hm. a." goguvbh .2“ t. 63 90 .. :I ,In-.:»I(L . 2 .. c .2 émfirifiefi 2:5 nnv . . .. .13.. :..»v..l...lb¢. s. i . .3 ‘ 3W.» 5L .!.b.u~h..9 v:.. 6.. . . Jr. it“... ".3... :17: t i t ”Thu?! . 54):: 1 fi. fir. nfia. an». E... —’—-—nv . . u!.l.| A . ‘ ,y‘, . r». ‘n‘n‘t. .. iv. . . . . . A I. ,J.‘ m. Tuning: Endgdfia. .i fix 7. 9.9.3 23:»? - . ‘ u . A i: 13...; t . i...mk& u Emmfuwfir .m ulnj'illjglmalmmmmmm 01026 2172 ‘ LIBRARY Michigan State University This is to certify that the thesis entitled “Organizational Commitment in a Voluntary Organization presented by David John Whitney I has been accepted towards fulfillment of the requirements for MA degree in Psychologv 913a&\toaa& Major professor DatnglembelefliL. 0-7639 MS U is an Affirmative Action/Equal Opportunity Institution _ -._..—__——— *- —-- -u—«fi—fi‘>m _-..- m——— c——-——_- -—=ooz.. 832283 $.58 ucmogo .. 8222.03 3.5% ”5.3.2." <25 .m ..m an .292 :3 «5:582 2 p .P Lu .A La LN pm. Lw No N. Nu ..c .Au -..c -.oq .Nq .uq .No -.No .Nu -.oo ..a -..u L.o -.~A .Ow .uc .uq .ue .uN ..o .co .Lu ..cn ..o -.o. -.N~ .cm -..w -..N -..m ..o« -.NA -..o ..o .oo .ON .ou .c. -..u .o. .o. .Nq ..c .A@ .o: -.Au .ou .cm .o. -.o. ..c .we -.uA -... -.oo -..A -.o. ..o -.AN -.oq .cw .oc .oq ..o -..N -.Lo -..m .cc ..o .Nu .om .L. ..o .m: ..N ..o .NA ..c n .8 fl.b. 63 Table 6 LISREL Estimates for Lambda X and Phi Matrices for a Three-Factor Model of Antecedents to Organizational Commitment Clgsters Antecedents Goal ID Efficacy Reward Community Supp. .000 .000 .096 Evacuation Exp. .061 .114 .000 Goal Identif. .160 .000 .000 Job-related SE. .000 -.278 .000 Leader Comm. .739 .000 .000 Leader Consid. .717 .000 .000 Leader-init. Struct. .000 .048 .000 Perc. Reward .000 .000 .606 Role Clarity .000 -.099 .000 Role Conflict .000 -.158 .000 Subcomm. Str. .003 .030 .000 Efficacy -.644 Reward 1.031 -.002 64 Table 7 Principal Components Factor Analysis for the Antecedent Variables Factor 1 2 3 4 Leader Communication .90 .14 -.04 -.04 Leader Consideration .89 .14 .00 -.06 Leader—Init. Struct. .89 .10 .04 -.11 Role Clarity .73 .23 .10 .09 Role Conflict .54 -.29 -.06 .20 Goal Identification .09 .76 -.04 .07 Perceived Opp. Reward .49 .64 .15 -.06 Community Support .06 -.08 .87 -.11 Evacuation Experience -.06 .21 .59 .44 Job-related Self—efficacy -.01 .30 -.17 .69 Subcommittee Struct. .02 -.26 .17 .66 65 with varimax rotation of 3, 4, and 5 factors revealed that the antecedents do not have a simple structure. A principal axis factor analysis with specification of eigenvalues greater than 1.0 produced 4 factors, and is presented in Table 7. Examination of the factor loadings of the antecedent variables (e.g., goal identification, subcommittee structure, job-related self-efficacy, etc.) in particular leads to the conclusion that they cannot be represented within the common factor space defined by the leadership variables of leader communication, leader consideration, and leader-initiating structure. Additionally, the variables of role clarity and role conflict loaded on this factor. Examination of the intercorrelation of these variables as presented in Table 5 reveals that role clarity correlates substantially more highly with the leadership variables of communication, consideration, and initiating-structure (r = .59, .59, .61, respectively) than with role conflict (r = —.24). The intercorrelations of role conflict with the leadership variables of communication, consideration and initiating-structure were I = -.34, -.32, and -.29. Because of the factor loadings and relatively impressive intercorrelations, the items in each of these scales were examined to determine if they could be combined into a single scale. The items measuring role conflict are clearly different from those assessing the leadership variables. Whereas the leadership variables seem concerned with the leader's specification and clarification of the work to be done, the role conflict scale seems to be concerned with the degree to which LEPC members view different projects within the LEPC as competing with one another in terms of time, effort, and 66 resources. It was decided, therefore, that role conflict would not be combined with these variables to create a new factor. Inspection of the role clarity items, on the other hand, revealed that these items are similar to the leadership variables in that both sets of items are concerned with the establishment of clear work-related responsibilities. The major difference between the leadership items and the role clarity items is that the former assess the leader's influence in the creation of the latter. It was decided based upon the similar theme and high intercorrelations that the role clarity scale and leadership variables would be combined to form a single factor. These four variables produced a leadership factor with an internal consistency reliability of .97. The new leadership factor was used in place of the three separate leader variables and role clarity in all subsequent analyses. The relatively low intercorrelations between the remaining antecedent variables suggests that these antecedents should not be grouped as factors. ngressign analyses To test hypothesis 2, tests of significance of the differences between correlations were performed in order to determine whether the primary variables among the antecedents were more strongly related to commitment than were the other antecedent variables. The strength of the relationship between each of the primary antecedents (e.g., goal identification, job-related self-efficacy, and perceived opportunity for reward) and both affective and continuance commitment was compared with the strength of the relationships between each of the other antecedent variables (e.g., 67 community support, evacuation experience, leadership, role ambiguity, role conflict, and subcommittee structure) and both forms of commitment. In order to perform these analyses, each of the predictor variables was corrected for unreliability. The results of these analyses are reported in Tables 8 (affective commitment) and 9 (continuance commitment). It is clear that perceived opportunity for reward exhibits a significantly greater relationship with affective commitment than do any of the non-primary antecedent variables. The relationship between perceived opportunity for reward and continuance commitment is also stronger than the relationship between continuance commitment and any of the non-primary antecedents, with the exception of the leadership factor. Thus, hypothesis two is mainly supported for the primary antecedent 'perceived opportunity for reward'. The relationship between goal identification and affective commitment was also shown to be significantly greater than between affective commitment and any of the non-primary antecedents, again with the exception of leadership. However, none of the comparisons of the relationship with continuance commitment between goal identification and the non-primary antecedents reached significance. In comparisons of the relationship between job-related self- efficacy and affective commitment with the relationships between affective commitment and the non—primary antecedents, none of the comparisons reached significance. The relationship between job- related self-efficacy and continuance commitment was significantly greater than three of the five relationships between continuance 68 Table 8 Comparisons of the Relationships Between the Antecedents and Affective Commitment 1mm: r t Goal Identification .37 vs. Community Support . 14 2.44* vs. Evacuation Experience .09 4.08* vs. Leadership .58 -1.77 vs. Role Conflict -.16 2.35* vs. Subcommittee Struct. .06 3.33* Job-related Self-Efficacy .23 vs. Community Support .14 0.90 vs. Evacuation Experience .09 1.58 vs. Leadership .58 -3.24* vs. Role Ambiguity -.10 1.37 vs. Role Conflict -.16 0.72 vs. Subcommittee Struct. .06 1.81 Perceived Opp. for Reward .68 vs. Community Support . 14 7 .74* vs. Evacuation Experience .09 8.42* vs. Leadership .58 2.20* vs. Role Conflict -.16 7.55* vs. Subcommittee Struct. .06 8.18* r = correlation between antecedent and affective commitment after correction for unreliability in the antecedent t = the t statistic of the comparison of the differences between two correlations, calculated using the procedure by Downie & Heath (1970) * indicates significant, p < .05 N = 204 69 Table 9 Comparisons of the Relationships Between the Antecedents and Continuance Commitment M r t Goal Identification .10 vs. Community Support .04 0.59 vs. Evacuation Experience .02 0.83 vs. Leadership .18 -0.92 vs. Role Conflict .02 0.83 vs. Subcommittee Struct. .00 1 .00 Job-related Self-Efficacy .22 vs. Community Support .04 1.78 vs. Evacuation Experience .02 2.25* vs. Leadership .18 0.42 vs. Role Conflict .02 2.04* vs. Subcommittee Struct. .00 2.33* Perceived Opp. for Reward .23 vs. Community Support .04 2.04* vs. Evacuation Experience .02 2.26* vs. Leadership .18 .79 vs. Role Conflict .02 2.28* vs. Subcommittee Struct. .00 2.26* r = correlation between antecedent and continuance commitment after correction for unreliability in the antecedent t = the t statistic of the comparison of the differences between two correlations, calculated using the procedure by Downie & Heath (1970) * indicates significant, p < .05 N = 204 70 commitment and the non-primary antecedents. Specifically, the job- related self-efficacy and continuance commitment relationship was significantly