NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 20 results Save | Export
Peer reviewed Peer reviewed
Knezek, Gerald; Wallace, Susan; Dunn-Rankin, Peter – Psychometrika, 1998
The accuracy of Kendall's chi square approximation (M. Kendall, 1962) to circular triad distributions was assessed by comparing estimated indices to enumerated values across upper and lower tails of cumulative proportions of circular triad distributions. In general, the approximation was found to be quite good, and its use is discussed. (SLD)
Descriptors: Chi Square, Mathematical Models, Psychometrics, Statistical Distributions
Peer reviewed Peer reviewed
Dillon, William R.; Bockenholt, Ulf – Psychometrika, 1997
This paper presents two probabilistic models based on the logistic and the normal distribution for the analysis of dependencies in individual paired comparison judgments such as might occur in educational research. Three applications illustrate the approach. (SLD)
Descriptors: Comparative Analysis, Educational Research, Mathematical Models, Probability
Peer reviewed Peer reviewed
Kamakura, Wagner A. – Psychometrika, 1991
Two ideal-point probabilistic choice models from the external analysis of preferences are presented that allow for more flexible distributions of ideal-points. The first extends the probit model of W. Kamakura and R. Srivastava. The second is based on simplifying assumptions that lead to a multidimensional histogram of ideal-points. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Graphs, Mathematical Models
Peer reviewed Peer reviewed
Lee, Sik-Yum; And Others – Psychometrika, 1989
The frequencies of "m" independent "p-way" contingency tables are analyzed by a model that assumes that the ordinal category data in each of "m" groups are generated from a latent continuous multivariate normal distribution. The model permits analysis of several groups of individuals simultaneously. (TJH)
Descriptors: Algorithms, Equations (Mathematics), Mathematical Models, Multivariate Analysis
Peer reviewed Peer reviewed
Bloxom, Bruce – Psychometrika, 1985
The use of semiparametric models may require incorporating additional functions which do not vary across distributions and may require expressing the models in terms of the joint distribution of response class and response time. (Author/LMO)
Descriptors: Mathematical Models, Psychometrics, Reaction Time, Regression (Statistics)
Peer reviewed Peer reviewed
Grass, Alan L.; Perry, Philippa – Psychometrika, 1983
A procedure for inferring the validity of a selection test as a predictor of some criterion when the available data are limited due to prior selection is described. (Author/JKS)
Descriptors: Mathematical Models, Predictive Measurement, Predictive Validity, Selection
Peer reviewed Peer reviewed
Dzhafarov, Ehtibar N. – Psychometrika, 1993
A systematic investigation of the Grice modeling scheme for response time (RT) clarifies fundamental notions about RT modeling. The analysis presented can be used to determine what in a certain RT model constitutes a set of empirically testable assumptions and what is merely an arbitrary choice of mathematical language. (SLD)
Descriptors: Equations (Mathematics), Evaluation Criteria, Mathematical Models, Probability
Peer reviewed Peer reviewed
Bloxom, Bruce – Psychometrika, 1985
A constrained quadratic spline is proposed as an estimator of the hazard function of a random variable. A maximum penalized likelihood procedure is used to fit the estimator to a sample of psychological response times. (Author/LMO)
Descriptors: Estimation (Mathematics), Goodness of Fit, Mathematical Models, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
Snijders, Tom A. B. – Psychometrika, 1991
A complete enumeration method and a Monte Carlo method are presented to calculate the probability distribution of arbitrary statistics of adjacency matrices when these matrices have the uniform distribution conditional on given row and column sums, and possibly on a given set of structural zeros. (SLD)
Descriptors: Computer Simulation, Equations (Mathematics), Mathematical Models, Matrices
Peer reviewed Peer reviewed
Wilcox, Rand R. – Psychometrika, 1992
A method of comparing one-step M-estimates of location for heavy tailed distributions is proposed and investigated. Simulations indicate that the new procedure provides good control over Type I errors and has more power than do some other methods for dealing with heavy tailed distributions. (SLD)
Descriptors: Comparative Analysis, Estimation (Mathematics), Experimental Groups, Mathematical Models
Peer reviewed Peer reviewed
Bockenholt, Ulf – Psychometrika, 1993
A flexible class of stochastic mixture models is introduced and illustrated for analysis and interpretation of individual differences in recurrent choice and other types of count data. These models are derived by specifying elements of the choice process at the individual level. An easy-to-implement algorithm is presented for parameter estimation.…
Descriptors: Bayesian Statistics, Decision Making, Equations (Mathematics), Estimation (Mathematics)
Peer reviewed Peer reviewed
Bentler, Peter M. – Psychometrika, 1983
Current practice in structural modeling of variables is limited to means and covariances based on multivariate normality assumptions. This article extends structural equation models to higher order product moments and to non-normal distributions. Areas of possible research are described. (Author/JKS)
Descriptors: Analysis of Covariance, Factor Analysis, Least Squares Statistics, Mathematical Models
Peer reviewed Peer reviewed
Swaminathan, Hariharan; Gifford, Janice A. – Psychometrika, 1985
A Bayesian procedure is developed for the estimation of parameters in the two-parameter logistic item response model. Joint modal estimates of the parameters are obtained and procedures for the specification of prior information are described. (Author/LMO)
Descriptors: Bayesian Statistics, Estimation (Mathematics), Latent Trait Theory, Mathematical Models
Peer reviewed Peer reviewed
Bedrick, Edward J. – Psychometrika, 1990
Asymptotic distributions of H. Brogden's and F. Lord's modified sample biserial correlation coefficients (SBCCs) are derived. Asymptotic variances of these estimators are evaluated for bivariate normal populations and compared to the maximum likelihood estimator's asymptotic variance. These estimators are less variable than ordinary SBCCs when the…
Descriptors: Correlation, Equations (Mathematics), Estimation (Mathematics), Mathematical Models
Peer reviewed Peer reviewed
Storms, Gert; Delbeke, Luc – Psychometrika, 1992
Y. Takane and J. Sergent developed a model (MAXRT) for scaling same/different judgments and response times (RTs) simultaneously. The adequacy of the assumption that RTs are distributed log-normally is considered, and the effect of a violation of this assumption is investigated via a computer simulation. (SLD)
Descriptors: Computer Simulation, Equations (Mathematics), Goodness of Fit, Mathematical Models
Previous Page | Next Page ยป
Pages: 1  |  2