Approaching multivariate analysis: an introduction for psychology
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hove [u.a.]
Psychology Press
2007
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | X, 308 S. graph. Darst. |
| ISBN: | 0415396735 9780415396738 |
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Datensatz im Suchindex
| _version_ | 1804136466269339648 |
|---|---|
| adam_text | Contents
Preface
1 Multivariate
techniques
in
context
Using this book
1
Statistics in research
2
Terminology and conventions
2
Testing hypotheses
4
Continuous
DV
and discrete IV
5
Both
DV
and IV continuous
5
Both
DV
and IV discrete
6
Discrete
DV
and continuous IV
6
The model and prediction
6
Power
7
The General Linear Model
7
Generalized Linear Models
8
Exploratory methods
9
2
Analysis of variance (ANOVA)
Introduction and terminology
11
Assumptions and transformations
16
Effect size and power
19
A one-way ANOVA
21
A factorial between-subjects design
30
A factorial within-subjects design
38
A mixed factorial design
43
Reporting results
46
References
48
3
Multivariate analysis of variance
(MÁNOVA)
Introduction
49
A between-subjects design with
2
DVs
50
A within subjects design with
2
DVs
61
MÁNOVA
and repeated measures AN OVA compared
67
Missing data
70
Outliers
71
Reporting results
72
4
Multiple regression
75
Introduction and intuitive explication
75
Data requirements
77
An example of a multiple regression problem
79
Using a stepwise method
86
Categorical variables
89
Estimating the success of predicting new cases
91
Hierarchical regression
95
Non-linear relationships
99
Reporting results
103
Reference
105
5
Analysis of covariance (ANCOVA)
107
Introduction and intuitive explication
107
ANCOVA: An example of
a
pretest-posttest
control group design
110
ANCOVA with more than one treatment factor
124
Reporting results
125
Reference
126
6
Partial correlation, mediation and moderation
127
Introduction
127
Partial correlation
127
An example suitable for partial correlation analysis
129
Semipartial (or part) correlations
132
Reporting results: Partial correlation analysis
133
Mediation effects
134
Reporting results: Mediation analysis
137
Moderating effects
137
Reporting results: Moderation analysis
141
Complex path models
143
References
143
7
Path analysis
145
Introduction
145
Path diagrams and terminology
146
Conducting a path analysis using regression
148
Contents ix
Using a dedicated package (AMOS) to do path analysis
152
Reporting results
158
Reference
159
8
Factor analysis
161
Introduction
161
Exploratory factor analysis (EFA)
162
The reliability of factor scales: consistency of scales
173
Confirmatory factor analysis
(CFA)
175
Structural equation modelling
183
Reporting results
185
Reference
186
9
Discriminant analysis and logistic regression
187
Discriminant analysis
187
An example of a discriminant analysis problem
190
Reporting results: Discriminant analysis
202
Logistic regression: An alternative approach to classification into two
groups
202
Example data
204
Reporting results: Logistic regression
211
10
Cluster analysis
215
Introduction
215
Calculating distance between cases
216
Using the distance matrix to form clusters
220
Some examples and (fabricated) data
223
Results for other
datasets
231
Deciding how many clusters there are
233
Clustering variables and some binary data
234
Reporting results
237
References
237
11
Multidimensional scaling
239
Introduction and intuitive explication
239
MDS: An example and (fabricated) data
244
Multidimensional scaling and seriation
256
Reporting results
257
Reference
259
χ
Contents
12 Loglinear
models
261
Introduction and intuitive explication
261
An example of
loglinear
analysis
264
Selecting a reduced model
269
Automating model selection
272
Measures of association and size of effects
279
Variables with more than two categories
281
Reporting results
283
Abbreviations
285
Glossary
287
Further reading
295
Author index
299
Subject index
300
Approaching Multivariate Analysis provides an introduction to a range of advanced
statistical techniques that are used in psychology, in an accessible, non-mathematical
way. The authors take a practical approach with an emphasis on helping the reader to
gain an understanding of what each method is for, what it does, and how it does it.
Topics covered are:
ANOVA,
MÁNOVA, ANCOVA
Multiple regression and partial correlation
Factor analysis, cluster analysis and multidimensional scaling
Path analysis, and mediation and moderation analysis
Discriminant analysis, logistic regression and
loglinear
analysis.
Instructions on how to do the analyses and how to make sense of the results are fully
illustrated with dialogue boxes and output tables from SPSS, and details of how to
interpret and report the output are also provided.
This book aims to get students started, and prepares them to approach more
comprehensive treatments with confidence. This makes it an ideal text for psychology
students, and for students and academic staff in disciplines other than psychology that
use multivariate methods.
