Publication
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Survey Scales: A Guide to Development, Analysis, and Reporting (2016), Johnson & Morgan

Dr. Grant B. Morgan, associate professor, published "Survey Scales: A Guide to Development, Analysis, and Reporting", August 1, 2016, with co-author(s) Dr. Robert L. Johnson, University of South Carolina.

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Generating nonnormal distributions via Gaussian mixture models

Dr. Grant B. Morgan, associate professor, published Generating nonnormal distributions via Gaussian mixture models in Structural Equation Modeling, Vol. 27, Issue 6, p. 974-974, June 1, 2020.

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Temporal Attitudes Profile Transition among Adolescents: A longitudinal Examination using Mover- stayer Latent Transition Analysis (in press)

Dr. Grant B. Morgan, associate professor, published "Temporal Attitudes Profile Transition among Adolescents: A longitudinal Examination using Mover- stayer Latent Transition Analysis" in Psychological Assessment, with co-author(s) Kevin E. Wells, doctoral candidate, James Andretta, Superior Court of the District of Columbia, and Michael McKay, University of Liverpool.

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Examining Differences in Method Effects Related to Negative Wording: An Example Using Rasch Mixture Modeling (in press)

Dr. Grant B. Morgan, associate professor, published "Examining Differences in Method Effects Related to Negative Wording: An Example Using Rasch Mixture Modeling" in Journal of Applied Measurement, October 19, 2016, with co-author(s) Dr. Christine DiStefano, University of South Carolina, and Robert Motl, University of Illinois Urbana-Champaign.

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Latent Profile Analysis with nonnormal Mixtures: A Monte Carlo Examination of Model Selection Accuracy (2016)

Dr. Grant B. Morgan, associate professor, published "Latent Profile Analysis with nonnormal Mixtures: A Monte Carlo Examination of Model Selection Accuracy" in Computational Statistics & Data Analysis, Vol. 93, p. 146-161, January 1, 2016, with co-author(s) Dr. Kari J. Hodge, NACE International, and Aaron R. Baggett, University of Mary Hardin-Baylor.

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Are Fit Indices Biased in Favor of Bi-factor Models in Cognitive Ability research?: A Comparison of Fit in Correlated Factors, Higher-order, and Bi-factor models via Monte Carlo Simulations (2015)

Dr. Grant B. Morgan, associate professor, published "Are Fit Indices Biased in Favor of Bi-factor Models in Cognitive Ability research?: A Comparison of Fit in Correlated Factors, Higher-order, and Bi-factor models via Monte Carlo Simulations" in Journal of Intelligence, Vol. 3, p. 2-20, July 1, 2015, with co-author(s) Dr. Kari J. Hodge, NACE International, Kevin E. Wells, doctoral candidate, and Dr. Marley W. Watkins, non-resident scholar.

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An Investigation of Growth Mixture Models for Studying the Flynn Effect (2014)

Dr. Grant B. Morgan, associate professor, published "An Investigation of Growth Mixture Models for Studying the Flynn Effect" in Journal of Intelligence, Vol. 2, p. 156-179, October 1, 2014, with co-author(s) Dr. Alex Beaujean, associate professor.