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Blanchard, Simon J.; DeSarbo, Wayne S. – Psychometrika, 2013
We introduce a new statistical procedure for the identification of unobserved categories that vary between individuals and in which objects may span multiple categories. This procedure can be used to analyze data from a proposed sorting task in which individuals may simultaneously assign objects to multiple piles. The results of a synthetic…
Descriptors: Statistical Analysis, Identification, Classification, Data Analysis
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Maydeu-Olivares, Alberto; Brown, Gregory – Psychometrika, 2013
We offer an introduction to the five papers that make up this special section. These papers deal with a range of the methodological challenges that face researchers analyzing fMRI data--the spatial, multilevel, and longitudinal nature of the data, the sources of noise, and so on. The papers all provide analyses of data collected by a multi-site…
Descriptors: Data Analysis, Measurement, Brain, Diagnostic Tests
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Jamshidian, Mortaza; Jalal, Siavash – Psychometrika, 2010
Test of homogeneity of covariances (or homoscedasticity) among several groups has many applications in statistical analysis. In the context of incomplete data analysis, tests of homoscedasticity among groups of cases with identical missing data patterns have been proposed to test whether data are missing completely at random (MCAR). These tests of…
Descriptors: Sample Size, Statistical Analysis, Nonparametric Statistics, Simulation
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Joe, Harry; Maydeu-Olivares, Alberto – Psychometrika, 2010
Maydeu-Olivares and Joe (J. Am. Stat. Assoc. 100:1009-1020, "2005"; Psychometrika 71:713-732, "2006") introduced classes of chi-square tests for (sparse) multidimensional multinomial data based on low-order marginal proportions. Our extension provides general conditions under which quadratic forms in linear functions of cell residuals are…
Descriptors: Statistical Analysis, Information Theory, Data Analysis, Item Response Theory
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Choulakian, V. – Psychometrika, 2008
The aim of this paper is to study the analysis of contingency tables with one heavyweight column or one heavyweight entry by taxicab correspondence analysis (TCA). Given that the mathematics of TCA is simpler than the mathematics of correspondence analysis (CA), the influence of one heavyweight column on the outputs of TCA is studied explicitly…
Descriptors: Statistical Analysis, Tables (Data), Correlation, Data Analysis
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Koulis, Theodoro; Ramsay, James O.; Levitin, Daniel J. – Psychometrika, 2008
Recent advances in data recording technology have given researchers new ways of collecting on-line and continuous data for analyzing input-output systems. For example, continuous response digital interfaces are increasingly used in psychophysics. The statistical problem related to these input-output systems reduces to linking time-varying…
Descriptors: Mathematical Models, Data Analysis, Calculus, Item Response Theory
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Brown, Morton B. – Psychometrika, 1975
Estimates of conditional uncertainty, contingent uncertainty, and normed modifications of contingent uncertainity have been proposed for the two-way contingency table. The asymptotic standard errors of the estimates are derived. (Author)
Descriptors: Data Analysis, Sampling, Statistical Analysis
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Wainer, Howard; Schacht, Stephen – Psychometrika, 1978
Tukey's scheme for finding separations in univariate data strings is described and tested. It is found that one can use the size of a data gap coupled with its ordinal position in the distribution to determine the likelihood of its having arisen by chance. (Author/JKS)
Descriptors: Data Analysis, Goodness of Fit, Probability, Statistical Analysis
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McClelland, Gary; Coombs, Clyde H. – Psychometrika, 1975
ORDMET is applicable to structures obtained from additive conjoint measurement designs, unfolding theory, general Fechnerian scaling, types of multidimensional scaling, and ordinal multiple regression. A description is obtained of the space containing all possible numerical representations which can satisfy the structure, size, and shape of which…
Descriptors: Algorithms, Computer Programs, Data Analysis, Matrices
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Hettmansperger, Thomas P.; Thomas, Hoben – Psychometrika, 1973
This paper presents a procedure for estimating J scale (latent continuum) probabilities given a set of I scales (preference judgements). (Editor/RK)
Descriptors: Child Psychology, Computers, Data Analysis, Models
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Young, Forrest W. – Psychometrika, 1981
Alternating least squares and optimal scaling are presented as two approaches to the quantitative analysis of qualitative data. A variety of statistical approaches to this problem are discussed. Three examples are presented. (JKS)
Descriptors: Data Analysis, Goodness of Fit, Hypothesis Testing, Multidimensional Scaling
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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
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Tuinman, J. Jaap – Psychometrika, 1973
When teaching elementary concepts on information theory a problem keeps reoccurring which, if only for pedagogical reasons, deserves discussion. (Author)
Descriptors: Concept Formation, Data Analysis, Information Theory, Mathematical Models
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Lingoes, James C. – Psychometrika, 1971
Descriptors: Algebra, Data Analysis, Geometric Concepts, Mathematical Models
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Klastorin, T. D. – Psychometrika, 1980
The problem of objectively comparing two independently determined partitions of N objects or variables is discussed. A similarity measure based on the simple matching coefficient is defined and related to previously suggested measures. (Author/JKS)
Descriptors: Correlation, Data Analysis, Judges, Mathematical Formulas
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