Applied Multivariate Statistics for the Social Sciences

Applied Multivariate Statistics for the Social Sciences

Applied Multivariate Statistics for the Social Sciences

Applied Multivariate Statistics for the Social Sciences

Excerpt

Studies in the social sciences comparing two or more groups very often measure their subjects on several criterion variables. The following are some examples. A researcher is comparing two methods of teaching second grade reading. On a posttest he measures the subjects on the following basic elements related to reading: syllabication, blending, sound discrimination, reading rate, and comprehension. A social psychologist is testing the relative efficacy of 3 treatments on self concept, and measures the subjects on the academic, emotional, and social aspects of self concept. Two different approaches to stress management are being compared. The investigator employs a couple of paper and pencil measures of anxiety (say the State-Trait Scale and the Subjective Stress Scale) and some physiological measures. Another example would be comparing two types of counseling (Rogerian and Adlerian) on client satisfaction and client self acceptance. A major part of this text involves the statistical analysis of several groups on a set of criterion measures simultaneously, i.e., multivariate analysis of variance, the multivariate referring to the multiple dependent variables.

Cronbach andSnow (1977), writing on aptitude-treatment interaction research, have echoed the need for multiple criterion measures:

Learning is multivariate, however. Within any one task a person's performance at a point in time can be represented by a set of scores describing aspects of the performance . . . even in laboratory research on rote learning, performance can be assessed by multiple indices: errors, latencies and . . .

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