Statistics for social data analysis:
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| Previous Title: | Bohrnstedt, George W. Statistics for social data analysis |
|---|---|
| Main Author: | |
| Format: | Book |
| Language: | English |
| Published: |
Itasca, Ill.
Thomson
2002
|
| Edition: | 4. ed. |
| Subjects: | |
| Online Access: | Table of contents Inhaltsverzeichnis |
| Item Description: | Bohrnstedts Name erscheint zum ersten Mal in einer früheren Ausgabe Includes bibliographical references and index |
| Physical Description: | XIV, 530 S. Ill., graph. Darst. 24 cm |
| ISBN: | 0875814484 |
Staff View
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| 245 | 1 | 0 | |a Statistics for social data analysis |c David Knoke ; George W. Bohrnstedt ; Alisa Potter Mee |
| 250 | |a 4. ed. | ||
| 264 | 1 | |a Itasca, Ill. |b Thomson |c 2002 | |
| 300 | |a XIV, 530 S. |b Ill., graph. Darst. |c 24 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Bohrnstedts Name erscheint zum ersten Mal in einer früheren Ausgabe | ||
| 500 | |a Includes bibliographical references and index | ||
| 505 | 8 | |a Machine generated contents note: I. BASIC CONCEPTS AND MEASURES -- 1. Statistics in the Research Process -- 2. Describing Variables -- II. STATISTICAL INFERENCE -- 3. Making Statistical Inferences -- III. ANALYZING BIVARIATE RELATIONSHIPS -- 4. Analysis of Variance -- 5. Analyzing Categoric Data -- 6. Bivariate Regression and Correlation -- IV. MULTIVARIATE MODELS -- 7. The Logic of Multivariate Contingency Analysis -- 8. Multiple Regression Analysis -- 9. Nonlinear and Logistic Regression -- V. ADVANCED TOPics -- 10. Log-Linear Analysis -- 11. Causal Models and Path Analysis -- 12. Structural Equation Models. | |
| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Social sciences |x Statistical methods | |
| 650 | 4 | |a Statistics | |
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| 700 | 1 | |a Mee, Alisa Potter |e Sonstige |4 oth | |
| 780 | 0 | 0 | |i 3. Auflage |a Bohrnstedt, George W. |t Statistics for social data analysis |
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Record in the Search Index
| _version_ | 1804134543021572096 |
|---|---|
| adam_text | Abbreviated Contents
Preface
i. Basic Concepts and Measures
1. Statistics in the Research Process 3
2. Describing Variables 29
ii. Statistical Inference
3. Making Statistical Inferences 69
ill. Analyzing Bivariate Relationships
4. Analysis of Variance 111
5. Analyzing Categoric Data 139
6. Bivariate Regression and Correlation 169
IV. MULTIVARIATE MODELS
7. The Logic of Multivariate Contingency Analysis 207
8. Multiple Regression Analysis 235
9. Nonlinear and Logistic Regression 287
v. Advanced Topics
10. Log Linear Analysis 327
11. Causal Models and Path Analysis 371
12. Structural Equation Models 405
Appendices 447
Glossary of Terms 473
List of Mathematical and Statistical Symbols 487
Answers to Problems 495
Index 523
V
Contents
Preface xi
i. Basic Concepts and Measures
1. Statistics in the Research Process 3
1.1 Ideas into Research Projects 5
1.2 Concepts into Propositions 9
1.3 Variables into Hypotheses 11
1.4 Observations into Records 14
1.5 Data into Numbers 16
1.6 Statistical Analysis 18
1.7 The General Linear Model 22
2. Describing Variables 29
2.1 Frequency Distributions for Discrete and Continuous Variables 29
2.2 Grouped and Cumulative Distributions 34
2.3 Graphing Frequency Distributions 37
2.4 Measures of Central Tendency 40
2.5 Measures of Dispersion 46
2.6 Percentiles and Quantiles 53
2.7 Standardized Scores (Z Scores) 56
2.8 Exploratory Data Analysis Methods for Displaying Continuous Data 60
vii