greater than the relationships between continuance commitment and evacuation experience, role ambiguity, role conflict, and subcommittee structure. The calculation of the significance of the differences between correlations leads one to conclude that hypothesis two received only partial support. Although the variables hypothesized to be primary antecedents were significantly more strongly related to both affective and continuance commitment than were many of the antecedent variables, the comparisons of these relationships did not always reach significance. Furthermore, the strength of the relationship between the leadership factor and commitment was surprisingly strong. In one case leadership had a stronger relationship with commitment than the variables hypothesized to be primary antecedents. In order to determine which of the antecedents was most predictive of organizational commitment, regression analyses were performed. Regressing affective commitment upon the antecedents using a step-wise procedure, the only four variables to enter the equation were opportunity for reward, leadership, job-related self- efficacy, and goal identification. These four variables produced a multiple R of .71 (F(4,199) = 50.93, p <.01), indicating that together these 4 variables account for approximately 50% of the variance in affective commitment. Interestingly, three of these four variables were indeed hypothesized to be primary antecedents. Only 7 1 leadership, which was the second variable to enter the equation, was not hypothesized to be a primary antecedent. When continuance commitment was regressed upon the antecedents, only two variables entered the equation: perceived opportunity for reward and job- related self-efficacy. Both of these variables were hypothesized to be primary antecedents. The resulting multiple R is .27 (F(2,201) = 8.00, p < .01). The standardized regression coefficients for these analyses are presented in Table 10. In order to determine whether inclusion of variables hypothesized to be primary antecedents (e.g., goal identification, job- related self—efficacy, and perceived opportunity for reward) was necessary to predict organization commitment accurately, a second series of regression analyses was performed. First, commitment was regressed upon all of the non-primary antecedents. In a second step, the primary antecedents entered the regression equation. If the change in R was significant for this step, the inclusion of the variables hypothesized to be primary antecedents would be necessary to achieve accurate prediction. When affective commitment was regressed upon the non-primary antecedents, the resulting multiple R was .59 (F(5,198) = 20.61, p < .01). After the addition of the primary variables the multiple R rose to .72, (F(8,l95) = 26.40, p < .01). The change in F was significant, FChg(3,195) = 24.05, p < .05, indicating that inclusion of the primary antecedents significantly increases predictive accuracy of affective commitment. This regression analysis is presented in Table 11. 7 2 Table 10 Hypothesis 2: Regression Results Dependent Variable: Predictors Perc. Opp. for Reward Leadership Factor Job-related Self-effic. Goal Identification Dependent Variable: Prir Affective Commitment Beta Total R2 Change R2. .63 .40** .40** .33 .47** .08** .15 .50** .02** .11 .51** .01* Continuance Commitment Beta Total R2 Change R2. Perc. Opp. for Reward Job-related Self-effic. * denotes p < .05 ** denotes p < .01 N=204 .21 .04** .04** .17 .07** .03* 7 3 Table 11 Hypothesis 2: Regression Results Dependent Variable: Meters Community Support Evacuation Exp. Leadership Factor Role Conflict Subcommittee Str. Goal Identification Job-related Self-effic Perc. Opp. for Reward * denotes p < .05 ** denotes p < .01 N = 204 Affective Commitment Beta Total R2 Changs R2 .08 .05 .58 -.04 .06 .34** .11 .15 .40 .52** .18** 7 4 Table 12 Hypothesis 2: Regression Results Dependent Variable: Predictors Community Support Evacuation Exp. Leadership Factor Role Conflict Subcommittee Str. Goal Identification Job-related Self-effic Perc. Opp. for Reward * denotes p < .05 ** denotes p < .01 N = 204 Continuance Commitment Beta Total R2 Qhangs R2. .03 .02 .20 -.09 .00 .04 .01 .18 .13 .09* .05* 75 This procedure was repeated regressing continuance commitment on the antecedents. Entering only the non-primary antecedents resulted in a multiple R = .20, (F(5,198) = 1.63, p > .05). Following the entering of the primary antecedents the multiple R = .29, (F(8,l95) = 2.32, p < .05). The change in F was significant, FChg(3,195)=3.38, p < .05. This result indicates that continuance commtiment is more accurately predicted when the primary variables are included. This regression analysis is presented in Table 12. These analyses provide evidence that the variables of goal identification, job-related self-efficacy, and perceived opportunity for reward are indeed important predictors of both affective and continuance commitment. However, other antecedents (in particular, leadership) also play an important role in the prediction of organizational commitment. Aff iv vs n in n e ommitmen Due to the voluntary nature of Local Emergency Planning Committees, it was hypothesized that subjects would be more likely to experience affective than continuance commitment. Evidence supporting this hypothesis is found in how well the antecedents predicted the two types of organizational commitment. The multiple correlation for affective commitment (R = .68) is significantly larger than the multiple correlation for continuance commitment (R = .27). 76 Hypothesis 4 predicted the relationships between the affective and continuance components of organizational commitment and the individual-level outcome measures. Specifically, affective commitment was expected to be positively related to perceived effort expended and attendance, but negatively related to turnover intentions. Continuance commitment was also predicted to be negatively related to turnover intentions, but uncorrelated with attendance or perceived effort due to the voluntary nature of LEPCs. The portion of hypothesis 4 concerning affective organizational commitment was completely supported. The intercorrelations between affective commitment and the outcome variables of turnover, attendance, percentage of attendance, and perceived effort were -.45, .44, .42, and .59, respectively. All of these were significant at p < .01. The hypothesized relationship between turnover and continuance commitment was supported, r = -.17. Contrary to hypothesis 4, significantly positive relationships were found between continuance commitment and the other individual- level outcome variables of attendance, percentage of attendance, and perceived effort (r = .14, .20. and .33, respectively). Utilizing the procedure suggested by Downie and Heath (1970), t-tests were used to compare correlations between the individual outcomes and both organizational commitment variables, following correction for unreliability in the commitment variables. The difference between each of the corresponding correlations was significant. Comparing 77 the disattenuated correlations between each of the commitment variables and turnover intentions (rAff = -.45; TCont = -.23) produced t(197) = 3.75, p < .01. Comparing the disattenuated correlations between each of the commitment variables and attendance (I'Aff = .47; YCont = .19) produced t(197) = 4.27, p < .01. Comparing the disattenuated correlation between each of the commitment variables and the percentage of attendance (rAff = .45; TCont = .27) produced t(197) = 2.65, p < .01. Finally, comparing the disattenuated correlations between each of the commitment variables and perceived effort (rAff = .63; rCont = .45), yielded t(197) = 3.15, p < .01. Thus, affective commitment more strongly influenced each of the individual level outcome variables than did continuance commitment. The intercorrelations of the individual outcome variables were examined to determine whether these variables might form a single scale. Although all intercorrelations for these individual-level outcome variables were generally high, initial internal consistency reliability estimates were low due to the inclusion of a single item assessing the respondents' self-report of the LEPC meetings he or she attended in the past year. Inspection of the means and standard deviations of the variables revealed the four scales utilizing a Likert- type scale (e.g., attendance, perceived effort, and turnover intentions) to have means around 5.0, with standard deviations near 1.0. This pattern was strongly contrasted by the percentage of 78 attendance variable, which possessed a mean of 83.8, with a standard deviation of 21.4. The percentage of attendance variable was therefore standardized using z-scores. The resulting internal consistency reliability of the factor representing individual level outcomes was a = .85. It was thought that by combining the individual-level variables in this manner the factor would more accurately capture the motivational and attitudinal processes underlying each of the components of the individual-level outcome variables. The disattenuated correlation between the individual- level outcome factor and affective organizational commitment was r = .64. The disattenuated correlation between the individual-level outcome factor and continuance commitment was r = .38. These two correlations were