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Articles 1 - 7 of 7
Full-Text Articles in Education
Measuring The Outliers: An Introduction To Out-Of-Level Testing With High-Achieving Students, Karen Rambo-Hernandez, Russell Warne
Measuring The Outliers: An Introduction To Out-Of-Level Testing With High-Achieving Students, Karen Rambo-Hernandez, Russell Warne
Russell T Warne
Out-of-level testing is an underused strategy for addressing the needs of students who score in the extremes, and when used wisely, it could provide educators with a much more accurate picture of what students know. Out-of-level testing has been shown to be an effective assessment strategy with high-achieving students; however, out-of-level testing has not been shown to work well with low-achieving students. This article provides a brief history of out-of-level testing, along with guidelines for using it.
Using Above-Level Testing To Track Growth In Academic Achievement In Gifted Students, Russell Warne
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 …
Rasch Maximum Likelihood Estimation For Theta And W-Scores With Panel Study Of Income Dynamics Woodcock-Johnson Revised Achievement Raw Scores, Ezekiel J. Dixon-Román
Rasch Maximum Likelihood Estimation For Theta And W-Scores With Panel Study Of Income Dynamics Woodcock-Johnson Revised Achievement Raw Scores, Ezekiel J. Dixon-Román
Ezekiel J Dixon-Román
This appendix explains the estimation of the Rasch maximum likelihood estimated thetas using the raw scores of the Woodcock-Johnson Revised Achievement Measure in the Panel Study of Income Dynamics. It is then discussed how to estimate the W-scores from the Rasch maximum likelihood estimated thetas. The W-scores ensure stability in score changes that accounts for item difficulty and person ability for growth modeling.
Statistical Methods Used In Gifted Education Journals, 2006-2010, Russell Warne, Maria Lazo, Tami Ramos, Nicola Ritter
Statistical Methods Used In Gifted Education Journals, 2006-2010, Russell Warne, Maria Lazo, Tami Ramos, Nicola Ritter
Russell T Warne
This article describes the statistical methods used in quantitative and mixed methods articles between 2006 and 2010 in five gifted education research journals. Results indicate that the most commonly used statistical methods are means (85.9% of articles), standard deviations (77.8%), Pearson’s r (47.8%), χ2 (32.2%), ANOVA (30.7%), t tests (30.0%), and MANOVA (23.0%). Approximately half (53.3%) of the articles included reliability reports for the data at hand; Cronbach’s alpha was the most commonly reported measure of reliability (41.5%). Some discussions of best statistical practice and implications for the field of gifted education are included.
A Reliability Generalization Of The Overexcitability Questionnaire-Two (Oeqii), Russell Warne
A Reliability Generalization Of The Overexcitability Questionnaire-Two (Oeqii), Russell Warne
Russell T Warne
Reliability generalization (RG) is a meta-analysis that combines and synthesizes reliability coefficients from different studies to ascertain the average observed reliability across studies. An RG study was conducted on previously reported data from 16 samples of the Overexcitability Questionnaire–Two (OEQII) with a combined N of 5,275. Cronbach’s alpha was found to be consistently higher on all OEQII subscales when scale variance was high and the sample consisted of adults. Sample size, gender composition of the sample, number of items from the subscale used, and location of sample (United States or a different county) had varying effects on observed alpha levels …
Beyond Multiple Regression: Using Commonality Analysis To Better Understand R2 Results, Russell Warne
Beyond Multiple Regression: Using Commonality Analysis To Better Understand R2 Results, Russell Warne
Russell T Warne
Multiple regression is one of the most common statistical methods used in quantitative educational research. Despite the versatility and easy interpretability of multiple regression, it has some shortcomings in the detection of suppressor variables and for somewhat arbitrarily assigning values to the structure coefficients of correlated independent variables. Commonality analysis—heretofore rarely used in gifted education research—is a statistical method that partitions the explained variance of a dependent variable into nonoverlapping parts according to the independent variable(s) that are related to each portion. This Methodological Brief includes an example of commonality analysis and equations for researchers who wish to conduct their …
An Investigation Of Measurement Invariance Across Genders On The Overexcitability Questionnaire-Two (Oeqii), Russell Warne
An Investigation Of Measurement Invariance Across Genders On The Overexcitability Questionnaire-Two (Oeqii), Russell Warne
Russell T Warne
The Overexcitability Questionnaire–Two (OEQII) is a quantitative instrument for assessing overexcitabilities as they are described in Dabrowski’s theory of positive disintegration. This article uses multigroup confirmatory factor analysis to examine the measurement invariance of OEQII scores across genders. Results indicate that raw OEQII scores cannot be compared across genders. Caution should be used in interpreting OEQII scores.