Modern regression techniques using R: a practical guide for students and researchers
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Los Angeles [u.a.]
Sage
2012
|
| Ausgabe: | Reprint. |
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025262611&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025262611&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | VIII, 204 S. graph. Darst. |
| ISBN: | 9781847879035 9781847879028 |
Internformat
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Datensatz im Suchindex
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|---|---|
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Preface vii
1
Very brief introduction to R
1
2
The basic regression
16
3
ANO
VA as
regression
29
4
ANCOVA: Lord s paradox and mediation analysis
48
5
Model selection and shrinkage
65
6
Generalized linear models (GLMs)
92
7
Regression splines and generalized additive models (GAMs)
112
8
Multilevel models
138
9
Robust regression
162
10
Conclusion
-
make your data cool
185
Glossary of
R
functions used in this book
190
References
196
Index
202
Statistics is the language of modern empirical social and behavioural science and the varieties of
regression form the basis of this language. Statistical and computing advances have led to new
and exciting regressions that have become the necessary tools for any researcher in these fields. In
a way that is refreshingly engaging and readable, Wright and London describe the most useful of
these techniques and provide step-by-step instructions, using the freeware R, to analyse
datasets
that can be located on the book s webpage: www.sagepub.co.uk/wrightandlondon.
Techniques covered in this book include multilevel modelling, ANOVA and ANCOVA, path analysis,
mediation and moderation, logistic regression (generalized linear models), generalized additive
models, and robust methods. These are all tested using a range of real research examples
conducted by the authors in every chapter.
Given the wide coverage of techniques, this book will be essential reading for any advanced
undergraduate and graduate student (particularly in psychology) and for more experienced
researchers wanting to learn how to apply some of the more recent statistical techniques to
their
datasets.
The authors are donating all royalties from the book to the American Partnership for
Eosinophilic Disorders.
|
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| illustrated | Illustrated |
| indexdate | 2024-12-20T16:14:27Z |
| institution | BVB |
| isbn | 9781847879035 9781847879028 |
| language | English |
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| publishDate | 2012 |
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| publisher | Sage |
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| spellingShingle | Wright, Daniel B. London, Kamala Modern regression techniques using R a practical guide for students and researchers Sozialwissenschaften (DE-588)4055916-6 gnd Regressionsanalyse (DE-588)4129903-6 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4055916-6 (DE-588)4129903-6 (DE-588)4705956-4 |
| title | Modern regression techniques using R a practical guide for students and researchers |
| title_auth | Modern regression techniques using R a practical guide for students and researchers |
| title_exact_search | Modern regression techniques using R a practical guide for students and researchers |
| title_full | Modern regression techniques using R a practical guide for students and researchers Daniel B. Wright and Kamala London |
| title_fullStr | Modern regression techniques using R a practical guide for students and researchers Daniel B. Wright and Kamala London |
| title_full_unstemmed | Modern regression techniques using R a practical guide for students and researchers Daniel B. Wright and Kamala London |
| title_short | Modern regression techniques using R |
| title_sort | modern regression techniques using r a practical guide for students and researchers |
| title_sub | a practical guide for students and researchers |
| topic | Sozialwissenschaften (DE-588)4055916-6 gnd Regressionsanalyse (DE-588)4129903-6 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | Sozialwissenschaften Regressionsanalyse R Programm |
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