NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)0
Since 2006 (last 20 years)56
Source
Psychometrika254
Audience
Researchers1
Laws, Policies, & Programs
Assessments and Surveys
National Longitudinal Survey…1
What Works Clearinghouse Rating
Showing 151 to 165 of 254 results Save | Export
Peer reviewed Peer reviewed
Cramer, Elliot M.; Nicewander, W. Alan – Psychometrika, 1979
A distinction is drawn between redundancy measurement and the measurement of multivariate association between two sets of variables. Several measures of multivariate association between two sets of variables are examined. (Author/JKS)
Descriptors: Correlation, Measurement, Multiple Regression Analysis, Multivariate Analysis
Peer reviewed Peer reviewed
Muthen, Bengt O. – Psychometrika, 1989
The problems posed for latent variable analysis by populations with different sets of parameter values are discussed. An overview of methodology to address heterogeneity is presented, including a review of structural modeling by the multiple indicator-multiple causes model and the use of the LISCOMP computer program. (SLD)
Descriptors: Data Analysis, Equations (Mathematics), Estimation (Mathematics), Mathematical Models
Peer reviewed Peer reviewed
Sanders, P. F.; And Others – Psychometrika, 1989
A new method is presented for determining the minimum number of observations per subject needed to achieve a specific generalizability coefficient. The method, consisting of a branch-and-bound algorithm, enables an investigator to specify an acceptable threshold for generalizability coefficients. (SLD)
Descriptors: Equations (Mathematics), Generalizability Theory, Mathematical Models, Observation
Peer reviewed Peer reviewed
Sobel, Michael E. – Psychometrika, 1990
Total, direct, and indirect effects in linear structural equation models are examined. Formulas currently given for direct and total effects are reported, and causation is considered. It is concluded that in many instances the effects do not support the interpretations given in the literature. (SLD)
Descriptors: Effect Size, Equations (Mathematics), Mathematical Models, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Li, Heng – Psychometrika, 2004
A type of data layout that may be considered as an extension of the two-way random effects analysis of variance is characterized and modeled based on group invariance. The data layout seems to be suitable for several scenarios in psychometrics, including the one in which multiple measurements are taken on each of a set of variables, and the…
Descriptors: Statistical Analysis, Psychometrics, Hypothesis Testing, Algebra
Peer reviewed Peer reviewed
Direct linkDirect link
Yuan, Ke-Hai; Bentler, Peter M. – Psychometrika, 2004
Since data in social and behavioral sciences are often hierarchically organized, special statistical procedures for covariance structure models have been developed to reflect such hierarchical structures. Most of these developments are based on a multivariate normality distribution assumption, which may not be realistic for practical data. It is…
Descriptors: Statistical Analysis, Statistical Inference, Statistical Distributions, Multivariate Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Heiser, Willem J. – Psychometrika, 2004
Categories can be counted, rated, or ranked, but they cannot be measured. Likewise, persons or individuals can be counted, rated, or ranked, but they cannot be measured either. Nevertheless, psychology has realized early on that it can take an indirect road to measurement: What can be measured is the strength of association between categories in…
Descriptors: Psychometrics, Classification, Sociometric Techniques, Geometric Concepts
Peer reviewed Peer reviewed
McDonald, R. P. – Psychometrika, 1974
Maximum likelihood estimates of the free parameters, and an asymptotic likelihood-ratio test, are given for the hypothesis that one or more elements of a covariance matric are zero, and/or that two or more of its elements are equal. (Author/RC)
Descriptors: Analysis of Covariance, Computer Programs, Hypothesis Testing, Matrices
Peer reviewed Peer reviewed
Hubert, Lawrence J.; Baker, Frank B. – Psychometrika, 1978
The "Traveling Salesman" and similar combinatorial programming tasks encountered in operations research are discussed as possible data analysis models in psychology, for example, in developmental scaling, Guttman scaling, profile smoothing, and data array clustering. A short overview of various computational approaches from this area of…
Descriptors: Computer Programs, Computer Science, Mathematical Models, Measurement
Peer reviewed Peer reviewed
Arabie, Phipps – Psychometrika, 1978
An examination is made concerning the utility and design of studies comparing nonmetric multidimensional scaling algorithms and their initial configurations, as well as the agreement between the results of such studies. Various practical details of nonmetric scaling are also considered. (Author/JKS)
Descriptors: Correlation, Goodness of Fit, Matrices, Monte Carlo Methods
Peer reviewed Peer reviewed
Clogg, Clifford C.; Goodman, Leo A. – Psychometrika, 1986
Statistical methods are presented to facilitate a more complete analysis of results obtained when a scaling model is applied to data from two or more groups. Various kinds of scaling models are considered here in the multiple-group context. (Author/LMO)
Descriptors: Mathematical Models, Measurement Techniques, Response Style (Tests), Scaling
Peer reviewed Peer reviewed
Joe, George W.; Woodward, J. Arthur – Psychometrika, 1976
This article is concerned with estimation of components of maximum generalizability in multifacet experimental designs involving multiple dependent measures. An example of a two-facet partially nested design is provided. (Author/RC)
Descriptors: Analysis of Variance, Correlation, Matrices, Reliability
Peer reviewed Peer reviewed
Frane, James W. – Psychometrika, 1976
Several procedures are outlined for replacing missing values in multivariate analyses by regression values obtained in various ways, and for adjusting coefficients (such as factor score coefficients) when data are missing. None of the procedures are complex or expensive. (Author)
Descriptors: Correlation, Discriminant Analysis, Factor Analysis, Multiple Regression Analysis
Peer reviewed Peer reviewed
Thissen, David; Wainer, Howard – Psychometrika, 1976
A new measure of correlation and a measure of scale are proposed which are substantially more robust than their least squares counterparts. Increased robustness may also be obtained by use of equal regression weights, or knowledge of the theoretical structure of the weights. (Author/HG)
Descriptors: Correlation, Least Squares Statistics, Monte Carlo Methods, Nonparametric Statistics
Peer reviewed Peer reviewed
Schucany, W. R.; Frawley, W. H. – Psychometrika, 1973
A test statistic is introduced which allows one to test the hypothesis of agreement of several judges on the ranking of items within each of two groups and between the two groups. (Editor)
Descriptors: Analysis of Variance, Indexes, Psychological Testing, Statistical Analysis
Pages: 1  |  ...  |  7  |  8  |  9  |  10  |  11  |  12  |  13  |  14  |  15  |  16  |  17