This study used two multiple regression analyses to develop an explanatory model to determine which model might best explain faculty salaries. The central purpose of the study was to determine if using a single market ratio variable was a stronger predictor for faculty salaries than the use of dummy variables representing various disciplines.…

Learning is an important aspect of active ageing, yet older people are not often included in discussions of the issue. Older people vary in their need, desire, and ability to learn, and this is evident in the context of technology. The focus of the data analysis for this paper was on determining the place of learning and technology in active…

Two samples of Slovak women in higher education were surveyed in order to determine the extent to which organizational commitment and life satisfaction are related to personal and work-related attributes. Organizational commitment was found to be related to the work-related attributes of role conflict and role ambiguity. These work-related…

The extent to which standardized regression coefficients (beta values) can be used to determine the importance of a variable in an equation was explored. The beta value and the part correlation coefficient--also called the semi-partial correlation coefficient and reported in squared form as the incremental "r squared"--were compared for…

The use of multiple regression in identifying students with learning disabilities was investigated with 281 ninth grade students. Five sets of predictor variables were chosen to predict grade point average in grade 9: verbal and nonverbal IQ, sex, socioeconomic status (SES), and grade point average in grade 7. Five groups of overachievers, normal…

The uses and restrictions of commonality analysis are described. Commonality analysis has been increasingly used as a method to examine the relative importance of independent variables, through the partitioning of variance among the variables of the regression equation into unique and common components. The effects of all other independent…

Multiple regression analysis is frequently being employed in experimental and non-experimental research. However, when data include predictor variables that are correlated, some regression results can become difficult to interpret. This paper presents a study to provide a demonstration that structure coefficients may be useful in these cases.…

This paper presents two major criticisms of the construct validity investigation of the McCarthy Scales of Children's Abilities conducted by Watkins and Wiebe (1980). The criticisms pertain to the nature of the data presented and the accuracy and appropriateness of the statistical procedures employed. (BS)

Using step-wise multiple regression analyses, regression equations were generated for sixty school age subjects with choice and stage of moral reasoning on moral dilemmas as the dependent variables. The implications of the findings for further research and curriculum were discussed. (Editor/RK)

Purpose of this investigation was to determine whether the inclusion of quadratic and/or interaction terms in a regression model would improve the prediction of student nurses' grade point averages. (Authors)

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)

High school grades and ACT scores were used to predict grade point average for junior and senior business students. A large proportion of the variance in grade point average was explained by using grades and ACT scores with the aptitude measure making a larger contribution to the prediction equation. (JKS)

The study investigated the interactive and relative effects of self-concept, self-efficacy and ICT literacy level on students' motivation towards the use of digital technology. The study sample comprised 1216 participants drawn from three universities in Ogun State, Nigeria. Four valid instruments were used in collecting data. Multiple regression…

This research sought to determine whether any measure(s) used in the Carnegie Foundation's classification of Doctoral/Research Universities contribute to a greater degree than other measures to final rank placement. Multilevel Modeling (MLM) was applied to all eight of the Carnegie Foundation's predictor measures using final rank…