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Peer reviewedKrakower, Jack Y.; Zammuto, Raymond F. – Review of Higher Education, 1987
The impact of several environmental and institutional factors on college and university enrollments between 1975-76 and 1980-81 is examined. Separate enrollment analyses of public and private two-year and four-year institutions, and of the major doctoral, comprehensive, and baccalaureate institutions of four-year schools were made. (Author/MLW)
Descriptors: College Environment, Enrollment Projections, Generalization, Higher Education
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1986
An empirical method (PRESS) for examining and contrasting the cross-validated prediction accuracies of some popular algorithms for weighting predictor variables was advanced and examined. The sample specific PRESS method was suggested as most appropriate when selecting among several alternative weighting algorithms to achieve maximum…
Descriptors: Algorithms, Least Squares Statistics, Predictive Measurement, Predictive Validity
Peer reviewedJarjoura, David – Psychometrika, 1983
The problem of predicting universe scores for samples of examinees based on their responses to samples of items is treated. The measurement model categorizes items according to the cells of a table of test specifications, and the linear function derived for minimizing error variance in prediction uses responses to these categories. (Author/JKS)
Descriptors: Error of Measurement, Generalizability Theory, Item Sampling, Prediction
Peer reviewedWilson, Mark; Bock, R. Darrell – American Educational Research Journal, 1985
The linearly ordered content domain (LOCD) concept is discussed. A logistic analysis of the occurrence of first introduction of spelling words into the curriculum is presented, the results, along with word length, number of neutralized vowels, and an index of word familiarity are used to predict word location on the spelling LOCD. (Author/DWH)
Descriptors: Difficulty Level, Elementary Education, Learning Strategies, Predictor Variables
Peer reviewedDiener, Richard A. V. – Journal of the American Society for Information Science, 1984
Analyzes changing information values of journal article titles (measured by counting total number of words, number of keywords, and computing proportion of substantive words). Use of linear regression to determine change patterns for sample of titles from four selected journals, six library journals, and six miscellaneous journals (1951-1980) is…
Descriptors: Data Analysis, Equations (Mathematics), Periodicals, Regression (Statistics)
California Postsecondary Education Commission, 2005
The California Postsecondary Education Commission periodically conducts studies of university eligibility of public high school graduates. The eligibility rates from these studies are the proportion of high school graduates who qualify for freshman admission to California public universities. Eligibility is based on completion of specific high…
Descriptors: High Schools, Standardized Tests, Eligibility, High School Graduates
Mathies, Charles; Bauer, Karen Webber; Allen, Marsha – Online Submission, 2005
This study examined the change in term grade point average (GPA) from 1974 through 2004 for 368,282 undergraduate student records at a large, research-extensive university in the Southeast. Descriptive analyses showed an increase in term GPA and average SAT scores over the 31-year period. Although average SAT and GPA increased, standard deviations…
Descriptors: Grade Inflation, Grade Point Average, Scores, Achievement Tests
Lee, Jaekyung; Coladarci, Theodore – 2002
This study explored the extent to which current adequate yearly progress (AYP) indices reflect real change or a statistical artifact. The objective, in more specific terms, was to investigate regression artifacts in evaluating schools' academic progress and explore methods to overcome their effects in developing AYP measures. Schools in Kentucky…
Descriptors: Academic Achievement, Achievement Gains, Junior High School Students, Junior High Schools
Self-Efficacy and Previous Testing Experiences as Predictors of Test Anxiety among College Students.
Capa, Yesim; Loadman, William E. – 2001
This study examined how college students' test anxiety related to previous testing experiences and self-efficacy. Participants were 29 undergraduate college students enrolled at a Midwestern university. Instruments used to measure the criterion and predictor variables were: Test Anxiety Scale, College Academic Self-efficacy Scale, Generalized…
Descriptors: College Students, Educational Experience, Higher Education, Predictor Variables
Fraas, John W.; Newman, Isadore – 1997
When investigating the impact of predictor variables on an outcome variable or measuring the effectiveness of an educational program, educational researchers and program evaluators cannot ignore the possible influences of interaction effects. The purpose of this paper is to present a procedure that educational researchers can follow in order to…
Descriptors: Computer Software, Evaluation Methods, Interaction, Outcomes of Education
Brooks, Gordon P.; Barcikowski, Robert S. – 1994
The focus of this research was to determine the efficacy of a new method of selecting sample sizes for multiple linear regression. A Monte Carlo simulation was used to study both empirical predictive power rates and empirical statistical power rates of the new method and seven other methods: those of C. N. Park and A. L. Dudycha (1974); J. Cohen…
Descriptors: Effect Size, Monte Carlo Methods, Power (Statistics), Prediction
Barringer, Mary S. – 1995
Researchers are becoming increasingly aware of the advantages of using multiple regression as opposed to analysis of variance (ANOVA) or analysis of covariance (ANCOVA). Multiple regression is more versatile and does not force the researcher to throw away variance by categorizing intervally scaled data. Polynomial regression analysis offers the…
Descriptors: Analysis of Variance, Educational Research, Elementary Secondary Education, Regression (Statistics)
Thomas, Emily H.; Galambos, Nora – 2002
To investigate how students' characteristics and experiences affect satisfaction, this study used regression and decision-tree analysis with the CHAID algorithm to analyze student opinion data from a sample of 1,783 college students. A data-mining approach identifies the specific aspects of students' university experience that most influence three…
Descriptors: College Faculty, College Students, Higher Education, Prediction
Beasley, Amy; Rowell, Kevin – 2003
A study examined differences in motivations between fundamental Christians and atheists on the Reiss Profile of Fundamental Goals and Motivational Sensitivities. Only five of the 15 areas measured by the Reiss Profile were used in the study. The hypothesis was that (within these areas: (1) independence, (2) power, (3) vengeance, (4) status, and…
Descriptors: Attitude Measures, Comparative Analysis, Group Membership, Higher Education
Peer reviewedThompson, Bruce – Perceptual and Motor Skills, 1982
Virtually all parametric statistical procedures have been shown to be special cases of canonical correlation analysis. This article proposes a logic for conducting stepwise canonical correlation analyses, based upon evaluation of canonical communality coefficients. The procedure is a direct analogue of stepwise multiple regression. (Author/RD)
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables


