Psychometrika
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Sequential social network data
Psychometrika - Tập 53 - Trang 261-282 - 1988
A new method is proposed for the statistical analysis of dyadic social
interaction data measured over time. The data to be studied are assumed to be
realizations of a social network of a fixed set of actors interacting on a
single relation. The method is based on loglinear models for the probabilities
for various dyad (or actor pair) states and generalizes the statistical methods
proposed by Holla...
On methods in the analysis of profile data
Psychometrika - Tập 24 - Trang 95-112 - 1959
This paper is concerned with methods for analyzing quantitative, non-categorical
profile data, e.g., a battery of tests given to individuals in one or more
groups. It is assumed that the variables have a multinormal distribution with an
arbitrary variance-covariance matrix. Approximate procedures based on classical
analysis of variance are presented, including an adjustment to the degrees of
freed...
Matching models in the analysis of cross-classifications
Psychometrika - Tập 44 - Trang 21-41 - 1979
Inference models motivated by the combinatorial chance literature and the
concept of object matching may be used in the analysis of a contingency table if
the conditional assumption of fixed row and column totals is imposed. More
specifically, by developing a matching reinterpretation for several problems of
interest in the prediction analysis of cross-classifications—as defined by
Hildebrand, Lai...
A simple proof of a personnel classification theorem
Psychometrika - Tập 19 - Trang 205-208 - 1954
A simple algebraic proof of a theorem defining the optimal solution to the
personnel classification problem is given. If a set of constants, one for each
job, are known, the theorem indicates that each individual should be classified
by adding the constants to the estimates of the individual's productivity in the
several jobs and selecting the job for which the resulting sum is highest.
A note on invariance in three-mode factor analysis
Psychometrika - Tập 33 - Trang 347-350 - 1968
Previous results of the application of Lawley's selection theorem to the common
factor analysis model are extended to a revision of Tucker's three-mode
principal components model. If the regression of the three-mode manifest
variates on variates used to select subpopulations is both linear and
homoscedastic, the two factor pattern matrices, the core matrix, and the
residual variance-covariance mat...
The comparison of interdependent correlations between optimal linear composites
Psychometrika - Tập 49 - Trang 11-24 - 1984
A general procedure is provided for comparing correlation coefficients between
optimal linear composites. The procedure allows computationally efficient
significance tests on independent or dependent multiple correlations, partial
correlations, and canonical correlations, with or without the assumption of
multivariate normality. Evidence from some Monte Carlo studies on the
effectiveness of the me...
A model for response tendency combination
Psychometrika - Tập 22 - Trang 373-380 - 1957
A model is proposed to predict the performance on a compound stimulus as a
function of the performance on the component stimuli in a two-choice situation.
Data from a learning task are used to evaluate the model.
Heteroscedastic Latent Trait Models for Dichotomous Data
Psychometrika - Tập 80 - Trang 625-644 - 2014
Effort has been devoted to account for heteroscedasticity with respect to
observed or latent moderator variables in item or test scores. For instance, in
the multi-group generalized linear latent trait model, it could be tested
whether the observed (polychoric) covariance matrix differs across the levels of
an observed moderator variable. In the case that heteroscedasticity arises
across the laten...
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