viii Statistics for Social Data Analysis
ii. Statistical Inference
3. Making Statistical Inferences 69
3.1 Drawing Inferences About Populations from Samples 69
3.2 Some Basic Probability Concepts 70
3.3 Chebycheff s Inequality Theorem 73
3.4 The Normal Distribution 75
3.5 The Central Limit Theorem 80
3.6 Sample Point Estimates and Confidence Intervals 81
3.7 The t Distribution 85
3.8 Hypothesis Testing 88
3.9 Testing Hypotheses About Single Means 91
3.10 Properties of Estimators 101
3.11 The Chi Square and F Distributions 102
iii. Analyzing Bivariate Relationships
4. Analysis of Variance 111
4.1 The Logic of ANOVA 111
4.2 ANOVA Tables: Sums of Squares, Mean Squares, F Ratio 114
4.3 Tests for Two Means 121
4.4 The Correlation Ratio: Eta Squared 131
4.5 Testing Differences Among Means (Post Hoc) 132
5. Analyzing Categoric Data 139
5.1 Bivariate Crosstabulation 139
5.2 Using Chi Square to Test Significance 142
5.3 Measuring Association: Q, Phi, Gamma, Tau c, Somers s dyx 147
5.4 Odds and Odds Ratios 159
6. Bivariate Regression and Correlation 169
6.1 Scatterplots and Regression Lines 169
6.2 Estimating a Linear Regression Equation 174
6.3 /? Square and Correlation 182
6.4 Significance Tests for Regression Parameters 187
Contents ix
6.5 Standardizing Regression Coefficients 194
6.6 Comparing Two Regression Equations 198
IV. MULTIVARIATE MODELS
7. The Logic of Multivariate Contingency Analysis 207
7.1 Controlling Additional Variables 208
7.2 Controlling for a Third Variable in 2 x 2 Tables 213
7.3 The Partial Correlation Coefficient 223
8. Multiple Regression Analysis 235
8.1 An Example of a Three Variable Regression Problem 236
8.2 The Three Variable Regression Model 240
8.3 Multiple Regression with K Independent Variables 255
8.4 Significance Tests for Parameters 263
8.5 Comparing Nested Equations 270
8.6 Dummy Variable Regression: ANCOVA with Interactions 271
8.7 Comparisons Across Populations 278
9. Nonlinear and Logistic Regression 287
9.1 Nonlinear Regression 288
9.2 Dichotomous Dependent Variables 297
9.3 The Logistic Transformation and Its Properties 299
9.4 Estimating and Testing Logistic Regression Equations 307
9.5 The Multinomial Logit Model 314
v. Advanced Topics
10. Log Linear Analysis 327
10.1 Log Linear Models for 2 x 2 Tables 328
10.2 Log Linear Models for Three Variable Tables 337
10.3 More Complex Models 349
10.4 Special Topics in Log Linear Analysis 355
11. Causal Models and Path Analysis 371
11.1 Causal Assumptions 371
x Statistics for Social Data Analysis
11.2 Causal Diagrams 374
11.3 Path Analysis 377
12. Structural Equation Models 405
12.1 Review of Correlation and Covariance 406
12.2 Reliability and Validity in Measurement Theory 408
12.3 Factor Analysis 414
12.4 Multiple Indicator Causal Models 426
12.5 Models with Ordered Indicators 434
Appendices
A. The Use of Summations 449
B. Critical Values of Chi Square (table) 457
C. Areas Under the Normal Curve (table) 459
D. Student s / Distribution (table) 465
E. F Distribution (table) 467
F. Fisher s r to Z Transformation (table) 471
Glossary of Terms 473
List of Mathematical and Statistical Symbols 487
Answers to Problems 495
Index 523
|
| adam_txt |
Abbreviated Contents
Preface
i. Basic Concepts and Measures
1. Statistics in the Research Process 3
2. Describing Variables 29
ii. Statistical Inference
3. Making Statistical Inferences 69
ill. Analyzing Bivariate Relationships
4. Analysis of Variance 111
5. Analyzing Categoric Data 139
6. Bivariate Regression and Correlation 169
IV. MULTIVARIATE MODELS
7. The Logic of Multivariate Contingency Analysis 207
8. Multiple Regression Analysis 235
9. Nonlinear and Logistic Regression 287
