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Dive into the research topics where E. Lea Witta is active.

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Featured researches published by E. Lea Witta.


Journal of Experimental Education | 2006

The Search for "Optimal" Cutoff Properties: Fit Index Criteria in Structural Equation Modeling

Stephen A. Sivo; Xitao Fan; E. Lea Witta; John T. Willse

ABSTRACT. This study is a partial replication of L. Hu and P. M. Bentlers (1999) fit criteria work. The purpose of this study was twofold: (a) to determine whether cut-off values vary according to which model is the true population model for a dataset and (b) to identify which of 13 fit indexes behave optimally by retaining all of the correct models while simultaneously rejecting all of the misspecified models in a manner invariant across sample size and data distribution. The authors found that for most indexes the results do not vary depending on which model serves as the correct model. Furthermore, the search for an optimal cut-off value led to a new discovery about the nature of McDonalds measure of centrality and the root mean square error of approximation. Unlike all other indexes considered in this study, the cut-off value of both indexes actually decreases for incorrect models as sample size increases. This may suggest that power calculations are more likely to be optimal when based on those indices.


Psychological Assessment | 2004

A Confirmatory Analysis of the Factor Structure and Cross-Age Invariance of the Wechsler Adult Intelligence Scale—Third Edition

Gordon E. Taub; Kevin S. McGrew; E. Lea Witta

In the Wechsler Adult Intelligence Scale-Third Edition (WAIS-III; D. Wechsler, 1997), the manual reports several confirmatory factor analyses in support of the instruments latent factor structure. In practice, examiners frequently compare an examinees score from a current administration of the WAIS-III with the results from a previous test administration. Implicit in test-retest score comparisons is evidence that scores retain similar interpretive meaning across time. Establishing an instruments factorial invariance provides the foundation for this practice. This study investigated the factorial invariance of the WAIS-III across the instruments 13 age groups. The overall results from this study generally support both configural and factorial invariance of the WAIS-III when the 11 primary tests are administered.


Counselor Education and Supervision | 2012

An Exploratory Investigation of the Counseling Competencies Scale: A Measure of Counseling Skills, Dispositions, and Behaviors

Jacqueline M. Swank; Glenn W. Lambie; E. Lea Witta


Journal of Genetic Psychology | 2009

Doing well: A SEM analysis of the relationships between various activities of daily living and geriatric well-being

James Katt; Linda Speranza; Wendy S. Shore; Karen Saenz; E. Lea Witta


Educational research quarterly | 1994

Are Values Missing Randomly in Survey Research

E. Lea Witta


Archive | 2005

Achievement in Online vs. Traditional Classes

E. Lea Witta


Archive | 2005

Developing an Online Learning Style Instrument

E. Lea Witta; Chen-Yuan “Corey” Lee


Archive | 2003

Latent Growth Modeling of Cognition in the Elderly.

E. Lea Witta; Stephen A. Sivo


Archive | 2002

Measuring Cognitive Function: An Empirical Investigation of the Psychometric Properties of a Cognitive Measure.

E. Lea Witta; Stephen A. Sivo


Archive | 2002

Structural Equation Modeling Analysis of the Effects of Social and Biological Factors on Geriatric Cognition: Does Sex Matter?.

Wendy S. Shore; James Katt; Cheng-Yuan Lee; Scott Rasmus; Karen Saenz; Linda Speranza; E. Lea Witta

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Stephen A. Sivo

University of Central Florida

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James Katt

University of Central Florida

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Karen Saenz

University of Alabama at Birmingham

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Wendy S. Shore

Johns Hopkins University

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Glenn W. Lambie

University of Central Florida

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Gordon E. Taub

University of Central Florida

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John T. Willse

University of North Carolina at Greensboro

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