significantly different, t(197) = 4.45, p < .05. Tasts 9f ths Modal Hierarchical regression was used to test the proposed mediating relationship between the antecedents, organizational commitment, and individual outcomes (hypothesis 5), using the method suggested by James and Brett (1984). Initially, hypothesis 5 was tested using the individual outcome factor as the dependent variable. Table 13 provides the results obtained in the test of hypothesis 5. In the first equation the individual outcome factor was initially regressed onto the antecedents. This produced a multiple R = .55 (F(8, 195) = 10.39, p <.01). Next, affective and continuance 79 commitment entered the equation, resulting in a multiple R = .64, (F(10,l93) = 13.71, p <.01). The change in F was significant, FChg(2,193) = 19.24, p < .01. The second equation again regresses the individual outcome factor onto the antecedent and commitment variables, but this time the order of entry was switched, such that commitment entered the equation before the antecedents. Affective and continuance commitment were shown to explain a significant proportion of variance in individual outcomes, multiple R = .61 (F(2,201) = 59.15, p < .01). Finally, the antecedents were entered into the equation, producing a multiple R = .64,(F(10,193) = 13.71, p < .01). However, the F change was not significant, FChg(8,l93) = 1.85, p > .05. This result, together with the significant prediction of the commitment variables from the antecedent variables, supports the assertion that organizational commitment indeed mediates the relationship between the antecedents and individual outcomes. In order to combine the individual-level outcome variables into a single factor, it was assumed that each was governed by the same psychological processes. However, it is possible that each of the variables of attendance, turnover intentions, and perceived effort are distinct behaviors, governed by different psychological processes. If this were the case, the above test of mediation would be conceptually meaningless. Therefore, further tests of hypothesis 5 were conducted by using each of the components of the individual-level outcome factor as dependent variables. In the first of these 80 Table 13 Hypothesis 5: Hierarchical Regression Results Dependent Variable: Individual Outcome Factor P i r Beta Total R2 Chang; R2. Equation 1 Community Support .03 Evacuation Exp. .04 Goal Identification .17 Job-related Self-effic .22 Leadership Factor .30 Perc. Opp. for Reward .15 Role Conflict .00 Subcommittee Str. .00 .30** Affective Commitment .46 Continuance Commit. .08 .42** .12** Equation 2 Affective Commitment .57 Continuance Commit. .10 .37** Community Support -.01 Evacuation Exp. .04 Goal Identification .12 Job-related Self-effic .14 Leadership Factor .14 Perc. Opp. for Reward -.05 Role Conflict .01 Subcommittee Str. -.03 .42** .04 * signifies p < .05 ** signifies p < .01 N = 204 81 Table 13 (cont'd) Dependent Variable: Attendance ors Beta Total R2 Change R2. WIRE—1. Community Support .00 Evacuation Exp. .10 Goal Identification .15 Job-related Self-effic .12 Leadership Factor .27 Perc. Opp. for Reward .04 Role Conflict .11 Subcommittee Str. -.02 .20** Affective Commitment .32 Continuance Commit. .01 .26** .05** Equation 2 Affective Commitment .43 Continuance Commit. .01 .19** Community Support -.03 Evacuation Exp. .10 Goal Identification .12 Job-related Self-effic .07 Leadership Factor .16 Perc. Opp. for Reward -.09 Role Conflict .12 Subcommittee Str. -.04 .26** .06* * signifies p < .05 ** signifies p < .01 N = 204 82 Table 13 (cont'd) Dependent Variable: Percentage of Attendance BtcdictmL Beta Total R2___Changc_32 Equation 1 Community Support .06 Evacuation Exp. .04 Goal Identification .13 Job-related Self-effic .23 Leadership Factor .17 Perc. Opp. for Reward .03 Role Conflict .06 Subcommittee Str. .03 .15** Affective Commitment .39 Continuance Commit. .07 .23** .08** Equation 2 Affective Commitment .39 Continuance Commit. .08 .18** Community Support .02 Evacuation Exp. .05 Goal Identification .08 Job-related Self-effic .16 Leadership Factor .03 Perc. Opp. for Reward -.14 Role Conflict .07 Subcommittee Str. .00 .23** .05 * signifies p < .05 ** signifies p < .01 N = 204 83 Table 13 (cont'd) Dependent Variable: Perceived Effort Predictors Beta Total R2 Change R; Equation 1 Community Support .10 Evacuation Exp. .00 Goal Identification .13 Job-related Self-effic .17 Leadership Factor .26 Perc. Opp. for Reward .18 Role Conflict -.17 Subcommittee Str. .02 .24** Affective Commitment .34 Continuance Commit. .17 .34** .09** Equation 2 Affective Commitment .45 Continuance Commit. .19 .29** Community Support .06 Evacuation Exp. .00 Goal Identification .09 Job-related Self-effic .09 Leadership Factor .13 Perc. Opp. for Reward .02 Role Conflict -.l6 Subcommittee Str. .00 .34** .04 * signifies p < .05 ** signifies p < .01 N = 204 84 Table 13 (cont'd) Dependent Variable: Predictors Equation 1 Community Support Evacuation Exp. Goal Identification Job-related Self-effic Leadership Factor Perc. Opp. for Reward Role Conflict Subcommittee Str. Affective Commitment Continuance Commit. Equation 2 Affective Commitment Continuance Commit. Community Support Evacuation Exp. Goal Identification Job-related Self-effic Leadership Factor Perc. Opp. for Reward Role Conflict Subcommittee Str. * signifies p < .05 ** signifies p < .01 N = 204 Turnover Intentions Beta Total R2 Changs 3.2.. -.03 -.01 .12 .21 .18 .13 .04 .00 .l7** .39 .02 .24** .44 .04 .20** .07 .15 .05 -.03 .04 -.04 .24** .07** .04 85 subsequent analyses the percentage of attendance variable was used as the dependent variable. In the first equation each of the antecedent variables entered the equation, producing an R = .38 (F(8,l95) = 4.18, p < .01). The commitment variables then entered the equation, producing an R of .48 (F(10,193) = 5.79, p < .01). The change in F was significant, FChg(2,193) = 10.59, p < .01. In the second equation the order in which these independent variables entered the equation was switched. Entering the commitment variables into the equation predicting percentage of attendance yield an R = .43 (F(2,201) = 22.44, p < .01). After the addition of the antecedent variables the multiple R rose slightly to .48 (F(10,193) = 5.79, p < .05). The F change was not significant, FChg(8,l93) = 1.51, p < .05. Hypothesis 5 was next tested using the attendance scale as the dependent variable. In the first equation each of the antecedent variables entered the equation, producing an R = .45 (F(8,l95) = 6.27, p < .01). The commitment variables then entered the equation, producing an R of .51 (F(10,193) = 6.64, p < .01). The change in F was significant, FChg(2,l93) = 6.66, p < .01. In the second equation the order in which these independent variables entered the equation was switched. Entering the commitment variables into the equation predicting percentage of attendance yield an R = .44 (F(2,201) = 23.75, p < .01). After the addition of the antecedent variables the multiple R rose slightly to .51 (F(10,193) = 6.64, p < .05). The F change was significant, FChg(8,193) = 2.10, p > .05. 86 Hypothesis 5 was next tested using turnover intentions as the dependent variable. In the first equation each of the antecedent variables entered the equation, producing an R = .41 (F(8,l95) = 4.89, p < .01). The commitment variables then entered the equation, producing an R of .49 (F(10,193) = 6.11, p < .01). The change in F was significant, FChg(2,193) = 9.35, p < .01. In the second equation the order in which these independent variables entered the equation was switched. Entering the commitment variables into the equation predicting percentage of attendance yield an R = .45 (F(2,201) = 25.89, p < .01). After the addition of the antecedent variables the multiple R rose slightly to .49 (F(10,193) = 6.11, p < .05). The F change was not significant, FChg(8,l93) = 1.14, p > .05. Finally, the last of the individual-level outcome variables (perceived effort) was used as a dependent variable to test the mediating relationship. In the first equation each of the antecedent variables entered the equation, producing an R = .49 (F(8,l93) = 7.82, p < .01). The commitment variables then entered the equation, producing an R of .58 (F(10,193) = 9.82, p < .01). The change in F was significant, FChg(2,l93) = 13.76, p < .01. In the second equation the order in which these independent variables entered the equation was switched. Entering the commitment variables into the equation predicting percentage of attendance yield an R = .54 (F(2,201) = 41.78, p < .01). After the addition of the antecedent variables the multiple R rose slightly to .58 (F(10,193) = 9.82, p < .05). The F change was not significant, FChg(8,193) = 1.59, p < .05. 