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Multivariate Behavioral Research|January 21, 2016
Power Analysis in Covariance Structure Modeling Using GFI and AGFIR C MacCallum, S HongMultivariate Behavioral Research|January 30, 2016
Sample Size in Factor Analysis: The Role of Model ErrorR C MacCallum, K F Widaman, K J Preacher, et al.Multivariate Behavioral Research|January 23, 2016
The Need for Alternative Measures of Fit in Covariance Structure ModelingR C MacCallumPsychological Bulletin|November 1, 1993
The use of causal indicators in covariance structure models: some practical issuesR C MacCallum, M W BrowneMultivariate Behavioral Research|January 19, 2016
Some Factors Affecting the Success of Specification Searches in Covariance Structure ModelingE S Silvia, R C MacCallumAnnual Review of Psychology|February 7, 2001
Applications of structural equation modeling in psychological researchR C MacCallum, J T AustinPsychological Bulletin|May 1, 1992
Model modifications in covariance structure analysis: the problem of capitalization on chanceR C MacCallum, M Roznowski, L B NecowitzThe Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|October 1, 1998
Stress exacerbates age-related decrements in the immune response to an experimental influenza viral infectionD A Padgett, R C MacCallum, J F SheridanPsychology and Aging|September 1, 1995
Recurrent syndromal depression in caregiversE M Redinbaugh, R C MacCallum, J K Kiecolt-GlaserNeuroendocrinology|October 1, 1995
Hormonal modulation of Epstein-Barr virus replicationR Glaser, L A Kutz, R C MacCallum, et al.Pageof 265