A conceptual guide to statistics using SPSS:
"This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For ex...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Thousand Oaks [u.a.]
Sage Publications, Inc
2012
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | "This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, pointing out wherever possible how the SPSS procedure and output connects back to the conceptual underpinnings of the test. Each of the steps is accompanied by annotated screen shots from SPSS, and relevant components of output are highlighted in both the text and in the figures. Sections explain the conceptual machinery underlying the statistical tests. In contrast to merely presenting the equations for computing the statistic, these sections describe the idea behind each test in plain language and help students make the connection between the ideas and SPSS procedures. These include extensive treatment of custom hypothesis testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra functions available only through syntax in SPSS. The book will be appropriate for both advanced undergraduate and graduate level courses in statistics"-- |
| Beschreibung: | Machine generated contents note: 1. Introduction 2. Descriptive Statistics 3. Chi-Squared Test 4. Linear Correlation 5. One- and Two Sample T-Tests 6. One-way ANOVA 7. Two- and Higher-way ANOVA 8. Within-subject ANOVA 9. Mixed-model ANOVA 10. MANOVA 11. Regression 12. ANCOVA 13. Factor and Components Analysis 14. Psychometrics 15. Non-parametric Tests 16. Matrix Algebra 17. Appendix on the General Formulation of Custom Contrasts using Syntax Includes bibliographical references and index |
| Beschreibung: | XII, 296 S. Ill., graph. Darst. cm |
| ISBN: | 9781412974066 |
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| 100 | 1 | |a Berkman, Elliot |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a A conceptual guide to statistics using SPSS |c Elliot T. Berkman ; Steven P. Reise |
| 264 | 1 | |a Thousand Oaks [u.a.] |b Sage Publications, Inc |c 2012 | |
| 300 | |a XII, 296 S. |b Ill., graph. Darst. |c cm | ||
| 336 | |b txt |2 rdacontent | ||
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| 500 | |a Machine generated contents note: 1. Introduction 2. Descriptive Statistics 3. Chi-Squared Test 4. Linear Correlation 5. One- and Two Sample T-Tests 6. One-way ANOVA 7. Two- and Higher-way ANOVA 8. Within-subject ANOVA 9. Mixed-model ANOVA 10. MANOVA 11. Regression 12. ANCOVA 13. Factor and Components Analysis 14. Psychometrics 15. Non-parametric Tests 16. Matrix Algebra 17. Appendix on the General Formulation of Custom Contrasts using Syntax | ||
| 500 | |a Includes bibliographical references and index | ||
| 520 | |a "This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, pointing out wherever possible how the SPSS procedure and output connects back to the conceptual underpinnings of the test. Each of the steps is accompanied by annotated screen shots from SPSS, and relevant components of output are highlighted in both the text and in the figures. Sections explain the conceptual machinery underlying the statistical tests. In contrast to merely presenting the equations for computing the statistic, these sections describe the idea behind each test in plain language and help students make the connection between the ideas and SPSS procedures. These include extensive treatment of custom hypothesis testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra functions available only through syntax in SPSS. The book will be appropriate for both advanced undergraduate and graduate level courses in statistics"-- | ||
| 650 | 4 | |a SPSS for Windows | |
| 650 | 4 | |a Statistics / Computer programs | |
| 650 | 4 | |a Social sciences / Statistical methods / Computer programs | |
| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Statistik | |
| 650 | 0 | 7 | |a SPSS für WINDOWS |0 (DE-588)4334316-8 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a SPSS für WINDOWS |0 (DE-588)4334316-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Reise, Steven Paul |e Sonstige |0 (DE-588)128578629 |4 oth | |
| 856 | 4 | 2 | |m Digitalisierung UB Bamberg |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022538846&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-022538846 | ||
Datensatz im Suchindex
| _version_ | 1804145672974237696 |
|---|---|
| adam_text | Contents
Preface
ix
About the Authors
xiii
1. Introduction I
Goal of This Book: Conceptual Understanding
1
Features That Will Help You in This Book
2
A Note on Data Files
4
2.
Descriptive Statistics
5
Introduction to Descriptive Statistics
5
Computing Descriptive Statistics in SPSS
6
Interpreting the Output
10
A Closer Look: Eyeballing a Hypothesis Test
13
A Closer Look: Assessing for Normality
14
3.
The Chi-Squared Test for Contingency Tables
19
Introduction to the Chi-Squared Test
19
Computing the Chi-Squared Test in SPSS
20
A Closer Look: Fisher s Exact Test
25
The Chi-Squared Test for Testing the Distribution of
One Categorical Variable
28
4.