87 In summary, the above analyses using the individual-level outcome variables of attendance, turnover intentions and perceived effort consistently provide support for the assertion in hypothesis 5 that organizational commitment mediates the relationship between the antecedents and the individual-level outcomes. This same conclusion can be reached using just the individual-level outcome factor. Although the size of the multiple R for the relationship between the antecedents, commitment, and individual-level outcome factor of .64 is slightly larger than the R for the relationship between antecedents, commitment and actual individual-level outcome variables (R around .50), this probably resulted from the increased stability of the underlying factor when attendance, turnover intentions, and perceived effort were combined. If a single psychological process does underlie each of the variables of attendance, turnover intentions and perceived effort, then the composite factor would be expected to have greater stability than any of the individual components. Hypothesis 6 examines the relationship between organizational commitment, individual-level outcomes, and group-level outcomes. In order to test this hypothesis cross-level hierarchical regression analyses were planned. However, in order to support a mediating relationship between several variables, the variables themselves must be related. Examination of the intercorrelations between the group-level outcomes and organizational commitment variables found in Table 5 reveals only very slight correlations, generally in the range of r = .05 to r = .10. The correlation between the 88 individual-level and group-level outcome is even lower, around an r = .04. Given these correlations, it is obvious that hypothesis 6 did not receive empirical support. Discussion This study examined antecedents to and consequences of organizational commitment in organizations composed of volunteer members. Additionally, the study assessed the appropriateness of a proposed re-categorization of the antecedents of organizational commitment. The results provide evidence for the generalization of findings from organizational commitment research in traditional work-related settings to voluntary organizations, although the volunteer nature of membership in the present study did contribute to some unique findings. Not all of the proposed hypotheses were empirically supported. In the next section the major findings of the present study will be discussed. The theoretical and practical implications of these findings will then be considered, along with the limitations of the present study. Finally, further research directions will be explored. R ls Steers (1977) suggested a classification of the antecedents to organizational commitment based upon the component of the work environment they are believed to affect. These three work components are, in decreasing proximity to an employee, -- person, job, and work variables. Although Steers (1977) provides a useful organization of the antecedents, his categorization fails to consider the theoretical connections between the antecedents within a category. Noting the lack of theoretical organization of the proposed antecedents of organizational commitment, an attempt was made to 89 90 provide a theoretical framework for these antecedents. The proposed re-categorization of the antecedent variables considered possible reasons why each antecedent might affect organizational commitment. Variables having common theoretical attachments to organizational commitment were then grouped together, producing three new categories. These three antecedent categories were labelled perceived opportunity for reward, job-related self-efficacy, and identification with organizational goals. Examination of the factor structure of the antecedents provided no evidence in support of this proposed re-categorization of the antecedents of organizational commitment. Indeed, factor analysis suggested that only those antecedents which assessed leadership variables (i.e., leader communication, consideration, and initiating-structure) and role clarity should be combined into a single factor. Empirical evidence suggested the remaining antecedent variables are distinct factors. Thus, the proposed re-categorization of antecedents to organizational commitment failed due to lack of empirical support for the notion of similarities in underlying theoretical attachments. The finding that the antecedents are generally uncorrelated casts doubt on the success of any future re-categorization efforts based upon theoretical similarities of the relationship between the antecedents and commitment. Perhaps, then, the contribution of Steers (1977) in the classification of antecedents to organizational commitment according to three aspects of the work environment should be retained. The present study suggests the supposed weakness of Steers' classification is not easily overcome. Whether 91 the typology proposed here is incorrect, or simply does not apply to volunteer organizations cannot be determined. Further research is needed to determine if the typology presented in the present study, or other classifications based upon theoretical similarities of the antecedents, work with other organizations. In the interim, Steers' simplistic classification remains a defensible categorization. Although previous research has indicated that organizational commitment is a multi-dimensional construct (e.g, Vandenberg and Seo, 1991; O'Reilly and Chatman, 1986; Meyer and Allen, 1984), it was hypothesized that organizational commitment in a voluntary organization would be better viewed as unidimensional. Meyer and Allen (1984) propose that organizational commitment can be described according to one's accumulation of investments (e.g., salary, benefits) that would be lost if an individual were to leave an organization (continuance commitment) and one's emotional orientation to the organization (affective commitment). Volunteers are unlikely to experience continuance commitment since they are unlikely to accumulate many investments within a voluntary organization. The present study partially supports this hypothesis. The low coefficient alpha reliability estimate for the continuance commitment scale indicates that subjects had difficulty responding in a consistent fashion to these items. Additionally, although the antecedent variables explained 46% of the variance of affective commitment, these same variables account for only 7% of the variance in continuance commitment. However, it is important to note the antecedents do account for a statistically significant amount 92 of variance in continuance commitment, indicating continuance commitment does exist, even in voluntary organizations. Even after corrections for unreliability, the prediction of individual outcome variables (e.g., attendance, perceived effort, and turnover intentions) was more accurate using affective than continuance commitment. It is clear that affective commitment is a more useful construct than continuance commitment for members of voluntary organizations. In their meta-analysis of the organizational commitment literature Mathieu and Zajac (1991) found that job challenge and scope, leadership variables, perceived personal competence, and role variables (conflict, ambiguity, overload) were the antecedents most highly related to organizational commitment. In the present study two of these variables were found to relate highly to affective commitment: job-related self-efficacy (r = .43) and the leadership factor (r = .57), suggesting the findings of previous studies may be generalizable to voluntary organizations. (Note that the leadership factor includes a role variable, clarity, which correlated .58 with affective commitment). The voluntary nature of LEPC membership may be reflected in the high correlations between affective commitment with the perceived opportunity for reward (r: .64) and identification with organizational goals (r = .33). Continuance commitment in Local Emergency Planning Committees was shown to be most highly related to job-related self—efficacy and opportunity for reward. Perhaps organizational commitment in voluntary organizations is in part dependent upon the volunteer's belief that their efforts are worthwhile in terms of personal rewards, and in 93 part dependent upon their beliefs in the importance of their contribution to society. Personal rewards can be achieved through intrinsic rewards (i.e., perceived opportunity for reward) or extrinsic rewards which can in part be obtained by a leader who provides encouragement and praise. Volunteers' beliefs that their contributions are significant can be determined by perceptions of both ability to contribute (i.e., self-efficacy) and the worthiness of making a contribution (i.e., goal identification). The impact of the leader is clearly important in the establishment of affective commitment in voluntary organizations. Leaders that are considerate, good communicators, and provide adequate structure are likely to provide volunteers not only with a clear sense of both the own responsibilities and the goals of the organization, but a strong sense of the significance of their own personal contribution as well. Previous research has indicated significant relationships exist between the antecedent variables and organizational commitment, and between organizational commitment and the individual outcome variables of attendance, effort, and turnover intentions (e.g., Mathieu and Zajac, 1991). The model in Figure 1 hypothesized organizational commitment mediates the relationship between the antecedents and individual outcome variables in voluntary organizations. This part of the model received empirical validation. The model in Figure 1 further asserts the individual outcome variables will mediate the relationship between organizational commitment and group performance. This part of the model was not 94 supported by the data. Indeed, the group performance variables measured by the LEPC chair's rating of the