Conventional statistical significance tests do not inform the researcher regarding the likelihood that results will replicate. One strategy for evaluating result replication is to use a "bootstrap" resampling of a study's data so that the stability of results across numerous configurations of the subjects can be explored. This paper…

There are advantages to using a priori or planned comparisons rather than omnibus multivariate analysis of variance (MANOVA) tests followed by post hoc or a posteriori testing. A small heuristic data set is used to illustrate these advantages. An omnibus MANOVA test was performed on the data followed by a post hoc test (discriminant analysis). A…

A study analyzed data from a series of five household socioeconomic surveys carried out in Kinshasa, Congo, over the period from 1955 to 1990. Results indicated that schooling and educational attainment of both females and males increased substantially over this period, and particularly so for young women. Research analysis provides a detailed…

This paper illustrates a procedure for using the interest scores of occupational group members to locate occupations on Holland's hexagon. The procedure locates occupations throughout the hexagon--not just at the six points. The Holland types are Realistic (R), Investigative (I), Artistic (A), Social (S), Enterprising (E), and Conventional (C).…

The relationships among types of errors observed during probability problem solving were studied. Subjects were 50 graduate students in an introductory probability and statistics course. Errors were classified as text comprehension, conceptual, procedural, and arithmetic. Canonical correlation analysis was conducted on the frequencies of specific…

It has been estimated that the most pressing problem in community mental health care clinics is dropout, defined as unilateral termination by the client without therapist approval. To clarify the nature of dropout patients, 133 outpatient records at a rural community mental health center were examined over a one year period. Variables expected to…

This paper discusses the principles underlying discriminant analysis and constructs a simulated data set to illustrate its methods. Discriminant analysis is a multivariate technique for identifying the best combination of variables to maximally discriminate between groups. Discriminant functions are established on existing groups and used to…

Problems associated with the use of analysis of covariance (ANCOVA) as a statistical control technique are explained. Three problems relate to the use of "OVA" methods (analysis of variance, analysis of covariance, multivariate analysis of variance, and multivariate analysis of covariance) in general. These are: (1) the wasting of information when…

An experimental study evaluated the writing growth of 97 college freshmen before and after instruction to determine whether direct instruction in F. Christensen's "Generative Rhetoric of a Sentence" (1967) made a significant impact on freshmen writers' use of right-branched free modification. The study used a quantitative,…

Multivariate methods were used to identify between-set factors relating the criterion set of eleven Wechsler Adult Intelligence Scale Revised subtest variables to the predictor set of demographic variables: age, race, sex, education, occupation, geographic region, and urban versus rural residence. Although factor analysis is usually used to…

Guidelines for articulation of a framework for practical application of proportional-hazards models (PHMs) to professional survival analysis are provided. Focus is on data analysis fitting the PHMs with the semi-parametric methods of partial likelihood; this strategy is available in the BMDP2L and SAS PROC PHGLM computer programs. Areas in which…

An examination of articles in the last 5 years of the "American Educational Research Journal" (AERJ) was conducted to determine the extent to which choices of levels of parameters in a multivariate analysis were comparable to empirical research that uses multivariate analysis of variance (MANOVA). Originally, a main question was to…

A non-linear version of redundancy analysis is introduced. The technique is called REDUNDALS. It is implemented within the computer program for canonical correlation analysis called CANALS. The REDUNDALS algorithm is of an alternating least square (ALS) type. The technique is defined as minimization of a squared distance between criterion…

Elementary school attendance and achievement data were collected from the records of a random sample of 1,200 Chicago students. There were complete longitudinal data sets for 333 students in kindergarten through eighth grade. Student absence was highest in kindergarten and decreased until fourth grade; absence rates were approximately constant…

In order to refine further the process of measuring self-perceptions, nine different self-scales of the Affective Perception Inventory (API)--descriptive of academic settings--were administered to students in grades one through twelve, their peers, and their teachers. Within a multitrait-multimethod formulation, the scores yielded high internal…