Hypothetical data sets are used to demonstrate how canonical correlation methods subsume other commonly utilized parametric methods. Analysis of variance, analysis of covariance, multiple analysis of variance, and multiple analysis of covariance are heavily used by educational researchers. It is concluded that researchers would do well to consider…

The advantages and disadvantages of three analytic methods used to analyze experimental data in educational research are discussed. The same hypothetical data set is used with all methods for a direct comparison. The Analysis of Variance (ANOVA) method and its several analogs are collectively labeled OVA methods and are evaluated. Regression…

The present study was conducted to explore library users' desired service quality levels on the twenty-two core LibQUAL+ items. Specifically, we explored similarities and differences in users' desired library service quality levels across user groups (i.e., undergraduate students, graduate students, and faculty), across geographic locations (i.e.,…

A random sample of all sixth-grade students enrolled in a large urban school district completed the Iowa Tests of Basic Skills. The correspondence of test vectors measured by the test was analyzed. Results suggest that the ITBS does not measure exactly the same constructs across student ethnic groups. (Author)

One of the two major ways of interpreting LibQUAL+[TM] data involves placing perceived service quality ratings within "zones of tolerance" defined as the distances between minimally-acceptable and desired service quality levels. This study compared zones of tolerance on the 25 LibQUAL+[TM] items across undergraduate, graduate student and…

Q-technique factor analysis identifies clusters or factors of people, rather than of variables, and has proven very popular, especially with regard to testing typology theories. The present study investigated the utility of three different protocols for obtaining data for Q-technique studies. These three protocols were: (1) a conventional ipsative…

Canonical correlation analysis is a sophisticated multivariate technique that subsumes all parametric methods (the "t"-test, analysis of variance, analysis of covariance, multivariate analysis of variance, multivariate analysis of covariance, and discriminant analysis) as special cases. This bibliography lists 83 applications of…

Several applications of latent trait models in reading research are discussed, their nature reviewed, and two experiments presented as heuristic applications of the Rasch Model. Two studies of children's comprehension of selected anaphoric structures in prose were performed using both conventional and Rasch Model analyses. Twenty-six children…

Effect sizes have been increasingly emphasized in research as more researchers have recognized that: (1) all parametric analyses (t-tests, analyses of variance, etc.) are correlational; (2) effect sizes have played an important role in meta-analytic work; and (3) statistical significance testing is limited in its capacity to inform scientific…