The influence of sample size (N) and model parsimony on a set of 22 goodness of fit indices was investigated, including those typically used in confirmatory factor analysis and some recently developed indices. For sample data simulated from 2 known population data structures, values for 6 of 22 fit indices were reasonably independent of N and were…

An investigation of the effects of randomly missing data in two-predictor regression analyses is described. The differences in the effectiveness of five common treatments of missing data on estimates of R-squared values and each of the two standardized regression weights is also investigated. Bootstrap sample sizes of 50, 100, and 200 were drawn…

Invariance procedures have been known for over three decades. Through the years, these procedures have not been widely used by researchers. One reason for the lack of use is that most of the articles on invariance procedures have been mathematically oriented. This mathematical orientation and the lack of mathematical background on the part of most…

The purpose of the present investigation is to examine the influence of sample size (N) and model complexity on a set of 23 goodness-of-fit (GOF) indices, including those typically used in confirmatory factor analysis. The focus was on two potential problems in assessing GOF: (1) some fit indices are substantially influenced by N so that tests of…

When latent class parameters are estimated, maximum likelihood and Pearson chi-square statistics can be derived for assessing the fit of the model to the data. This study used simulated data to compare these two statistics, and is based on mixtures of latent binomial distributions, using data generated from five dichotomous manifest variables.…

This paper provides researchers with a method of determining sample size for a given power level in the preparation of a single group exploratory repeated measure analysis. The rationale for determining sample size which takes into consideration the powers and assumptions of both the adjusted univariate and multivariate repeated measures tests is…

A method is described for choosing sample sizes when the domain to be sampled consists of a finite set of sentences and the purpose is to construct a test to assess the comprehension or the readability of written discourse. The testing method is that proposed in Bormuth's work on transformational analysis within a criterion-referenced measurement…

Levin's (1975) sample-size determination procedure for completely randomized analysis of variance designs is extended to designs in which antecedent or blocking variables information is considered. In particular, a researcher's choice of designs is framed in terms of determining the respective sample sizes necessary to detect specified contrasts…

The two purposes of this investigation were to study the effects of variance heterogeneity on three selected multiple comparison procedures and to determine if either of two nonstandard methods would be superior to the conventional methods based on mean square within. The three procedures studied were the Wholly Significant Difference Test (WSD),…

This study examined the sampling distribution of the analysis of variance F ratio in the two sample cases when it followed a preliminary test for variance equality. When the population variances were equal, the sampling distribution approximated the theoretical F distribution quite well, but not when population variances differed. (JAZ)

The method of unweighted means in the multivariate analysis of variance with unequal sample sizes was investigated. By approximating the distribution of the hypothesis sums-of-squares-and-cross-products with a Wishart distribution, multivariate test statistics were derived. Monte Carlo methods and a numerical example illustrate the technique.…

Randomized response measurement techniques have been proposed to overcome subject unwillingness to answer embarrassing or threatening questions truthfully. Many of the applications to date have dealt with health-related issues. This article demonstrates the application of the unrelated question randomized response design with one such question.…

Data were simulated to conform to covariance patterns taken from personnel selection literature. Incomplete data matrices were treated by four methods. Treated matrices were subjected to multiple regression analyses. Resulting regression equations were compared to equations from original, complete data. Results supported using covariate…

Variance stabilizing transformations yield statistics whose standard errors are only influenced by the number of observations on which they are based. A solution that can be extended to inference on all of these parameters is presented and illustrated via three examples. (TJH)

Strength and integrity issues are central to planning and interpreting evaluation studies. In the absence of actual data from previous studies, estimates of strength and integrity can often be derived in other ways. These issues of strength and integrity are described in the context of resource allocation in evaluation research. (Author/BS)