Random forests are a nonparametric machine learning method, which is currently gaining popularity in the behavioral sciences. Despite random forests' potential advantages over more conventional statistical methods, a remaining question is how reliably informative predictor variables can be identified by means of random forests. The present study…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Background and Aims: The fastest growing group of students with disabilities are those with Autism Spectrum Disorder (ASD). States annually report on post-high school outcomes (PSO) of exited students. This study sought to fill two gaps in the literature related to PSO for exited high-school students with ASD and the use of state data and…

Methods for identifying dyslexia in adults vary widely between studies. Researchers have to decide how many tests to use, which tests are considered to be the most reliable, and how to determine cut-off scores. The aim of this study was to develop an objective and powerful method for diagnosing dyslexia. We took various methodological measures,…

Changes, like single scores, are demonstrated to be valid and reliable and potentially predictable by independent variables. Change and growth measures determined from individual examinees' test scores indicated excellent predictive value. (Author/PN)

Two problems in the investigation of predictive bias in tests, the effect of unreliability of the predictors, and the effect of excluding a predictor from the regression equation on which there are preexisting group differences, are discussed. (Author)

Presents the results of multiple regression analysis, test-retest analysis, reliability analysis, exploratory factor analysis, and confirmatory factor analysis of the Computer Attitude Scale in order to assess the instrument's predictive ability, construct validity, and reliability. Findings indicate acceptable characteristics, including stability…

The reliability of Nigeria's entry qualification examinations as a predictor of success at the university level is examined. Results indicate a positive correlation in the science-based fields and very low predictability in the social sciences. (JMF)

This study was an examination of the usefulness of a statistical regression approach to identify prospective Engineering and Information and Computer Science (ICS) applicants most likely to succeed at the University of California at Irvine (UCI). The specific purpose was to determine the extent to which preadmissions measures such as high school…

The major purpose of this study is to further the development of procedures which minimize current limitations of creativity instruments, thus yielding a reliable and functional means for assessing creativity. Computerized content analysis and multiple regression are employed to simulate the creativity ratings of trained judges. The computerized…