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Leslie Rutkowski; David Rutkowski – Journal of Creative Behavior, 2025
The Programme for International Student Assessment (PISA) introduced creative thinking as an innovative domain in 2022. This paper examines the unique methodological issues in international assessments and the implications of measuring creative thinking within PISA's framework, including stratified sampling, rotated form designs, and a distinct…
Descriptors: Creativity, Creative Thinking, Measurement, Sampling
B. Goecke; S. Weiss; B. Barbot – Journal of Creative Behavior, 2025
The present paper questions the content validity of the eight creativity-related self-report scales available in PISA 2022's context questionnaire and provides a set of considerations for researchers interested in using these indexes. Specifically, we point out some threats to the content validity of these scales (e.g., "creative thinking…
Descriptors: Creativity, Creativity Tests, Questionnaires, Content Validity
Pokropek, Artur – Large-scale Assessments in Education, 2016
In the social sciences, estimating causal effects is particularly difficult. Gold standards are set by randomized experiments in many cases expensive, unenforceable for ethical and practical reasons. Recent research has drawn attention to techniques that under some conditions, could estimate causal effects on non-experimental observable data. One…
Descriptors: Measurement, International Assessment, Student Evaluation, Attribution Theory
Hill, Kathryn; McNamara, Tim – Measurement: Interdisciplinary Research and Perspectives, 2015
Those who work in second- and foreign-language testing often find Koretz's concern for validity inferences under high-stakes (VIHS) conditions both welcome and familiar. While the focus of the article is more narrowly on the potential for two instructional responses to test-based accountability, "reallocation" and "coaching,"…
Descriptors: Language Tests, Test Validity, High Stakes Tests, Inferences
Tian, Wei; Cai, Li; Thissen, David; Xin, Tao – Educational and Psychological Measurement, 2013
In item response theory (IRT) modeling, the item parameter error covariance matrix plays a critical role in statistical inference procedures. When item parameters are estimated using the EM algorithm, the parameter error covariance matrix is not an automatic by-product of item calibration. Cai proposed the use of Supplemented EM algorithm for…
Descriptors: Item Response Theory, Computation, Matrices, Statistical Inference
Furno, Marilena – Journal of Educational and Behavioral Statistics, 2011
The article considers a test of specification for quantile regressions. The test relies on the increase of the objective function and the worsening of the fit when unnecessary constraints are imposed. It compares the objective functions of restricted and unrestricted models and, in its different formulations, it verifies (a) forecast ability, (b)…
Descriptors: Goodness of Fit, Statistical Inference, Regression (Statistics), Least Squares Statistics