This study used an analysis of variance (ANOVA)-like approach to predict reading proficiency with student, teacher, and school-level predictors based on a 3-level hierarchical generalized linear model (HGLM) analysis. National Assessment of Educational Progress (NAEP) 2000 reading data for 4th graders sampled from 46 states of the United States of…

This experiment involved college students (N = 464) working on an authentic learning task (writing an essay) under 3 conditions: no feedback, detailed feedback (perceived by participants to be provided by the course instructor), and detailed feedback (perceived by participants to be computer generated). Additionally, conditions were crossed with 2…

The present study examines potential variation in the family environments of African American and Caucasian males and females coming to the attention of the juvenile court. Results of initial analysis of variance (ANOVA) procedures indicated a significant Gender x Ethnicity interaction on scores from the family/parenting domain of the Global Risk…

A non-arbitrary method for the identification and scale setting of latent variables in general structural equation modeling is introduced. This particular technique provides identical model fit as traditional methods (e.g., the marker variable method), but it allows one to estimate the latent parameters in a nonarbitrary metric that reflects the…

Drawing from research and observations at Lansing Community College (Michigan) (LCC), this paper argues that typical arithmetic courses do little to prepare students to master algebra, and proposes an alternative set of arithmetic skills as actual prerequisites to algebra. The first section offers a description of the algebra sequence at LCC,…

The relationship between analysis of variance (ANOVA) methods and their analogs (analysis of covariance and multiple analyses of variance and covariance--collectively referred to as OVA methods) and the more general analytic case is explored. A small heuristic data set is used, with a hypothetical sample of 20 subjects, randomly assigned to five…

The development of new statistical methods of log-linear models by Leo Goodman has led to major advances in the statistical analysis of categorical data. Goodman's logit analysis, (the simplest form of log-linear models) can be applied in evaluation studies to estimate the "main effects" and "interaction effects" of categorical…

Demonstrates that variables that are the basis for admitting students to graduate school must have low correlations with future measures of the success of these students. The question of interest in the admissions procedure is how well the variables evaluate the applicant population rather than the selected students. (GS)

This research addressed the relationship of alternative social class measures (based on occupation) for elementary attendance areas in Kansas City, Missouri, with the median achievement of sixth graders on standardized tests. Correlation, regression, and multivariate analyses were used to study the relationships between school achievement and…

Using data originally report by others, this paper focuses on the relative merits of three separate statistical approaches to measuring occupational sex discrimination. The sample was a national probability sample of 539 women and 993 men. Demographic factors such as race, sex and age, education, job tenure and supervisory status served as the…

Failure to identify and account for the effect of moderator variables is an important reason for the low explanatory power of much educational research. Pre-existing subgroups such as sex, ethnicity, and curriculum offer an easily identifiable and theoretically meaningful source of moderator variables. Tests for intercept and slope differences in…

In the context of the rapid technological advance characteristic of post-industrial societies, organizational theorists have paid a great deal of attention to the problem of organizational change. One of the central issues in various analyses of the problem of change in general has been the observation that all organizations do not respond to…

An investigation was undertaken of the intercorrelations among residuals obtained by applying regression techniques under two conditions: (1) mean sixth-grade Metropolitan Achievement Test reading scores predicted by mean second-grade Stanford Achievement Test reading scores, and (2) mean sixth-grade reading scores predicted by mean second-grade…

The study attempted to demonstrate significant relationships between systematically derived occupational descriptors and selected measures of worker characteristics in the affective domain. The predictor variables were derived from the Occupation Analysis Inventory (OAI) and consisted of work-dimension scores describing occupations in terms of…