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Full-Text Articles in Social and Behavioral Sciences

A Primer On Multivariate Analysis Of Variance (Manova) For Behavioral Scientists, Russell T. Warne Nov 2014

A Primer On Multivariate Analysis Of Variance (Manova) For Behavioral Scientists, Russell T. Warne

Russell T Warne

Reviews of statistical procedures (e.g., Bangert & Baumberger, 2005; Kieffer, Reese, & Thompson, 2001; Warne, Lazo, Ramos, & Ritter, 2012) show that one of the most common multivariate statistical methods in psychological research is multivariate analysis of variance (MANOVA). However, MANOVA and its associated procedures are often not properly understood, as demonstrated by the fact that few of the MANOVAs published in the scientific literature were accompanied by the correct post hoc procedure, descriptive discriminant analysis (DDA). The purpose of this article is to explain the theory behind and meaning of MANOVA and DDA. I also provide an example of …


Exploring The Various Interpretations Of "Test Bias", Russell Warne, Myeongsun Yoon, Chris Price Sep 2014

Exploring The Various Interpretations Of "Test Bias", Russell Warne, Myeongsun Yoon, Chris Price

Russell T Warne

Test bias is a hotly debated topic in society, especially as it relates to diverse groups of examinees who often score low on standardized tests. However, the phrase “test bias” has a multitude of interpretations that many people are not aware of. In this article, we explain five different meanings of “test bias” and summarize the empirical and theoretical evidence related to each interpretation. The five meanings are as follows: (a) mean group differences, (b) differential predictive validity, (c) differential item functioning, (d) differing factor structures of tests, and (e) unequal consequences of test use for various groups. We explain …


Using Above-Level Testing To Track Growth In Academic Achievement In Gifted Students, Russell Warne Dec 2013

Using Above-Level Testing To Track Growth In Academic Achievement In Gifted Students, Russell Warne

Russell T Warne

Above-level testing is the practice of administering aptitude or academic achievement tests that are designed for typical students in higher grades or older age-groups to gifted or high-achieving students. Although widely accepted in gifted education, above-level testing has not been subject to careful psychometric scrutiny. In this study, I examine reliability data, growth trajectories, distributions, and group differences of above-level test scores obtained from the Iowa Tests of Basic Skills and Iowa Tests of Educational Development. Two hundred twenty-four middle school students participated in this study. All participants were tested at least 1 time for an overall total of 435 …


Evaluating A Proposed Modification Of The Guttman Rule For Determining The Number Of Factors In An Exploratory Factor Analysis, Russell T. Warne, Ross Larsen Dec 2013

Evaluating A Proposed Modification Of The Guttman Rule For Determining The Number Of Factors In An Exploratory Factor Analysis, Russell T. Warne, Ross Larsen

Russell T Warne

Exploratory factor analysis (EFA) is a widely used statistical method in which researchers attempt to ascertain the number and nature of latent factors that explain their observed variables. When conducting an EFA, researchers must choose the number of factors to retain—a critical decision that has drastic effects if made incorrectly. In this article, we examine a newly proposed method of choosing the number of factors to retain. In the new method, confidence intervals are created around each eigenvalue and factors are retained if the entire eigenvalue is greater than 1.0. Results show that this new method outperforms the traditional Guttman …