quantity and quality of work accomplished by the LEPC, total amount of hours worked, and an objective measure of performance assessed by submission of emergency response plans to the State Emergency Response Commission failed to show significant correlations with any of the individual outcome variables or commitment variables. Thus, no evidence was gathered supporting the proposition that organizational commitment either directly, or indirectly through its impact on individual outcome variables, influences group outcomes. The finding that individual outcomes are unrelated to group outcomes is especially surprising. Logically, one would expect that an individual’s increased attendance, reduced turnover intentions, and increased effort would increase the achievement of group outcomes in a organization. One possible explanation for the non-significant relationship between individual and group outcomes is the cross— level nature of this analysis. Outcomes pertaining to an individual were correlated with performance outcomes pertaining to the entire group. Although we might expect an individual's increased attendance, effort, and decreased turnover intentions to increase group performance, the individual's contribution to the group is limited by contributions of other group members. Thus, attendance, turnover intentions, and perceived effort of the group are more likely to be related to group performance outcomes. Eight members of each LEPC were sent questionnaires in the present study. The number of actual respondents from each LEPC was considerably less 95 (n < 3). Thus, low response rates made it very difficult to aggregate individual performance to the group-level, and then examine the relationships of group attendance, turnover intentions and effort with group performance outcomes. Such an analysis, if attempted in the present study, would have so little power as to virtuallt preclude the possibility of achieving any significant findings. Further research is warranted to examine the relationships between "average" commitment in the organization, aggregated attendance, turnover, and effort measures, and group performance. The model depicted in Figure 1 represents a logical extension of the organizational commitment literature. However, organizational commitment is inherently an individual level variable. Although the present study and others have shown that individual level outcomes such as turnover intentions and perceived effort are clearly empirically linked to organizational commitment, much less positive findings are consistently found when organizational commitment is related to group outcomes. Perhaps a more complex model which accurately portrays group processes is necessary to explain how an individual's commitment to an organization impacts upon group performance. Many models of team performance currently exist (e.g., Hackman, 1983; Gersick, 1988; Morgan et. al., 1986). Recently, Salas, Dickinson, Converse, & Tannenbaum (1992) proposed an integration of several popular models of team performance. Adapting an input-throughput-output perspective, this model posits that individual characteristics such as motivations and attitudes (including variables such as organizational commitment) interact 96 with work characteristics (e.g., norms, work structure, communication structure), team characteristics (e.g., member homogeneity, cohesiveness), and task characteristics (e.g., task complexity, task type) to affect team processes such as coordination, communication and teamwork skills. These team processes, in turn, influence team performance. Additionally, the Salas et. a1. model hypothesizes a dynamic feedback relationship between output and input constructs, suggesting that changes in team performance could change the level of individual commitment. Furthermore, organizational and situational characteristics such as availability of resources and application of reward systems are posited to exert an influence on each of the above processes. The Salas et. al. (1992) model leads to several recommendations for the researcher who hopes to relate organizational commitment with group or team performance. Specifically, researchers cannot examine the relationship between individuals' affective states in isolation and group performance and expect significant correlations. Rather, many factors pertaining to the team and environment in which the team is embedded need to be considered. Measures of group performance such as communication, coordination, and cooperation should be included in future studies in order to examine empirically the model proposed by Salas et. a]. (1992). The leader's role in establishing the structure, communication and climate of a voluntary organization may be particularly fruitful. The findings of the present study suggest supervisors within a voluntary organization play a pivotal role in how members view their long-term commitment to the 97 organization. Clearly, the relationship between team performance and individual-level variables such as commitment is not as simple as research has hypothesized it to be. By adapting a broader perspective such as that proposed by the team effectiveness literature, future research on organizational commitment need not be limited to only individual level outcomes. Theoretical Implisatigns Past research has too often looked at either the antecedents of commitment, or the outcomes, but not both concurrently (e.g., Dornstein & Matalon, 1989; Meyer et al., 1989; Rusbult & Farrell, 1983). The present study examined a testable model of the relationships between antecedent variables, organizational commitment, individual-, and group-level outcomes. Data collected from the voluntary organizations used in this study support the hypothesis concerning the mediation of organizational commitment between antecedents and individual-level outcome variables. Although this may seem an intuitive finding, it is a useful conceptual addition to the organizational commitment literature. The data fails to support two components of the model, however. Specifically, the data supported neither the proposed classification of antecedents nor the hypothesized mediating relationship between organizational commitment, individual-level outcome variables, and group-level outcome variables. Figure 2 presents a new model of organizational commitment based upon the findings in the present study. The antecedents used in this revised model continue to be categorized according to Steers' (1977) classification based upon work context. 98 The new model reflects the direct effect of the antecedents upon attendance, turnover intentions, and perceived effort. Although group outcomes are included in Figure 2, based on the results of the present study as well as the literature on team effectiveness, no direct paths are indicated between these variables and commitment or individual-level outcomes. Industrial/organizational psychological research examining the influences on performance in voluntary organizations is sparse. The present study examined whether past research on organizational commitment would generalize to voluntary organizations. The answer to this question is a qualified "yes". Several of the findings in the present study of voluntary organizations replicate previous findings in traditional work organizations. For example, antecedents which have been shown to have a strong relationship to commitment in past research have a strong relationship in this study and commitment was shown to relate to individual-level outcome variables. However, the distinctiveness of voluntary organizations is demonstrated by an examination of the findings regarding the organizational commitment construct. All recent commitment research has examined two components of commitment -- affective and continuance commitment. As expected, volunteers in the present study were more influenced by affective than continuance commitment. However, continuance commitment was significantly predicted by job-related self-efficacy and opportunities for reward. 