A nonmetric coordinate adjustment technique determining scale values for objects whose interobject intervals (differences in subjective value) have been directly compared is developed. In Monte Carlo simulations, the degree of metric determinancy of the scale values appears quite high even when the amount of error is relatively high. (Author/JKS)

Contrasting positions about the evaluation of multiple tests of constraints and control of Type I errors in structural equation modeling (SEM) are presented. It is argued that researchers should consider controlling for Type I errors in evaluating multiple tests of constraints for other than exploratory analyses. (SLD)

Discusses assumptions of multiple regression that are not robust to violation: linearity, reliability of measurement, homoscedasticity, and normality. Stresses the importance of checking assumptions. (SLD)

Used simulation to study two different approaches to latent variable interaction modeling with continuous observed variables: (1) a LISREL 8.30 program and (2) data analysis through PRELIS2 and SIMPLIS programs. Results show that parameter estimation was similar but standard errors were different. Discusses differences in ease of implementation.…

The population discrepancy between Cronbach's Coefficient Alpha (L. Cronbach, 1951) and scale reliability with fixed congeneric measure, uncorrelated errors, and sampling of subjects was studied. The difference is expressed in terms of the individual component violations of the assumption of equal tau-equivalence that is necessary and sufficient…

Derives a method for estimating conditional measurement error variances, that is, error variances specific to individual examinees or specific to each point on the raw score scale of the test. Uses empirical data to corroborate the principal theoretical deductions. (Author/SLD)

The purpose of this study was to empirically evaluate the impact of loglinear presmoothing accuracy on equating bias and variability across chained and post-stratification equating methods, kernel and percentile-rank continuization methods, and sample sizes. The results of evaluating presmoothing on equating accuracy generally agreed with those of…

We present a fun activity that can be used to introduce students to error analysis: the M&M game. Students are told to estimate the number of individual candies plus uncertainty in a bag of M&M's. The winner is the group whose estimate brackets the actual number with the smallest uncertainty. The exercise produces enthusiastic discussions and…

Curriculum-based measurement of oral reading fluency (CBM-R) procedures have been developed to screen and evaluate student performance in reference to local norms and/or benchmarks. Recent changes in federal law have set the stage to use CBM-R data within a response to intervention model to guide high-stakes educational decisions (e.g.,…

A method is outlined for evaluating the reliability and criterion validity of weighted scales based on sets of unidimensional measures. The approach is developed within the framework of latent variable modeling methodology and is useful for point and interval estimation of these measurement quality coefficients in counseling and education…

Properties of the Spearman correction for attenuation were investigated using Monte Carlo methods, under conditions where correlations between error scores exist as a population parameter and also where correlated errors arise by chance in random sampling. Equations allowing for all possible dependence among true and error scores on two tests at…

This article proposes an intuitive approach for predictive discriminant analysis with mixed continuous, dichotomous, and ordered categorical variables that are defined via an underlying multivariate normal distribution with a threshold specification. The classification rule is based on the comparison of the observed data logarithm probability…

Value added has emerged as a hot-button topic in the assessment literature, due in large part to the Commission on the Future of Higher Education. Value added, as conceptualized by Astin (1985), reflects talent development, "changes in the student from the beginning to the end of an educational program. These changes can cover a wide range of…

In this study, the authors assess several strategies created on the basis of the Mantel-Haenszel (MH) procedure for conducting differential item functioning (DIF) analysis with small samples. One of the analytical strategies is a loss function (LF) that uses empirical Bayes Mantel-Haenszel estimators, whereas the other strategies use the classical…

In February 2008, the School Choice Demonstration Project (SCDP) issued its first report on the fiscal impact of the Milwaukee Parental Choice Program (MPCP) on taxpayers in Milwaukee and the state of Wisconsin. There are two reasons to update the 2008 report. First, the figures will naturally change with the continuing growth of the voucher…