern families, show a positive attitude toward the community social provisions (See Table 31). '128 Table 30 The relationship between the cultural orientation of respondents' families and community satisfaction Levels of Cultural Orientation Community Satisfaction Traditional Medium Modern Low 31.4 38.8 51.3 (0-3) Med. 43.8 33.6 30.7 (4-6) High 24.8 27.6 18.0 (7-9) % 100.0 100.0 100.0 T°ta' N 105 134 189 Gama = -.211 Table 31 The relationship between the cultural orientation of respondents' families and community evaluation Levels of Cultural Orientation Community . Evaluation Traditional Medium Modern Negative 47.4 61.2 60.9 (0-3) Med. 30.7 18.7 24.0 (4-6) Positive 21.9 20.1 15.1 (7-9) % 100.0 100.0 100.0 T°t31 N 114 139 192 Gama = -.201 129 Finally, with respect to the question as to who will decide to migrate from these two groups, Table 32 indicates that a greater proportion of respondents from modern families intend to leave the community as compared to their counterparts from traditional families. The percentage of those who intend to migrate increases as one moves from the traditional category to the modern one. For those who are definitely intending to remain in the local community, the proportion of those respondents from a traditional background is greater than those from a modern background. Overall then, consistent differences between the two groups exist in regard to the four variables just discussed and the null hypothesis, therefore, is rejected. The alternative, on the other hand, is confirmed. Traditionals have lower educational and occupa- tional aspirations, relatively lower community satisfaction, and relatively positive attitude toward the community social provisions. As an apparent consequence, fewer of the traditionals plan to migrate. Table 32 The relationship between the cultural orientation of the respondents' families and migration plans Migration Cultural Orientation Plans Traditional ‘MedTUm Modern Definite plans 34.8 19.0 8.0 to stay Indefinite whether 39.1 29.6 29.6 to stay or migrate Definite plans 26.1 51.4 62.3 to migrate % 100.0 100.0 100.0 T°ta' N 115 142 199 Gamma = -.428 130 2. Social Status of Respondents' Families and Factors Influencinngigration Plans Hypothesis l4 HO: Differences in (1) educational and occupational aspira- tions and (2) migration plans will be unrelated to the social status of respondents' families. H1: Respondents from families whose father holds a manual (skilled and unskilled) or a service occupation will tend to have (1) lower levels of educational and occu- pational aspiration, and (2) lower tendencies to migrate than respondents from families whose father hold higher or lower professional jobs. Tables 33 to 35 contain data bearing on this hypothesis. The results obtained with respect to the effects of family social status on the educational aspirations of the respondents (Table 33) indicate that there are differences in the educational aspiration levels which correspond to differences in fathers' occupational status. Further, these differences are in the direction expected. The null hypothesis, therefore, must be rejected and the alternative is clearly supported. The proportion of respondents who have lower levels of educational aspiration is greater for those whose fathers hold manual and unskilled jobs than for any other category. The proportion decreases as one moves toward higher occupational categories, or from 24.7 percent for manual and unskilled to 6.8 percent for higher and lower professional categories. For those who aspire to higher levels of education, the proportions increase from 52.5 percent for those whose fathers hold manual and 130 2. Social Status of Respondents' Families and Factors InfluendingTMigration Plans Hypothesis l4 Ho: Differences in (1) educational and occupational aspira- tions and (2) migration plans will be unrelated to the social status of respondents' families. H]: Respondents from families whose father holds a manual (skilled and unskilled) or a service occupation will tend to have (1) lower levels of educational and occu- pational aspiration, and (2) lower tendencies to migrate than respondents from families whose father hold higher or lower professional jobs. Tables 33 to 35 contain data bearing on this hypothesis. The results obtained with respect to the effects of family social status on the educational aspirations of the respondents (Table 33) indicate that there are differences in the educational aspiration levels which correspond to differences in fathers' occupational status. Further, these differences are in the direction expected. The null hypothesis, therefore, must be rejected and the alternative is clearly supported. The proportion of respondents who have lower levels of educational aspiration is greater for those whose fathers hold manual and unskilled jobs than for any other category. The proportion decreases as one moves toward higher occupational categories, or from 24.7 percent for manual and unskilled to 6.8 percent for higher and lower professional categories. For those who aspire to higher levels of education, the proportions increase from 52.5 percent for those whose fathers hold manual and 131 Table 33 The relationships between the social status of the respondents' families and respondents' levels of educational aspirations Respondent's Father's Occupation Level of Manual Semi- Intermediate Higher and Educational and Un- Skilled Non- Lower Aspirations skilled and Skilled Manual Prof. Low 24.7 22.1 15.3 6.8 Medium 22.8 23.0 22.7 13.6 High 52.5 54.9 62.0 79.7 % 100.0 100.0 100.0 100.0 Tm" N 158 113 150 59 Gamma = .230 unskilled to 79.7 percent for those whose fathers hold professional jobs. As Table 34 reveals, the same trend recurs in the case of occupational aspirations. That is, 26.6 percent of those who aspire to lower levels of occupational aspirations come from households whose heads hold manual jobs as compared to only 7.0 percent for those from the professional group. Conversely, 75.4 percent of those who aspire to high occupational levels had fathers with high occupational status. This compares with only 57.1 percent who aspire to high occupational levels whose fathers have low occupa- tional status. The results concerning migration plans are presented in Table 35. In this case, also, the null hypothesis has been rejected and the alternative hypothesis is confirmed. There is a higher proportion 132 Tab1e 34 The relationship between the social status of the respondents' families and respondents' levels of occupational aspiration Respondent's Father's Occupation Level of Manual Semi - Intermediate Higher and Occupational and Un- Skilled Non Lower Aspiration skilled and Skilled Manual Prof. Low 26.6 25.2 15.7 7.0 Medium 16.2 17.1 11.8 17.5 High 57.1 57.7 72.5 75.4 % 100.0 100.0 100.0 100.0 T°t31 N 154 111 153 57 Gamma = .240 from the manual and unskilled category who plan to remain in the home community than from any other group. For those who are plan- ning to migrate, the proportion of those from the professional group is much greater than those from any other group. Overall, then, consistent differences occur between the four groups in terms of their educational and occupational aspirations and their migration plans. And these differences are in the direc- tion predicted in each case. Hence, those whose fathers hold manual or unskilled occupations have lower levels of educational and occu- pational aspirations than have those whose fathers hold professional jobs. As an apparent consequence, relatively fewer of them plan to migrate. 