v. Advanced Topics
10. Log Linear Analysis 327
11. Causal Models and Path Analysis 371
12. Structural Equation Models 405
Appendices 447
Glossary of Terms 473
List of Mathematical and Statistical Symbols 487
Answers to Problems 495
Index 523
V
Contents
Preface xi
i. Basic Concepts and Measures
1. Statistics in the Research Process 3
1.1 Ideas into Research Projects 5
1.2 Concepts into Propositions 9
1.3 Variables into Hypotheses 11
1.4 Observations into Records 14
1.5 Data into Numbers 16
1.6 Statistical Analysis 18
1.7 The General Linear Model 22
2. Describing Variables 29
2.1 Frequency Distributions for Discrete and Continuous Variables 29
2.2 Grouped and Cumulative Distributions 34
2.3 Graphing Frequency Distributions 37
2.4 Measures of Central Tendency 40
2.5 Measures of Dispersion 46
2.6 Percentiles and Quantiles 53
2.7 Standardized Scores (Z Scores) 56
2.8 Exploratory Data Analysis Methods for Displaying Continuous Data 60
vii
viii Statistics for Social Data Analysis
ii. Statistical Inference
3. Making Statistical Inferences 69
3.1 Drawing Inferences About Populations from Samples 69
3.2 Some Basic Probability Concepts 70
3.3 Chebycheff 's Inequality Theorem 73
3.4 The Normal Distribution 75
3.5 The Central Limit Theorem 80
3.6 Sample Point Estimates and Confidence Intervals 81
3.7 The t Distribution 85
3.8 Hypothesis Testing 88
3.9 Testing Hypotheses About Single Means 91
3.10 Properties of Estimators 101
3.11 The Chi Square and F Distributions 102
iii. Analyzing Bivariate Relationships
4. Analysis of Variance 111
4.1 The Logic of ANOVA 111
4.2 ANOVA Tables: Sums of Squares, Mean Squares, F Ratio 114
4.3 Tests for Two Means 121
4.4 The Correlation Ratio: Eta Squared 131
4.5 Testing Differences Among Means (Post Hoc) 132
5. Analyzing Categoric Data 139
5.1 Bivariate Crosstabulation 139
5.2 Using Chi Square to Test Significance 142
5.3 Measuring Association: Q, Phi, Gamma, Tau c, Somers's dyx 147
5.4 Odds and Odds Ratios 159
6. Bivariate Regression and Correlation 169
6.1 Scatterplots and Regression Lines 169
6.2 Estimating a Linear Regression Equation 174
6.3 /? Square and Correlation 182
6.4 Significance Tests for Regression Parameters 187
Contents ix
6.5 Standardizing Regression Coefficients 194
6.6 Comparing Two Regression Equations 198
IV. MULTIVARIATE MODELS
7. The Logic of Multivariate Contingency Analysis 207
7.1 Controlling Additional Variables 208
7.2 Controlling for a Third Variable in 2 x 2 Tables 213
7.3 The Partial Correlation Coefficient 223
8. Multiple Regression Analysis 235
8.1 An Example of a Three Variable Regression Problem 236
8.2 The Three Variable Regression Model 240
8.3 Multiple Regression with K Independent Variables 255
8.4 Significance Tests for Parameters 263
8.5 Comparing Nested Equations 270
8.6 Dummy Variable Regression: ANCOVA with Interactions 271
8.7 Comparisons Across Populations 278
9. Nonlinear and Logistic Regression 287
9.1 Nonlinear Regression 288
9.2 Dichotomous Dependent Variables 297
9.3 The Logistic Transformation and Its Properties 299
9.4 Estimating and Testing Logistic Regression Equations 307
9.5 The Multinomial Logit Model 314
v. Advanced Topics
10. Log Linear Analysis 327
10.1 Log Linear Models for 2 x 2 Tables 328
10.2 Log Linear Models for Three Variable Tables 337
10.3 More Complex Models 349
10.4 Special Topics in Log Linear Analysis 355
11. Causal Models and Path Analysis 371
11.1 Causal Assumptions 371
x Statistics for Social Data Analysis
11.2 Causal Diagrams 374
11.3 Path Analysis 377
12. Structural Equation Models 405
12.1 Review of Correlation and Covariance 406
12.2 Reliability and Validity in Measurement Theory 408
