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Kaiser, Javaid – 1983
A simulation study was conducted to identify the best hot-deck variation to impute missing values. The three variations included in the study were the hot-deck random, the hot-deck sequential, and the hot-deck distance. The properties of these methods were investigated under three levels of the proportion of incomplete records and four levels…
Descriptors: Correlation, Estimation (Mathematics), Matrices, Multivariate Analysis
Oshima, T. C.; Davey, T. C. – 1994
This paper evaluated multidimensional linking procedures with which multidimensional test data from two separate calibrations were put on a common scale. Data were simulated with known ability distributions varying on two factors which made linking necessary: mean vector differences and variance-covariance (v-c) matrix differences. After the…
Descriptors: Ability, Estimation (Mathematics), Evaluation Methods, Matrices
Wolfle, Lee M.; Ethington, Corinna A. – 1985
The purpose of this paper is to examine the validity of regression estimates when skewed dichotomous scales are used as independent variables. When Pearson product-moment correlations are used to measure zero-order associations involving dichotomous variables, the resulting coefficients underestimate the true associations. As a result, using…
Descriptors: Correlation, Estimation (Mathematics), Matrices, Multiple Regression Analysis
Peer reviewedBrannick, Michael T.; Spector, Paul E. – Applied Psychological Measurement, 1990
Applications of the confirmatory factor analysis block-diagonal model to published data on 18 multitrait-multimethod matrices were reviewed to show widespread estimation problems. Possible causes of estimation difficulties were explored using computer simulations. These problems make the block-diagonal approach less useful than has generally been…
Descriptors: Estimation (Mathematics), Mathematical Models, Matrices, Multitrait Multimethod Techniques
Peer reviewedChan, Wai; And Others – Multivariate Behavioral Research, 1995
It is suggested that using an unbiased estimate of the weight matrix may eliminate the small or intermediate sample size bias of the asymptotically distribution-free (ADF) test statistic. Results of simulations show that test statistics based on the biased estimator or the unbiased estimate are highly similar. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Matrices, Sample Size
Peer reviewedChan, Wai; Bentler, Peter M. – Multivariate Behavioral Research, 1996
A method is proposed for partially analyzing additive ipsative data (PAID). Transforming the PAID according to a developed equation preserves the density of the transformed data, and maximum likelihood estimation can be carried out as usual. Simulation results show that the original structural parameters can be accurately estimated from PAID. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Goodness of Fit, Matrices
Peer reviewedBaker, Frank B. – Applied Psychological Measurement, 1993
Using simulation, the effect that misspecification of elements in the weight matrix has on estimates of basic parameters of the linear logistic test model was studied. Results indicate that, because specifying elements of the weight matrix is a subjective process, it must be done with great care. (SLD)
Descriptors: Error Patterns, Estimation (Mathematics), Item Response Theory, Matrices
Peer reviewedJensen, Arthur R.; Weng, Li-Jen – Intelligence, 1994
The stability of psychometric "g," the general factor of intelligence, is investigated in simulated correlation matrices and in typical empirical data from a large battery of mental tests. "G" is robust and almost invariant across methods of analysis. A reasonable strategy for estimating "g" is suggested. (SLD)
Descriptors: Correlation, Estimation (Mathematics), Factor Analysis, Intelligence