133 Table 35 The relationship between the social status of the respondents' families and respondents' migration plans Father's Occupation Migration Manual Semi- Intermediate' Higher Plans and Un- Skilled Non and Lower Skilled and Skilled Manual Prof. Definite intention 21.5 21.9 9.8 8.5 to stay Indefinite whether 37.3 38.6 30.1 20.3 to stay or leave Definite intention 41.1 39.5 60.1 71.2 to migrate % 100.0 100 0 100.0 100 o T0ta' N 158 114 153 59 Gamma = .292 3. Respondents' Birth Order and Factors Influencing Migration Plans Hypothesis 15 Ho: Differences in (1) educational and occupational aspira- tions and (2) migration plans will be unrelated to the position of the respondent in the family. H1: Respondents holding higher birth order position in the family will tend to have (1) lower educational aspira- tions, (2) lower occupational aspirations and (3) lower tendencies to migrate, than respondents holding lower position (third oldest or more). The results pertinent to this hypothesis are presented in Tables 36 to 38. The null hypothesis is rejected in the case of 134 educational and occupational aspirations, since there are differences between the respondents' position on these two variables. The alter- native hypothesis is clearly rejected since these differences are in the direction opposite to that predicted. That is, the proportions of those who aspire to lower educational and occupational levels are relatively greater for those who have lower birth order posi- tions in the family (third or more). Only 14.5 and 16.9 percent of those who are the oldest in the family have lower educational and occupational aspirations, respectively. In contrast, 21.3 and 24.0 percent of the youngest aspire to the same low levels. Even if we concentrate our observations on those who have higher levels of educational and occupational aspirations, the alternative hypo- thesis does not receive any support in that the same trend just stated holds true for this group as well. There are relatively greater proportions of respondents who intend to go for higher education and who aspire to professional jobs among those who are oldest rather than the youngest in their families. In regard to migration plans, however, the null hypothesis is again rejected but the alternative received some support. Over 51 percent of the respondents having low birth order positions are planning to migrate, as compared to 41.2 percent of those who are the oldest in their families. Among those who are planning to remain in the home community, the differences between the lower and higher birth order groups, however, are insignificant, their respective proportions being 17.6 percent and 17.3 percent. 135 Table 36 The relationship between the respondents' birth order and their educational aspirations Respondents' Birth Order Levels of First Educational Third position Second Position Aspiration or more (Low) Position (High) Low 21.3 18.7 14.5 Medium 21.3 19.6 25.3 High 57.4 61.7 60.2 % 100.0 100.0 100.0 T°'a' N 305 107 83 Gamma = -.075 Table 37 The relationship between the respondents' birth order and their occupational aspiration Respondents' Birth Order Dgzfihztignal Third position Seeond pglgigon Aspiration or more (Low) Pos1t1on (H190) Low 24.0 11.2 15,9 Medium 13.7 18.7 16.9 High 52.3 70.1 55.3 Total 3 $88.0 139.0 lgg.0 Gamma = -.l3O 136 Overall, the null hypothesis must be rejected and the alternative also cannot be accepted. This unexpected finding may be due to the greater proportions of respondents who fall in the third and younger category as compared to the other two. The third and younger group accounted for 62 percent of all respondents whereas the other two groups accounted only for 38 percent of all respondents. Table 38 The relationship between the respondents' birth order and migration plans Respondents' Birth Order Migration Third Position Second First Position Plans or More (Low) Position (High) Definite plans 17.3 16.8 17.6 to stay Indefinite whether 31.3 30.8 41.2 to stay or migrate Definite plans 51.5 52.3 41.2 to migrate % 100.0 100.0 100.0 '0'“ N 307 107 85 Gamma = .068 This hypothesis which considered the relationship between birth order of respondent and plans to migrate concludes the chap- ter concerned with major findings. The findings will be summarized and discussed in the next chapter. CHAPTER V §gflMARY 0F FINDINGS AND CONCLUSIONS Migration research has usually been in the hands of demogra- “4?...” k phers whose major interests have been the analy§j§_gfflmjgration ( streams and differential migration patterns. While such studies are important, they yield only fractional knowledge about the pro- cess of migration. Demographers fail to trace the migration process both at the individual and the social- -psychological levels, specifi- .-—.-.-‘ _-_.._._______.__, -_- cally from the attitudinal point of view. Consequently, a wealth of ‘1’ material dealing with demographic and ecological explanations of migration are accumulated, but virtually nothing is available on the attitudes associated with migration. The concern of this study, lomghl— 41‘ Q¥leufiilfl€ therefore, is with social- -psychological fact_ors thought to explain x V“ ‘ Vb; h Ofl PCLHtVV: 5* plans to migrate among rural youth in Libya. o5 ~rne' VOL-0+ The theoretical framework set forth in Chapter Two was utilized, from which a set of hypotheses was derived that was expected to help explain migration decision-making among young people. In Chapter Four the results of the empirical study of the relationship between certain attitudinal and aspiration variables and migration plans were presented. Also explored was the manner in which those independent attitudinal variables were structured by the social context in which the respondent lives, and in turn affect migration plans. In this 137 138 chapter, the results will be summarized and the impact of the results on the theoretical framework will be examined. Some limitations of the study will also be pointed out. Summary of Results In tracing the process of migration from a so;ial:p§ychological point of view, the study demonstrated that the five independent vari- ables were related to migration plans among high school students. {EQThe level of educatéggal aspiration as proposed was directly related to migration plans. A high proportion of respondents who indicated that they were going to pursue further education beyond high school épfij; N.‘ .__._—u_ .- £_‘ . K where educational facilities are available The data also revealed \l N #4 tend to leave their community after graduation for a destination éfl5§UP95§U}3 \. \ __. that occupational aspirations were directly related to migration plans,” Those who aspire to high professional ccu ations such as ',{Ufidfi%g L \p@P\}\9y&* _engjneer, physician, and the like, plan to migrate in greater pro- \JON/ ~fi-~—~——.__~z___ f__fiflfl‘fl___‘_ #flflfifi . portions than those who aspire to lower occupations such as govern- CE) ment official, primary_school teacher, and the like. The strength ’ of the relationship between this variable and migration plans as ~§xt measured by the Gamma statistic was not as great as that between educational aspirations and migration plans. The relative predictive ability of these two independent var- iables on migration plans was examined. It was proposed that since the educational system in Libya is tied to the occupational struc- ture, then the relationship between educational aspirations and migration plans will be greater at the higher levels of occupational aspiration. Although these two independent variables are highly I39 correlated, educational aspirations were more predictive of migra— tion plans than any value of occupational aspirations. In contrast, occupational aspirations were more predictive of those who plan to stay in the local community. That is to say, those who aspire to ...—~— low occupations believe that the educational facilities in th_e_ local community are sufficient to f“]fj]] their occupal 1 [EEigfli—flnd; therefore, plan not to leave the_communityr——wflva- Community satisfaction as an attitudinal variable refers to the evaluation by respondents of how satisfactory local social re- lations are andeas found to be negatively related to migration plans. If respondents have a low regard for their community, they plan to migrate in much greater proportions than those who have a high regard for their community. While the strength of the rela- tionship between occupational aspiration and migration plans ranked third, the gammas for the relationships between occupational aspira- tion and migration plans and between community satisfaction and migra- tion plans were about the same. Furthermore, even at lower levels of community satisfaction, such educational and occupational aspirations play a major role in migration plans. In fact, when community satis- faction is used as a control variable, educational and occupational aspirations have a higher correlation with migration plans (those who intend to leave) at low compared to higher levels of community satis- faction. However, among those who are definitely planning to remain in the community, educational and occupational aspirations have less influence at lower levels than any other value of the control vari- able. Whether educational and occupational aspirations can or can- not be fulfilled locally makes less difference in plans to stay at 140 home, if respondents have lower regard for community than for any other value of community satisfaction. Family obligations was the fourth variable which has a strong negative relationship with migration plans. 