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Lowe, Patricia A. – Journal of Psychoeducational Assessment, 2018
The psychometric properties of a new, multidimensional measure of test anxiety, the Test Anxiety Measure for College Students (TAM-C), were examined in a sample of 720 undergraduate students. Results of confirmatory factor analyses provided support for a six-factor (Cognitive Interference, Physiological Hyperarousal, Social Concerns,…
Descriptors: Psychometrics, Test Anxiety, College Students, Measures (Individuals)
Costa, Sebastiano; Ingoglia, Sonia; Inguglia, Cristiano; Liga, Francesca; Lo Coco, Alida; Larcan, Rosalba – Measurement and Evaluation in Counseling and Development, 2018
The purpose of this multistudy report was to adapt the Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS) to the Italian context. Two studies were conducted. In Study 1, we investigated the dimensionality, reliability, and convergent and discriminant validity of the instrument in a sample of 544 participants (males = 41%) from 16…
Descriptors: Psychological Needs, Psychometrics, Need Gratification, Gender Differences
Ho, Sammy K.; Chan, Edmund S. – Cogent Education, 2017
This study aims to investigate the psychometric properties of the revised multidimensional scale of perceived social support (R-MSPSS) for Chinese school teachers. A questionnaire comprising the R-MSPSS and other psychological measures was administered to a sample of 539 school teachers in Hong Kong. A series of confirmatory factor analysis was…
Descriptors: Multidimensional Scaling, Social Support Groups, Program Validation, Psychometrics
Groß Ophoff, Jana; Schladitz, Sandra; Leuders, Juliane; Leuders, Timo; Wirtz, Markus A. – Peabody Journal of Education, 2015
The ability to purposefully access, reflect, and use evidence from educational research (Educational Research Literacy) is expected of future professionals in educational practice. Based on the presented conceptual framework, a test instrument was developed to assess the different competency aspects: Information Literacy, Statistical Literacy, and…
Descriptors: Educational Research, Research Methodology, Literacy, Educational Development
Toro, Maritsa – ProQuest LLC, 2011
The statistical assessment of dimensionality provides evidence of the underlying constructs measured by a survey or test instrument. This study focuses on educational measurement, specifically tests comprised of items described as multidimensional. That is, items that require examinee proficiency in multiple content areas and/or multiple cognitive…
Descriptors: Multidimensional Scaling, Measurement, Statistical Analysis, Item Response Theory
Socha, Alan; Sigler, Ellen A. – Assessment & Evaluation in Higher Education, 2012
The "Revised Learning Process Questionnaire" has been part of the development of a conceptual understanding of how students learn and what motivates them to engage in particular tasks. We obtained responses from 329 student volunteers at a mid-sized public university in the southeast USA. We first investigated whether the psychometric…
Descriptors: Factor Structure, Questionnaires, Multidimensional Scaling, Psychometrics
Sidiropoulou-Dimakakou, Despina; Mylonas, Kostas; Argyropoulou, Katerina – International Journal for Educational and Vocational Guidance, 2008
The aim of this study was to describe the hexagonal person-environment fit for the Holland personality types for a Greek sample of 156 university students. The statistical analysis followed both exploratory--such as multidimensional scaling--and confirmatory methods--such as covariance structure models. These methods were employed in an…
Descriptors: Personality Traits, Foreign Countries, College Students, Multidimensional Scaling

Bloxom, Bruce – Psychometrika, 1978
A gradient method is used to obtain least squares estimates of parameters in constrained multidimensional scaling in N spaces. Features and constraints of the method and two applications of the procedure are presented. (Author/JKS)
Descriptors: Individual Differences, Multidimensional Scaling, Psychometrics, Statistical Analysis

Young, Forrest W.; Null, Cynthia H. – Psychometrika, 1978
Multidimensional scaling has recently been enhanced so that data defined at only the nominal level of measurement can be analyzed. The efficacy of ALSCAL, an individual differences multidimensional scaling program which can analyze nominal, ordinal, interval and ratio data is presented. (Author/JKS)
Descriptors: Computer Programs, Hypothesis Testing, Multidimensional Scaling, Psychometrics

Levine, David M. – Psychometrika, 1978
Monte Carlo procedures are used to develop stress distributions using Kruskal's second stress formula. These distributions can be used in multidimensional scaling procedures to determine whether a set of data has other than random structure. (Author/JKS)
Descriptors: Hypothesis Testing, Monte Carlo Methods, Multidimensional Scaling, Psychometrics
Tucker, Ledyard R. – 1970
Two lines of psychometric interest are combined: a) multidimensional scaling and, b) factor analysis. This is achieved by employing three-mode factor analysis of scalar product matrices, one for each subject. Two of the modes are the group of objects scaled and the third is the sample of subjects. Resulting from this are, an object space, a person…
Descriptors: Factor Analysis, Individual Differences, Interest Inventories, Models

Tucker, Ledyard R. – Psychometrika, 1972
Descriptors: Factor Analysis, Factor Structure, Mathematical Models, Mathematics
Reynolds, Thomas J. – 1976
A method of factor extraction specific to a binary matrix, illustrated here as a person-by-item response matrix, is presented. The extraction procedure, termed ERGO, differs from the more commonly implemented dimensionalizing techniques, factor analysis and multidimensional scaling, by taking into consideration item difficulty. Utilized in the…
Descriptors: Discriminant Analysis, Factor Analysis, Item Analysis, Matrices

Spence, Ian – Psychometrika, 1972
Discusses the different strategies employed by three practical nonmetric multidimensional scaling algorithms using Monte Carlo techniques. (Author/RK)
Descriptors: Algorithms, Computer Programs, Error of Measurement, Evaluation Methods