Beyond Significance Testing: Statistics Reform in the Behavioral Sciences

By Rex Bryan Kline. 2013

312 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7444fb41dcae724ae5c7852208be5560cabeacbc

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In Statistics and Probability

Citations in the corpus

Assessing statistical aspects of test fairness with structural equation modelling (2013, background): “way to describe test bias is to say that it happens when people from two different groups who have the same observed test score do not have the same status on the latent variable (trait, hypothetical construct) that the test is supposed to measure. It is important to understand that use of a test in”
Humor in the classroom: the effects of integrated humor on student learning (2018, background): “As Kline (2013) noted, less than 1% of published studies in the behavioral sciences feature a replication study even though replication allows researchers to more confidently generalize their findings beyond an initial sample.”
Response to Leslie Hayduk’s Review of Principles and Practice of Structural Equation Modeling, 4th Edition (2018, background): “There is also ample evidence that most researchers do not understand p-values (Kline 2013).”
Your Chi-Square Test Is Statistically Significant: Now What?. (2015, unknown): “According to Lancaster (1949), the sum of the chisquare obtained values for appropriately collapsed subtables will equal the chi-square obtained value for the contingency table as a whole.”
The Mediation Myth (2015, background): “Significance testing is increasingly criticized in psychology, education, economics, and other disciplines as unscientific and unempirical (Kline, 2013; Lambdin, 2012).”
Statistical and Practical Concerns With Published Communication Research Featuring Structural Equation Modeling (2017, background): “…p value generated in statistical significance testing is glorified by too many communication researchers, who overemphasize p values despite the growing controversy in the behavioral and other sciences about significance testing (see Kline, 2013; Levine, Weber, Hullett, Park, & Lindsey, 2008).”
Experimental Evidence from Causal Criteria Analysis for the Effects of Common Carp Cyprinus carpio on Freshwater Ecosystems: A Global Perspective (2015, methodology): “…of experiment and fish age; using an Euclidean distance, 9999 permutations of the residuals were run under a reduced model, with statistical effects (including a posteriori pair-wise comparisons) evaluated at a D 0.10 for heuristic purposes and because of the low sample sizes (Kline, 2013).”