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Computational Formulas for Multivariate Strength of Association from Approximate "F" and "X2" Tests.
Peer reviewedHaase, Richard F. – Multivariate Behavioral Research, 1991
Computational formulas are developed for recovering measures of strength of association from approximate "F" tests and chi-square tests associated with four multivariate test statistics. The four statistics include Wilke's Lambda; Pillai's Trace "V"; Hotelling's Trace "T"; and Roy's greatest characteristic root…
Descriptors: Chi Square, Estimation (Mathematics), Mathematical Formulas, Mathematical Models
Peer reviewedRodgers, Joseph Lee; Thompson, Tony D. – Applied Psychological Measurement, 1992
A flexible data analysis approach is proposed that combines the psychometric procedures seriation and multidimensional scaling. The method, which is particularly appropriate for analysis of proximities containing temporal information, is illustrated using a matrix of cocitations in publications by 18 presidents of the Psychometric Society.…
Descriptors: Citations (References), Cluster Analysis, Mathematical Models, Matrices
Peer reviewedKrolak-Schwerdt, Sabine; Eckes, Thomas – Multivariate Behavioral Research, 1992
Procedures for determining the number of clusters in a data set are explored. A proposed stopping rule, the GRAPH criterion, is compared to four stopping rules currently in use. The GRAPH criterion's mathematically attractive properties and utility in solving the number-of-clusters problem are demonstrated. (SLD)
Descriptors: Cluster Analysis, Data Collection, Equations (Mathematics), Evaluation Criteria
Peer reviewedChant, David; Dalgleish, Lenard I. – Multivariate Behavioral Research, 1992
A Statistical Analysis System (SAS) macro procedure for performing a jackknife analysis on structure coefficients in discriminant analysis is described together with issues and caveats about its use in multivariate methods. An example of use of the SAS macro is provided. (SLD)
Descriptors: Computer Software, Correlation, Discriminant Analysis, Error of Measurement
Peer reviewedLance, Charles E.; And Others – Educational and Psychological Measurement, 1990
A causal model of halo error (HE) is derived. Three hypotheses are formulated to explain findings of negative HE. It is suggested that apparent negative HE may have been misinferred from existing correlational measures of HE, and that positive HE is more prevalent than had previously been thought. (SLD)
Descriptors: Causal Models, Correlation, Definitions, Equations (Mathematics)
Peer reviewedAjiferuke, Isola – Journal of the American Society for Information Science, 1991
Discusses bibliometric studies of research collaboration and describes the development of a theoretical model for the distribution of authorship. The shifted Waring distribution model and 15 other probability models are tested for goodness-of-fit, and results are reported that indicate the shifted inverse Gaussian-Poisson model provides the best…
Descriptors: Bibliometrics, Collaborative Writing, Goodness of Fit, Mathematical Models
Peer reviewedDeSarbo, Wayne S.; And Others – Psychometrika, 1990
A nonspatial operationalization of the Krumhansl distance-density model of similarity is presented. The conceptual model and empirical evidence are reviewed. A nonspatial, tree-fitting methodology is described, which is sufficiently flexible to fit several competing hypotheses of similarity formation. Extensions to spatial models, three-way…
Descriptors: Algorithms, Cluster Analysis, Goodness of Fit, Mathematical Models
Peer reviewedLattin, James M. – Psychometrika, 1990
An approach is presented for determining unidimensional scale estimates that are relatively insensitive to limited inconsistencies in paired comparisons data. The solution procedure--a minimum-cost network-flow problem--is presented in conjunction with a sensitivity diagnostic that assesses the influence of a single pairwise comparison on…
Descriptors: Estimation (Mathematics), Least Squares Statistics, Mathematical Models, Problem Solving
Peer reviewedNishisato, Shizuhiko – Psychometrika, 1993
In Guttman-type quantification of contingency tables and multiple-choice data (incidence data), the trivial solution because of marginal constraints is typically removed before quantification. Relevant formulas are presented for cases affected by the trivial solution and those that are not. (SLD)
Descriptors: Classification, Equations (Mathematics), Incidence, Mathematical Models
Peer reviewedLoewenstein, George F.; Prelec, Drazen – Psychological Review, 1993
Results from 2 studies involving 52 and 57 adults, respectively, suggest that, when an intertemporal trade-off is embedded in 2 alternative sequences of outcomes, the psychological perspective (frame) shifts and individuals become more farsighted, often wishing to postpone the better outcome to the end. Implications for studying intertemporal…
Descriptors: Adults, Attitudes, Decision Making, Equations (Mathematics)
Peer reviewedEnglish, Justin; Allison, James – Psychological Review, 1993
A model is presented that demonstrates that a random response to external constraint can produce results similar to those predicted by more complex models. Behavior that appears rational, optimal, or adaptive may truly be a random response to external constraint. Predictions based on this model may provide appropriate null hypotheses. (SLD)
Descriptors: Behavior Patterns, Graphs, Hypothesis Testing, Mathematical Models
Peer reviewedYuan, Ke-Hai; Bentler, Peter M. – Psychometrika, 2000
Studied whether the standard z-statistic that evaluates whether a factor loading is statistically necessary is correctly applied in such situations and more generally when the variables being analyzed are arbitrarily rescaled. An example illustrates that neither the factor loading estimates nor the standard error estimates possess scale…
Descriptors: Error of Measurement, Estimation (Mathematics), Mathematical Models, Maximum Likelihood Statistics
Peer reviewedButter, Rene; De Boeck, Paul – Psychometrika, 1998
An item response theory model based on the Rasch model is proposed for composite tasks, those decomposed into subtasks of different kinds. The model, which is illustrated with an application to spelling tasks, constrains the difficulties of the composite tasks to be linear combinations of the difficulties of the subtask items. (SLD)
Descriptors: Difficulty Level, Item Response Theory, Mathematical Models, Spelling
Peer reviewedKerley, Lyndell; Knisley, Jeff – Primus, 2001
Although data is often used to estimate parameters for models in calculus and differential equations, the models themselves are seldom justified. Uses the data itself to motivate mathematical models in introductory mathematics courses. Illustrates various regression and optimization techniques. (Author/ASK)
Descriptors: College Mathematics, Higher Education, Mathematical Models, Mathematics Instruction
Peer reviewedHilmer, Michael J. – Economics of Education Review, 2001
Estimates a college-attendance equation for a common set of students (from the High School and Beyond Survey) using three popular econometric specifications: the multinomial logit, the ordered probit, and the bivariate probit. Estimated marginal effects do not differ significantly across the three specifications. Choice of specification may not…
Descriptors: Econometrics, Enrollment Influences, Estimation (Mathematics), Higher Education