99 Figure 2 The Revised Model LEPC Performance Perceived Effort Expanded Organizational Commi tment ’- lnte ntions to Turnover Affective Continuance Attendance Person Job Work Goal Identification Leadership Variables Role Ambiguity Role Conflict Community Support Evacuation Experience Job-related Self- Efficacg Subcommittee Struct. Perceived Opportunity for Reward 100 The opportunities for reward scale was mainly composed of items assessing intrinsic rewards (e.g., "You will feel better about yourself as a person"). Thus, in the present study it seems that continuance commitment resulted from the belief that one could adequately perform the volunteer tasks combined with perceptions of intrinsic reward as a result of performance. This is in contrast to the traditional conception of continuance commitment, which is viewed as the result of extrinsic motivation to remain in the organization. Future research examining continuance commitment should emphasize intrinsic rewards as well as extrinsic motivations. Practisal Implications Voluntary organizations face a constant struggle in their attempt to recruit new and maintain current members. The present study suggests volunteers who are committed to their organization have increased attendance and decreased turnover intentions. These highly committed volunteers further report exerting greater effort on behalf of the organization. The present study suggests several steps a voluntary organization might take to positively influence the commitment of its members. First, the organization should help stimulate intrinsic rewards by promoting the benefits of membership. The opportunity to learn new things, the opportunity to interact with people of similar interests, and feeling better about oneself are all rewards that can be gained through voluntarism which might be emphasized to members. The organization should also attempt to increase motivation through the promotion of public recognition for its employees. A clear statement of organizational 101 goals may be useful in stimulating volunteers' identification with organizational objectives, which in turn may increase commitment. How is the organization supposed to communicate all of this to its volunteer members? The present study suggests the type of leadership within the organization is a key component of the promotion of organizational commitment. The data showed leadership which incorporates a high degree of communication, coordination, and initiating-structure is positively related to 3 AM“ 1""‘".. organizational commitment. The leader, or immediate supervisor, within an organization may be the best person to provide the type of environment (high in communication, consideration, and clear structure) necessary to facilitate an identification of organizational goals and perceptions of the available of personal rewards. Finally, a voluntary organization which hopes to promote commitment among its volunteers should consider the significant positive relationship between job-related self-efficacy and commitment. In order to promote self-efficacy the organization could either choose to classify volunteers into jobs for which they are best suited, or train volunteers to perform jobs which are most needed. Both strategies are likely to increase self-perceptions of competence in the individuals who perform the jobs, and thus increase organizational commitment. Study Limitations Consideration of several limitations of the present study is warranted. First, although the present study sought to examine the generalizability of the organizational commitment literature to 102 voluntary organizations, the volunteer organizations used in the present study were all of a single type: Local Emergency Planning Committees. Stronger arguments for the generalizability of the present results could be made if members of several types of volunteer organizations (e.g., American Red Cross, United Way, crisis hotlines, etc.) were utilized. A further limitation of this sample is that Local Emergency Planning Committees are volunteer organizations in a special sense. In 1986 passage of SARA Title III by the United States Congress required chemical emergency planning by all communities. Communities nationwide responded by forming LEPCs, which are generally composed of local officials and other professionals in the community. These volunteers are likely to be very different from members of other volunteer organizations. Indeed, since many of the LEPC members are themselves professionals, they are likely to be more demographically similar to the individuals examined in traditional work organizations than to typical members of volunteer organizations. A second possible limitation of the present study concerns the respondents themselves. Although respondents were similar to non- respondents on demographic characteristics, there was a slight overrepresentation of members from successful LEPCs. To the degree that members from successful LEPCs are unrepresentative of the "average" LEPC member, the results of the present study may be questioned. Since many of the variables used in the present study were measured by subjects' responses to items on Likert-type scales, the 103 potential influence of method variance should also be considered as a possible limitation. Method variance can bias results by artificially inflating the observed correlations between variables. Kozlowski and Doherty (1989) suggested that examination of variable intercorrelations would be helpful in determining whether method variance due to common source and format similarity is problematic in a particular study. If variables which are theoretically dissimilar correlate highly, evidence of method variance exists. Examination of the intercorrelation matrix in Table 5 indicates that conceptually distinct variables are not highly correlated. Indeed, in several cases variables which were hypothesized to be theoretically related are modestly correlated at best! Kozlowski and Doherty (1989) further assert that in order to demonstrate independence among conceptual domains, scales can be submitted to a principal-axis factor analysis. If method variance is problematic, this analysis would yield a single global factor. As demonstrated by the test of Hypothesis 1, the variables in the present study do not form a single factor. Although method variance cannot be completely ruled out as a possible explanation for the obtained results, these analyses suggest that method variance is not a likely explanation for the results in the present study. Fntnrs Rssearch Dirsctions Sample limitations in the present study precluded a resolution of several interesting questions. Future research which includes a larger sample of individuals from each organization would enable an examination of the influence of aggregated commitment, attendance, 104 turnover, and effort on group outcomes. This would perhaps provide a better test of the mediating relationship as presented in Hypothesis 6 than the cross-level analysis performed here. As noted above, future research examining the generalizability of the findings of this study should include members from diverse volunteer organizations. Randall (1988) found that possession of a career job was detrimental to one's organizational commitment in a second job. The possibility that this may be true for organizational commitment to a voluntary organization could not be properly assessed in the present study since nearly all respondents (91%) possessed full-time jobs. Interestingly, LEPCs, as well as other volunteer organizations, deliberately draw their staff from other organizations in order to acquire needed knowledge and skills. Is it better to have volunteer members who hold an outside job or who are not job-holders? Volunteers with full-time jobs may bring needed knowledges and skills to the voluntary organization, while members without full-time jobs may be able to commit greater energy and provide increased flexibility on behalf of the organization. Further research examining whether differences exist between the affective commitment and performance of job holding and non-job holding volunteers could be enlightening. Further research examining the conceptual and measurement characteristics of continuance commitment is also suggested by the present study. Although past research has viewed continuance commitment as resulting from any personal investments which can lead to a threat of loss if an individual were to leave the organization, 105 the measurement of continuance commitment has focussed on external rewards: salary, medical benefits, seniority, etc. The results of the present study suggest continuance commitment is also strongly influenced by the intrinsic rewards which can be gained from organizational membership. The present study serves as a reminder that the domain of Industrial/Organizational Psychology is not limited to traditional work organizations. The findings suggest that although much of the literature on traditional work organizations may generalize to volunteer organizations, the study of these organizations produces some unique findings as well. Industrial/Organizational psychologists should actively pursue the investigation of factors which influence the effectiveness of voluntary organizations. Topics of research which might be particularly well-suited for the investigation of differences between traditional work organizations and voluntary organizations include motivation, climate, and individual difference variables. LIST OF REFERENCES LIST OF REFERENCES Alderfer, C. (1969). An empirical test of a new theory of human needs. Organizationalacbami andHumanRarformanceA. 142- 175. Angle, H. & Perry, J. (1981). An empirical assessment of organizational commitment and organizational effectiveness. A ministr tiv i nce uarterl ,;6_, 1-13. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. PsyehologiealReview,8_4_(2), 191-215. Barrick, M., & Alexander, R. (1987). A review of quality circle efficacy and the existence of positive-finding bias. Persennel Psyehelogx, 4_Q, 579-592. Becker, H. S. (1960). Notes on the concept of commitment. Am ri n Jo rn l f ociolo ,§_6_, 32-42. Bruning, N., & Snyder, R. (1983). Sex and position as predictors of organizational commitment. Aeademy of Management leurnal, 2Q, 485-491. Caldwell, D., Chatman, J., & O'Reilly, C. (1989). Building onganizational eemmitment; A multi-firm study. Unpublished manuscript. Cohen, J. & Cohen, C. (1983). Applied Multiple R r ion rrl i n An I sis f r h B havioral i nces. New Jersey: Lawrence Erlbaum Assoc. Cook, J., Hepworth, 8., Wall, T., & Warr, P. (1981). The Experienee ef werk; A eempendium and review ef 249 measures and therr use. New York: Academic Press. 