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Francesco Innocenti; Math J. J. M. Candel; Frans E. S. Tan; Gerard J. P. van Breukelen – Journal of Educational and Behavioral Statistics, 2024
Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based…
Descriptors: Sample Size, Multivariate Analysis, Error of Measurement, Regression (Statistics)
Domingue, Benjamin W.; Kanopka, Klint; Stenhaug, Ben; Sulik, Michael J.; Beverly, Tanesia; Brinkhuis, Matthieu; Circi, Ruhan; Faul, Jessica; Liao, Dandan; McCandliss, Bruce; Obradovic, Jelena; Piech, Chris; Porter, Tenelle; Soland, James; Weeks, Jon; Wise, Steven L.; Yeatman, Jason – Journal of Educational and Behavioral Statistics, 2022
The speed-accuracy trade-off (SAT) suggests that time constraints reduce response accuracy. Its relevance in observational settings--where response time (RT) may not be constrained but respondent speed may still vary--is unclear. Using 29 data sets containing data from cognitive tasks, we use a flexible method for identification of the SAT (which…
Descriptors: Accuracy, Reaction Time, Task Analysis, College Entrance Examinations
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Bodner, Todd E. – Journal of Educational and Behavioral Statistics, 2016
This article revisits how the end points of plotted line segments should be selected when graphing interactions involving a continuous target predictor variable. Under the standard approach, end points are chosen at ±1 or 2 standard deviations from the target predictor mean. However, when the target predictor and moderator are correlated or the…
Descriptors: Graphs, Multiple Regression Analysis, Predictor Variables, Correlation
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Aloe, Ariel M.; Becker, Betsy Jane – Journal of Educational and Behavioral Statistics, 2012
A new effect size representing the predictive power of an independent variable from a multiple regression model is presented. The index, denoted as r[subscript sp], is the semipartial correlation of the predictor with the outcome of interest. This effect size can be computed when multiple predictor variables are included in the regression model…
Descriptors: Meta Analysis, Effect Size, Multiple Regression Analysis, Models
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Vargha, Andras; And Others – Journal of Educational and Behavioral Statistics, 1996
True effects of the joint dichotomization of two variables are explored, and implications of the correct formulation for generalizations of the results obtained by S. E. Maxwell and H. D. Delaney (1993) are examined. The inflation of apparent effects can occur when only one or two predictor variables is dichotomized. (SLD)
Descriptors: Correlation, Power (Statistics), Predictor Variables, Statistical Significance
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Bonett, Douglas G.; Price, Robert M. – Journal of Educational and Behavioral Statistics, 2005
The tetrachoric correlation describes the linear relation between two continuous variables that have each been measured on a dichotomous scale. The treatment of the point estimate, standard error, interval estimate, and sample size requirement for the tetrachoric correlation is cursory and incomplete in modern psychometric and behavioral…
Descriptors: Correlation, Predictor Variables, Measures (Individuals), Error of Measurement