A Statistical Analysis System (SAS) macro procedure for performing a jackknife analysis on structure coefficients in discriminant analysis is described together with issues and caveats about its use in multivariate methods. An example of use of the SAS macro is provided. (SLD)

Proposes a new method, reliability generalization, for meta-analysis. Reliability generalization characterizes the typical reliability of scores for a test across studies, the amount of variability in reliability coefficients, and the sources of this variability. Analysis of 87 reliability coefficients for two scales of the Bem Sex Role Inventory…

A new measure of work time correlates well with the standard self-reported workweek method. However, a closer look reveals that reference periods (last week versus last year) have an impact on some workers in the distribution. (Author)

Yen and Burket suggested that shrinkage in vertical equating cannot be understood apart from multidimensionality. Reviews research on reliability, multidimensionality, and scale shrinkage, and explores issues of practical importance to educators. (SLD)

Proposes a method for obtaining standard errors and confidence intervals of composite reliability coefficients based on bootstrap methods and using a structural-equation-modeling framework for estimating the composite reliability of congeneric measures (T. Raykov, 1997). Demonstrates the approach with simulated data. (SLD)

Studied whether the standard z-statistic that evaluates whether a factor loading is statistically necessary is correctly applied in such situations and more generally when the variables being analyzed are arbitrarily rescaled. An example illustrates that neither the factor loading estimates nor the standard error estimates possess scale…

Analysis of panel data on immigrants to Germany 1984-94 focused on the relationship of language proficiency and productivity. Results show how time-varying measurement errors can lead to downward bias on the effect of fluency on earnings. Language proficiency is thus far more important than studies have suggested. (Contains 30 references.) (SK)

Derived simplified equations to compute the standard error of the frequency estimation method for equating score distributions that are continuized using a uniform or Gaussian kernel function. Results from two empirical studies indicate that these equations work reasonably well for moderate size samples. (SLD)

J. P. Minda and J. D. Smith (2001) showed that a prototype model outperforms an exemplar model, especially in larger categories or categories that contained more complex stimuli. R. M. Nosofsky and S. R. Zaki (2002) showed that an exemplar model with a response-scaling mechanism outperforms a prototype model. The authors of the current study…

One approach to the analysis of repeated measures data allows researchers to model the covariance structure of their data rather than presume a certain structure, as is the case with conventional univariate and multivariate test statistics. This mixed-model approach, available through SAS PROC MIXED, was compared to a Welch-James type statistic.…

Improper structures arising from the estimation of parameters in structural equation models (SEMs) are commonly an indication that the model is incorrectly specified. The use of boundary solutions cannot in general be recommended. Partly on the basis of theory given by Van Driel, and partly by example, suggestions are made for using the data as…

This article introduces a procedure for estimating reliability in which equivalent halves of a given test are systematically created and then administered a few days apart so that transient error can be included in the error calculus. The procedure not only estimates complete reliability (taking into account both specific-factor error and…

In assessment programs where scores are reported for individual examinees, it is desirable to have responses to performance exercises graded by more than one rater. If more than one item on each test form is so graded, it is also desirable that different raters grade the responses of any one examinee. This gives rise to sampling designs in which…

Rater bias has long been considered a source of error in observer ratings but has been ignored by process researchers using participant ratings. In particular, rater variance, or differences in generalized favorable or unfavorable perceptions of others, represents a neglected source of error in studies using participant ratings. The author…

R. D. Howell, E. Breivik, and J. B. Wilcox (2007) have argued that causal (formative) indicators are inherently subject to interpretational confounding. That is, they have argued that using causal (formative) indicators leads the empirical meaning of a latent variable to be other than that assigned to it by a researcher. Their critique of causal…