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Veilleux, Jennifer C.; Chapman, Kate M. – Teaching of Psychology, 2017
Research methods and statistics are core courses in the undergraduate psychology major. To assess learning outcomes, it would be useful to have a measure that assesses research methods and statistical literacy beyond course grades. In two studies, we developed and provided initial validation results for a research methods and statistical knowledge…
Descriptors: Psychology, Item Response Theory, Computer Software, Research Methodology
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Goltz, Heather Honore; Smith, Matthew Lee – Practical Assessment, Research & Evaluation, 2010
Yule (1903) and Simpson (1951) described a statistical paradox that occurs when data is aggregated. In such situations, aggregated data may reveal a trend that directly contrasts those of sub-groups trends. In fact, the aggregate data trends may even be opposite in direction of sub-group trends. To reveal Yule-Simpson's paradox (YSP)-type…
Descriptors: Data, Statistics, Statistical Analysis, Models
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Marsh, Michael T. – American Journal of Business Education, 2009
Regardless of the related discipline, students in statistics courses invariably have difficulty understanding the connection between the numerical values calculated for end-of-the-chapter exercises and their usefulness in decision making. This disconnect is, in part, due to the lack of time and opportunity to actually design the experiments and…
Descriptors: Online Courses, Statistical Analysis, Sampling, Teaching Methods
Hambleton, Ronald K.; Traub, Ross E. – 1970
Georg Rasch has developed a new one-parameter latent trait model to explain the performance of examinees on achievement tests. The model can be viewed as a special case of Birnbaum's two-parameter logistic model where all items are assumed to have equal discriminating power. Birnbaum's model permits items to vary in discriminating power. Both…
Descriptors: Academic Ability, Achievement Tests, Aptitude Tests, Item Analysis
Dorans, Neil J.; Kulick, Edward – 1985
A visual display is introduced that enables one to compare the predictive validities of all possible non-negatively weighted sums of two predictors. This two-predictor validity curve assesses the level of predictability of a criterion from composites of two predictors. Derivations are presented for the general case. For illustrative purposes, the…
Descriptors: Aptitude Tests, Correlation, Display Aids, Graphs