0f the five independent variables, it was the fourth most predictive of migration plans among high school seniors. This variable refers to the work role or the help expected by the family from its sons. If respondents perceive that their families have work or help expectations for them which can only be fulfilled by staying in the local community, their own plans to migrate will be retarded. In other words, respondents hav- ing high or medium work or help obligations will plan to remain in the home community to carry out such obligations to a much greater extent than those who have no or slight work obligations within the family. The latter group, on the other hand, will plan to migrate in greater proportions than the former. The presence of such obli- gations was thought to lead to plans to remain in the local community, irrespective of the level of educational and occupational aspirations. It was proposed that the relationship between such aspirations and migration plans on the part of those who intend to carry out an act of migration will be smaller for respondents having medium and high family obligations than their counterparts who have slight or no obligations. As the data revealed, however, this did not prove to be true. If respondents believe that their aspirations cannot be fulfilled locally, they will plan to migrate irrespective of the level of family obligations. High levels of obligation, therefore, did not counteract the influence of educational and occupational aspirations on plans to leave the local community. On the other l4l hand, those who have low levels of aspirations and believe that such aspirations can be achieved locally percentages increase from no obligation to medium/high obligations. That is to say, when educa- tional and occupational aspirations can be satisfied locally, a high level of obligation will lead to plans to remain in the home community in much greater proportions than is true of others. It is worth not- ing, however, that the occupational aspiration variable differs from the educational variable in the sense that the percentage of those who aspire to professional jobs increases as one moves from lower levels of obligation to higher; in contrast, in the case of higher educational aspirations, proportions decrease. An explanation that one might give for the former is that this group will expect to migrate at a later stage when such obligations are fulfilled or when someone else will carry them out. The last and the least predictive variable related to plans to migrate was the attitude toward the community's social provisions. Data presented in Chapter Four showed a negative correlation between this variable and migration plans. Those who evaluated negatively their community's social provisions, such as educational facilities, roads, shopping centers, etc. will plan to migrate in much greater proportions than those who indicated that they were satisfied with such facilities. Like the other non-instrumental variables (commu- nity satisfaction and family obligation), educational and occupa— tional aspirations predominate in the migration decisions of rural youth, when community evaluation is used as a control variable. It was thought that the relationship between educational and occupa- tional aspirations would be weaker at low levels of community 142 evaluation than at higher levels. In other words, those who evaluate their community's social provisions negatively will plan to migrate irrespective of their aspirations. However, this did not prove to be true. At lower levels of community evaluation, educational and occupational aspirations played a major role in migration plans on the part of those who intend to leave the local community. The pat- tern, thus, is similar to that demonstrated above between educational and occupational aspirations and migration plans where family obliga— tion was used as a control variable. The precedence of the respondents' aspirations over their atti- tude toward their community's social provisions in explaining migra- tion plans was further confirmed by answers elicited from those who are definitely planning to migrate and those who were not sure whether to leave or stay (73.4% of all respondents). Of these, 26.3 percent said they would stay in the home community if their educational aspi- rations could be provided there, compared to 12.7 percent who indi- cated that they would remain provided that their occupational aspi- ration could be fulfilled there. Those who said they would remain in the home community if both educational and occupational aspira- tions could be achievable there amounted to 51.8 percent. The re- maining 9.2 percent indicated that they would stay only if the com- munity's social provisions were improved. Structural Factors Influencing the Dependent and Independent variables Cultural orientation of the respondents' family, socio-economic status as measured by the father's occupation and the birth order of T43 the respondent were the major structural variables thought to influ- ence the individual's aspirations and attitudes, and in turn would influence migration plans. The cultural orientation of the respondents' family was meas- ured by means of a ten item scale developed as a part of the analy- sis. Those families scoring low on the scale were then classified as being "traditional," whereas those scoring high on the scale were considered "modern." The cultural background of respondents proved to have an influence in shaping the respondent's attitudes and plans with respect to his future life style. Respondents from traditional families had significantly lower levels of occupational aspirations. They also aspired to lower occupations compared with their counter- parts from modern families. Such occupations such as clerk, primary school teacher, and farming do not necessitate these respondents to go for further education since they are provided in the local commu- nity. Thus, respondents with this background tend not to have higher levels of educational aspirations. Respondents from modern families, on the other hand, had significantly higher levels of occupational aspiration. They aspire to professional occupations such as physician, engineer, lawyer and the like and also tend to want to go for further education beyond high school. In regard to their satisfaction with the relationships in the community, respondents from traditional families had higher levels of community satisfaction than did others. In contrast, higher proportions of those from modern families were dissatisfied with their community relationships. The same pattern, however, holds for community evaluation, where traditionals tended to evaluate the facilities provided in the community more positively 144 than did others. As a result of differences between these two groups in their educational and occupational aspirations, and in their attitude toward their community's relationships and social provisions, those from modern families have greater tendencies to migrate than others. Hence, those from traditional families tend to remain in the local community in a greater proportion than others. This, however, is understandable since those who aspire to low occupations are those who are not going for further education, either by terminating their schooling career or by attending the teaching institute pro- vided in the area which would prepare them to be primary and pre- paratory school teachers. Those from modern families, on the other hand, who aspire to higher levels of occupations tend to go for further education in order to reach these occupations, and therefore have to leave their community to pursue these goals. Socio-economic status, as measured by father's occupation, was the second structural variable which was thought to be directly related to rural adolescents' educational and occupational aspira- tions, and therefore their migration plans. Our data seemed to support this assumption in that a greater proportion of those who come from families whose fathers hold higher or lower professional jobs aspire to higher levels of educational and occupational aspi- ration than any other subgroup. As an apparent consequence, they have greater tendency to migrate than others. In contrast, those who aspire to lower educational and occupational aspiration levels are those whose head of household has a manual occupation. These 145 respondents, however, tend to stay in the local community in higher proportions than others. The