' IIIIIIjIIIIIII HHIIIIIIII IIIIIIIIIlTIII 649 4508 I‘: i. ‘ ‘J "V , 1'; This i§’t°..e 714- < fi—— ~—... -- -..4.. W‘" ~3me ‘5...— W...— »quh. -— ~' scoring at or below the median were classified as 'light' 1 qua—Wm r ——.- fl.“ .I rm‘ ‘3..- —.‘._.._ .__._......_ ‘wk .umWW "q-r.&—n—‘p~ _ -———o—-——. _' H... HM Mud-«fl h‘ ‘“ F... __._ '_ _,_,, consumers of the media (items 2 through 5). r.-... .77_ SWH'W ....‘..’—-- .— Respondents also indicated forms of media content to ._._..._.. I... .... may-.4 .nu ‘M .. «a. ..._ o—a "'"""' which they attended. If a respondent attended to a particular form of content s/he was given a point. If not, s/he received a zero. Totals were then added up and summed for a particular content. Again, those who scored above the median were considered 'heavy' users of news or enter- tainment, and those scoring at or below the median were classified as 'light' users of the content (item 1). The item concerning voting intention did not require reduction or transformation. Hypothesis Testing To test the first hypothesis, a_dependent t- testm_ _diffp£§pce of meappjfigyptiligpdp First, the mean for the gratification dimension resulting from Wave I was pitted against the mean obtained for the gratification dimension from Wave II. A dependent t-test was needed since the sample for the second data collection point was the same (i.e., dependent upon) as the first sample. An Alpha level of .05 was used. This same procedure was used to test the second sub-hypothesis. 48 The second hypothesis was tested by performing a chi- square test of difference between the voter/non-voter and W .. ~~v~—~--cso‘w.._‘m W '_“‘ -~.- I“... .1.--— -M h~ om. —_._.._~v-—- the heavy/light consumer of Mmedia.fi Similarly, a chi-square test was performed to test thefsignificance of differences between the voter/non-voter and the heavy/light user of (1) news and (2) entertainment. Chi-square was the only logical test given the level of data analyzed. Here, too, an Alpha level of .05 was used. _ The third hypothesis encompassed different tests. To examine the relationship between an individual's voting M ‘m-M intention and his or her family communication pattern,ma chi- ._ “w”. “—5.-- m—v— ,— .. t - u- '9— “ "Mfi-w- I-r‘u". square test of difference was employed. Similarly, the MMHu.mwo-* ”fiance-“fl" —‘ relationship between content use of the media and the family communication pattern was scrutinized by a chi-square test of difference. Given the level of the data, this was the most appropriate, and the strongest,statistical tool available. Finally, the relationship between the family communication pattern and the avoidance and gratification dimensions was tested for meaningful differences by a one-way analysis of variance (ANOVA), contrasting the laissez-faire and protective type family members against the pluralistic and consensual type family members. In all three cases, an Alpha level of .05 was used. Summary Graduates from a small upstate New York high school served as the sampling frame for this study. A proportionate stratified sample was selected from this population of young, first-time, potential voters. 49 Respondents were asked at the beginning of the presidential campaign for their voting intention, media use habits, family communication pattern, and reasons for both seeking gratification or avoiding political information from the media. Except for family communication patterns and media use habits, respondents were asked for this information at both data collection points. The first point of data collection was done by mail and a phone interview was used for the second. The instrument used for this research borrowed heavily from previous research in the field, although, through focus group interviews and pre-testing, some modifications were made. The data underwent two stages of analysis. First, much of the data was reduced to meaningful variables. Many of the raw item data were brought together to form variables such as the family communication pattern typology. Media use items were summed to provide an overall composite of time spent with the media,as well as use of specific content. Factor analysis reduced the numerous items dealing with avoidances and gratifications into meaningful variables. The second step in data analysis was to test the hypotheses for significant results. For the first set of hypotheses, a t-test difference of means was employed to monitor any change between the two data collection points in terms of avoidances or gratifications received by young, first-time, potential