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If you conduct research with more than two groups and want to find out if they are significantly different when compared two at a time, then you need Multiple Comparison Procedures. Using examples to illustrate major concepts, this concise volume is your guide to multiple comparisons. Toothaker thoroughly explains such essential issues as planned vs. post-hoc comparisons, stepwise vs. simultaneous test procedures, types of error rate, unequal sample sizes and variances, and interaction tests vs. cell mean tests.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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multiple null hypotheses, simple effects comparisons, partial null hypothesis, helping behavior example, smallest critical value, largest comparison, possible pairwise comparisons, error rate control, overall null hypothesis, stretch size, orthogonal comparisons, unequal sample sizes Key Phrases - Capitalized Phrases (CAPs): (learn more)
Appendix Table, Miller Data, Dependent Variable Figure, Group Means Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
multiple null hypotheses, simple effects comparisons, partial null hypothesis, helping behavior example, smallest critical value, largest comparison, possible pairwise comparisons, error rate control, overall null hypothesis, stretch size, orthogonal comparisons, unequal sample sizes Key Phrases - Capitalized Phrases (CAPs): (learn more)
Appendix Table, Miller Data, Dependent Variable Figure, Group Means Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
84
books
cite this book:
See all 84 books citing this book
- Survey Questions: Handcrafting the Standardized Questionnaire (Quantitative Applications in the Social Sciences) by Jean M. Converse in Back Matter (1), and Back Matter (2)
- Applied Analysis of Variance in Behavioral Science (Statistics: a Series of Textbooks and Monogrphs) by Lynne Edwards on page 60, and page 61
- Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences) by Jae-On Kim in Back Matter (1), and Back Matter (2)
- Causal Modeling (Quantitative Applications in the Social Sciences) by Herbert B. Asher in Back Matter
- Summated Rating Scale Construction: An Introduction (Quantitative Applications in the Social Sciences) by Paul Spector in Back Matter
See all 84 books citing this book
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