|
| adam_txt |
Contents
Preface
1 Multivariate
techniques
in
context
Using this book
1
Statistics in research
2
Terminology and conventions
2
Testing hypotheses
4
Continuous
DV
and discrete IV
5
Both
DV
and IV continuous
5
Both
DV
and IV discrete
6
Discrete
DV
and continuous IV
6
The model and prediction
6
Power
7
The General Linear Model
7
Generalized Linear Models
8
Exploratory methods
9
2
Analysis of variance (ANOVA)
Introduction and terminology
11
Assumptions and transformations
16
Effect size and power
19
A one-way ANOVA
21
A factorial between-subjects design
30
A factorial within-subjects design
38
A mixed factorial design
43
Reporting results
46
References
48
3
Multivariate analysis of variance
(MÁNOVA)
Introduction
49
A between-subjects design with
2
DVs
50
A within subjects design with
2
DVs
61
MÁNOVA
and repeated measures AN OVA compared
67
Missing data
70
Outliers
71
Reporting results
72
4
Multiple regression
75
Introduction and intuitive explication
75
Data requirements
77
An example of a multiple regression problem
79
Using a stepwise method
86
Categorical variables
89
Estimating the success of predicting new cases
91
Hierarchical regression
95
Non-linear relationships
99
Reporting results
103
Reference
105
5
Analysis of covariance (ANCOVA)
107
Introduction and intuitive explication
107
ANCOVA: An example of
a
pretest-posttest
control group design
110
ANCOVA with more than one treatment factor
124
Reporting results
125
Reference
126
6
Partial correlation, mediation and moderation
127
Introduction
127
Partial correlation
127
An example suitable for partial correlation analysis
129
Semipartial (or part) correlations
132
Reporting results: Partial correlation analysis
133
Mediation effects
134
Reporting results: Mediation analysis
137
Moderating effects
137
Reporting results: Moderation analysis
141
Complex path models
143
References
143
7
Path analysis
145
Introduction
145
Path diagrams and terminology
146
Conducting a path analysis using regression
148
Contents ix
Using a dedicated package (AMOS) to do path analysis
152
Reporting results
158
Reference
159
8
Factor analysis
161
Introduction
161
Exploratory factor analysis (EFA)
162
The reliability of factor scales: consistency of scales
173
Confirmatory factor analysis
(CFA)
175
Structural equation modelling
183
Reporting results
185
Reference
186
9
Discriminant analysis and logistic regression
187
Discriminant analysis
187
An example of a discriminant analysis problem
190
Reporting results: Discriminant analysis
202
Logistic regression: An alternative approach to classification into two
groups
202
Example data
204
Reporting results: Logistic regression
211
10
Cluster analysis
215
Introduction
215
Calculating distance between cases
216
Using the distance matrix to form clusters
220
Some examples and (fabricated) data
223
Results for other
datasets
231
Deciding how many clusters there are
233
Clustering variables and some binary data
234
Reporting results
237
References
237
11
Multidimensional scaling
239
Introduction and intuitive explication
239
MDS: An example and (fabricated) data
244
Multidimensional scaling and seriation
256
Reporting results
257
Reference
259
χ
Contents
12 Loglinear
models
261
Introduction and intuitive explication
261
An example of
loglinear
analysis
264
Selecting a reduced model
269
Automating model selection
272
Measures of association and size of effects
279
Variables with more than two categories
281
Reporting results
283
Abbreviations
285
Glossary
287
Further reading
295
Author index
299
Subject index
300
Approaching Multivariate Analysis provides an introduction to a range of advanced
statistical techniques that are used in psychology, in an accessible, non-mathematical
way. The authors take a practical approach with an emphasis on helping the reader to
gain an understanding of what each method is for, what it does, and how it does it.
Topics covered are:
ANOVA,
MÁNOVA, ANCOVA
Multiple regression and partial correlation
Factor analysis, cluster analysis and multidimensional scaling
Path analysis, and mediation and moderation analysis
Discriminant analysis, logistic regression and
loglinear
analysis.
Instructions on how to do the analyses and how to make sense of the results are fully
illustrated with dialogue boxes and output tables from SPSS, and details of how to
interpret and report the output are also provided.
This book aims to get students started, and prepares them to approach more
comprehensive treatments with confidence. This makes it an ideal text for psychology
students, and for students and academic staff in disciplines other than psychology that
use multivariate methods. |
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| illustrated | Illustrated |
| index_date | 2024-07-02T17:19:16Z |
| indexdate | 2024-07-09T20:56:51Z |
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| language | English |
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| spelling | Todman, John B. Verfasser aut Approaching multivariate analysis an introduction for psychology John Todman and Pat Dugard Hove [u.a.] Psychology Press 2007 X, 308 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Psychometrics Psychology / Statistical methods Multivariate analysis Psychometrie (DE-588)4176236-8 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Psychologie (DE-588)4047704-6 gnd rswk-swf Psychometrie (DE-588)4176236-8 s Multivariate Analyse (DE-588)4040708-1 s Statistik (DE-588)4056995-0 s Psychologie (DE-588)4047704-6 s DE-604 Dugard, Pat Verfasser aut Digitalisierung UB Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015612338&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015612338&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Todman, John B. Dugard, Pat Approaching multivariate analysis an introduction for psychology Psychometrics Psychology / Statistical methods Multivariate analysis Psychometrie (DE-588)4176236-8 gnd Statistik (DE-588)4056995-0 gnd Multivariate Analyse (DE-588)4040708-1 gnd Psychologie (DE-588)4047704-6 gnd |
| subject_GND | (DE-588)4176236-8 (DE-588)4056995-0 (DE-588)4040708-1 (DE-588)4047704-6 |
| title | Approaching multivariate analysis an introduction for psychology |
| title_auth | Approaching multivariate analysis an introduction for psychology |
| title_exact_search | Approaching multivariate analysis an introduction for psychology |
| title_exact_search_txtP | Approaching multivariate analysis an introduction for psychology |
| title_full | Approaching multivariate analysis an introduction for psychology John Todman and Pat Dugard |
| title_fullStr | Approaching multivariate analysis an introduction for psychology John Todman and Pat Dugard |
| title_full_unstemmed | Approaching multivariate analysis an introduction for psychology John Todman and Pat Dugard |
| title_short | Approaching multivariate analysis |
| title_sort | approaching multivariate analysis an introduction for psychology |
| title_sub | an introduction for psychology |
| topic | Psychometrics Psychology / Statistical methods Multivariate analysis Psychometrie (DE-588)4176236-8 gnd Statistik (DE-588)4056995-0 gnd Multivariate Analyse (DE-588)4040708-1 gnd Psychologie (DE-588)4047704-6 gnd |
| topic_facet | Psychometrics Psychology / Statistical methods Multivariate analysis Psychometrie Statistik Multivariate Analyse Psychologie |
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