third structural factor was the respondents' birth order. The research results revealed that this variable did not play a major role in shaping who goes for higher education or who leaves or stays in the home community. Although there were differences between respondents with respect to their aspirations and migration plans, these differences were not significant and in fact were in the direction opposite to that predicted. A greater proportion of respondents who are the eldest in their families aspire to higher levels of educational and occupational aspirations than others, but they plan to migrate in smaller proportions than others. This in- consistent finding, however, is attributed to the very high propor- tion of respondents whose position in the family is the third or younger. Almost 62 percent of all respondents were third or younger, compared to only l7 percent who were the eldest in their family. Conclusions In the previous section a summary of the results of this study was presented. These results indicate that the theoretical frame- work used allowed one to predict migration plans among adolescents in a rural area in Libya. Furthermore, the theoretical model which guided this research has generally been validated in a very differ- ent culture from the one in which it had been tested previously. An overriding assumption made in this research, however, was that migration planning and intent to migrate are voluntary in nature. That is, the decision is made by the individual, that he 146 is not migrating with the family in accordance with a decision made by parents. It is also assumed that parents and other family mem- bers are remaining in the home community. With respect to the var- iables influencing migration planning, one of the basic assumptions guiding the study was that adolescents' instrumental aspirations-- occupational and educational aspirations-~would play a major role in the decision to migrate among rural adolescents in Libya, given the fact that the country is going through a transitional period. That is, social, economic and political changes are taking place which resulted in the need for professional, skilled and highly trained personnel. This in turn inspired many young people to leave their community and to seek higher education and consequently higher social mobility. From a comparative point of view, it was clearly demonstrated in this research that instrumental aspirations, in particular educa- tional and occupational aspirations, are more predictive of migra- tion plans among rural adolescents in Libya than any other variables examined. This finding coincides with the great majority of American studies as to the motivations of adolescents and rural migrants which show the importance of instrumental aspirations in determining migra- tion plans, despite the fact that contrary hypotheses were often pro- posed. The salience of instrumental aspirations in predicting migration is understandable in the case of Libya which is going through a transition from a traditional to a modernized society. In regard to the relationship between family obligations and migra- tion plans, the findings from this study differ markedly from the 147 majority of American studies. Whereas family obligations are impor- tant in predicting migration plans among rural Libyan youth, they are of relatively minor significance in determining migration in modern American society. In regard to the non-instrumental variable, on the other hand, it was hypothesized that community satisfaction, defined as "attachments to particular people, and to style of relationships in the home community" (RPC, NC-l8, 1957:2), when used as a control variable, would play only a minor role in migration planning. In Operationalizing the community satisfaction variable, it was assumed that variations in the level of satisfaction among adolescents could result from two sources. It could result, as Williams (196l) sug- gested, from the criteria utilized to evaluate the level of satisfac- toriness of community relationships. If these criteria or values were of a "modern" order, then the evaluation of the local community, which is largely traditional in structure, would be less favorable than would be the case if traditional values applied. The former type of evaluation could lead to an estrangement from the traditional social structure and culture of the rural community on the part of rural adolescents. Variations in the level of satisfaction with the local community could also result from the process in which the adolescents compare their own situation with that of significant others, leading to either satisfaction or dissatisfaction with the local community. Feelings of dissatisfaction would in turn lead to estrangement from particular people and relationships in the home community. The effects of both are assumed to be effectively indexed 148 by the community satisfaction scale. These two sources of community satisfaction were assumed not to be widespread in the rural areas of Libya, and were assumed to play only a minor role in migration planning. Social mobility motives, however, were assumed to take precedence over the community satisfac- faction variable. The results of this research support this point of view. When community satisfaction was used as a control variable, 5 the relationship between educational and occupational aspirations and migration plans is stronger at low levels of community satisfaction than at any other values. This was also true with respect to the other two non-instrumental variables. These findings were further supported in that 73 percent (369) of the respondents who indicated they are definitely planning to migrate or who are seriously con- sidering leaving the home community, 51.8 percent out of these respon- dents indicated they would remain in the home community if their educational and occupational aspirations could be fulfilled locally. On the other hand, 26.3 percent would only stay if their educational aspirations were provided locally. And another 9.2 percent said that they would remain there only if the home community's social provisions were brought up to their expectations. This latter reason cannot be considered as a direct proof of cultural or structural estrangement with the community, but rather of the intrusion of other instrumental aspirations, such as better schools, libraries, roads, and other facilities. At the same time, the relative backwardness of these social provisions may be a direct consequence of how the community is structured. 149 As the literature discussed in Chapter Three reveals, such dis- satisfaction with the community relationships is more effective in causing migration in the industrial societies such as the United States and other Western countries. However, this pattern is thought to be unlikely in the rural communities of Libya where traditional rural values are widespread. However, instrumental aspirations were proven in this study to take precedence in explaining migration plans among adolescents. Thus, if the rural values that presently support the rural social structure were to change or vanish (due to the process of modernization and development aimed at every single community), these conclusions may have to be reconsidered. Migration then would take place even if instrumental aspirations could be satisfied locally. A comparative study of a number of rural communities varying along continua of the level of development and modernization and educa- tional and occupational opportunity structure, would lead to very fruitful findings about the dimensions on which migrants are selected, and should be considered in future research. The usefulness of structural variables was demonstrated in this study. The adolescents' aspirations and attitudes were proven to be structured by the cultural orientation and socio-economic status of their families. The cultural values of rural families tend to lead to different evaluations of such aSpirations. It was evident from this study that those respondents from families of traditional background have lower levels of educational and occupational aspiration, higher levels of community satisfaction, and tend to evaluate the community social provisions more positively than their peers from families of 150 modern background. And as a result of these differences, a higher pro- portion of the former group plan to remain in the home community. These findings tended to assume the same pattern with respect to socio-economic status. The appropriate interpretation