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A Method for Simulating Non-Normal Distributions.
Peer reviewed Peer reviewed
Fleishman, Allen I. – Psychometrika, 1978
A method of introducing a controlled degree of skew and kurtosis for Monte Carlo studies was derived. The form of such a transformation on normal deviates is given. Analytic and empirical validation of the method is demonstrated. (Author/JKS)
Descriptors: Computer Programs, Monte Carlo Methods, Statistical Analysis, Technical Reports
A Monte Carlo Investigation of Recovery of Structure by ALSCAL
Peer reviewed Peer reviewed
MacCallum, Robert C.; Cornelius, Edwin T., III – Psychometrika, 1977
A Monte Carlo study was carried out to investigate the ability of the ALSCAL multidimensional scaling program to recover true structure inherent in simulated proximity data. The results under varying conditions were mixed. Practical implications and suggestions for further research are discussed. (Author/JKS)
Descriptors: Computer Programs, Individual Differences, Mathematical Models, Monte Carlo Methods
A Monte Carlo Evaluation Of Three Nonmetric Multidimensional Scaling Algorithms
Peer reviewed Peer reviewed
Spence, Ian – Psychometrika, 1972
Discusses the different strategies employed by three practical nonmetric multidimensional scaling algorithms using Monte Carlo techniques. (Author/RK)
Descriptors: Algorithms, Computer Programs, Error of Measurement, Evaluation Methods