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Kreiman, Jody; Gerratt, Bruce R. – Journal of Speech, Language, and Hearing Research, 2011
Purpose: Interrater disagreements in ratings of quality plague the study of voice. This study compared 2 methods for handling this variability. Method: Listeners provided multiple breathiness ratings for 2 sets of pathological voices, one including 20 male and 20 female voices unselected for quality and one including 20 breathy female voices.…
Descriptors: Measurement Techniques, Comparative Analysis, Interrater Reliability, Auditory Perception
Dickes, Paul; Fusco, Alessio; Marlier, Eric – Social Indicators Research, 2010
Back in 1975, the European Union (EU) Council of Ministers defined the poor as "individuals or families whose resources are so small as to exclude them from the minimum acceptable way of life of the Member State in which they live". This widely quoted definition leaves room for discussion about what can be considered a "minimum…
Descriptors: Living Standards, Multidimensional Scaling, Comparative Analysis, Social Indicators
Construct Validation and Application of a Common Measure of Social Cohesion in 33 European Countries
Dickes, Paul; Valentova, Marie; Borsenberger, Monique – Social Indicators Research, 2010
The aim of the paper is to assess the construct validation of a multidimensional measure of social cohesion which is well theoretically grounded and has an equivalent/comparable interpretation across all European countries. Up-to-now published research on social cohesion is deficient in either one or both of these important aspects. This paper…
Descriptors: Construct Validity, Multidimensional Scaling, Factor Analysis, Foreign Countries
Culpepper, Steven Andrew – Multivariate Behavioral Research, 2009
This study linked nonlinear profile analysis (NPA) of dichotomous responses with an existing family of item response theory models and generalized latent variable models (GLVM). The NPA method offers several benefits over previous internal profile analysis methods: (a) NPA is estimated with maximum likelihood in a GLVM framework rather than…
Descriptors: Profiles, Item Response Theory, Models, Maximum Likelihood Statistics

Simmen, Martin W. – Multivariate Behavioral Research, 1996
Several methodological issues in the multidimensional scaling of coarse dissimilarities were studied, examining whether it was better to scale dissimilarity data directly or to scale a new matrix derived from the original by row comparisons. Findings support an alternative row-comparison measure based on the Jacard coefficient. (SLD)
Descriptors: Comparative Analysis, Matrices, Multidimensional Scaling, Research Methodology
Jung, Jaehee; Forbes, Gordon B. – Psychology of Women Quarterly, 2007
Body dissatisfaction and disordered eating were compared across groups of college women from China (n = 109), South Korea (n = 137), and the United States (n = 102). Based on cultural differences in the amount of exposure to Western appearance standards, particularly the thin-body ideal, sociocultural theory (Thompson, Heinberg, Altabe, &…
Descriptors: Feminism, Females, Eating Disorders, Cultural Differences
Smithson, Michael; Verkuilen, Jay – Psychological Methods, 2006
Uncorrectable skew and heteroscedasticity are among the "lemons" of psychological data, yet many important variables naturally exhibit these properties. For scales with a lower and upper bound, a suitable candidate for models is the beta distribution, which is very flexible and models skew quite well. The authors present…
Descriptors: Maximum Likelihood Statistics, Predictor Variables, Mathematical Models, Comparative Analysis

Loadman, William E.; And Others – Mid-Western Educational Researcher, 1991
Three methods for grouping items in an opinion survey were compared for their utility in subscale construction: rational organization according to content, factor analysis, and multidimensional scaling. Only subscales based on factor analysis could be refined to meet the criteria of reliability, additivity, and interpretability simultaneously. (SV)
Descriptors: Attitude Measures, Comparative Analysis, Factor Analysis, Item Analysis
Mroch, Andrew A.; Bolt, Daniel M. – Applied Measurement in Education, 2006
Recently, nonparametric methods have been proposed that provide a dimensionally based description of test structure for tests with dichotomous items. Because such methods are based on different notions of dimensionality than are assumed when using a psychometric model, it remains unclear whether these procedures might lead to a different…
Descriptors: Simulation, Comparative Analysis, Psychometrics, Methods Research

De Ayala, R. J.; Hertzog, Melody A. – Multivariate Behavioral Research, 1991
Multidimensional scaling (MDS) and exploratory and confirmatory factor analyses were compared in the assessment of the dimensionality of data sets, using sets generated to be one-dimensional or two-dimensional and differing in degree of interdimensional correlation and number of items defining a dimension. (SLD)
Descriptors: Comparative Analysis, Correlation, Equations (Mathematics), Factor Structure

Bissett, Randall; Schneider, Bruce – Psychometrika, 1991
The algorithm developed by B. A. Schneider (1980) for analysis of paired comparisons of psychological intervals is replaced by one proposed by R. M. Johnson. Monte Carlo simulations of pairwise dissimilarities and pairwise conjoint effects show that Johnson's algorithm can provide good metric recovery. (SLD)
Descriptors: Algorithms, Comparative Analysis, Computer Simulation, Equations (Mathematics)
Stone, Clement A.; Yeh, Chien-Chi – Educational and Psychological Measurement, 2006
Examination of a test's internal structure can be used to identify what domains or dimensions are being measured, identify relationships between the dimensions, provide evidence for hypothesized multidimensionality and test score interpretations, and identify construct-irrelevant variance. The purpose of this research is to provide a…
Descriptors: Multiple Choice Tests, Factor Structure, Factor Analysis, Licensing Examinations (Professions)
Liu, Xiufeng – 1992
The difference between compensatory and non-compensatory item response theory (IRT) models in terms of the dimensionality of test data generated by them, and its effect on the model-data-fit were examined. The STRESS (proportion of variance not accounted for by the multidimensional scaling model) and RSQ (proportion of variance accounted for by…
Descriptors: Chi Square, Comparative Analysis, Computer Simulation, Foreign Countries
Davison, Mark L. – 1981
Academic psychology has long been composed of two disciplines, one experimental and one correlational. These two disciplines each developed their own method of studying structure in data: multidimensional scaling (MDS) and factor analysis. Both methods use similar kinds of input data, proximity measures on object pairs. Both represent the object…
Descriptors: Ability, Comparative Analysis, Correlation, Factor Analysis

Kloot, Willem A. van der; Herk, Hester van – Multivariate Behavioral Research, 1991
Two sets of real sorting data from 50 college students are used to compare results of multidimensional scaling of raw co-occurrence frequencies or dissimilarity measures (D) and profile distances (delta) to determine which yields a better representation of the underlying structure of 2 sets of stimuli. Slight differences are discussed. (SLD)
Descriptors: Classification, Cognitive Processes, College Students, Comparative Analysis
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