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Psychological Methods|April 1, 2021
The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional formsNjål Foldnes, Steffen GrønnebergPsychological Methods|March 11, 2009
Estimating standardized linear contrasts of means with desired precisionDouglas G BonettPsychological Methods|March 11, 2009
Reporting practices in confirmatory factor analysis: an overview and some recommendationsDennis L Jackson, J Arthur Gillaspy, Rebecca Purc-StephensonPsychological Methods|March 11, 2009
Effect sizes for growth-modeling analysis for controlled clinical trials in the same metric as for classical analysisAlan FeingoldPsychological Methods|December 13, 2006
Sample size planning for the standardized mean difference: accuracy in parameter estimation via narrow confidence intervalsKen Kelley, Joseph R RauschPsychological Methods|December 13, 2006
When effect sizes disagree: the case of r and dRobert E McGrath, Gregory J MeyerPsychological Methods|June 15, 2007
Reconsidering formative measurementRoy D Howell, Einar Breivik, James B WilcoxPsychological Methods|June 15, 2007
Interpretational confounding is due to misspecification, not to type of indicator: comment on Howell, Breivik, and Wilcox (2007)Kenneth A BollenPsychological Methods|September 6, 2007
Hierarchical modeling of sequential behavioral data: examining complex association patterns in mediation modelsGetachew A Dagne, C Hendricks Brown, George W HowePsychological Methods|September 10, 2008
A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modelingMike W-L CheungPageof 123