The changing achievement relationships among students, from elementary through high school, were investigated between their ages relative to their classmates and their ages at entry into first grade. A secondary analysis was performed on the data collected by the National Assessment of Educational Progress. The sample involved Caucasian students…

The purpose of "What Works in Reading?" was to identify the factors that contribute most strongly to achievement growth in reading. The study, which investigated fourth graders in 25 schools, was run jointly by the Philadelphia School District and the Federal Reserve Bank of Philadelphia, and the respect and understanding that developed…

This study examines the impact of world view and perceived personal competencies on feelings of alienation of black second-semester freshmen on a predominantly white university campus. Forty of the 120 18-year-old, American-born black freshmen volunteered as participants. Twenty-four females and 16 males completed the following instruments: (1)…

A study examined how the factors of sex, tolerance for ambiguity, conflict management style, and argumentativeness relate to the prediction of innovativeness. Ninety-six K-12 public school teachers in a northeastern school district were surveyed using self-report measures for innovativeness, ambiguity tolerance, conflict management style, and…

This report investigated the determinants of college students' overall evaluations of their academic programs (major field of study). The manner in which students weight the various domains of satisfaction and dissatisfaction in determining their level of overall program satisfaction was examined. The gender differences and field differences in…

This study investigates the relationship between an examinee's test anxiety level, degree of person fit, and ability. Three major types of person fit indices measure the degree of unusual response patterns: norm comparison indices; goodness-of-fit indices; and extended indices. Five different person fit indices were calculated for the results of…

A study was conducted to determine if the pre-center incomes/salaries could predict the post-center salaries of participants in the Mountain-Plains program, a residential, family-based education program developed to improve the economic potential and lifestyle of selected student families in a six-state area. By using the reported family income…

Multiple regression in a double cross-validated design was used to predict two performance measures (total variable expense and absence rate) by multi-month period in five industrial firms. The regressions do cross-validate, and produce multiple coefficients which display both concurrent and predictive effects, peaking 18 months to two years…

The effectiveness of measures used in the admissions process to predict performance in and/or graduation from a University of Minnesota dental hygiene program is examined. Students in classes entering from Fall 1977 through Winter 1979 were studied, and predictor and performance measures to be studied were identified by the program. Predictor…

The study of the same people at several occasions is known by various names: panel studies, multi-wave, multi-variable models, cohort analysis, and gain score analysis. The use of econometric concepts, path analysis, and structural equation analysis to study multi-wave, multi-variable models became widespread in methodological practice in the late…

This study tests the general hypothesis that preschool experience has a measurable effect upon children's noncognitive development between the time they enter and the time they leave the preschool program. The California Preschool Competency Scale (CPSCS) was administered to 4-year-old children in a prekindergarten program (PreK) in the fall of…

Classical multiple regression was compared with Bayesian m-group regression, complete with cross-validation. The setting was a post-developmental studies situation in a comprehensive community college. A secondary purpose of the study was to incorporate an advisor prediction of grade point average (GPA) as input into both regression procedures.…

This paper presents a new method for estimating a given latent trait variable by the least-squares approach. The beta weights are obtained recursively with the help of Fourier series and expressed as functions of item parameters of response curves. The values of the latent trait variable estimated by this method and by maximum likelihood method…

The accuracy with which regression models estimate treatment effects is dependent upon a number of conditions. The stability of the regression line (a function of sample size and correlation between pretest and posttest) is said to be the most important of these conditions. The utility of regression models is proportional to the size of the…

A relatively simple procedure for modeling periodic components in time series data is presented in this paper, along with an example of the procedure's use with communication data. Similar to multiple regression analysis, the described procedure has four steps that are based on information about periodic waves and their components, how to create…