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Counsell, Alyssa; Rovetti, Joseph; Buchanan, Erin – Statistics Education Research Journal, 2022
The current study sought to evaluate the SASTSc in two samples of students taking a statistics course that incorporates statistical software. The SASTSc was given at two time points, once at the beginning of the semester and then again at the end of the semester. Our evaluation included examining competing factor analytic models, examining…
Descriptors: Psychometrics, Student Attitudes, Statistics Education, Educational Technology
Merkle, Edgar C.; Fitzsimmons, Ellen; Uanhoro, James; Goodrich, Ben – Grantee Submission, 2021
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependent response variables and multiple latent variables (which may also be called random effects or…
Descriptors: Bayesian Statistics, Structural Equation Models, Psychometrics, Factor Analysis
D'Urso, E. Damiano; Tijmstra, Jesper; Vermunt, Jeroen K.; De Roover, Kim – Educational and Psychological Measurement, 2023
Assessing the measurement model (MM) of self-report scales is crucial to obtain valid measurements of individuals' latent psychological constructs. This entails evaluating the number of measured constructs and determining which construct is measured by which item. Exploratory factor analysis (EFA) is the most-used method to evaluate these…
Descriptors: Factor Analysis, Measurement Techniques, Self Evaluation (Individuals), Psychological Patterns
Selcuk Acar; Denis Dumas; Peter Organisciak; Kelly Berthiaume – Grantee Submission, 2024
Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To…
Descriptors: Thinking Skills, Elementary School Students, Artificial Intelligence, Measurement Techniques
Legacy, Chelsey; Zieffler, Andrew; Fry, Elizabeth Brondos; Le, Laura – Statistics Education Research Journal, 2022
The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…
Descriptors: Statistics Education, Introductory Courses, Undergraduate Students, Teaching Methods
Dai, Shenghai; Svetina, Dubravka; Wang, Xiaolin – Journal of Educational and Behavioral Statistics, 2017
There is an increasing interest in reporting test subscores for diagnostic purposes. In this article, we review nine popular R packages (subscore, mirt, TAM, sirt, CDM, NPCD, lavaan, sem, and OpenMX) that are capable of implementing subscore-reporting methods within one or more frameworks including classical test theory, multidimensional item…
Descriptors: Diagnostic Tests, Scores, Computer Software, Item Response Theory
Karami, Hossein – TESOL Journal, 2015
Factor analysis has been frequently exploited in applied research to provide evidence about the underlying factors in various measurement instruments. A close inspection of a large number of studies published in leading applied linguistic journals shows that there is a misconception among applied linguists as to the relative merits of exploratory…
Descriptors: Factor Analysis, Construct Validity, Applied Linguistics, Computer Software
Hooven, Katie J. – ProQuest LLC, 2016
The purpose of this study was to develop and psychometrically test the Collaboration in the Clinical Learning Environment (CCLE) Tool. The researcher acknowledged two distinct populations that required input into this particular tool development: staff nurses who work on floors that are considered clinical learning environments for students, and…
Descriptors: Clinical Experience, Psychometrics, Reliability, Guidelines
Nering, Michael L., Ed.; Ostini, Remo, Ed. – Routledge, Taylor & Francis Group, 2010
This comprehensive "Handbook" focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models…
Descriptors: Guides, Item Response Theory, Test Items, Correlation
Papanastasiou, Elena C,; Angeli, Charoula – Educational Technology & Society, 2008
There are a number of measurement instruments in the field of education whose aims are to measure various aspects of educational technology. However, the psychometric properties of such instruments are not always determined, and their use is not always appropriate. The aim of this study was to determine the psychometric properties of the survey of…
Descriptors: Construct Validity, Teaching Methods, Measurement, Factor Analysis
Dancer, L. Suzanne – 1989
The usefulness of L. Guttman's partial order scalogram analysis is investigated in this study of the structure of a set of items that measure attitudes toward legal abortion. These items, drawn from the National Opinion Research Center's "General Social Survey," have been the focus of considerable applied research investigating…
Descriptors: Abortions, Adults, Attitude Measures, Computer Software
Dabney, Marian E.; Stewart, Theadora – 1990
This study investigated the construct validity of the revised Special Education-Mental Handicaps Georgia Teacher Certification Test (MH-TCT) using hierarchical confirmatory factor analysis and LISREL VI. The primary objective was to determine whether first-order and second-order factors correspond to item/objective/test relationships defined by…
Descriptors: Computer Assisted Testing, Computer Software, Construct Validity, Content Validity