voters from the media. The second set of hypotheses used a chi-square to test for an association between media use (both time and content) and voting 50 intention. Finally, the third hypothesis used two statistical tests. First, a chi-square test of difference was used to check for the relationship between family communication pattern, voting intention, and use of the media. Secondly, an ANOVA was used to test differences between family communi- cation pattern and the gratification and avoidance dimensions. CHAPTER IV NOTES 1Taken from the 1970 Census Tract for the Syracuse Metropolitan Area. Preliminary data from the 1980 census tract indicate only a decline in the population, but no shift in demographics. ZInterview with Kay Benedict, Board of Elections, Onondaga County, State of New York, 12 March 1981. 3See Jack M. McLeod and Lee B. Becker, "Testing the Validity of Gratification Measures through Political Effects Analysis," The Uses of Mass Communication. (Beverly Hills: Sage Publication, 1974) for a lucid discussion on each of these items. 41bid. 5While such an opportunity was provided to the respondents, very few chose to comment. Of those that did (five), the comments were merely elaborations upon one of the already provided items. 6Dennis McQuail and Jay G. Blumler, Television in Politics. (Chicago: University of Chicago Press, 1969). 7Steven H. Chaffee, Jack M. McLeod and Charles K. Atkin, "Parental Influences on Adolescent Media Use," American Behavioral Scientist, Vol. 14, 1971, pp. 332-333. 8McLeod and Becker, op. cit., p. 143. 9The results were identical at the second data collection point as compared to the first. An abnormally high (88%) amount of respondents indicated an intent to vote. The possible issuance of a 'socially responsible' answer to the first instrument may have led to actual behavior for the second. 51 CHAPTER IV NOTES 10Earl Babbie, The Practice of Social Research. (Belmont: Wadsworth Publishing Co., Inc., 1979). See pages 331-337 for an easy introduction to mail survey questionnaires. In addition to a profound discussion on the pros and cons of the method, Babbie points out many, often times over-looked, details such as the ones applicable here. llIbid., p. 335. 52 CHAPTER V RESULTS Despite confirmation from previous research, relation- ships among the variables studied were generally not supported by the data. These findings may have been due to the relatively small sample size, the nature of the universe studied, or the nature of the 1980 presidential campaign. In any event, the evidence did not lend support to the predicted relationships. The relationships among the variables studied were tested by the most powerful statistical tests that could appropriately be applied. In all cases, an Alpha level of .05 was used to test for significance. Responses of "Don't Know" or "Not Sure" were excluded from the analysis, as were any non-responses. The number of such responses was small, and is reported in each specific case. The first hypothesis tested the assumption that there were strong feelings toward the political campaign. These feelings could best be seen through manifestations in attention paid to the political information presented by the media. H 1.0 Mass Media use in the 1980 Presidential 53 54 Campaign by young, first-time, potential voters will be characterized by gratifications and avoidances. Specifically, the assumption gleaned from previous research on the general electorate indicated that the level of gratification obtained from political information in the media would increase from the start of the campaign to the campaign's conclusion.1 H 1.1 The level of gratification experienced from the media by young, first-time, potential voters will be higher at the second data collection point than at the first. The data did not support the hypothesis generated from these assumptions. A dependent t-test of means was used to measure this difference between data collection points among the respondents. As the respondents from Wave II were dependent upon the respondents of Wave I (i.e., one had to participate in Wave I to be included in Wave II), the dependent t-test of means was the only logical, and powerful, test appropriate. Table 5-1 DEPENDENT t-TEST FOR HYPOTHESIS 1.1 formula t = Gratification mean of Wave I minus the Gratification mean of Wave II * Si plus 5% / N minus one t = 8.204-8.673 (2.738)2 plus (2.515)2 / 97 55 t = 1.2424704 *N, here, equals the number of pairs At the .05 level of significance, there was no appreciable difference between the