106 107 Dornstein, M., & Matalon, Y. (1989). A comprehensive analysis of the predictors of organizational commitment: A study of voluntary army personnel in Israel. Journal o_fVoeational Behavier, M, 192-203. Downie, N. & Heath, R. (1970). Basie Statistieal Metheds. New York: Harper and Row. Drabek, T. E. (1986). Human system response to disaster: An inventery ef socielegieal findings, New York: Springer-Verlag. Gersick, C. (1988). Time and transition in work teams: Towards a new model of group development. Academy of Management Review,3l -41. Hackman, J. (1983). A normative medel ef team effeetiveness (Tech. Rep. No. 2). New Haven, CT: Yale University. Hertel, B. (1976). Minimizing error variance introduced by missing data routines in survey analysis. Sociological Methods & Researeh, a, 459-474. James, L. & Brett, J. (1984). Mediators, moderators, and tests for mediation. Jeurnal ef Applied Psyehology,6_9_, 307-321. James, L., & Sells, S. (1981). Psychological climate: Theoretical perspectives and empirical research. In D. Magnusson (Ed.). T w r a s chol of situations: An interac ional ers ec ive. Hillsdale, NJ: Erlbaum. Jones, G. (1986). Socialization tactics, self-efficacy, and newcomer's adjustments to organizations. Academy of Management Jeurnal, p. 262-279. Jones, A., & James, L. (1979). Psychological climate: Dimensions and relationships of individual and aggregated work environment perceptions. r niz ional Behavior and Human Performance, 23, 201-250. Joreskog, K. & Sorbom, D. (1985). LISREL; Analysis of linear structural relatienships by the method ef maximum likeliheed. Chicago: National Education Resources. 108 Kartez, J., & Lindell, M. (1987). Planning for uncertainty: The case of local disaster planning. American Planning Asseciatien Jeurnal, L3, 487-498. Kartez, J., & Lindell, M. (1990). Adaptive planning for community disaster response. In R. Sylves and W. Waugh, Jr. (Eds.) Cities and Disaster: North American Studies i_n_ Emergency Management. Springfield, 11: Charles C. Thomas. Katz, D. The motivational basis or organizational behavior. Beuayieral Seienee,9_, 131-133. Kozlowski, S. & Doherty, M. (1989). Integration of climate and leadership: Examination of a neglected issue. Jeurnal Qt: Applied Psyehology, 73, 546-553. Lawler, E. & Camman, C. (1980). Organizatt'enal assessment; Berspeetives n h r m n r niz ion i the quality of wetk life. New York: Wiley Ledford, G., Lawler, E., III, & Mohrman, S. (1988). The quality circle and its variations. In J. P. Campbell, J. R. Campbell, and Associates, Preductivity in organizations: New perspectives frem industrial and erganizational psychology, p 293-327. San Francisco: Jossey-Bass. Lee, T. & Mowday, R. (1987). Voluntarily leaving an organization: An empirical investigation of Steer's and Mowday's model of turnover. Aeademy ef Management Jeurnal,1Q, 721-743. Lindell, M. & Meier, M. (in press). Effectiveness of community planning for toxic chemical emergencies. Journal of the American Planning Association. Lindell, M. & Perry, R. (1992). Behavieral foundations of community emergency planning. Washington DC: Hemisphere Press. 109 Lindell, M. & Whitney, D. (in press). Effects of organizational environment, internal structure and team climate on the effectiveness of Local Emergency Planning Committees. Risk Analysis. Mahoney, J., & Pechura, C. (1980). Values and volunteers: Axiology of altruism in a crisis center. Psycholegical Reports, fl, 1007- 1012. Major, D. (1990). Diffrnil ff 5 f in r ion on n proaction on organizational socialization outcomes. Unpublished master's thesis. Michigan State University, E. Lansing, MI. Mathieu, J., & Zajac, D. (1990). A review and meta-analysis of the antecedents, correlates, and consequences of organizational commitment. Psyehologieal Bulletin, 108(2), 171-194. McFarlane-Shore, L. & Martin, H. (1989). Job satisfaction and organizational commitment in relation to work performance and turnover intentions. Human Relations, 912(7), 625-638. McFarlane-Shore, L., Newton, L., & Thornton 111, G. (1990). Job and organizational attitudes in relation to employee behavioral intentions. n l f r nizat' l B h vi r, _1_1_, 57-67. Meyer, J., & Allen, N. (1984). Testing the "side bet theory" of organizational commitment: Some methodological considerations. Jeurnal o_f Applied Psyehologi. $6), 372-378. Meyer, J., Paunonen, S., Gellatly, I., Goffin, R., & Jackson, D. (1989). Organizational Commitment and Job performance: It's the nature of the commitment that counts. Journal o_prplied Psyeholegy, 14(1), 152-156. Morgan, B., Jr., Glickman, A., Woodard, E., Blaiwes, A., & Salas, E. (1986). Measurement of team behaviors in LNavy envirenment (Tech. Rep. No. NTSC TR-86-014). Orlando, FL: Naval Training Systems Center. Mowday, R., Steers, R., & Porter, L. (1979). The measurement of organizational commitment. Journal of Vocational Behavior. 14. 224-247. 110 Mowday, R., Porter, L., & Steers, R. (1982). Employee-erganizatienal linkages. New York: Academic Press. National Response Team (1987). Hazardeus Materials Emergeney Planning Guide. Washington, D.C.: Author. O'Reilly III, C., & Chatman, J. (1986). Organizational commitment and psychological attachment: The effects of compliance, identification, and internalization on prosocial behavior. Jeurnal pf Applied Psyehelegy. ]_1(3), 492-499. Parasuraman, S., & Nachman, S. (1987). Correlates of organizational and professional commitment. Group & Organization Studies, Q6), 287-303. Pearce, J. (1983). Job attitude and motivation differences between volunteers and employees from comparable organizations. Jeurnal of Applied Psyehology,_6_8_, 646-652. Porter, L., Steers, R., Mowday, R., & Boulian, P. (1974). Organizational commitment, job satisfaction, and turnover among psychiatric technicians. Journal of Applied Psychology,5_9(5), 603-609. Randall, D. (1988). Multiple roles and organizational commitment. Jeurnal _o_f Organizatienal Behavior, 2, 309-317. Ritzer, G. & Trice, H. (1969). An empirical study of Howard Becker's side-bet theory. SneialEerees,_1_6_, 172-186. Rizzo, J., House, R., & Lirtzman, S. (1970). Role conflict and ambiguity in complex organizations. Administrative Science Quarterly, L5, 150-163. Rusbult, C., & Farrell, D. (1983). A longitudinal test of the investment model: The impact on job satisfaction, job commitment, and turnover variations in rewards, costs, alternatives, and investments. Journal of Applied Psychology, 68(3), 429-438. . 111 Salas, E., Dickinson, T., Converse, S., & Tannenbaum, S. (1992). Toward an understanding of team performance and training. In R.W. Swezey & E. Salas (Eds.), Teams: Their ainin an performance, (p. 3-29). Norwood, NJ: ABLEX. Schriesheim, C., & Von Glinow, M. (1977). The path-goal theory of leadership: A theoretical and empirical analysis. Academy ef Management Jeutna1,2fl, 398-405. Spector, P. (1987). Method variance as an artifact in self-reported affect and perceptions at work: Myth or significant problem? Journal of Applied Psychology, 22(3), 438-443. Steers, R. (1977). Antecedents and outcomes of organizational commitment. Administrative Seienee Quarterly, 2;, 46-56. Steers, R., & Porter, L. (1987). The nature of motivation. In R. Steers and L. Porter (Eds.). Metivation and Work Behavier (4th Ed). New York: McGraw-Hill. Stogdill, R. (1963). Manual for the Leader Behavior Description Questionnaire - Form XII: An experimental revision. Bureau of Business Research, Ohio State University, Columbus, Ohio. Szilagyi, A., & Keller, R. (1976). A comparative investigation of the Supervisor Behavior Description Questionnaire (SBDQ) and the revised Leader Behavior Description Questionnaire (LBDQ - Form XII). Aeademy of Management Journal, 19, 642-649. Szilagyi, A., Sims, H., & Keller, R. (1976). Role dynamics, locus of control, and employee attitudes and behavior. Aeademy of Management Journal,fl, 259-276. U. S. Environmental Protection Agency (1988). Review ef Emergeney stems: R or 0 Con ress. Washington, D.C.: Author. Valenzi, E., & Dessler, G. (1978). Relationships of leader behavior, subordinate role ambiguity and subordinate job satisfaction. Academy of Management Journal, 2_l, 671-678. 112 Vandenberg, R., & Seo, J. (1991, April). A eemparisen ef the internalizatien and eempliance seales with the erganizational eemtnttment guestiennaire. Paper presented at the meeting of the Society for Industrial and Organizational Psychology, St. Louis, MO. APPENDIX A Scales Used in the Study 1 l 3 APPENDIX A Q 'I I I! . I I Affective Commitment Directions: Indicate your level of agreement to each of the following statements concerning your LEPC. Record all answers on the blank to the left of each statement. Use the following scale: I do not feel ”emotionally attached" to this LEPC. This LEPC has a great deal of personal meaning for me. I feel a strong sense of belonging to my LEPC. ., . I do not feel like "part of the family" at this LEPC. 3'; I would be very happy to spend the rest of my career at this LEPC. I enjoy discussing my LEPC with people outside it. I really feel as if this LEPC's problems are my own. I think I could easily become as attached to another (volunteer) organization as l am to this LEPC. Continuance Commitment 1 2 3 4 5 6 7 "‘ Strongly Strongly : Disagree Agree g Directions: Indicate your level of agreement to each of the following statements concerning your LEPC. Record all answers on the blank to the left of each statement. Use the following scale: 1 2 3 4 5 6 7 Strongly Strongly Disagree Agree Right now, staying with my LEPC is a matter of necessity as much as desire. It would be very hard for me to leave my LEPC right now, even if I wanted to. Too much in my life would be disrupted if i left my LEPC now. It wouldn't be too costly for me to leave my LEPC in the near future. 