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Elizabeth B. Vaughan; A. Montoya-Cowan; Jack Barbera – Chemistry Education Research and Practice, 2024
The Meaningful Learning in the Laboratory Instrument (MLLI) was designed to measure students' expectations before and after their laboratory courses and experiences. Although the MLLI has been used in various studies and laboratory environments to investigate students' cognitive and affective laboratory expectations, the authors of the instrument…
Descriptors: Test Validity, Test Reliability, Expectation, Measures (Individuals)
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Graham, James M.; Guthrie, Abbie C.; Thompson, Bruce – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Confirmatory factor analysis (CFA) is a statistical procedure frequently used to test the fit of data to measurement models. Published CFA studies typically report factor pattern coefficients. Few reports, however, also present factor structure coefficients, which can be essential for the accurate interpretation of CFA results. The interpretation…
Descriptors: Factor Analysis, Factor Structure, Data Interpretation
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Merenda, Peter F. – Measurement and Evaluation in Counseling and Development, 1997
Offers suggestions for proper procedures for authors to use--and some pitfalls to avoid--when writing studies using factor analysis methods. Discusses distinctions among different methods of analysis, the adequacy of factor structure, and other notes of caution. Encourages authors to ensure that their research is statistically sound. (RJM)
Descriptors: Data Interpretation, Factor Analysis, Factor Structure, Reliability
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Shimizu, Kazuaki; And Others – Journal of Vocational Behavior, 1988
Examined factor structure of Career Decision Scale (CDS), comparing findings of seven factor analytic studies. Conducted new factor analytic study of CDS designed to avoid methodological problems of earlier studies, using 698 secondary school students as subjects. Results suggest "Simple" model of CDS factor structure could be derived…
Descriptors: Career Choice, Data Interpretation, Decision Making, Factor Structure
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Zwick, William R.; Velicer, Wayne F. – 1984
A common problem in the behavioral sciences is to determine if a set of observed variables can be more parsimoniously represented by a smaller set of derived variables. To address this problem, the performance of five methods for determining the number of components to retain (Horn's parallel analysis, Velicer's Minimum Average Partial (MAP),…
Descriptors: Behavioral Science Research, Comparative Analysis, Correlation, Data Interpretation
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Brooks, Robert T.; Beard, John; Steel, Zachary – Psychological Assessment, 2006
The Kessler 10 Psychological Distress Scale (K10) is a brief 10-item questionnaire designed to measure the level of distress and severity associated with psychological symptoms in population surveys. It is being used widely, including in the World Health Organization World Mental Health Survey, and as a clinical outcome measure, although little…
Descriptors: Factor Structure, Questionnaires, Community Surveys, Mental Health
Sherman, Lawrence W.; And Others – 1988
A series of six papers and an introduction which present the results and tentative analyses of studies investigating such constructs as self-esteem, perceptions of control, and competence are included in this document. These papers are: (1) "Multiple Dimensions of Locus of Control and Their Relationship To Standardized Achievement Scores in Fifth…
Descriptors: Adolescents, Data Interpretation, Factor Analysis, Factor Structure