ACCOUNTANT'S JOB SATISFACTION: A META-ANALYSIS

The calculation of a population correlation coefficient is important when trying to assess the generalizability of the results of prior research. This paper uses meta-analysis to calculate population correlation coefficients for accountants» job satisfaction with its antecedents, indeterminants and consequences. A total of 16 meta-analyses were carried out for seven antecedents, two indeterminants and one consequence of accountants» job satisfaction. In four of the meta-analyses of samples of all accountants studied, the sampling error variance accounted for all or a large proportion of the variance between the corrected sample correlations and hence the population correlation coefficient could be observed. When the sampling error variance accounted for only a relatively small proportion of the variance between the corrected sample, correlations meta-analyses were carried out, where possible, for sub-groups of accountants working in particular work environments. In one of these subsequent meta-analyses the population correlation coefficient was observed.