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TESTING A MODEL FOR TEACHER BURNOUT (richiedi articolo) Parte 1 | Parte2
Australian Journal of Educational & Developmental Psychology. Vol 3, 2003, pp 35-47 // Jeffrey Dorman - Australian Catholic University

RESULTS

Scale Statistics
Based on the approach described in the preceding section, optimal reliability coefficients (Cronbach Coefficient alpha) were computed for each scale (see Table 3). These results show that all scales had at least satisfactory internal consistency. Indices ranged from .66 for role
ambiguity to .91 for school environment and compared favourably with those reported in previous learning environment and burnout research (e.g. Byrne, 1994; Dorman, Adams, & Ferguson, in press; Dorman et al., 1997; Maslach et al., 1996). Table 3 also shows values for and for each scale which provide a sound basis for examining the postulated structural
model. Means and standard deviations for each scale are also shown in Table 3.


LISREL Analyses
The LISREL analysis of the postulated (initial) model shown in Figure 1 revealed a sound but not outstanding fit to the data. Fit and modification indices shown in Table 4 indicated that better fit might be achieved if one path (self-esteem ¡æ emotional exhaustion) was added to the model. Additionally, two paths (role ambiguity ¡æ self-esteem and role ambiguity ¡æ personal accomplishment) were not statistically significant (¥â =.16 , p = .11 and ¥â = .31, p = .17 respectively). Accordingly, role ambiguity was deleted from the model. Fit indices for this modified model improved with RMSEA reduced to .05. Two further model revisions involving the addition of two paths resulted in significant changes in ¥ö2 (see Table 4). The final model fitted the data very well with an RMSEA of .03 and TLI of 1.00. Structural components of this model with standardized path coefficients are shown in Figure 2. All path coefficients in the final model were statistically significant (p <.05). The strength and direction of these coefficients are plausible. For example, role overload was a strong, positive predictor of work pressure (¥â = .91) which, in turn, positively predicted emotional exhaustion. Self-esteem was negatively related to both emotional exhaustion (¥â = -.37) and depersonalisation (¥â = -.30) but positively related to personal accomplishment (¥â = .22). The strongest negative relationship was between role conflict and school environment (¥â = -1.07). The squared multiple correlation coefficient for the prediction of personal accomplishment (R2) was computed to be .64 which indicates that 64% of variance in personal
accomplishment could be explained by its contributing variables (viz. depersonalisation, selfesteem, teaching efficacy). Similarly, work pressure, classroom environment and self-esteem accounted for 69% of variance in emotional exhaustion. Over 46% of variance in
depersonalisation was attributable to school environment, classroom environment, emotional exhaustion and self-esteem. The coefficient of determination for all structural equations jointly was computed to be .98. That is 98% of variance in the set of dependent variables (viz.
school environment, work pressure, self-esteem, emotional exhaustion, depersonalisation and personal accomplishment was explained by the set of independent variables (viz. role overload, role conflict, classroom environment, teaching efficacy and external locus of control). Overall, Figure 2 provides a comprehensive structural model for burnout based on the data collected in the present study.


DISCUSSION
The results of this study can be discussed in terms of both the full model and specific organizational and personality variables. Holistically, the results support, to some degree, the burnout models for primary, intermediate and secondary school teachers developed by Byrne (1994). Those models involved role conflict, work overload, classroom climate, decision making, peer support, self-esteem and external locus of control as predictors of the same three burnout dimensions of the present study: emotional exhaustion, depersonalisation and personal accomplishment. However, differences in model structure among these three levels of schooling were evident. For example, Byrne found that external locus of control was a predictor of one burnout dimension (viz. personal accomplishment) for secondary teachers only. In the present study, the burnout predictors were role overload, role conflict, classroom environment, school environment, work pressure, teaching efficacy, self-esteem and external locus of control. It is particularly noteworthy that while role ambiguity was included in the present study as a possible burnout predictor, this variable was deleted from the final model.