that might be suggested for these findings is that traditional families, due to their value system, tended to have a low value for higher education which could be comple- mented by purely economic factors such as the need for immediate income from the adolescent to support the family would lead to either termina- tion of schooling and engaging in an occupation which is provided locally and, therefore, remain in the home community. However, the reader should be cautioned that there is no direct evidence for this interpretation from this research, but rather an indirect support is found where a greater proportion of those from traditional families who plan to remain in the home community indicated that they aspire to occupations that are provided locally, as compared to those from modern families who plan to migrate. For those from modern and high socio- economic status who are planning to stay, one could speculate that a complex of social mobility aspirations and attitudes intervened other than educational and occupational aspiration. Future research, however, should incorporate directly the views and evaluation of the adolescents' families on such aspiration and migration plans. The role of the birth order of the respondent in educational and occupational aspirations and migration plans was not anticipated. Those from higher and lower birth orders tend to have almost equal aspirations. In other words, there was no significant differences among the two groups in their aspiration and migration plans. Further, 151 this variable did not play a major role in selecting who would go for higher education and, of course, who would leave the community. In conclusion, the theoretical model which guided this research study has generally been validated, although some modifications are necessary at various points. Educational and occupational aspirations are the major variables involved in the migration planning of rural adolescents. Due to the rapid social changes through which Libya is passing, and the need for professional, well trained and skilled per- sonnel, the level of these aspirations has been rising continuously over the past twenty years, and the pace has been accelerating since the early seventies. On the other hand, rural economic structures have remained relatively static and are not keeping up with these aspirations. The situation in which there are discrepancies between aspirations and opportunities in the rural communities has resulted in increasing rates of migration. Some aspirations other than educational and occupational aspi- rations have also been shown to be important and should be considered in future research. Those relating to the community's social pro- visions have proven to be important. Community social provisions, however, are important only to those with high levels of educational and occupational aspirations. And since the educational and occu- pational aspirations of these particular respondents cannot realis- tically be fulfilled within small rural communities or rural trade centers, these aspirations alone would predict migration. 152 Limitations of the Study Although the way the study was designed generally proved to be relatively satisfactory in terms of providing some explanation to questions concerning migration plans among rural adolescents, there were, however, some limitations in this study which should be noted here so that future research may be strengthened. One of these limitations is the fact that this study is limited to one area of Libya which consists of one center (Gharian town) and its surrounding communities. A comparative study of a number of rural communities that vary widely in social and economic attributes, such as the structure of the educational and occupational opportunities and the level of development and modernization, would more adequately test the basic assumption of the study that such variation would lead to variation in the type of migrants leaving these communities. The effect of variations in the structure of adolescents' aspirations would also be observed in such a study. Still another limitation concerned the scale used to measure the attitudes toward community's social provisions. The scale was constructed in too summary a manner, insufficient attention having been given to the universe of relevant items, and to the selection of items from this universe. It was assumed that "community's social provisions" were viewed as a single dimension by respondents. However, the items included in the scale varied very widely in refer- ence. Some of the items referred to recreational facilities, others referred to the schools, roads and shopping facilities. It is highly likely that this is a multidimensional construct, however. Any 153 future research, therefore, should attempt to separate these dimensions from one another. This could be done by devising a number of scales for each area as identified by the researcher. Some of the same problems arise for community satisfaction. The scale contains two distinct ideas. The first six items refer to value or cultural differences among adolescents, which leads to differences in evaluations of satisfactoriness of the local community relationships. The remaining five items refer to feelings of rela- tive deprivation in these relationships. As a result of this dis- tinction, the relationship between the conceptual definition of the variable and its operationalization is rather thin. It is, there- fore, appropriate in future research to treat these two dimensions separately. The measurement of the occupational aspirations of the respon- dents was a problematic one. The scale used was not a sufficient index of social mobility in that the majority of the respondents clustered around one or two particular groups of occupations. Given the scarcity of information at the local community level concerning occupational opportunities, and also the idea that the educational system in Libya was tied to the occupational structure posed some problems in measuring this variable. The respondent was asked in an open type question about his ideal and realistic future occupation. Responses tended to be centered around certain occupations that the respondents were familiar with. It is strongly recommended that in future research a list of occupations should be given to the respon- dents to choose from. The other limitation concerning this variable 154 has to do with the scale used to order the responses in relative prestige. The items were presented to the respondents according to their prestige level by judges. This method, however, is limited in its ability to discriminate in prestige rankings between occupa- tions in the upper and middle levels of the prestige hierarchy. It is, therefore, strongly recommended that if this method is to be used in future research that the items must be presented in purely random order. It is also possible that a North-Hatt scale type should be constructed to more adequately measure this variable. DeSpite the limitations of the design just mentioned, the study contributes some significant knowledge concerning social psycholog- ical factors in migration phenomena. Policy Implications The findings from this study have utility for policy makers in Libya, particularly in suggesting answers to persistent questions raised by the development planners. Among those questions are: should students be permitted to freely leave their rural communi- ties, in the process of developing rapidly, in order to reside in the burgeoning cities? What policies should be devised to properly control and manage the outward flow of young people? Do the local and national developmental plans and projects match the educational and occupational aspirations and plans of young people? From a practical standpoint, educational and developmental pro- grams aimed at helping young people make intelligent lifetime career decisions must be reckoned with, and must be tailored to the social- economic conditions and needs of the local communities and the 155 nation. The study suggests that educational administrators, guidance counselors and other school officials should initiate and institute programs and curricula that are sensitive to the local-national balance between educational and personnel needs of a developing society. In this respect, career orientation programs as well as programs dealing with the development process and plans, must be integrated with the school curriculum. Further, this study implies that vocational education pro- grams to meet local and/or national labor market needs should be introduced in the study area. Such programs should receive major emphasis and should coincide with the introduction of some indus- tries in the area. APPENDIX A THE QUESTIONNAIRE APPENDIX A THE QUESTIONNAIRE What This Study Is About Every year thousands of students in high school like yourself face the problems of choosing a life career and of selecting an area where they would like to live. The purpose of this study, hence, is to gain a clearer understanding of these problems faced by young people who are about to leave high school. You and only you can provide the answers. By carefully and sincerely filling out this questionnaire, you will show us how these important problems look from your point of view. This information will be of great value in develOping programs for future high school students. Please follow the directions 1. Read each item carefully. Then answer it to the best of your knowledge. 