level of gratification at the beginning of the campaign than at the end of the campaign. The second sub-hypothesis was generated from research suggesting that those alienated at the beginning of the campaign would be similarly so minded at the end of the campaign, with no significant difference in the level of this alienation over the campaign's duration.2 While based on positive findings in the general electorate in past elections, the data here do not confirm this reasoning among the young, first-time, potential voter. Conversely, it was found that by the campaign's conclusion, more of these young, first-time, potential voters were avoiding political information from the media than were at the campaign's commencement. H 1.2 The level of avoidance experienced from the media by young, first-time, potential voters will remain constant, both at the first data collection point, and at the second. A dependent t-test of means was employed to test for a difference with a .05 Alpha level. It can be seen that the difference was significant (Table 5-2). 56 Table 5-2 DEPENDENT t-TEST FOR HYPOTHESIS 1.2 t = 5.14286-6.77551 (2.606)2 plus (2.603)2 / 97 t = 4.365555 It should be noted that the items used to ascertain the gratifications and avoidances received from the media for political information underwent two separate statistical analyses. The first was to validate that there were two distinct factors among the items given the respondents. While the results of this factor analysis (with a varimax rotation) did identify two separate factors, the loadings were often weak. Table 5-3 FACTOR ANALYSIS OF MEDIA USES BY RESPONDENTS lggg FACTOR I FACTOR II 1 -.08 .51 2 .03 .50 3 -.10 .25 4 -.07 .44 5 —.18 .47 6 .05 .31 7 .03 .56 8 .60 .07 9 .59 .20 10 .64 —.19 11 .42 .01 12 .66 -.08 13 .25 -.11 This weak loading condition found through the factor S7 analysis could be due, in part, to the relatively large number of items for so small an N (N=157). From this per- spective, a reliability scale check was performed on each of the variables derived from the factor analysis. The results did indicate that the items did measure what each was intended to measure. Table 5—4 RELIABILITY ANALYSIS (ALPHA) OF GRATIFICATION AND AVOIDANCE DIMENSION SCALES SCALE WAVE I WAVE II Gratification .80342 .66 Avoidance .82656 .77086 In addition, the items loading on each particular factor were factor analyzed themselves to discern particular gratifications or avoidances (Table 5-5). Table 5-5 FACTOR ANALYSIS OF AVOIDANCE DIMENSION Avoidance Items Factor I Factor II Factor III 1 .86699 .10880 -.05513 2 .20730 .79693 -.07707 3 .54945 .22944 .20267 4 .14421 .41519 .20044 5 .52107 .31230 .18861 6 .10068 .06446 .82409 Similarly,1ie gratification items were subjected to factor analysis to discern particular attitudes among the responses (Table 5-6). 58 Table 5-6 FACTOR ANALYSIS OF GRATIFICATION DIMENSION Gratification Items Factor I Factor II Factor III 1 .15716 .42739 .29340 2 .04083 .26885 .73555 3 .20789 .06478 .05336 4 .32282 .57025 .03379 5 .08394 .61389 .20047 6 .69555 .08892 -.08990 7 .46469 .12751 .30421 In factor analyzing both the avoidance and the gratifi- cation dimensions of media use, a varimax rotation to a terminal solution identified three distinct factors. The loadings on each were relatively strong, with only item three of the gratification dimension failing to load significantly onto any factor. As with McQuail and Blumler; McLeod and Becker; and Semlak and Williams, both an avoidance and a 3 Further, each gratification dimension were found to exist. of these dimensions was found to contain three distinct factors in itself. Previous research has consistently found media use to be a powerful predictor of voting patterns. The second hypothesis assumed that this pattern would hold even for a specific sub-group of the general electorate, meaning the young, first-time, potential voter. H.2.0 Media use will serve as a predictor of the voting behavior of young, first-time potential voters. 