This study examines possibility of ranking journals in physics by means of bibliometric regression models that estimate usefulness as it is reported by 167 physicists in United States and Canada. Development of four models, patterns of deviation from models, and validity and application are discussed. Twenty-six references are cited. (EJS)

The value of variance is emphasized, and the element of design, frequently not adequately understood, is clarified to underscore the importance of variance to the researcher. Two analytic methods, analysis of variance (ANOVA) and multiple regression, are discussed in terms of how each uses/applies variance. Advantages and major difficulties with…

Using a Monte Carlo approach, comparison was made between traditional procedures and a multiple linear regression approach to test for differences between values of r sub 1 and r sub 2 when sample data were dependent and independent. For independent sample data, results from a z-test were compared to results from using multiple linear regression.…

This paper encourages the use of multiple logistic analysis in early intervention research, to assess the degree of association of multiple factors (such as subject or situational characteristics) with a dichotomous outcome (such as benefitting or not benefitting from an intervention) and to estimate the probability of each outcome. (JDD)

A growing controversy surrounds the strict interpretation of statistical significance tests in social research. Statistical significance tests fail in particular to provide estimates for the stability of research results. Methods that do provide such estimates are known as invariance or cross-validation procedures. Invariance analysis is largely…

The purpose of this paper is to demonstrate how multiple linear regression provides a viable statistical methodology for dealing with meta-analysis in general, and specifically with the issues of nonindependence and design complexity, such as multiple treatments. Since the F-test and t-test are special cases of the general linear model,…

Tests hierarchical regression model--library employee's salary is a function of library size, public sector collective bargaining strength, library's ability to pay, cost of living in area, presence of any union and union representing librarians in library--on three salary levels (department head, beginning librarian, clerical worker). (29…

A study was conducted using the parity-equity model to investigate variances in faculty salaries at North Dakota State School for Science. The parity-equity model specifies three constructs as determinants of faculty salaries: (1) rational equity factors, including years of professional experience, rank, degree, graduate faculty status, tenure…

This nationwide survey of online searchers indicated that 77 percent preferred to have patron present; two factors accounted for 72 percent of variance of patron presence (searcher's ability to refine search, searcher's time schedule); 16 percent admitted to nervousness with patron present; concern about spelling errors accounted for 44 percent of…

This paper illustrates the transformation of a raw data matrix into a matrix of associations, and then into a factor matrix. Factor analysis attempts to distill the most important relationships among a set of variables, thereby permitting some theoretical simplification. In this heuristic data, a correlation matrix was derived to display…

This study examined whether differences exist in the adjustment of young adults in community settings across levels of mental retardation for four dependent variables, using parametric multivariate analysis of variance, nonparametric multivariate analysis of variance, multiple nonparametric analyses of variance, and multinomial logistic…

Presents the results of a United Kingdom study comparing computer anxiety, mathematics anxiety, and computer experience among college students and elementary students. Includes discussion of age, sex, and the relationship between anxiety and experience. Reports that the younger children had higher computer experience and less computer anxiety.…

This study used multiple regression analysis to estimate the effects of variance in teacher ratings explained by teacher-produced variability (teaching practices and/or skills) and by student-produced variability (education level, motivation, and goals) on selected student variables. Previous research suggested that these student variables…

Evaluates the hypothesis that boomtowns enter a period of generalized crisis and loss of traditional values/attitudes; considers impact of energy development on residents' involvement in/attachment to their community, and perceived quality of community services. Uses linear and systemic models on data from three intermountain communities…

Two approaches for conceptualizing and estimating a contextual model for analyzing student achievement are the separate equation approach and the single equation approach. The separate equation method determines the relationship between the individual-level independent variable and the individual-level dependent variable within each group. It then…