2. Be sure to answer each question completely. The outcome of the study will be successful only if you are careful to provide accurate and complete information. 3. Do not hesitate to ask for help from members of the project staff if you are in doubt or do not understand an item. 156 157 FIRST: GENERAL INFORMATION ABOUT YOURSELF 1. Your name 2. Your address 3. How old are you? (Years) Your date of birth: *(Month) (Day)' (Yearj' 4. Your major in school: ( ) Science ( ) Arts and Letters 5. Do you live: ( ) on farm ( ) in the country but not on a farm ( ) in a village or town 6. With whom do you live regularly? ) own parents ) a parent and step-parent ) one parent only ( ( ( ( ) grandparents ( ) uncle or aunt ( ) others (write in who they are) SECOND: YOUR HOME AND PARENTS Now we would like to have some information about your family and the place where you live. 153 7. Your parents are: ( ) both living together ( ) both dead ( ) father is dead ( ) mother is dead ( ) divorced 8. Your mother (or step-mother) ( ) has no job outside the home ( ) has a part-time job outside the home ( ) has a full-time job outside the home ( ) (mother not living or not at home) 9. Your father's main occupation: (or was, if dead or retired) (Specify the kind of work he does and not where he works) 10. Your father's part-time occupation is, at present: ll. If your father is self-employed (owns a farm, some kind of busi- ness or has a profession), state exactly the kind of business or profession? l2. If your father is a farmer, or owns a plot(s) of land, please state: a. Size of the farm or plot(s) in hectares: ( ) b. How many sheep are owned: ( ) c. Do your father have any tractors? ( ) Yes ()No If "Yes," how many? ( ) 13. 14. 15. 16. 17. 18. 159 Where was your father born? Where was your mother born? How old is your father (approximately) How old is your mother (approximately) What is the highest level of schooling completed by your father and mother? Father Mother a. Illiterate ( b. Read and write ( c. A primary school education ( d. Some high school education ( ( f. Some vocational education ( ( 9. Completed vocational education ( ) ( ) ( ) ( ) ( ) e. High school graduate ( ) ( ) ( ) h. Some college ( ) ( ) ) ) ) ) ) ) ) ) ) ) ( i. College graduate ( j. Other (indicate the kind) ( Indicate your father's approximate income last year? Under L.D. 999 L.D 1,000 - 2,999 L.D 3,000 - 3,999 L.D 4,000 - 4,999 ( ) ( ) ( ) ( ) ( ) L.D 5,000 5,999 ( ) L.D 6,000 - 6,999 ( ) L.D 7,000 - 7,999 ( ) L.D 8,000 and over ( ) Don't know; no idea 19. 20. 21. 22. 23. 24. 25. 26. 160 How many people live in your house at home? How many older, living brothers do you have? How many younger, living brothers do you have? How many older, living sisters do you have? How many younger, living sisters do you have? What type of dwelling does your family occupy? ( ) Villa ( ) Apartment ( ) Hoosh ( ) Others (specify) How many separate rooms in your house? What type of water source do you have in your house? ( ) Municipal piped water ( ) Shared private reservoir or well ( ) Own private reservoir or well What type of lighting do you have in your house? ) Electricity ) Kerosene ( ( ) Gas ( ( ) Other (specify) Do you have the following items in your house? a. A piped water tap? Yes ( ) b. Hot water on tap? Yes ( ) c. An indoor flush toilet? Yes ( ) d. A bathroom in the house? Yes ( ) e. A telephone? Yes ( ) f. A radio? Yes ( ) No No N0 No N0 N0 161 g. A T.V. set? Yes ( ) No ( ) h. A washing machine? Yes ( ) No ( ) i. A kitchen range? Yes ( ) No ( ) j. An electric or gas cooker? Yes ( ) N0 ( ) k. 00 you eat your meals in the kitchen? Yes ( ) No ( ) l. Does your family have a car? Yes ( ) No ( ) m. 00 you have a carpet in the sitting room? Yes ( ) No ( ) n. 00 you have linoleum on floors? Yes ( ) No ( ) If yes, which rooms? 27. Does your family: a. Get a daily newspaper? Yes ( ) No ( ) b. Get a weekly magazine? Yes ( ) No ( ) 0. Listen to the news every day? Yes ( ) No ( ) 28. Is your father a member of any organization (Farm Federation, Labour Union)? Yes ( ) No ( ) THIRD: LEAVING YOUR HOME COMMUNITY: All of us have feelings about the community in which we live. There are things in it that we like and things that we do not like. We want your honest opinion about the f01lowing questions as they apply to your community. 29. As a place to live soon after graduation, how well do you like your community? a. Strongly dislike ( ) b. Dislike it ( ) c. Am indifferent ( ) d. Like it ( ) ( ) e. Am enthusiastic about it 30. 31. 32. 33. a. 162 After you are married and have a family, how well would you like your community as a place to live? a. Strongly dislike it ( ) b. Would dislike it ( ) c. Would be indifferent ( ) d. Would like it ( ) e. Would be enthusiastic about it ( ) Do you have the intention of moving away from your community after graduation? ( ) Yes ( ) No If "yes," what are your two main reasons? a. First reason: ( ) 0. Second reason: ( ) How definite are you about intending staying or moving from your community after graduation? a. Definite intention to move ( ) b. Indefinite whether to move or to stay ( ) c. Definite intention to remain in the community ( ) Below is a list of statements that express opinions about any community. Read carefully and check the phrase most nearly repre- senting your personal belief about the community in or near which you live. Strongly Strongly Agree Agree Undecided Disagree Disagree I am looking forward to leaving this community ( ) ( ) ( ) ( ) ( ) 163 Strongly Strongly Agree Agree Undecided Disagree Disagree b. Any young people looking for recog- nition and new ex- periences should leave this community ( ) ( 1 ( ) ( ) ( ) c. Not much can be said of this community, its size, location and climate ( ) ( ) ( ) ( ) ( ) d. No one seems to care how young people get on in this community ( ) ( ) ( ) ( ) ( ) e. It is difficult for the people to get together in anything ( ) ( ) ( ) ( ) ( ) f. There is too much bickering among people in this com- munity ( ) ( ) ( ) ( ) ( ) g. This community is not too bad really ( ) ( ) ( ) ( ) ( ) h. The future of this community looks bright ( ) ( ) ( ) ( ) ( ) i. The people of this community are very friendly and help- ful to one another ( ) ( ) ( ) ( ) ( ) j. This community is a good place to live in ( ) ( ) ( ) ( ) ( ) k. I am very eager to spend my life in this community, if I can at all. ( ) ( ) ( ) ( ) ( ) 34. Some young people from your community have said that they would not live there always, but only in a community which had certain characteristics: How much do you agree or disagree with them? Strongly yAgree 164 Strongly Agree Undecided Disagree Disagree A place that is nearer a big town than the one you live in ( A place that has bet- ter roads than the one you now live in ( A place that has bet- ter primary and pre- paratory schools than the one you now live 1n A place which is nearer to libraries, secondary schools and other institu- tions ( A place which allows me to enjoy my time off better than my home community ( A place where a per— son would not have to go so far to enjoy sports events, enter- tainments like movies and musical events ( A place that has better facilities for games than this one has ( A place where people showed more interest in community work, organized clubs and teams for young people to play and enjoy themselves ( A place where there would be more young people to spend spare time and organize games with A place that is nearer to shops and good shopping facilities than the one you live in ( 35. 36. 37. 38. 