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Koch, Marco; Spinath, Frank M.; Greiff, Samuel; Becker, Nicolas – Journal of Intelligence, 2022
Figural matrices tasks are one of the most prominent item formats used in intelligence tests, and their relevance for the assessment of cognitive abilities is unquestionable. However, despite endeavors of the open science movement to make scientific research accessible on all levels, there is a lack of royalty-free figural matrices tests. The Open…
Descriptors: Intelligence, Intelligence Tests, Computer Assisted Testing, Test Items
Özdemir, Hasan Fehmi; Toraman, Çetin; Kutlu, Ömer – Turkish Journal of Education, 2019
No matter how strong the theoretical infrastructure of a study is, if the measurement instruments do not have the necessary psychometric qualities, there will be a question of trust in interpreting the findings, and it will be inevitable to make wrong decisions with the results. One of the important steps in scale development/adaptation studies is…
Descriptors: Correlation, Matrices, Construct Validity, Likert Scales
Raykov, Tenko; Marcoulides, George A.; Li, Tenglong – Educational and Psychological Measurement, 2017
The measurement error in principal components extracted from a set of fallible measures is discussed and evaluated. It is shown that as long as one or more measures in a given set of observed variables contains error of measurement, so also does any principal component obtained from the set. The error variance in any principal component is shown…
Descriptors: Error of Measurement, Factor Analysis, Research Methodology, Psychometrics
Xu, Peng; Desmarais, Michel C. – International Educational Data Mining Society, 2016
In recent years, substantial improvements were obtained in the effectiveness of data driven algorithms to validate the mapping of items to skills, or the Q-matrix. In the current study we use ensemble algorithms on top of existing Q-matrix refinement algorithms to improve their performance. We combine the boosting technique with a decision tree.…
Descriptors: Matrices, Q Methodology, Psychometrics, Decision Making
Feng, Yuling – ProQuest LLC, 2013
Diagnostic classification models (DCMs) are structured latent class models widely discussed in the field of psychometrics. They model subjects' underlying attribute patterns and classify subjects into unobservable groups based on their mastery of attributes required to answer the items correctly. The effective implementation of DCMs depends…
Descriptors: Classification, Models, Psychometrics, Computation
Goff, Peter; Salisbury, Jason; Blitz, Mark – Wisconsin Center for Education Research, 2015
Initiatives to increase leadership accountability coupled with efforts to promote data-driven leadership have led to widespread adoption of instruments to assess school leaders. In this paper we present a decision matrix that practitioners and researchers can use to facilitate instrument selection. Our decision matrix focuses on the psychometric…
Descriptors: Comparative Analysis, Measures (Individuals), Feedback (Response), Psychometrics

Cronbach, Lee J. – Journal of Educational Measurement, 1976
The Petersen-Novick paper dealing with culture fair selection (TM 502 259) is the basis for this article. The author proposes a perspective in which ideas can be lined up for comparison and suggests solutions to the problems of selection in employment. (DEP)
Descriptors: Bias, Employment Opportunities, Matrices, Models
Tatsuoka, Kikumi K.; Tatsuoka, Maurice M. – 1992
Results of cognitive diagnoses were validated using the rule-space model, and the usefulness of cognitive diagnosis for instruction was demonstrated. Through preliminary studies, 33 stages of knowledge were defined as cognitive diagnoses to be applied to results from a test of knowledge about fractions of seventh and eighth graders (initial test…
Descriptors: Cognitive Tests, Diagnostic Tests, Fractions, Junior High School Students