4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Assortative mating and digit ratio (2D:4D): A pre-registered empirical study and meta-analysis

      , , ,
      Early Human Development
      Elsevier BV

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: found
          • Article: not found

          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

            G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Conducting Meta-Analyses inRwith themetaforPackage

                Bookmark

                Author and article information

                Journal
                Early Human Development
                Early Human Development
                Elsevier BV
                03783782
                December 2020
                December 2020
                : 151
                : 105159
                Article
                10.1016/j.earlhumdev.2020.105159
                be7cdddd-2a20-474c-b1a9-c519ed86c0d3
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

                History

                Comments

                Comment on this article