Correlation
33
Behind the Scenes: Conceptual Background of Correlation
33
Covariance Versus Correlation
36
Computing Correlation (and Covariance) in SPSS
37
Interpreting the Correlation Output
38
A Closer Look: Partial Correlations
40
Visualizing Correlations
42
5.
One- and Two-Sample t-Tests
5
1
Conceptual Background of the
ŕ-
Test
51
Behind the Scenes: The
ŕ-
Ratio
52
Computing the One-Sample
ŕ-
Test Using SPSS
52
Computing the Paired-Samples i-Test Using SPSS
55
Computing
the Independent-Samples
ŕ-
Test Using SPSS
58
Connections: A Comparison of the Independent- and
Paired-Samples t-Tests
61
Visualizing the Results From the f-Test
61
A Closer Look: Testing the Assumptions Underlying the
ŕ-Test
68
6.
One-Way ANOVA
73
Behind the Scenes: Conceptual Background of the Analysis of Variance
(ANOVA)
73
Computing the One-Way ANOVA Using SPSS
75
Interpreting the ANOVA Output
79
A Closer Look: Custom Contrasts in One-Way ANOVA
86
Making the Most of Syntax: Custom Contrasts Using Syntax
89
Connections: On the Equivalence of One-Way ANOVA and f-Tests
91
Plotting the Results of the One-Way ANOVA
91
A Closer Look: Testing Assumptions in One-Way ANOVA
95
7.
Two-and Higher-Way ANOVA
99
Conceptual Background of the Higher-Order ANOVA
99
Behind the Scenes: Modeling Two- and Higher-Way ANOVA
With the GLM
101
Computing the Two-Way ANOVA Using SPSS
101
Interpreting the ANOVA Output
106
Making the Most of Syntax: Custom Contrasts in Two-Way ANOVA
112
A Closer Look: Multiple-Line Contrasts
115
Connections: Equivalence Between Main Effects Tests and Custom
Contrasts
118
Plotting the Results of the Two-Way ANOVA
119
8.
Within-Subject ANOVA
123
Conceptual Background of the Within-Subjects ANOVA
123
Behind the Scenes: Modeling the Within-Subjects ANOVA
125
Computing the Within-Subjects ANOVA Using SPSS
126
Interpreting the ANOVA Output
132
Plotting the Results of Within-Subjects ANOVA
136
Making the Most of Syntax: Custom Contrasts in Within-Subjects
ANOVA
137
Connections: Equivalence Between Within-Subjects ANOVA and
Paired-Samples t-Tests
139
9.
Mixed-Model ANOVA
141
Conceptual Background of the Mixed-Model ANOVA
141
Computing the Mixed-Model ANOVA Using SPSS
143
A Closer Look: Testing the Assumptions of the Mixed-Model ANOVA
148
Interpreting the Output of the Mixed-Model ANOVA
153
Plotting the Results of the Mixed-Model ANOVA in SPSS
155
Making the Most of Syntax: Custom Contrast Tests in
Mixed-Model ANOVA
157
10.
Multivariate ANOVA
163
Conceptual Background of the Multivariate ANOVA
163
Computing
MÁNOVA
Using SPSS
164
Interpreting the SPSS Output
170
A Closer Look: Which Multivariate Test to Report?
175
Making the Most of Syntax: Testing Custom Contrasts in
MÁNOVA
175
A Closer Look: When to Use
MÁNOVA
Versus Within-Subjects ANOVA
177
I I
.
Linear Regression 1
79
Behind the Scenes: Conceptual Background of Linear Regression
179
Computing Linear Regression in SPSS
182
Interpreting the Linear Regression Output
186
Connections: Understanding the Meaning of Partial and Semipartial
Correlations
190
A Closer Look: Hierarchical Regression
194
A Closer Look: Testing Model Assumptions
198
1
2.
Analysis of Covariance
205
Conceptual Background of Analysis of Covariance (ANCOVA)
205
Computing ANCOVA in SPSS
207
Understanding the Output of ANCOVA
210
Visualizing Results of the ANCOVA
213
Making the Most of Syntax: Custom Hypothesis Testing in ANCOVA
216
A Closer Look: Evaluating the Assumptions of ANCOVA
219
13.
Factor and Components Analysis
221
Conceptual Background of the Factor Analysis
221
Background Issues
222
Computing the Factor Analysis in SPSS
223
Interpreting the SPSS Output of Factor Analysis
227
A Closer Look: Reporting the Results in a Research Paper
232
14.
Psychometrics
237
Conceptual Background of Psychometrics
237
Preliminary Psychometrics in SPSS
238
Computing Formal Psychometrics Analyses in SPSS
240
Interrater
Reliability in SPSS
244
15.
