Download A step-by-step approach to using SAS for univariate & by Norm O'Rourke PDF

By Norm O'Rourke

One in a chain of books co-published with SAS, this publication presents a hassle-free advent to either the SAS approach and simple statistical methods for researchers and scholars within the Social Sciences. This moment variation, up to date to hide model nine of the SAS software program, courses readers step-by-step during the easy techniques of study and information research, to facts enter, and directly to ANOVA (analysis of variance) and MANOVA (multivariate research of variance).

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Extra resources for A step-by-step approach to using SAS for univariate & multivariate statistics

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Most research in the social sciences involves fixed-effects models. As an illustration, assume that you are conducting research on the effectiveness of hypnosis in reducing anxiety among participants who suffer from test anxiety. Specifically, you could perform an experiment that compares the effectiveness of 10 sessions of relaxation training versus 10 sessions of relaxation training plus hypnosis. In this study, the independent variable might be labeled something like Type of Therapy. Notice that you did not randomly select these two treatment conditions from the population of all possible treatment conditions; you knew which treatments you wished to compare and designed the study accordingly.

In some studies, you might even believe that the predictor variable has a causal effect on the criterion. In the insurance study, for example, the predictor variable was Goal Difficulty. Because you believed that Goal Difficulty positively affects insurance sales, you conducted a study in which Goal Difficulty is identified as the predictor and Sales as the criterion. You do not necessarily have to believe that there is a causal relationship between Goal Difficulty and Sales to conduct this study.

30 Entering Data: An Illustrative Example ...................................................... 31 Inputting Data Using the DATALINES Statement ......................................... 35 Additional Guidelines ................................................................................ 46 Inputting a Correlation or Covariance Matrix .............................................. 52 Inputting Data Using the INFILE Statement Rather than the DATALINES Statement .................................................................................................

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