This is consistent with Byrne’s findings. Clearly, role ambiguity is not a significant predictor of burnout and its retention in future modelling is questionable. One point of contrast between Byrne’s research and the present study concerns the number of statistically significant paths. While Byrne found six statistically significant paths common to all three types of school teachers, the present study identified 12 such paths. While this difference could be due to the additional variables included in the present study (e.g. school
environment, work pressure, teaching efficacy), it could also be due to two other characteristics of the present study: improved instrumentation and the data modelling approaches employed. The classroom and school environment scales were based on the latest
instrumentation in learning environment research. Teaching efficacy was assessed with a well-validated scale developed by Midgley et al. (1997). In addition, data modelling involved congeneric measurement models that maximized reliabilities and facilitated the fixing of path
loadings and error variances for observed variables in structural equation modelling.

With regard to the organizational variables that impacted on teacher burnout, role overload was a potent variable. It influenced work pressure and subsequently emotional exhaustion. Clearly, teachers who experience significant role overload reported high levels of work
pressure and this pressure leads to increased levels of emotional exhaustion. Role conflict was also a potent negative predictor of school environment which, in turn predicted negatively depersonalisation. While Byrne’s model did not include school environment as a possible predictor or mediating variable of burnout, it did find that role conflict influenced depersonalisation in secondary teachers only. That role conflict influences negatively teachers’ perceptions of overall school environment is not surprising. If teachers are confused
about their work demands, they are not likely to report a positive overall working environment. The negative relationship between school environment and depersonalisation supports the finding of the only study linking school environment and burnout in Australian
and Singaporean schools (see Ball, Moselle, & Fraser, 1995). In that study, significant associations were found between six of the seven dimensions of the School-Level Environment Questionnaire (SLEQ) (Fraser, 1994) and depersonalisation. Positive school environments were associated with reduced levels of depersonalisation.
The final organizational variable, classroom environment was found to have significant negative relationships with emotional exhaustion and depersonalisation. While this finding supports Byrne’s contention that classroom environment is a key nomological predictor of
burnout, it should be noted that the present study used a set of items with a Cronbach Coefficient alpha of .80 from the WIHIC – an instrument developed within contemporary learning environment research (see Fraser, 1998). Byrne used Bacharach, Bauer and Conley’s
(1986) Classroom Environment Scale which reported a Cronbach Coefficient alpha of .60. It is recommended that future burnout research employ scales that have been developed within the generally accepted framework for studying classroom environments.
The three personality variables, teaching efficacy, external locus of control and self-esteem were all predictors of personal accomplishment. However, while teaching efficacy has a significant direct effect on personal accomplishment and an indirect effect via self-esteem, external locus of control had only an indirect negative effect via self-esteem. Clearly, teachers with an elevated external locus of control tended to have reduced self-esteem which then reduced personal accomplishment. Additionally, self-esteem had significant negative effects on emotional exhaustion and depersonalisation. These effects are highly plausible.
Finally, it is clear that the present modelling supports the hypothesized intraburnout relationships of emotional exhaustion influencing positively depersonalisation which subsequently influences negatively personal accomplishment. It is noteworthy that the direction and strength of these relationships are consistent with those reported by Byrne (1994) for intermediate and secondary school teachers.

CONCLUSION
The issue of teacher burnout is very important to schools and school systems. For too long, teacher burnout has been explained largely in terms of individual teacher personality characteristics. Such a narrow set of predictors has suited employers who do not wish to accept any moral or legal responsibility for burning out teachers through poor organizational and managerial processes. The present research focused on both organizational variables and personality factors of individual teachers. It has reported the validation of a nomological
network of burnout for teachers by building upon and extending prior research in the burnout area, principally the work of Byrne (1994).

This Australian research needs to be complemented by further research in Western countries so that a widely generalizable model for teacher burnout can be developed and a theory of teacher burnout firmly established. One direction for future research would be the validation of the model of teacher burnout postulated recently by Maslach and Leiter (1999). In this elaborate model, political, policy
and economic contexts, school ecology, task qualities (the work of teachers), organizational characteristics and teacher person qualities combine to predict burnout. Consequences of burnout are teacher behaviour which influences student perceptions and evaluation, and
subsequent student behaviours and outcomes. While it might be desirable to have simple solutions to the teacher burnout issue, the reality is that, as Maslach (1999) suggests, such a complex social phenomenon will require complex solutions.


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