Statistical significance is often inappropriately equated with evaluating result importance and evaluating result replicability, even though these are three somewhat different issues. The prudent researcher must separately assess each of these elements of the "research triumvirate" by using different methods. This paper focuses on two…

Concerned with imprecision in researchers' use of the word, "interpretive," this report draws from the work of Max Weber to describe the characteristics of an interpretive science of organizational communication and then briefly lists some advantages of following the interpretive approach. First examining the role of subjective meaning…

Numerous designs using analysis of variance (ANOVA) to test ordinal hypotheses were assessed using a Monte Carlo simulation. Each statistic was computed on each of over 10,000 random samples drawn from a variety of population conditions. The number of groups, population variance, and patterns of population means were varied. In the non-null…

Problems with using stepwise analytic methods are discussed, and better alternatives are illustrated. To make the illustrations concrete, an actual data set, involving responses of 91 medical school admissions directors to 30 variables, was used. The 30 variables involved perceptions of barriers to medical school with respect to characteristics of…

A dichotomous dependent variable is used to determine a combination of variables that will predict group membership. Dichotomous variables are frequently encountered in multiple regression analysis. However, several textbooks question the appropriateness of using multiple regression analysis when analyzing dichotomous dependent variables. The…

A general model is described which can be used to represent the four common types of meta-analysis: (1) estimation of effect size by combining study outcomes; (2) estimation of effect size by contrasting study outcomes; (3) estimation of statistical significance by combining study outcomes; and (4) estimation of statistical significance by…

Theories employed to explain regularities in social behavior often contain explicit or implicit reference to the presence of nonlinear and/or nonadditive (i.e., multiplicative) relationships among germane variables. While such nonadditive features are theoretically important, the inclusion of quadratic or multiplicative terms in structural…

Traditionally, confirmatory factor analytic models are tested against a null model of total independence. Using randomly generated factors in a matrix of 46 aptitude tests, this approach is shown to be unlikely to reject even random factors. An alternative null model, based on a single general factor, is suggested. In addition, an index of model…

An approach to statistical testing, which combines Neyman-Pearson hypothesis testing and Fisher significance testing, is recommended. The use of P-values in this approach is discussed in some detail. The author also discusses some problems which are often found in introductory statistics textbooks. The problems involve the definitions of…

The problem of spurious significance in multivariate exploratory research is discussed. When a very large number of statistical tests are performed, many tests will be significant on the basis of chance alone. To counter this problem, the use of two sign tests to analyze sets of results has been suggested; the chance expectation [CE test] assesses…

Develops a testing procedure based on a model including treatment effects on residual variances. (Author/RC)

THE VARIABLE, ACADEMIC MOTIVATION (N AC), WAS MEASURED BY A PROJECTIVE TEST. A SCORING MANUAL WITH HIGH INTER-SCORER RELIABILITY WAS ALSO PREPARED. THE 1964 FRESHMAN CLASS OF GEORGETOWN UNIVERSITY (N EQUALS 957) PARTICIPATED IN THE STUDY. ACADEMIC MOTIVATION CORRELATED POSITIVELY AND SIGNIFICANTLY FOR BOTH MALE AND FEMALE STUDENTS WITH GRADE POINT…

A computer program named Program STANDARD is presented and demonstrated. This program calculates the statistical significance of the overall agreement of the categorical assignments. The program is based on Light's statistic, G, for describing the conjoint agreement of many observers with correct or standard set of classifications on nominal…

This study compared three approaches to the two-factor experiment with repeated measures on one factor: (1) the conventional mixed model analysis of variance, (2) the Greenhouse-Geisser conservative analysis of variance, and (3) multivariate extensions of analysis of variance. Computer simulated data were used in a total of 96 sets of covariance…

THIS INVESTIGATION WAS DESIGNED TO PROVIDE DATA ABOUT THE CHARACTERISTICS OF SOCIAL-POLITICAL ACTION LEADERS AT ONE UNIVERSITY AND TO COMPARE THOSE CHARACTERISTICS WITH OTHER TYPES OR CATEGORIES OF STUDENT LEADERS. NINE RESEARCH HYPOTHESES IN NULL FORM WERE FORMULATED TO FACILITATE STATISTICAL TREATMENT OF THE DATA. FROM A TOTAL OF 559 ELECTED…