Nonparametric Tests
249
Conceptual Background of Nonparametric Tests
249
The Sign Test (for One-Sample Hypotheses)
250
The Wilcoxon Rank-Sum Test (for Independent Samples)
252
The Wilcoxon Signed-Rank Test (for Paired Samples)
255
Connections: A Comparison to the Paired-Samples
ŕ-
Test
258
The Kmskal-Wallis Test (for Between-Subjects Comparisons)
260
Friedman s Rank Test (for Within-Subject Comparisons)
263
16.
Matrix Algebra
267
Conceptual Background of Matrix Algebra
267
Overview of Matrix Algebra in SPSS
269
Making the Most of Syntax: Solving the General Linear Equation
in SPSS
271
A Closer Look: Custom Hypothesis Testing Using Matrix Algebra
278
Appendix: Commented Syntax for One-Way ANOVA
Using Matrix Algebra in SPSS
281
Appendix: General Formulation of
Custom Contrasts Using LMATRIX
285
Subject Index
291
Syntax Index
295
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| id | DE-604.BV037385830 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T23:23:11Z |
| institution | BVB |
| isbn | 9781412974066 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-022538846 |
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| physical | XII, 296 S. Ill., graph. Darst. cm |
| publishDate | 2012 |
| publishDateSearch | 2012 |
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| publisher | Sage Publications, Inc |
| record_format | marc |
| spelling | Berkman, Elliot Verfasser aut A conceptual guide to statistics using SPSS Elliot T. Berkman ; Steven P. Reise Thousand Oaks [u.a.] Sage Publications, Inc 2012 XII, 296 S. Ill., graph. Darst. cm txt rdacontent n rdamedia nc rdacarrier Machine generated contents note: 1. Introduction 2. Descriptive Statistics 3. Chi-Squared Test 4. Linear Correlation 5. One- and Two Sample T-Tests 6. One-way ANOVA 7. Two- and Higher-way ANOVA 8. Within-subject ANOVA 9. Mixed-model ANOVA 10. MANOVA 11. Regression 12. ANCOVA 13. Factor and Components Analysis 14. Psychometrics 15. Non-parametric Tests 16. Matrix Algebra 17. Appendix on the General Formulation of Custom Contrasts using Syntax Includes bibliographical references and index "This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, pointing out wherever possible how the SPSS procedure and output connects back to the conceptual underpinnings of the test. Each of the steps is accompanied by annotated screen shots from SPSS, and relevant components of output are highlighted in both the text and in the figures. Sections explain the conceptual machinery underlying the statistical tests. In contrast to merely presenting the equations for computing the statistic, these sections describe the idea behind each test in plain language and help students make the connection between the ideas and SPSS procedures. These include extensive treatment of custom hypothesis testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra functions available only through syntax in SPSS. The book will be appropriate for both advanced undergraduate and graduate level courses in statistics"-- SPSS for Windows Statistics / Computer programs Social sciences / Statistical methods / Computer programs Sozialwissenschaften Statistik SPSS für WINDOWS (DE-588)4334316-8 gnd rswk-swf SPSS für WINDOWS (DE-588)4334316-8 s DE-604 Reise, Steven Paul Sonstige (DE-588)128578629 oth Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022538846&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Berkman, Elliot A conceptual guide to statistics using SPSS SPSS for Windows Statistics / Computer programs Social sciences / Statistical methods / Computer programs Sozialwissenschaften Statistik SPSS für WINDOWS (DE-588)4334316-8 gnd |
| subject_GND | (DE-588)4334316-8 |
| title | A conceptual guide to statistics using SPSS |
| title_auth | A conceptual guide to statistics using SPSS |
| title_exact_search | A conceptual guide to statistics using SPSS |
| title_full | A conceptual guide to statistics using SPSS Elliot T. Berkman ; Steven P. Reise |
| title_fullStr | A conceptual guide to statistics using SPSS Elliot T. Berkman ; Steven P. Reise |
| title_full_unstemmed | A conceptual guide to statistics using SPSS Elliot T. Berkman ; Steven P. Reise |
| title_short | A conceptual guide to statistics using SPSS |
| title_sort | a conceptual guide to statistics using spss |
| topic | SPSS for Windows Statistics / Computer programs Social sciences / Statistical methods / Computer programs Sozialwissenschaften Statistik SPSS für WINDOWS (DE-588)4334316-8 gnd |
| topic_facet | SPSS for Windows Statistics / Computer programs Social sciences / Statistical methods / Computer programs Sozialwissenschaften Statistik SPSS für WINDOWS |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022538846&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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