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      Relationship between work–family conflict and turnover intention in nurses: A meta‐analytic review

      1 , 2 , 3
      Journal of Advanced Nursing
      Wiley

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          Bias in meta-analysis detected by a simple, graphical test

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            Quantifying heterogeneity in a meta-analysis.

            The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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              Conducting Meta-Analyses inRwith themetaforPackage

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                Author and article information

                Contributors
                Journal
                Journal of Advanced Nursing
                J Adv Nurs
                Wiley
                0309-2402
                1365-2648
                August 2021
                April 14 2021
                August 2021
                : 77
                : 8
                : 3317-3330
                Affiliations
                [1 ]Faculty of Economics Department of Management Istanbul University Istanbul Turkey
                [2 ]Ömer Seyfettin Faculty of Applied Sciences Bandırma Onyedi Eylül University Bandırma/Balıkesir Turkey
                [3 ]Brunel University London Uxbridge UK
                Article
                10.1111/jan.14846
                33855744
                7acc13c5-0812-4afb-a318-d9417f3a74ff
                © 2021

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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