M. V. van Assen, O. R. van den Akker, Hilde E. M. Augusteijn, Marjan Bakker, Michèle B. Nuijten, Anton Olsson-Collentine, Andrea H. Stoevenbelt, J. Wicherts, Robbie C. M. van Aert
{"title":"的Meta-Plot","authors":"M. V. van Assen, O. R. van den Akker, Hilde E. M. Augusteijn, Marjan Bakker, Michèle B. Nuijten, Anton Olsson-Collentine, Andrea H. Stoevenbelt, J. Wicherts, Robbie C. M. van Aert","doi":"10.1027/2151-2604/a000513","DOIUrl":null,"url":null,"abstract":"Abstract. The meta-plot is a descriptive visual tool for meta-analysis that provides information on the primary studies in the meta-analysis and the results of the meta-analysis. More precisely, the meta-plot portrays (1) the precision and statistical power of the primary studies in the meta-analysis, (2) the estimate and confidence interval of a random-effects meta-analysis, (3) the results of a cumulative random-effects meta-analysis yielding a robustness check of the meta-analytic effect size with respect to primary studies’ precision, and (4) evidence of publication bias. After explaining the underlying logic and theory, the meta-plot is applied to two cherry-picked meta-analyses that appear to be biased and to 10 randomly selected meta-analyses from the psychological literature. We recommend accompanying any meta-analysis of common effect size measures with the meta-plot.","PeriodicalId":263823,"journal":{"name":"Zeitschrift für Psychologie","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Meta-Plot\",\"authors\":\"M. V. van Assen, O. R. van den Akker, Hilde E. M. Augusteijn, Marjan Bakker, Michèle B. Nuijten, Anton Olsson-Collentine, Andrea H. Stoevenbelt, J. Wicherts, Robbie C. M. van Aert\",\"doi\":\"10.1027/2151-2604/a000513\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. The meta-plot is a descriptive visual tool for meta-analysis that provides information on the primary studies in the meta-analysis and the results of the meta-analysis. More precisely, the meta-plot portrays (1) the precision and statistical power of the primary studies in the meta-analysis, (2) the estimate and confidence interval of a random-effects meta-analysis, (3) the results of a cumulative random-effects meta-analysis yielding a robustness check of the meta-analytic effect size with respect to primary studies’ precision, and (4) evidence of publication bias. After explaining the underlying logic and theory, the meta-plot is applied to two cherry-picked meta-analyses that appear to be biased and to 10 randomly selected meta-analyses from the psychological literature. We recommend accompanying any meta-analysis of common effect size measures with the meta-plot.\",\"PeriodicalId\":263823,\"journal\":{\"name\":\"Zeitschrift für Psychologie\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Zeitschrift für Psychologie\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1027/2151-2604/a000513\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zeitschrift für Psychologie","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1027/2151-2604/a000513","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract. The meta-plot is a descriptive visual tool for meta-analysis that provides information on the primary studies in the meta-analysis and the results of the meta-analysis. More precisely, the meta-plot portrays (1) the precision and statistical power of the primary studies in the meta-analysis, (2) the estimate and confidence interval of a random-effects meta-analysis, (3) the results of a cumulative random-effects meta-analysis yielding a robustness check of the meta-analytic effect size with respect to primary studies’ precision, and (4) evidence of publication bias. After explaining the underlying logic and theory, the meta-plot is applied to two cherry-picked meta-analyses that appear to be biased and to 10 randomly selected meta-analyses from the psychological literature. We recommend accompanying any meta-analysis of common effect size measures with the meta-plot.
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