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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
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Ferrando, Pere J. – Applied Psychological Measurement, 2009
Spearman's factor-analytic model has been proposed as a unidimensional linear item response theory (IRT) model for continuous item responses. This article first proposes a reexpression of the model that leads to a form similar to that of standard IRT models for binary responses and discusses the item indices of difficulty discrimination and…
Descriptors: Factor Analysis, Item Response Theory, Discriminant Analysis, Psychometrics
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Winsberg, Suzanne; Carroll, J. Douglas – Psychometrika, 1989
An Extended Two-Way Euclidean Multidimensional Scaling (MDS) model that assumes both common and specific dimensions is described and contrasted with the "standard" (Two-Way) MDS model. Illustrations with both artificial and real data on the judged similarity of nations are provided. (TJH)
Descriptors: Algorithms, Chi Square, Maximum Likelihood Statistics, Multidimensional Scaling
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DeSarbo, Wayne S.; Cho, Jaewun – Psychometrika, 1989
This paper presents a new stochastic multidimensional scaling vector threshold model designed to analyze "pick any/n" choice data. A maximum likelihood procedure is formulated to estimate a joint space of both individuals and stimuli. The non-linear probit type model is described, and a Monte Carlo analysis is performed. (TJH)
Descriptors: Consumer Economics, Equations (Mathematics), Factor Analysis, Maximum Likelihood Statistics
Mellenbergh, Gideon J.; Vijn, Pieter – 1980
Data are summarized in Scheuneman's Score x Group x Response frequency table in order to investigate item bias. The data can arise from two different sampling models: (1) multinomial sampling in which a fixed sample size is used and the responses are cross-classified according to score, group, and response; and (2) product-multinomial sampling in…
Descriptors: Black Students, Cognitive Measurement, Foreign Countries, Latent Trait Theory