165 Now, suppose that you could enjoy all the amenities of the big city in your home community, would you stay there permanently? ( ) Yes ( ) No ( ) Undecided If you have some idea of leaving your home community for else- where, is the fact that your home community lacks the amenities that you would like it to have an important reason for this decision? ( ) Yes ( ) No If yes, do you know of any place in which you could satisfy your aspirations and which has all the amenities and advantages that you would think are satisfactory? ( ) Yes ( ) No ( ) Don't know If "Yes," where is this please? ( ) How strongly do you agree or disagree, that young people like yourself should provide for themselves in the future the follow- ing things? Strongly Strongly Agree Agree Undecided Disagree Disagree A better house than your parents have ( ) ( ) ( ) ( ) ( ) Electric lights and power in the house ( ) ( ) ( ) ( ) ( ) A piped water supply in the house ( ) ( ) ( ) ( ) ( ) Hot water on tap in the house ( ) ( ) ( ) ( ) ( ) 166 Strongly Strongly Agree Agree Undecided Disagree Disagree An indoor flush toilet in the house ( ) ( ) ( ) ( ) ( ) A bathroom in the house ( ) ( ) ( ) ( ) ( ) A telephone in the house ( ) ( ) ( ) ( ) ( ) A radio in the house ( ) ( ) ( ) ( ) ( ) A T.V. set in the house ( ) ( ) ( 1 ( ) ( ) A washing machine in the house ( ) ( ) ( ) ( ) ( ) A kitchen range in the house ( ) ( ) ( ) ( ) ( ) An electric or gas cooker in the house ( ) ( ) ( ) ( ) ( ) A dining room separ- ate from the kitchen in the house ( ) ( ) ( ) ( ) ( ) A car ( ) ( ) ( ) ( ) ( ) A daily newspaper A V A V A V A v A v The house fully furnished ( ) ( ) ( ) ( ) ( ) Carpets on the floors of the house, at least in the sitting room ( ) ( ) ( ) ( ) ( ) . For those things you have just mentioned (and other things like them) that you feel people should have, do you think that if you stay in your home community or near it, that you will be able to achieve the things you want? ( ) Yes ( ) No ( ) Not sure 40. 167 Now, supposing that you could get all these things by staying around here, would you stay here permanently? ( ) Yes ()No ( ) Not sure FOURTH: YOUR OBLIGATIONS TOWARD YOUR FAMILY 41. 42. 43. Are you living with your family now? ( ) Yes ( ) No If "No," where did you live for the last three years? ( ) Do you help out your family, or some other relation in any way? ( ) Yes ( )No If "Yes," please give details of what you do: Do you think that your family, or some other relation depend on your help to any extent? ( ) Yes ( )No If "Yes," how much: ( ) A great deal ( ) Somewhat ( ) Undecided ( ) Not very much 44. 45. 46. 47. 168 Now, if you were to leave your community and home, could somebody else do the work that you are doing for them? ( ) Yes, very easily ( ) Yes, somewhat easily ( ) I don't know ( ) No, not very easily ( ) Not except with difficulty Now, if your family (or some other relations) depend on you to help them out at home to some extent, would you feel guilty leaving your family to go to school or work, and live away from home? ( ) Yes ( )No If "Yes," how guilty would you feel: ( ) Very guilty ( ) Somewhat guilty ( ) Undecided ( ) Not very guilty If you are helping out your family by working at home, for how long will you be expected to do this? If you are helping out your family by working at home, what do you intend to do when you think your obligations to your family are finished? 169 48. Now, if you are already earning, or when you will start earning money, will you be expected to contribute some to the family? ( ) Yes ()No If "Yes," do you think that your family might depend on you for this support? Yes, a great deal Yes, somewhat ( ( ( Undecided ( ) ) ) ) No, not at all 49. Have you any younger brothers or sisters that have to be educated? ( ) Yes ()No If "Yes," will you be expected to help them out in any way? ( ) Yes ()No If "Yes," please give some particulars of what kind of help you would be expected to give? FIFTH: YOUR FUTURE OCCUPATION Now that high school graduation is nearing, I would like to know something about your plans f0r your future life's work. 50. If you could have any occupation you wanted, regardless of loca- tion or the amount of training or experience required, what occupation would you choose? 170 Now supposing that the occupation that you indicated as your choice if it was obtainable locally, would you take it and stay? ( ) Yes ()No 5l. What kind of occupations are you now seriously considering as a lifetime work? a. First choice: b. Second choice 52. What is the first occupation that you think you will get? SIXTH: YOUR EDUCATION PLANS 53. Do you intend to get further training after high school? ( ) Yes ()No ( ) Don't know If "Yes," what do you plan? a. College? If so, where? b. Trade school? If so, where? ( ) ( ) c. ( ) Vocational school? If so, where? ( ) d. Other, what and where? Now, supposing that the educational training you aspired to was obtainable locally, would you stay? ( ) Yes ( )No SEVENTH: 171 YOUR FUTURE, OCCUPATION AND PLACE OF RESIDENCE 54. TWenty years from now, what occupation do you expect to have? 55. Where do you expect to be living twenty years from now? (Be as specific as possible.) EIGHTH: OCCUPATIONAL PRESTIGE 56. Below is a list of occupations and you are asked to order these occupations according to their prestigious status by placing "l" to the highest and "2" to the second highest and so on until the last one for each group of occupations. I. Professional Technical and Related Workers ( ( ( ( ( ( ( ( ( ( ) ) ) ) ) ) ) ) ) ) Doctor Engineer Judge Secondary School Teacher Preparatory School Teacher School Principal University Professor Lawyer Accountant Pilot/Captain II. Administrative, Executive and Related Worker ( ( ( ) ) ) Businessman Administrative Executive Bank Executive III. IV. VI. VIII. 172 Clerk Workers Clerk Supervisor Civil Servant ( ) ( ) ( ) Transportation Foreman ( ) Postman ( ) Policeman Sales Workers Shop Manager Sales Supervisor ( ) ( ) ( ) Salesman ( ) Insurance Agent ( ) Cashier in a Shop ( ) Hotel and Restaurant Supervisor Farmers, Fishermen, Loggers and Related Workers Agricultural Advisor Farmers Agricultural Labourer Logger Labourer ( ( ( ( ( vvvvv Fishermen Transportation and Communication Workers ( ) Bus Driver ( ) Taxi Driver ( ) Truck Driver Crafts and Services Worker ( ) Mechanic ( ) Electrician ( ) Factory Worker (unskilled) 173 Carpenter ( ) ( ) Tailor ( ) Barber ( ) Blacksmith 57. For the following list of occupations, please check off (X) all those occupations that you feel you would be letting down your family if you were to take them up: Road Construction worker Agricultural labourer Unskilled factory worker Street sweeper Building construction worker Hotel labourer Laundry worker Bakery worker Bus conductor Skilled factory worker Bus driver Ticket collector (in a bus) Electrician/mechanic Shoemaker Blacksmith Barber Policeman Soldier ( ) ( ) ( ) ( ) ( 1 ( ) ( ) ( ) ( ) ( ) ( ) Truck and heavy machinery driver ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) Shop salesman 174 Postman Foreman over labourers in a factory Painter Carpenter Tailor Cashier in a shop Police officer General clerk Cashier in a bank Journalist Government official Farmer Primary school teacher Agricultural advisor Technician Nurse Insurance clerk Secondary school teacher Army officer Accountant Bank executive Lawyer Engineer Pilot/Captain Doctor Judge APPENDIX B Scalogram Analysis of Occupational Prestige in Gharian Province APPENDIX B Scalogram Analysis of Occupational Prestige in Gharian Province Using the same technique developed by Hannan (1967), Hannan and Beegle (1969), a scale of occupational prestige was constructed which then was used to measure the level of occupational aspiration among high school seniors. Question 57 in the schedule dealt with the respondents' evalu— ations of the relative prestige level of occupations. This question made use of a list of 46 occupations well known in the area. Occu- pations were arranged in an ascending order of status according to the author's viewpoint. In order to confirm this step, two indepen- dent judges (a colleague from the University in Tripoli and a High School teacher from the area) were asked to arrange the same list in the same manner. As a result, a final modified list was developed from the three versions and was presented to the students. Question 57 asked "For the following list of occupations, please check off (X) all those occupations that you feel you would be "let- ting down your family if you were to take up." The lowest occupation on the list was "Road Construction Worker" and the highest