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Sex Differences in Distress From Infidelity in Early Adulthood and in Later Life : A Replication and Meta-Analysis of Shackelford et al. (2004)

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      Abstract

      Shackelford and colleagues (2004) found that men, compared to women, are more distressed by sexual than emotional infidelity, and this sex difference continued into older age. We conducted four high-powered replications (total N = 1,952) of this effect and found different results. A meta-analysis of original and replication studies finds the sex difference in younger samples (though with a smaller effect size), and no effect among older samples. Furthermore, we found attitude toward uncommitted sex to be a mediator (although not consistently in the same direction) between participant sex and relative distress between sexual and emotional infidelity. We hypothesize that the discrepancies between the original and replication studies may be due to changing cultural attitudes about sex across time. Confirming this speculative interpretation requires further investigation.

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      Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models

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        A power primer.

         Todd J. Cohen (1992)
        One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
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          Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?

          Amazon's Mechanical Turk (MTurk) is a relatively new website that contains the major elements required to conduct research: an integrated participant compensation system; a large participant pool; and a streamlined process of study design, participant recruitment, and data collection. In this article, we describe and evaluate the potential contributions of MTurk to psychology and other social sciences. Findings indicate that (a) MTurk participants are slightly more demographically diverse than are standard Internet samples and are significantly more diverse than typical American college samples; (b) participation is affected by compensation rate and task length, but participants can still be recruited rapidly and inexpensively; (c) realistic compensation rates do not affect data quality; and (d) the data obtained are at least as reliable as those obtained via traditional methods. Overall, MTurk can be used to obtain high-quality data inexpensively and rapidly.
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            Author and article information

            Affiliations
            [ 1 ] Tilburg University, The Netherlands
            Author notes
            Hans IJzerman, Tilburg University, School of Social and Behavioral Sciences, P64, Warandelaan 2, 5037 AB Tilburg, The Netherlands, h.ijzerman@ 123456uvt.nl
            Journal
            zsp
            Social Psychology
            Hogrefe Publishing
            1864-9335
            2151-2590
            May 2014
            2014
            : 45
            : 3
            : 202-208
            zsp_45_3_202
            10.1027/1864-9335/a000185
            Product
            Self URI (journal-page): https://econtent.hogrefe.com/loi/zsp
            Categories
            Replication
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