114 AntecedenLlaflaLIea Goal Identification Directions: Indicate your level of agreement to each of the following statements concerning your LEPC. Record all answers on the blank to the left of each statement. Use the following scale: 1 2 3 4 5 6 7 Strongly Strongly Disagree Agree Emergency planning is useless because circumstances during an actual emergency are likely to be different from what has been planned for. My community is highly vulnerable to toxic chemical hazards. My community is likely to have a major fixed site toxic chemical release in the next 5 years. My community is likely to have a major transportation-related toxic chemical release in the next 5 years. Emergency planning would definitely limit damage to life and property in the event of an actual chemical emergency. Emergency planning requires more time and money than is worthwhile. Chemical disasters can be handled effectively if the community develops emergency response plans. Training through emergency drills and exercises is unlikely to have much impact during an actual disaster. The biggest reason for having an LEPC in my community is because it is required by federal law. Emergency planning is really not necessary considering the small likelihood of a chemical emergency in my community. If all communities in the US had emergency preparedness plans chemical emergencies would cause much less damage in this country. Hazardous chemicals pose a real threat to most communities in this country. 1 1 5 Job-related Self-efficacy Directions: Indicate your level of agreement to each of the following statements concerning your LEPC. Record all answers on the blank to the left of each statement. Use the following scale: 1 2 3 4 5 6 7 Strongly Strongly Disagree Agree My role in the LEPC is well within the scope of my abilities. I have not had problems in adjusting to work in this LEPC. | feel I am overqualified for the work I am doing on the LEPC. In" I have all the technical knowledge I need to deal'with my LEPC work, all I need now is practical experience. I feel confident that my skills and abilities equal or exceed those of my colleagues on the LEPC. My past experiences and accomplishments increase my confidence that I will be able to perform successfully in this LEPC. I could handle a more challenging role than the one I am doing on the LEPC. Professionally speaking, my role in the LEPC exactly satisfies my expectations of myself. My educational background has provided me with the confidence that I can perform my LEPC tasks. __ Skills developed throughout my career have adequately prepared me for my role in the LEPC. LEPC training has given me the assurance that I can accomplish my work goals in the LEPC. Leader Communication Directions: For each of the following, consider the W. Record all answers on the blank to the left of each statement. Use the following scale: 1 2 3 4 5 Not at all To a very great extent To what extent do individuals usually trust statements made by the chairman of your LEPC? To what extent is the chairman willing to listen to your problems? l 1 6 Leader Communication cont'd __ To what extent is the chairman eager to recognize and to reward good performance? To what extent is the chairman friendly and easy to approach? To what extent does the chairman provide timely information? To what extent does the chairman provide accurate answers to your questions? Record all answers on the blank to the left of each statement. Use the following scale: 1 2 3 4 5 Practically never Almost Always How often does the chairman pay attention to what you say? To what extent does the chairman promote good communication with the members of the LEPC? When you talk with the chairman, to what extent does (s)he pay attention to what you're saying? Leader Consideration Directions: To what degree does each of the following statements describe the ehaiunan W? Record all answers on the blank to the left of each statement. Use the following scale: 1 2 3 4 5 Never Always ls friendly and approachable. Does little things to make it pleasant to be a member of the LEPC. Puts suggestions made by LEPC members into operation. Treats all LEPC members as his or her equals. Gives advance notice of changes. Keeps to himself or herself. Looks out for the personal welfare of LEPC members. ls willing to make changes. Refuses to explain his or her action. Acts without consulting the other LEPC members. 1 17 Leader-initiating Structure Directions: Rate the degree to which the W does each of the following. Record all answers on the blank to the left of each statement. Use the following scale: 1 2 3 4 5 Never Always Lets group members know what is expected of them. Encourages the use of uniform procedures. Tries out his or her ideas in the group. Makes his or her attitudes clear to the group. Decides what shall be done and how it will be done. Assigns group members to particular tasks. Makes sure that his or her part in the LEPC is understood by members. Schedules the work to be done. Maintains definite standards of performance. Asks that LEPC members follow standard rules and regulations. Perceived Opportunity for Reward Directions: For each of the following, consider how likely this outcome will result due to your participation as a member of your Local Emergency Planning Committee (LEPC). Record all answers in the blank next to each statement. Use the following scale: 1 2 3 4 5 6 7 Not at all Extremely Likely Likely You will feel better about yourself as a person. You will have an opportunity to develop your skills and abilities. You will be given chances to learn new things. You will get a feeling you've accomplished something worthwhile. You will receive public recognition for your efforts. You will have the opportunity to interact with other people. 1 1 8 Role Ambiguity I feel certain about how much authority I have. Clear, planned goals and objectives exist for my role in the LEPC. I know that l have divided my time properly. I know what my responsibilities are. I know exactly what is expected of me. Explanations are clear of what has to be done. Role Conflict Directions: Complete the following in consideration of W. Record all answers on the blank to the left of each statement. Use the following scale: 1 2 3 4 5 6 7 Very True Very False l have to do things that should be done differently. I receive an assignment without the personnel to complete it. I have to buck a rule or policy in order to carry out an assignment. I work with two or more groups who operate quite differently. I receive incompatible requests from two or more people. _ I do things that are apt to be accepted by one person and not accepted by others. I receive an assignment without adequate resources and materials to execute it. I work as directed on unnecessary things. Wrinkles Attendance Directions: Indicate your level of agreement to each of the following statements concerning your LEPC. Record all answers on the blank to the left of each statement. Use the following scale: 1 2 3 4 5 6 7 Strongly Strongly Disagree Agree I never miss the meetings of my LEPC. I am always on time when the meetings of the LEPC start. I never leave the meetings of the LEPC early. I am often absent from LEPC meetings. l 1 9 Perceived Effort Directions: Indicate your level of agreement to each of the following statements concerning your LEPC. Record all answers on the blank to the left of each statement. Use the following scale: 1 2 3 4 5 6 7 Strongly Strongly Disagree Agree I work to the best of my ability toward achieving the goals of my LEPC. I could work much harder for the LEPC if I really wanted to. When performing LEPC tasks I work harder than I do on my main job. I work harder than most LEPC members to achieve the goals of this LEPC. l exert a great deal of effort toward accomplishing the work of this LEPC. I work hard to to accomplish the mission of my LEPC. Turnover Intentions Directions: Indicate your level of agreement to each of the following statements concerning your LEPC. Record all answers on the blank to the left of each statement. Use the following scale: 1 2 3 4 5 6 7 Strongly Strongly Disagree Agree I plan on staying with my LEPC indefinitely. l'd discontinue serving as a member of my LEPC if it was possible to leave. I plan on quitting serving as as member of this LEPC within the next year. WWW Age: Circle your sex: Male Female l have been a member of this Local Emergency Planning Committee for: months I attend % of the meetings of the LEPC. 120 Which of the following areas of the community do you represent as a member of your Local Emergency Planning Committee? (check all that apply): elected official transportation law enforcement broadcast and print media civil defense community groups firefighting facility owner/operator first aid organized labor health education local environmental personnel agriculture hospital personnel Do you have a full-time job? yes no If yes, what is your occupation? Do you have any further comments concerning your LEPC and/or toxic chemical emergency planning that you think might be helpful? "Illllllllllllllllllllll