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Miller, Angie L.; Smith, Veronica A. – Gifted and Talented International, 2017
Many current theories and models include creativity as a component of giftedness, conceptualizing the construct in numerous ways that complement giftedness. Variations in creativity have also been studied among different academic disciplines, suggesting that although there may be higher levels of creativity for some, major choice is a complex…
Descriptors: Creativity, Statistical Analysis, Majors (Students), Multivariate Analysis
Huang, Francis L. – Practical Assessment, Research & Evaluation, 2014
Clustered data (e.g., students within schools) are often analyzed in educational research where data are naturally nested. As a consequence, multilevel modeling (MLM) has commonly been used to study the contextual or group-level (e.g., school) effects on individual outcomes. The current study investigates the use of an alternative procedure to…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Educational Research, Sampling
Cox, Bradley E.; McIntosh, Kadian; Reason, Robert D.; Terenzini, Patrick T. – Review of Higher Education, 2014
Nearly all quantitative analyses in higher education draw from incomplete datasets-a common problem with no universal solution. In the first part of this paper, we explain why missing data matter and outline the advantages and disadvantages of six common methods for handling missing data. Next, we analyze real-world data from 5,905 students across…
Descriptors: Data Analysis, Statistical Inference, Research Problems, Computation
Pace, C. Robert; And Others – 1985
This report shows that there are many ways to confirm the accuracy, reliability, and validity of student self-reports. Examples from higher education and from public opinion polls and general surveys demonstrate some of the common sources of measurement errors and errors of substance. Part 1 of the report summarizes a few highlights from the…
Descriptors: Academic Achievement, Attitude Measures, College Students, Error of Measurement