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Multivariate Behavioral Research|January 8, 2016
Simulating Multivariate Nonnormal Data Using an Iterative AlgorithmJohn Ruscio, Walter KaczetowBehavior Research Methods|June 29, 2023
The comparison data forest: A new comparison data approach to determine the number of factors in exploratory factor analysisDavid Goretzko, John RuscioMultivariate Behavioral Research|January 13, 2016
Differentiating Categories and Dimensions: Evaluating the Robustness of Taxometric AnalysesJohn Ruscio, Walter KaczetowMultivariate Behavioral Research|January 7, 2016
Confidence Intervals for the Probability of Superiority Effect Size Measure and the Area Under a Receiver Operating Characteristic CurveJohn Ruscio, Tara MullenPsychological Assessment|October 5, 2011
Determining the number of factors to retain in an exploratory factor analysis using comparison data of known factorial structureJohn Ruscio, Brendan RocheThe Review of Scientific Instruments|July 3, 2015
Novel comparison of microscopy and diffraction techniques on the structure of iron oxide nanoparticle monolayers transferred by Langmuir-Schaefer methodJacob Stanley, Yeling Dai, Leandra Boucheron, et al.Multivariate Behavioral Research|January 8, 2016
Generalizations and Extensions of the Probability of Superiority Effect Size EstimatorJohn Ruscio, Benjamin Lee GeraPsychological Assessment|June 15, 2007
Detecting small taxa using simulated comparison data: A reanalysis of Beach, Amir, and Bau's (2005) dataJohn Ruscio, David K MarcusClinical Psychology & Psychotherapy|September 4, 2012
Scientific communication in clinical psychology: examining patterns of citations and referencesAndrew M Kiselica, John RuscioPsychological Assessment|December 2, 2009
Using comparison data to differentiate categorical and dimensional data by examining factor score distributions: resolving the mode problemJohn Ruscio, Glenn D WaltersPageof 13