The average tenure of academic department heads was found to be positively related to the level of paradigm development characterizing the department, negatively related to departmental size, and related to interactions of the level of paradigm development with the seniority mix of the faculty and with the departmental size. (Author/IRT)

A statistical technique designed to highlight the contributions of two continuous predictor variables to a continuous criterion variable is described. The technique involves selecting subpopulations, called pockets, via regression techniques. An example using cognitive styles to predict performance on problem-solving tasks is discussed.…

The paper cites difficulties in aptitude-treatment interaction (ATI) research which investigates relationships between test performance and the extent of profiting from instruction. Two methods for ATI research (regression analysis and analysis of variance) are described, assumptions and potential mininterpretations are noted, and correct…

Actuarial models of judgment provide an effective tool with which to model curriculum preferences on the basis of choices. (MM)

Tests a model intended to help account for the prevalence of questionnaire methodologies among doctoral students in educational administration. Several attributes of students and their doctoral programs are advanced as promoting these methods. (Author/IRT)

A method to provide estimates of parameters of specified nonlinear equations from ordinal data generated from a crossed design is presented. The statistical basis for the method, called NOPE (nonmetric parameter estimation), as well as examples using artifical data, are presented. (Author/JKS)

Repeated measures designs often involve dichotomization of a continuous variable in order to be amenable to the analysis of variance nature of such designs. An alternative to that approach wherein the independent variable is kept continuous is presented. (JKS)

There are a variety of formulas for reducing the positive bias which occurs in estimating R squared in multiple regression or correlation equations. Five different formulas are evaluated in a Monte Carlo study, and recommendations are made. (JKS)

Factor scale scores are sometimes used as weights to create composite variables representing the variables included in a factor analysis. If these composite variables are then used to predict some dependent variable, serious theoretical and methodological problems arise. This paper explores these problems and suggests strategies for circumventing…

Tried to determine reliability and validity of an adapted vocational indecision scale designed for undergraduates. Findings suggest that characteristics of the adapted indecision scale for the graduate students sample are similar to the characteristics of the unadapted instrument for the undergraduate sample. (Author)

Variables used in applicant selection into the British Civil Service were analyzed for a sample using varimax factor analysis, multidimensional scaling and multiple regression. Results indicated that four dimensions or factors of applicant selection were consistent across a variety of settings and analyses. (JKS)

A multiple regression analysis of sequential effects in magnitude estimation and absolute identification is presented as an alternative to the approach used by Lockhead and his students. The new analysis indicates that sequential effects do not extend over more than one trial. (Editor)

Low income families were interviewed to determine the factors related to the number of family food servings per week. More food servings were found to be associated with participation in WIC, household size, and the number of different income sources. The number of food servings decreased the last week of the month, particularly in families with…

Points out reasons for using graphical methods to teach simple and multiple regression analysis. Argues that a graphically oriented approach has considerable pedagogic advantages in the exposition of simple and multiple regression. Shows that graphical methods may play a central role in the process of building regression models. (Author/LS)

A multiple regression model for estimating true change of an individual by using information in addition to pretest-posttest data is described. Longitudinal panel or multi-wave data taken between the pretest and the posttest constitute the additional information. (TJH)