The use of repeated measures research designs is explored. Repeated measures designs are often advantageous and can be implemented in a variety of research settings. One of the main advantages in repeated measures designs is the control of subject variability. Other advantages are the reduction of error variance and economy in subject recruitment.…

Similarities and differences in the univariate and multivariate analysis of repeated measures designs are discussed, using a hypothetical data set studying the effects of practice on the algebra performance of four students to illustrate both methods. When data are analyzed through the univariate approach and the homogeneity assumption is…

The multivariate analysis of variance approach to the analysis of data from repeated measures designs that include covariates is reviewed and contrasted with univariate methods. Assumptions necessary for meaningful interpretation of the results of the multivariate analysis are discussed and contrasted to those of the univariate approaches. An…

This presentation is an informal discussion of a questionnaire context effect which led to an erroneous conclusion in analysis of data from the Monitoring the Future project; an annual survey of high school seniors that has occurred since 1975, and that focuses heavily on their drug use and attitudes about drugs. In 1980, the researchers reported…

The development, design, and results of a survey of Florida State University alumni who received their degrees during 1980-1981 are examined. The questionnaire was mailed to 4,588 students who received undergraduate or graduate degrees, and 1,533 responses were obtained. Attention was directed to whether students had achieved personal, academic,…

Fifty-eight studies relating to the "knowledge gap" hypothesis (a theory that correlates public knowledge to educational level and mass media exposure) are examined in this report. In the opening sections, the theory is defined, and the early information diffusion studies and public opinion polls that led to its formulation in 1970 are…

Q-type factor analysis was used to re-analyze baseline data collected in 1957, on 47 men aged 65-91. Q-type analysis is the use of factor methods to study persons rather than tests. Although 550 variables were originally studied involving psychiatry, medicine, cerebral metabolism and chemistry, personality, audiometry, dichotic and diotic memory,…

This paper addresses two audiences--those who design education trend studies that simultaneously have longitudinal and intercohort implications, and the secondary analysts who use such trend data. Four study series conducted for the U.S. Department of Education's National Center for Education Statistics (NCES) provide material for the paper: the…