was "Judge." Students were expected to reject or accept occupations on the basis of their relative prestige alone, a point which was emphasized to all respondents in the course of supervising the completion of the schedule. The amount of prestige possessed by the particular occupation--relative to that of the individual's own family--would 175 176 be determined by the responses to question 57 in terms of accepting or rejecting certain occupations. The assumption that has to be made at this point is that: if all respondents ranked the occupation on the basis of their relative prestige, a scalogram analysis should yield a unidimensional scale of occupational prestige. That is, provided the scale meets all the criteria of scalability required by the method (Hannan and Beegle, l969z330). The item responses, therefore, were subjected to the Guttman scalogram analysis, and two codes are utilized. Those occupations which were rejected by the student as lower in status than that of the family were coded (1), while occupations accepted by the respondent were coded (O). The number of respondents who rejected each occupation (item) was calculated by using (l) as the cutting point, and as a result, the list of the 46 occupations was reordered into a new matrix as indicated by the number of times the occupation was rejected. The results indicated that the respondents did not at all agree with the judges' assessment of the relative prestige of these occupations. The following table gives the resultant rank of the 46 occu- pations, the original rank, and the total errors. Sum of Final Original Occupation Scores Rank Rank Road Construction Worker 481 l 01 Street Sweeper 480 2 04 Laundry Worker 477 3 07 Hotel Labourer 470 4 06 Barber 468 5 l7 177 Sum of Final Original Occupation Scores Rank Rank Bakery Worker 460 6 08 Blacksmith 458 7 16 Building Construction Worker 457 8 05 Tailor 455 9 25 Bus Ticket Collector 451 10 13 Carpenter 442 ll 24 Postman 441 12 21 Bus Conductor 440 13 09 Unskilled Factory Laborer 437 14 03 Shoe Maker 435 15 15 Painter 422 16 23 Technician 406 17 35 Agricultural Laborer 405 18 02 Bus Driver 402 19 12 Shop Salesman 395 20 20 Truck Driver 385 21 11 Nurse 377 22 36 Primary School Teacher 344 23 33 Skilled Factory Worker 338 24 10 Electrician/Mechanic 336 25 14 Policeman 330 26 18 Government Official 327 27 31 Foreman 321 28 22 Insurance Clerk 320 29 37 178 Sum of Final Original OccuPation Scores Rank Rank Farmer 313 30 32 Cashier 295 31 26 Soldier 274 32 19 Agricultural Advisor 263 33 34 Police Officer 257 34 27 General Clerk 249 35 28 Cashier in a Bank 245 36 29 Army Officer 205 37 39 Journalist 179 38 30 Secondary School Teacher 160 39 38 Accountant 148 40 40 Judge 140 41 46 Lawyer 136 42 42 Bank Executive 125 43 41 Doctor 80 44 45 Pilot/Captain 77 45 44 Engineer 55 46 43 Total N = 503 Total Number of Errors = 3184 Coefficient of Reproducibility = .86 Minimum Marginal Reproducibility = .76 179 For the 46 items scaled on the prestige continuum, a total error of 3184 was produced, which gave a coefficient of reproduci- bility of .86 which does not qualify as unidimensional by Guttman's standards. The minimal marginal reproducibility, however, reached .76, rather higher than the standard (.65) required. Also percent of improvement was .10, rather lower than the standard required (.20). This was due to the large number of items with considerable level of error. In other words, the errors were not randomly distributed and were concentrated around some items. In order to meet the requirement for a unidimensional scale, a series of a scalogram analyses were conducted by excluding items that have more errors than non-errors and at the same time have relatively low correlation with the other items. This series of steps produced a unidimensional scale with a coefficient of reproducibility of .89 and the improvement over chance in reproducing patterns from the total score reached .70 percent-~again somewhat higher than the standard. On the other hand, percent improvement approached .19, almost the desired standard of .20. The method employed in Guttman-scaling 46 occupations accord— ing to their perceived prestige resulted in a quasi-scale yielding rankings which, in general, were satisfactory in the author's point of view given the purpose of the study. The scale consists of 15 occupations ranked from highest prestige to the lowest prestige. "Engineer" was ranked highest and "Technician" was ranked lowest as shown in the final rank of the 15 occupations. 180 Rank Occupation (nu362:eof times rejected) High Engineer 55 Pilot/Captain 77 Doctor 80 Bank Executive 125 Lawyer 136 Judge 14O Accountant 148 Secondary School Teacher 160 Journalist 179 Police Officer 257 Agricultural Advisor 263 Farmer 313 Government Official 327 Primary School Teacher 344 Low Technician 406 APPENDIX C INTERRELATIONSHIPS AMONG THE INDEPENDENT VARIABLES APPENDIX C INTERRELATIONAHIPS AMONG THE INDEPENDENT VARIABLES TABLE 1 The relationship between educational aspirations and community satisfaction Levels of Levels of Educational Aspirations Community . Satisfaction Low Med1um High Low (0-3) 26.1 40.8 50.6 Medium (4-6) 38.0 29.1 35.1 High (7-9) 35.9 30.1 14.4 % 100.0 100.0 100.0 T01“ N 92 103 271 Gamma = -.329 TABLE 2 The relationship between educational aspirations and occupational aspirations Levels of Levels of Educational Aspirations Occupational Aspirations Low Medium High Low 60.4 27.4 3.8 Medium 10.4 ' 12.3 18.8 High 29.2 60.4 77.4 % 100.0 100.0 100.0 ma” N 96 106 288 Gamma = .634 181 The relationship between educational aspirations and family obligations TABLE 3 182 Levels of Levels of Educational Aspirations Family Obligations Low Medium High None 9.8 11.0 17.7 Slight 29.3 56.0 56.7 Medium 60.9 33.0 25.6 % 100.0 100.0 100.0 10“” N 92 100 254 Gamna = -. 372 TABLE 4 The relationship between educational aspirations and attitudes toward the community social provisions Levels of Levels of Educational Aspirations Community Evaluation Low Medium High Negative 30.9 60.0 67.0 (0-3) Medium 32.0 24.8 20.7 (4-6) Positive 37.1 15.2 12.3 (7-9) % 100.0 100.0 100.0 Tm" N 97 105 286 Gamma = -.398 183 TABLE 5 The relationship between community satisfaction and occupational aspirations Levels of Levels of Community Satisfaction Occupational Low Medium High Aspirations (0-3) (4-6) (7-9) Low 9.5 24.5 34.3 Medium 10.5 19.5 18.6 High 80.0 56.0 47.1 % 100.0 100.0 100.0 T°ta' N 200 159 102 Gamma = -.443 TABLE 6 The relationship between community satisfaction and family obligations Levels of Levels of Community Satisfaction Family Low Med1um‘T' High Obligations (0-3) (4-6) (7-9) None 20.9 8.4 9.4 Slight 53.3 57.3 39.6 Medium 25.8 34.3 51.0 % 100.0 100.0 100.0 T°ta‘ N 182 143 96 Gamma .323 184 TABLE 7 The relationship between community satisfaction and attitudes toward the community social provisions Levels of Levels of Community Satisfaction Community Low Medium High Evaluation (0-3) (4-6) (7-9) Negative 70.6 53.2 38.5 (0-3) Medium 16.7 27.8 33.3 (4-6) Positive 12.7 19.0 28.1 (7-9) % 100.0 100.0 100.0 7°13] N 204 158 96 Gamma = -.356 TABLE 8 The relationship between occupational aspirations and family obligations Levels of Levels of Occupational Aspirations Family . Obligations Low Med1um High None 7.6 7.1 17.9 Slight 30.4 48.6 58.9 Medium 62.0 44.3 23.2 % 100.0 100.0 100.0 TOta] N 92 70 280 Gamma = -.501 185 TABLE 9 The relationship between occupational aspirations and attitudes toward community social provisions Levels of Levels of Occupational Aspirations Community Evaluation Low ' Medium High Negative 36.7 56.9 66.0 (0-3) Medium 35.7 22.2 20.5 (4-6) Positive 27.6 20.8 13.5 (7-9) % 100.0 100.0 100.0 1°11” N 98 72 312 Gamma = —.350 TABLE 10 The relationship between family obligations and attitudes toward community social provisions Levels of Levels of Family Obligations Community Evaluation None Slight Medium Negative 60.9 65.3 46.0 (0-3) Medium 23.4 21.3 27.3 (4-6) Positive 15.6 13.3 26.7 (7-9) % 100.0 100.0 100.0 1°15" N 64 225 150 Gamma = -.241 186 TABLE 11 Gamma statistic Interrelationships among the independent variables and dependent variable, as measured by Comnuni ty Occupa— Family Comnuni ty Mi gra- Satis- tional Obli- Evalua- tion faction Aspirations gations tion Plans Educational -.329 .634 -.372 -.398 .753 Aspirations Community -.443 .323 -.356 -.649 Satisfaction Occupational -.501 -.350 .567 Aspirations Family -.241 -.447 Obligations Community -.414 Evaluation LIST OF REFERENCES LIST OF REFERENCES Abu-Lughod, Janet. 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