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Full-Text Articles in Social and Behavioral Sciences

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 …