This study developed a robust linear regression technique based on the idea of weighted least squares. In this technique, a subsample of the full data of interest is drawn, based on a measure of distance, and an initial set of regression coefficients is calculated. The rest of the data points are then taken into the subsample, one after another,…

This study examined the reliability of three methods for detecting differential item functioning (DIF) (i.e., the Mantel-Haenszel method, the standardization method, and the logistic regression method) applied to achievement test data. In addition, the study examined the influences of different sources of error variance, including examinee,…

This paper reviews the literature on methods for dealing with missing data, discusses four commonly used methods, and illustrates these approaches with a small hypothetical data set. Most studies contain some missing data, and the reasons data are missing are many and varied. Four commonly used methods have been identified in the literature: (1)…

This paper examines the differences between multilevel modeling and weighted ordinary least squares (OLS) regression for analyzing data from the National Educational Longitudinal Study 1988 (NELS:88). The final sample consisted of 718 students in 298 schools. Eighteen variables from the NELS:88 dataset were used, with the dependent variable being…

This study used computer simulation to provide information on the percentage of students with learning disabilities expected to be identified under different aptitude-achievement discrepancy eligibility models and criteria and to demonstrate the consequential effects in terms of the extent to which the different models identify students of…

A review of the literature reveals that important statistical algorithms and indices pertaining to logistic regression are being underused. This paper describes logistic regression in comparison with discriminant analysis and linear regression, and suggests that some techniques only accessible through computer syntax should be consulted in…

This study compared the classification performance among parametric discriminant analysis, nonparametric discriminant analysis, and logistic regression in a two-group classification application. Field data from an organizational survey were analyzed and bootstrapped for additional exploration. The data were observed to depart from multivariate…

Two modifications made Cutter's demonstration of regression toward the mean more valuable in introductory statistics and research methodology courses. The outcomes on the first set of dice rolls were paired with those on the second. The regression problem was framed in terms of a common real world comparison. (SR)

A sample of preschool children was used to assess the construct validity of each of the McCarthy Scales of Children's Abilities (MSCA). Clinical interpretation of the General Cognitive Index (GCI) may be warranted, but diagnostic use of the Memory or Motor Scales with preschool children should be avoided. (Author/GK)

Using a degenerate multivariate normal model for the distribution of organismic variables, the form of least-squares regression analysis required to estimate a linear functional relationship between variables is derived. It is suggested that the two conventional regression lines may be considered to describe functional, not merely statistical,…

This article examines some of the difficulties frequently encountered by students when analyzing bivariate data and suggests how they might be overcome. (Author)

An Expectation-Maximization (EM) algorithm in a maximum likelihood framework is developed to estimate finite mixtures of multivariate regression and simultaneous equation models with multiple endogenous variables. A dataset with cross-sectional observations for a diverse sample of businesses illustrates the semiparametric approach. (SLD)

Discussion of communication within organizations and with the outside world focuses on results of a survey of managers in 41 companies that assessed intraorganizational and interorganizational uses of email. Describes the use of factor analysis and regression methodologies to investigate whether a significant relationship existed between internal…

Monte Carlo study results show that the runs test yields markedly asymmetrical error rates in the two tails and that neither directional nor nondirectional tests are satisfactory with respect to Type I errors. The test is not recommended for evaluating the independence of errors in time-series regression models. (SLD)

Reexamined the nature of structural equation modeling (SEM) estimates of autoregressive moving average (ARMA) models, replicated the simulation experiments of P. Molenaar, and examined the behavior of the log-likelihood ratio test. Simulation studies indicate that estimates of ARMA parameters observed with SEM software are identical to those…