Limitations of dummy coding and nonsense coding as methods of coding categorical variables for use as predictors in multiple regression analysis are discussed. The combination of these approaches often yields estimates and tests of significance that are not intended by researchers for inclusion in their models. (SLD)

This study was designed to develop a single-stage submaximal treadmill jogging (TMJ) test to predict VO[subscript 2]max in fit adults. Participants (N = 400; men = 250 and women = 150), ages 18 to 40 years, successfully completed a maximal graded exercise test (GXT) at 1 of 3 laboratories to determine VO[subscript 2]max. The TMJ test was completed…

Interpretation of emergent variables on the basis of structure coefficients (zero order correlations between original and emergent variables) is potentially very misleading and should be avoided in favor of interpretation on the basis of scoring coefficients. This is most apparent in multiple regression analysis and its special case, two-group…

The aim of the present study was to investigate the differential relationships between five dimensions of motivational climate and achievement goals, as the latter have been conceptualized by the revised achievement goal theory. Adolescents (N = 336, M age = 13.45 years, SD = 1.04) participating in a summer camp in southern Greece took part in the…

Presents the results of multiple regression analysis, test-retest analysis, reliability analysis, exploratory factor analysis, and confirmatory factor analysis of the Computer Attitude Scale in order to assess the instrument's predictive ability, construct validity, and reliability. Findings indicate acceptable characteristics, including stability…

Presents a theoretical model which helps identify significant predictors of employability of vocational graduates. Discusses the decision to hire, multiple linear regression methods, reasons for poor predictability, and interpretation of the results. (CT)

Actual data sets were used to illustrate how substantially different conclusions and implications can be drawn from alternate multiple regressions predicting academic achievement from the same set of variables measuring student background. Variables assessing students' socioeconomic status and geographic mobility, used to predict reading and math…

Data from the 1986 Current Population Survey (CPS) and a 1987 survey of public and private enterprises in Orangeburg, South Carolina, provide the basis for estimating a salary schedule for lead teachers in Orangeburg School District 5. The underlying rationale for the development of lead teacher positions is described in terms of salary gaps…

Different approaches to defining suppression in multiple regression/correlation are compared, and their differences are illustrated. A test for determining the significance of a suppressor effect, which is based on the definition of suppression of W. F. Velicer, is extended to the general multiple predictor case and analysis of variance. (SLD)

This paper illustrates how, in the item-response theory framework, collateral information about test items can augment or replace examinee responses when linking or equating new tests to established scales, using data from the Pre-Professional Skills Test for approximately 40,000 examinees. Collateral information can predict item operating…

Data from the areas of job satisfaction and job stress are used to illustrate the following points: (1) that measurements can be arranged conceptually along a continuum from the specific to the global (or general); (2) that scales can be constructed which represent different levels of generality, within the same content area; (3) that such scales…