This dataset example introduces one-way ANOVA. This method allows researchers to compare the means of a single variable for more than two subsets of the data to evaluate whether the means for each subset are statistically significantly different from each other or not. This technique builds on the t-test for difference of means but extends it to the situation where there are more than two groups for which we wish to make comparisons. We illustrate this using a subset of data derived from an experiment in social psychology: Shame, Blame and Contamination: Mental Illness Stigma and the Family. This experiment was carried out as part of the Time-Sharing Experiments for the Social Sciences (TESS) series, in 2004. Henceforth we refer to these data as TESS2004. ...
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Time-sharing Experiments for the Social Sciences. (2004). Shame, Blame and Contamination: Mental Illness Stigma and the Family (Publication from Northwestern University http://www.tessexperiments.org/data/corrigan201.html)
Shame, Blame and Contamination: Mental Illness Stigma and the Family. Time-Sharing Experiments for the Social Sciences 2004
Illinois Institute of Technology
University of Illinois at Chicago
NSF Grant 0818839
Addressed Based Probability sample of panel members, with data collection via web survey.
Weighting for selection probabilities and post stratification.
Adult American Residents
United States of America (contiguous states)
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Q11. [John/Joan] should feel ashamed about [Frank’s/Fran’s] illness.
Q5. I feel angry toward [Frank/Fran].