Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
