Regression, ANOVA, and the General Linear Model: A Statistics Primer
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Angeles [u.a.]
Sage
2014
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | XXI, 319 S. zahlr. graph. Darst. |
| ISBN: | 9781412997355 |
Internformat
MARC
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| 245 | 1 | 0 | |a Regression, ANOVA, and the General Linear Model |b A Statistics Primer |c Peter Vik |
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Datensatz im Suchindex
| _version_ | 1804150545409114112 |
|---|---|
| adam_text | Brief
Table
of Contents
Preface
Acknowledgments
About the Author
XV
xix
xxi
1.
Introduction
1
PART I: FOUNDATIONS OF THE GENERAL
LINEAR MODEL
7
2.
Predicting Scores: The Mean and the Error of Prediction
9
3.
Bivariate regression
23
4.
Model Comparison: The Simplest Model Versus a
Regression Model
37
PART II: FUNDAMENTAL STATISTICAL TESTS
53
5.
Correlation: Traditional and Regression Approaches
55
6.
The Traditional
t
Test: Concepts and Demonstration
67
7.
One-Way ANOVA: Traditional Approach
81
8.
t
Test, ANOVA, and the Bivariate Regression Approach
93
PART III: ADDING COMPLEXITY
Model Comparison II·. Multiple Regression
Multiple Regression: When Predictors Interact
Two-Way ANOVA: Traditional Approach
Two-Way ANOVA: Model Comparison Approach
One-Way ANOVA With Three Groups: Traditional Approach
ANOVA With Three Groups: Model Comparison Approach
Two-by-Three ANOVA: Complex Categorical Models
103
105
117
127
143
159
171
185
197
17.
Analysis of Covariance: Continuous and
Categorical Predictors
209
18.
Repeated Measures
217
19.
Multiple Repeated Measures
231
20.
Mixed Between and Within Designs
249
APPENDICES
267
Appendix A Research Designs
269
Appendix
В
Variables, Distributions, and Statistical Assumptions
277
Appendix
С
Sampling and Sample Sizes
287
Appendix
D
Null Hypothesis, Statistical Decision Making,
and Statistical Power
293
References
299
Index
301
Peter
Vik
uses this new First Edition to
demonstrate basic statistical concepts from two
different perspectives, giving the reader a
conceptual understanding of how to interpret
statistics and their use. The two perspectives are
(1)
a traditional focus on the t-test, correlation,
and ANOVA, and
(2)
a model-comparison approach
using General Linear Models (GLM).This book
juxtaposes the two approaches by presenting a
traditional approach in one chapter, followed by
the same analysis demonstrated using GLM. By so
doing, readers acquire a theoretical and
conceptual appreciation for data analysis as well
as a practical understanding as to how these two
approaches are alike. Dr.
Vik
demonstrates
model-building by creating successively enhanced
models based on (to the extent practical) a single
data set. This text is intended for readers who
already have a basic understanding of statistics.
|
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| id | DE-604.BV041145660 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:40:38Z |
| institution | BVB |
| isbn | 9781412997355 |
| language | English |
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| spelling | Vik, Peter Verfasser aut Regression, ANOVA, and the General Linear Model A Statistics Primer Peter Vik Los Angeles [u.a.] Sage 2014 XXI, 319 S. zahlr. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Varianzanalyse (DE-588)4187413-4 gnd rswk-swf Lineares Regressionsmodell (DE-588)4127971-2 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s Varianzanalyse (DE-588)4187413-4 s Lineares Regressionsmodell (DE-588)4127971-2 s DE-604 Digitalisierung UB Augsburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026121210&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026121210&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Vik, Peter Regression, ANOVA, and the General Linear Model A Statistics Primer Varianzanalyse (DE-588)4187413-4 gnd Lineares Regressionsmodell (DE-588)4127971-2 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4187413-4 (DE-588)4127971-2 (DE-588)4056995-0 |
| title | Regression, ANOVA, and the General Linear Model A Statistics Primer |
| title_auth | Regression, ANOVA, and the General Linear Model A Statistics Primer |
| title_exact_search | Regression, ANOVA, and the General Linear Model A Statistics Primer |
| title_full | Regression, ANOVA, and the General Linear Model A Statistics Primer Peter Vik |
| title_fullStr | Regression, ANOVA, and the General Linear Model A Statistics Primer Peter Vik |
| title_full_unstemmed | Regression, ANOVA, and the General Linear Model A Statistics Primer Peter Vik |
| title_short | Regression, ANOVA, and the General Linear Model |
| title_sort | regression anova and the general linear model a statistics primer |
| title_sub | A Statistics Primer |
| topic | Varianzanalyse (DE-588)4187413-4 gnd Lineares Regressionsmodell (DE-588)4127971-2 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Varianzanalyse Lineares Regressionsmodell Statistik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026121210&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=026121210&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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