The link between employee attitudes and employee effectiveness: Data matrix of meta-analytic estimates based on 1161 unique correlations

This article offers a correlation matrix of meta-analytic estimates between various employee job attitudes (i.e., Employee engagement, job satisfaction, job involvement, and organizational commitment) and indicators of employee effectiveness (i.e., Focal performance, contextual performance, turnover...

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Main Author: Michael M. Mackay
Format: Article
Language:English
Published: Elsevier 2016-09-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340916305017
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spelling doaj-18048dc5cb9d48d5abdf13d895aea1c12020-11-24T21:47:21ZengElsevierData in Brief2352-34092016-09-01813911394The link between employee attitudes and employee effectiveness: Data matrix of meta-analytic estimates based on 1161 unique correlationsMichael M. Mackay0The University of Memphis, United StatesThis article offers a correlation matrix of meta-analytic estimates between various employee job attitudes (i.e., Employee engagement, job satisfaction, job involvement, and organizational commitment) and indicators of employee effectiveness (i.e., Focal performance, contextual performance, turnover intention, and absenteeism). The meta-analytic correlations in the matrix are based on over 1100 individual studies representing over 340,000 employees. Data was collected worldwide via employee self-report surveys. Structural path analyses based on the matrix, and the interpretation of the data, can be found in “Investigating the incremental validity of employee engagement in the prediction of employee effectiveness: a meta-analytic path analysis” (Mackay et al., 2016) [1]. Keywords: Meta-analysis, Job attitudes, Job performance, Employee, Engagement, Employee effectivenesshttp://www.sciencedirect.com/science/article/pii/S2352340916305017
collection DOAJ
language English
format Article
sources DOAJ
author Michael M. Mackay
spellingShingle Michael M. Mackay
The link between employee attitudes and employee effectiveness: Data matrix of meta-analytic estimates based on 1161 unique correlations
Data in Brief
author_facet Michael M. Mackay
author_sort Michael M. Mackay
title The link between employee attitudes and employee effectiveness: Data matrix of meta-analytic estimates based on 1161 unique correlations
title_short The link between employee attitudes and employee effectiveness: Data matrix of meta-analytic estimates based on 1161 unique correlations
title_full The link between employee attitudes and employee effectiveness: Data matrix of meta-analytic estimates based on 1161 unique correlations
title_fullStr The link between employee attitudes and employee effectiveness: Data matrix of meta-analytic estimates based on 1161 unique correlations
title_full_unstemmed The link between employee attitudes and employee effectiveness: Data matrix of meta-analytic estimates based on 1161 unique correlations
title_sort link between employee attitudes and employee effectiveness: data matrix of meta-analytic estimates based on 1161 unique correlations
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2016-09-01
description This article offers a correlation matrix of meta-analytic estimates between various employee job attitudes (i.e., Employee engagement, job satisfaction, job involvement, and organizational commitment) and indicators of employee effectiveness (i.e., Focal performance, contextual performance, turnover intention, and absenteeism). The meta-analytic correlations in the matrix are based on over 1100 individual studies representing over 340,000 employees. Data was collected worldwide via employee self-report surveys. Structural path analyses based on the matrix, and the interpretation of the data, can be found in “Investigating the incremental validity of employee engagement in the prediction of employee effectiveness: a meta-analytic path analysis” (Mackay et al., 2016) [1]. Keywords: Meta-analysis, Job attitudes, Job performance, Employee, Engagement, Employee effectiveness
url http://www.sciencedirect.com/science/article/pii/S2352340916305017
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