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Full-Text Articles in Education
Comparing Weighted And Unweighted Grade Point Averages In Predicting College Success Of Diverse And Low-Income College Students, Russell Warne, Chanel Nagaishi, Michael Slade, Paul Hermesmeyer, Elizabeth Peck
Comparing Weighted And Unweighted Grade Point Averages In Predicting College Success Of Diverse And Low-Income College Students, Russell Warne, Chanel Nagaishi, Michael Slade, Paul Hermesmeyer, Elizabeth Peck
Russell T Warne
While research has shown the statistical significance of high school grade point averages (HSGPAs) in predicting future academic outcomes, the systems with which HSGPAs are calculated vary drastically across schools. Some schools employ unweighted grades that carry the same point value regardless of the course in which they are earned; other schools use weighting systems that assign greater value to grades earned in honors courses. Due to these inconsistencies, comparison of HSGPAs from different schools is difficult or impossible. We coded 710 transcripts from undergraduate students involved in the Joint Admissions Medical Program in Texas. All grades were standardized on …
The Impact Of Race And Ethnicity On The Identification Process For Giftedness In Utah, Russell Warne, Braydon Anderson, Alyce Johnson
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 …
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 …