Effect sizes, confidence intervals, and confidence intervals for effect sizes

By B. Thompson. 2007

380 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c860fa83cc78acc6462e326978e8fc28aebd32c2

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In Experimental and Cognitive Psychology

In Statistics and Probability

Citations in the corpus

Academic Benefits of Peer Tutoring: A Meta-Analytic Review of Single-Case Research (2013, methodology): “Further, confidence intervals are needed for accurate interpretation of effect size data (Cooper, 2011; Hunter et al., 1982; Thompson, 2002, 2007) and are required by the American Psychological Association (APA; American Psychological Association, 2010; Wilkinson & APA Task Force on Statistical…”
Tourism and Economic Growth: A Meta-regression Analysis (2019, background): “Because an effect size is subject to sampling variability (Kaplan, Chambers, and Glasgow 2014), we recommend that researchers also report confidence intervals for sample size effects (B. Thompson 2002, 2007).”
High School Teachers' Perceptions of Cyberbullying Prevention and Intervention Strategies. (2012, background): “(pp. 41-42) Self-reported rates of adolescent students who are cyberbullied range from 10% of students in the United Kingdom (Smith et al., 2008) to 25% of students in Canada (Li, 2006, 2007).”
Promoting Positive Behavior Using the Good Behavior Game (2016, background): “First, neither reported effect sizes with confidence intervals (CIs); CIs are needed for accurately interpreting effect size data (Cooper, 2011; Thompson, 2007).”
Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (2013, background): “However, these values are arbitrary and should not be interpreted rigidly (Thompson, 2007).”
How to select, calculate, and interpret effect sizes. (2009, methodology): “A p-value that is obtained in a research study is a function of both sample size and ES, and Thompson (2007) offered an excellent demonstration why effects should be calculated irrespective of their p-value.”
Significance tests as sorcery: Science is empirical—significance tests are not (2012, neutral): “…& Tukey, 2000; Kirk, 1996, 2003; Lindsay, 1995; Lykken, 1968, 1991; Meehl, 1967, 1978, 1990; Nunnally, 1960; Rosnow & Rosenthal, 1989; Rozeboom, 1960; Schmidt, 1992, 1996; Schmidt & Hunter, 1997; Sedlmeier & Gigerenzer, 1989; Skinner, 1972; Thompson, 1996, 1999, 2002, 2006, 2007; Tukey, 1991).”
Identifying attrition risk based on the first year experience (2018, background): “However, the risk estimation should not be over-interpreted (Thompson, 2007).”
A Comprehensive Review of Effect Size Reporting and Interpreting Practices in Academic Journals in Education and Psychology. (2010, methodology): “These two approaches are also recommended by Kline (2004) and Thompson (2002b, 2007, 2008).”
Un sistema de clasificación de los diseños de investigación en psicología (2013, background): “…escaso uso de los intervalos de confianza tanto para los estimadores de las pruebas estadísticas como para los tamaños del efecto (véase Kelley & Preacher, 2012, Thompson, 2007), y (d) la falta de integración entre las pruebas de significación estadística y los indicadores de magnitud del efecto.”
A Communication Researchers' Guide to Null Hypothesis Significance Testing and Alternatives. (2008, background): “Such rules of thumb, however, are arbitrary, and the meaning of a finding depends on a number of contextual considerations (cf. Thompson, 2007).”