Regression analysis for categorical moderators
This book provides practical guidance for using MMR to better assess whether the relationship between two quantitative variables is moderated by group membership.
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York, NY
The Guilford Press
2004
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| Series: | Methodology in the social sciences
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| Subjects: | |
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| 003 | MY-KLNDU | ||
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| 008 | 130527 2004 nyua bi 000 0 eng d | ||
| 020 | |a 9781572309692 | ||
| 020 | |a 1572309695 | ||
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| 040 | |a UPNM | ||
| 090 | |a QA 278.2 |b .A38 2004 | ||
| 100 | 1 | |a Aguinis, Herman | |
| 245 | 1 | 0 | |a Regression analysis for categorical moderators |c Herman Aguinis ; series editor's note by David A. Kenny |
| 260 | |a New York, NY |b The Guilford Press |c 2004 | ||
| 300 | |a xxi, 202 p. |b ill. |c 24 cm. | ||
| 490 | 1 | |a Methodology in the social sciences | |
| 504 | |a Includes bibliographical references and index | ||
| 505 | |a What is a moderator variable and why should we care -- Moderated multiple regression -- Performing and interpreting moderated multiple regression analyses using computer programs -- The homogeneity of error variance assumption -- MMR's low-power problem -- Light at the end of the tunnel: How to solve the low-power problem -- Computing statistical power -- Complex MMR models -- Further issues in the interpretation of moderating effects | ||
| 520 | |a This book provides practical guidance for using MMR to better assess whether the relationship between two quantitative variables is moderated by group membership. | ||
| 592 | |a INN/8276 |b 2/7/13 |c RM137.52 |h Innowawasan | ||
| 650 | 0 | |a Regression analysis | |
| 650 | 0 | |a Social sciences |x Statistical methods |x Data processing | |
| 650 | 0 | |a Regression analysis |x Computer programs | |
| 830 | 0 | |a Methodology in the social sciences | |
| 999 | |a vtls000049131 |c 48592 |d 48592 | ||