Research supported by a grant from the Public Health Service, National Institute of Mental Health. (DD)

This article proposes a new approach to the statistical analysis of pairwisepresent covariance structure data. The estimator is based on maximizing the complete data likelihood function, and the associated test statistic and standard errors are corrected for misspecification using Satorra-Bentler corrections. A Monte Carlo study was conducted to…

A multi-faceted Rasch measurement (MFRM) model was used to analyze a clinical skills assessment of 173 fourth-year medical students in a Midwestern medical school to investigate four types of rater errors: leniency, inconsistency, halo, and restriction of range. Each student performed six clinical tasks with six standardized patients (SPs), who…

Generally, ratings have notoriously low inter-rater reliabilities. Because of differences in orientation, background, and expectations, ratings are seldom made from the same point of reference; thus, many types of error mask the true rating variance. Guilford's technique identified most types of constant error by analysis of variance and then…

The optimum weighting of variables to predict a dependent-criterion variable is an important problem in nearly all of the social and natural sciences. Although the predominant method, multiple regression analysis (MR), yields optimum weights for the sample at hand, these weights are not generally optimum in the population from which the sample was…

Errors of misclassification and their effects on categorical data analysis are discussed. The chi-square test for equality of two proportions is examined in the context of errorful categorical data. The effects of such errors are illustrated. A correction procedure is developed and discussed. (Author/MH)

It is well-known that for normally distributed errors parametric tests are optimal statistically, but perhaps less well-known is that when normality does not hold, nonparametric tests frequently possess greater statistical power than parametric tests, while controlling Type I error rate. However, the use of nonparametric procedures has been…

To deal with nonnormal and heterogeneous data for the one-way fixed effect analysis of variance model, the authors adopted a trimmed means method in conjunction with Hall's invertible transformation into a heteroscedastic test statistic (Alexander-Govern test or Welch test). The results of simulation experiments showed that the proposed technique…

Introduction: Stress in Spanish is associated with an orthographic mark that indicates stress, but there are also other clues that point to it. Most words have the same stress (on the penultimate syllable), and closed syllables (syllables ending in a consonant) attract the stress. In this paper we study these clues, and consequently the function…

Results from the National Assessment of Educational Progress (NAEP) and other large scale tests are often reported as rank ordered lists showing mean values for each of the 50 states. Using data from the 2003 State NAEP Assessment, this paper examines the standard errors associated with State NAEP scores and explains why the use of rank order…

Three procedures used to control Type I error rate in stepwise regression analysis are forward selection, backward elimination, and true stepwise. In the forward selection method, a model of the dependent variable is formed by choosing the single best predictor; then the second predictor which makes the strongest contribution to the prediction of…

Described and listed herein with concomitant sample input and output is the Fortran IV program which estimates parameters and standard errors of estimate per parameters for parameters estimated through multiple matrix sampling. The specific program is an improved and expanded version of an earlier version. (Author/BJG)

Campbell (l969) argued for the interrupted time-series experiment as a useful methodology for testing intervention effects in the social sciences. The validity of the statistical hypothesis testing of time-series, is, however, dependent upon the proper identification of the underlying stochastic nature of the data. Several types of model…

Data from the national evaluation of Project Follow Through were analyzed using analysis of covariance with and without correcting the pretest for unreliability. Such corrections led to some changes in conclusions. There are many disagreements in the literature about the appropriateness of correction for unreliability. (Author/CTM)

A procedure is presented for the analysis of rating data with correlated intrajudge and uncorrelated interjudge measurement errors. Correlations between true scores on different rating dimensions, reliabilities for each judge on each dimension and correlations between intrajudge errors can be estimated given a minimum of three raters and two…