Describes the use of multidimensional scaling (MDS), emphasizing applications in counseling and vocational psychology. Includes an example of one standard nonmetric scaling method. Addresses conceptual and practical considerations associated with the use of MDS. (Author/KS)

Addresses intensive study of individual subject, emphasizing development of appropriate designs and analytical procedures for single-subject research. Treatment times should be randomly assigned to treatments, creating randomization. The assumption of random sampling is not met in single-subject experiments, however, data from a randomized…

Provides an example to illustrate the clustering approach. Discusses the variety of approaches in clustering; choice of cluster analytic techniques; the steps in cluster analysis; the data features such as level, shape, and scatter, that affect cluster results; alternate clustering methods and their relative effectiveness; and applications of…

Describes the loglinear model, and applies it to categorical data cross-tabulated on four dimensions. Defines contrasts similar to those of the analysis of variance and describes post hoc and planned comparison strategies. Illustrates hypothesis testing and model building for categorical data, providing guidelines for performing an analysis on…

Explains multiple regression, demonstrates its flexibility for analyzing data from various designs, and discusses interpretation of results from multiple regression analysis. Presents regression equations for single independent variable and for two or more independent variables, followed by a discussion of coefficients related to these. Compares…

Presents a method to improve client classification. Reviews clinical prediction models and statistical prediction issues. In classifying clients for remedial services, utility of the prediction scheme depends on gains accrued by its use over program base rates and relative cost. This assumes that differential treatments parallel diagnostic…

Includes seven articles focusing on various research techniques important for counselor use including: (1) multivariate analyses; (2) time-series designs; (3) nonparametric statistics; (4) value orientation analysis; and (5) path analysis. Also discussed are models of developmental research and techniques for simultaneous inference. (RC)