1999
DOI: 10.1017/cbo9780511804403
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Contrasts and Effect Sizes in Behavioral Research

Abstract: Contrasts are statistical procedures for asking focused questions of data. Compared to diffuse or omnibus questions, focused questions are characterized by greater conceptual clarity and greater statistical power when examining those focused questions. If an effect truly exists, we are more likely to discover it and to believe it to be real when asking focused questions rather than omnibus ones. Researchers, teachers of research methods and graduate students will be familiar with the principles and procedures … Show more

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Cited by 873 publications
(1,068 citation statements)
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“…To reduce the number of comparisons between prospective groups, we only tested differences between pairs of groups with the same 1997-99 diagnosis. Effect size was measured by the contrast coefficient r contrast [38]. Fig.…”
Section: Discussionmentioning
confidence: 99%
“…To reduce the number of comparisons between prospective groups, we only tested differences between pairs of groups with the same 1997-99 diagnosis. Effect size was measured by the contrast coefficient r contrast [38]. Fig.…”
Section: Discussionmentioning
confidence: 99%
“…More detailed discussions of the use of various effect size indicators can be found in Rosenthal (1994) and in Rosenthal et al (2000). The latter, in particular, describes a number of different correlational effect size indicators and gives reasons for often preferring them over various alternatives.…”
Section: Choice Of Effect Sizesmentioning
confidence: 99%
“…Estimates of the magnitude of the effect size were also computed (Rosenthal, Rosnow, & Rubin, 2000). The effect size estimators that accompanied the dependent t test and the ANOVA were Cohen's (1988) d and eta-square ( 2 η ), respectively.…”
Section: Methodsmentioning
confidence: 99%
“…Typically, a response shift is a result of respondents changing their internal evaluation standard for the dimension measured between pretest and posttest because of exposure to the treatment. There are, however, alternative sources of bias in response shifts-such as a pretesting effect, memory distortion, and subject acquiescence-which could presumably affect ratings in both the treatment and no-treatment comparison groups (Collins et al, 1985;Howard & Dailey, 1979;Sprangers & Hoogstraten, 1989).…”
Section: Pretesting Effectsmentioning
confidence: 99%