In the study "Public and Private Schools," the conclusions by James Coleman and others that private schools produce higher test scores and do so by employing certain school policies are not valid because the methods and interpretations used in the analysis fall below the standards for social-scientific research. Moreover, the conclusions…

Demographic data on 92 subjects identified as having reading problems were used to develop equations useful in identifying high risk, reading disabled students. Multiple linear regression analysis of the data indicated that reading disability (1) had a significant positive relationship with birth order and number of siblings; (2) had a positive…

Reported research uses stepwise multiple regression analyses to generate regression equations for 60 school age subjects with choice of right action and stage of moral reasoning on moral dilemmas as the dependent variables. Age, IQ, socioeconomic status, awareness of consequences, empathy, and mean moral maturity scores were used as predictor…

The results of an algorithm which is designed to take a set of commonality coefficients, either real or manipulated, and, if possible, produce one or more sets of regressor correlations that are consistent with them are examined. A number of different ways of resolving the higher order commonality values into their lower orders were tried and the…

The present paper sought to investigate the usefulness to accountability of identifying outlying schools through multiple regression. The outlier approach identifies schools which differ significantly for reasons other than variation in the predictors. The present study was not able to confirm the construct validity of the outlier approach for the…

Five category scores of word usage frequency were generated from responses on the Rotter Incomplete Sentences Blanks for 61 college freshmen. These scores were then used to predict asocial behavior of the freshman. (Author/JKS)

This study used multiple regression analysis to relate computer user satisfaction to communication monitor (CM) variables. Results indicate the variables of user expectations, manufacturers, and vendors are most significant in affecting overall satisfaction, whereas number of systems represented and not using communication monitors have least…

This study was undertaken to determine if adolescent social disaffection with school and family not only would be a significant predictor of cigarette use but also would explain a significant amount of the association with friends who smoke. Results are presented. (Author/MT)

Intent of this study was to examine an ability and achievement battery used in college engineering freshmen prediction for possible moderating effects in an attempt to enhance overall prediction. (Authors)

Analysis showed that a word problem is difficult to solve if: it is of a different type from the problem that preceded it; its solution requires a large number of different operations; its surface structure is complex; it has a large number of words; or it requires a conversion of units. (Authors)

This study attempts to explain the observed distribution of students among university departments. A general model describing the student's initial choice of department is constructed. The decisions made by a sample of students were then explained by multiple regression analysis, where students' socio-economic characteristics are the explanatory…

Fifty-six students from two Minnesota technical institutes were administered the Minnesota Reading Assessment and the Gates-MacGinitie Reading Tests. Statistical analysis indicates that, while the two tests are not identical measures of vocabulary and comprehension, their measures of reading rate and speed are highly correlated. (SK)

Sociological and demographic research often uses variables computed as ratios. When the denominators are highly correlated, and the ratios are used in correlation or regression analysis, a statistical dependency is formed. This article investigates this problem, particularly with respect to partial correlation, multiple regression, and the…