59 Based on prior research relating media use to voting behavior among the general electorate, three sub-hypotheses were offered for consideration.4 While all three have uniformly been found to net significant results, each was rejected in this study by the data (Tables 5-7, 5-8, 5-9). The first sub-hypothesis predicted a relationship between media use and voting behavior: H 2.1 Heavy consumers of the media are more likely to vote than are light consumers of the media. A chi-square test for difference did not indicate a singificant difference (Table 5-7). Table 5-7 CHI-SQUARE ANALYSIS OF DATA FOR HYPOTHESIS 2.1 CONSUMPTION OF MEDIA VOTING INTENTION Vote Don't Vote Heavy 67 9 Light 62 9 N = 147 Frequency Frequency FO-FE (PO-FE)2 (F0-FE)2/FE Observed Expected 67 66.693878 .306122 .09371068 .00140509 9 9.306122 -.306122 .09371068 .01006979 62 62.306122 -.306122 .09371068 .00150404 9 8.693878 .306122 .09371068 .01077893 X = .02375785 The second sub-hypothesis stated that:5 H. 2.2. Heavy consumers of news and public 60 affairs content are more likely to vote than light consumers of news and public affairs content. While similar results were anticipated for the specific age group being studied, the data failed to confirm such logic (Table 5-8). Table 5-8 CHI-SQUARE ANALYSIS OF DATA FOR HYPOTHESIS 2.2 NEWS CONSUMPTION VOTING INTENTION Vote Don't Vote Heavy 67 6 Light 62 12 N = 147 Frequency Frequency FO-FE (FO-FE)2 (FO-FE)2/FE Observed Expected 67 64.061224 2.938776 8.6364044 .13481485 6 8.9387755 -2.938776 8.6364044 .9661731 62 64.938776 -2.938776 8.6364044 .13299303 12 9.061224 2.938776 8.6364044 .9531167 X = 2.1870977 The third sub-hypothesis predicted a relationship between level of use of specific media content and voting behavior: H 2.3 Heavy consumers of entertainment content are more likely to vote than are light consumers of entertainment content. A chi-square test for difference found no significant relationship among the variables (Table 5-9). 61 Table 5-9 CHI-SQUARE ANALYSIS OF DATA FOR HYPOTHESIS 2.3 ENTERTAINMENT CONSUMPTION VOTING INTENTION Vote Don't Vote Heavy 64 7 Light 65 11 N = 147 Frequency Frequency FO-FE (PO-FE)2 (FO-FE)2/FE Observed Expected 64 62.3061224 1.6938776 2.8692212 .04605039 7 8.6938776 -1.6938776 2.8692212 .33002778 65 66.6938776 -l.6938776 2.8692212 .30831543 11 9.3061224 1.6938776 2.8692212 .43032076 X = .72741436 The third general hypothesis reflected the major thrust of this research. Trying to explain the socio-psychological reasons behind the motivation for gratification from the media has been a major "Achilles Heel" in the practice of prior research with Uses and Gratifications Theory. While addressing this flaw was no easy task, prior research suggested that linking the family communication pattern with Uses and Gratifications Theory might account for such motivations. Based on this suggestion, the third general hypothesis was generated: H 3.0 Family communication patterns, along the concept-orientation, will predict the voting behavior, the media use habits, and the degree of gratification and avoidance received from the media by the young, first-time, potential voter. 62 It appeared logical both from an intuitive standpoint, and from the research by Chaffee, et al., that subjects from pluralistic and consensual ammmnhxuion pattern families would be more associated with concepts and, therefore, more associated with politics than their laissez-faire and 6 As protective family communication pattern counterparts. such, they would be more prone to expose themselves to news content in the media. Thus, sub~hypothesis H 3.1 (a) was generated. H 3.1 (a) Young, first—time, potential voters from families characterized by stressing the concept-orientation in their family communication pattern will use the media for news and public affairs more than individuals from families which do not stress the concept-orientation. A chi-square test showed no significant difference (Table 5-10). Table 5-10 CHI-SQUARE ANALYSIS OF DATA FOR HYPOTHESIS 3.1 (a) NEWS CONSUMPTION FAMILY COMMUNICATION PATTERN L-F/Prot. P1./Cons. Heavy 4O 36 Light 43 38 N = 157 63 Table 5-10 (Continued) Frequency Frequency FO-FE (FO-FE)2 (FO-FE)2/FE Observed Expected 40 40.178344 —.l78344 .0318658 .00079163 36 35.821656 .178344 .0318658 .00088791 43 42.821656 .178344 .0318658 .00074277 38 38.178344 -.l78344 .0318658 .00083311 X = .00325541 The second sub-hypothesis suggested that those from families stressing the concept-orientation in family communication patterns would receive more gratification from political information in the media than their counterparts.” H 3.1 (b) Young, first-time, potential voters from families characterized by stressing the concept— orientation in their family communication pattern will score higher on the level of gratification received from the media for political information than those individuals from families which do not stress the concept- orientation. The results, however, failed to confirm the expected relation- ships. A one-way Analysis of Variance (ANOVA) was used to measure the difference of raw scores