Education Commons^™

A Single Case Study Of The Impact Of Policy Changes On Identification For Gifted Programs, Russell Warne

Russell T Warne

Above-Level Test Item Functioning Across Examinee Age Groups, Russell Warne, Kristine Doty, Anne Marie Malbica, Victor Angeles, Scott Innes, Jared Hall, Kelli Masterson-Nixon

Russell T Warne

Five Reasons To Put The G Back Into Giftedness: An Argument For Applying The Cattell–Horn–Carroll Theory Of Intelligence To Gifted Education Research And Practice, Russell Warne

Russell T Warne

The Impact Of Participation In The Advanced Placement Program On Students’ College Admissions Test Scores, Russell Warne, Ross Larsen, Braydon Anderson, Alyce Odasso

Russell T Warne

The Advanced Placement Program's Impact On Academic Achievement, Russell T. Warne, Braydon Anderson

Russell T Warne

Review Of The Cognitive Abilities Test, Form 7, Russell Warne

Russell T Warne

No abstract provided.

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

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

Russell T Warne

The Impact Of Race And Ethnicity On The Identification Process For Giftedness In Utah, Russell Warne, Braydon Anderson, Alyce Johnson

Russell T Warne

Many gifted education experts have found that Black, Hispanic, and Native American students are less likely to be identified for gifted programs than Asian American and White students. A study was conducted to ascertain the degree of underrepresentation of these groups in gifted programs in Utah. Using state-collected data from 14,781 students in six representative school districts in Utah, it was found through multiple logistic regression analysis that there was no statistically significant difference in the likelihoods that Black, Hispanic, or Native American students and White students would be identified as gifted; Asian American and Pacific Islander students were more …

Are There More Gifted People Than Would Be Expected In A Normal Distribution? An Investigation Of The Overabundance Hypothesis, Russell Warne, Lindsey Godwin, Kyle Smith

Russell T Warne

Among some gifted education researchers, advocates, and practitioners, it is sometimes believed that there is a larger number of gifted people in the general population than would be predicted from a normal distribution (e.g., Gallagher, 2008; N. M. Robinson, Zigler, & Gallagher, 2000; Silverman, 1995, 2009), a belief that we termed the “overabundance hypothesis.” We tested this hypothesis by searching public datasets and the published literature for large representative datasets, 10 of which were found in 6 sources. Results indicated that the overabundance hypothesis was mostly unsupported by the data. Moreover, most datasets included approximately the same (or fewer) gifted …

What The Joint Admission Medical Program (Jamp) Can Do For Texas Physicians; What Texas Physicians Can Do For Jamp - See More At: Http://Www.Texmed.Org/Aug12journal/#Sthash.M6pv8cjh.Dpuf, Alan Podawiltz, James Richardson, Wallace Gleason, Kathleen Fallon, David Jones, Elizabeth Peck, Jeffrey Rabek, Manuel Schydlower, William Thomson, Russell Warne, Budge Mabry, Paul Hermesmeyer, Quentin Smith

Russell T Warne

Texas faces health challenges requiring a physician workforce with understanding of a broad range of issues – including the role of culture, income level, and health beliefs – that affect the health of individuals and communities. Building on previous successful physician workforce "pipeline" efforts, Texas established the Joint Admission Medical Program (JAMP), a first-of-its-kind program to encourage access to medical education by Texans who are economically disadvantaged. The program benefits those from racial and ethnic minority groups and involves all 31 public and 34 private Texas undergraduate colleges and universities offering life science degrees, as well as all 9 medical …

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.

History And Development Of Above-Level Testing Of The Gifted, Russell Warne

Russell T Warne

Above-level testing (also called out-of-level testing, off-grade testing, and off-level testing) is the practice of administering a test level that was designed for and normed on an older population to a gifted child. This comprehensive literature review traces the practice of above-level testing from the earliest days of gifted education through the present. It was found that there were five reasons frequently given for above-level testing: raising the test ceiling, increasing score variability and discrimination, improving reliability, the sound interpretations of above-level test data, and reducing regression toward the mean. Although all of these reasons were theoretically supported, the strength …

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

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

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.

Comparing Tests Used To Identify Ethnically Diverse Gifted Children: A Critical Response To Lewis, Decamp-Fritson, Ramage, Mcfarland, & Archwamety, Russell Warne

Russell T Warne

No abstract provided.

Recent Trends In Gifted Identification In Texas, Russell T. Warne, Joyce Juntune

Russell T Warne

No abstract provided.