12.3 Factor Analysis 414
12.4 Multiple Indicator Causal Models 426
12.5 Models with Ordered Indicators 434
Appendices
A. The Use of Summations 449
B. Critical Values of Chi Square (table) 457
C. Areas Under the Normal Curve (table) 459
D. Student's / Distribution (table) 465
E. F Distribution (table) 467
F. Fisher's r to Z Transformation (table) 471
Glossary of Terms 473
List of Mathematical and Statistical Symbols 487
Answers to Problems 495
Index 523 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Knoke, David 1947- |
| author_GND | (DE-588)170205703 |
| author_facet | Knoke, David 1947- |
| author_role | aut |
| author_sort | Knoke, David 1947- |
| author_variant | d k dk |
| building | Verbundindex |
| bvnumber | BV020837449 |
| callnumber-first | H - Social Science |
| callnumber-label | HA29 |
| callnumber-raw | HA29 HA29.B724 2002 |
| callnumber-search | HA29 HA29.B724 2002 |
| callnumber-sort | HA 229 |
| callnumber-subject | HA - Statistics |
| classification_rvk | MR 2100 SK 850 |
| contents | Machine generated contents note: I. BASIC CONCEPTS AND MEASURES -- 1. Statistics in the Research Process -- 2. Describing Variables -- II. STATISTICAL INFERENCE -- 3. Making Statistical Inferences -- III. ANALYZING BIVARIATE RELATIONSHIPS -- 4. Analysis of Variance -- 5. Analyzing Categoric Data -- 6. Bivariate Regression and Correlation -- IV. MULTIVARIATE MODELS -- 7. The Logic of Multivariate Contingency Analysis -- 8. Multiple Regression Analysis -- 9. Nonlinear and Logistic Regression -- V. ADVANCED TOPics -- 10. Log-Linear Analysis -- 11. Causal Models and Path Analysis -- 12. Structural Equation Models. |
| ctrlnum | (OCoLC)255325116 (DE-599)BVBBV020837449 |
| dewey-full | 519.5/024/321 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/024/3 21 |
| dewey-search | 519.5/024/3 21 |
| dewey-sort | 3519.5 224 13 221 |
| dewey-tens | 510 - Mathematics |
| discipline | Soziologie Mathematik |
| discipline_str_mv | Soziologie Mathematik |
| edition | 4. ed. |
| format | Book |
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| id | DE-604.BV020837449 |
| illustrated | Illustrated |
| index_date | 2024-07-02T13:15:20Z |
| indexdate | 2024-07-09T20:26:16Z |
| institution | BVB |
| isbn | 0875814484 |
| language | English |
| lccn | 2002102712 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014159369 |
| oclc_num | 255325116 |
| open_access_boolean | |
| owner | DE-19 DE-BY-UBM DE-521 |
| owner_facet | DE-19 DE-BY-UBM DE-521 |
| physical | XIV, 530 S. Ill., graph. Darst. 24 cm |
| publishDate | 2002 |
| publishDateSearch | 2002 |
| publishDateSort | 2002 |
| publisher | Thomson |
| record_format | marc |
| spelling | Knoke, David 1947- Verfasser (DE-588)170205703 aut Statistics for social data analysis David Knoke ; George W. Bohrnstedt ; Alisa Potter Mee 4. ed. Itasca, Ill. Thomson 2002 XIV, 530 S. Ill., graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Bohrnstedts Name erscheint zum ersten Mal in einer früheren Ausgabe Includes bibliographical references and index Machine generated contents note: I. BASIC CONCEPTS AND MEASURES -- 1. Statistics in the Research Process -- 2. Describing Variables -- II. STATISTICAL INFERENCE -- 3. Making Statistical Inferences -- III. ANALYZING BIVARIATE RELATIONSHIPS -- 4. Analysis of Variance -- 5. Analyzing Categoric Data -- 6. Bivariate Regression and Correlation -- IV. MULTIVARIATE MODELS -- 7. The Logic of Multivariate Contingency Analysis -- 8. Multiple Regression Analysis -- 9. Nonlinear and Logistic Regression -- V. ADVANCED TOPics -- 10. Log-Linear Analysis -- 11. Causal Models and Path Analysis -- 12. Structural Equation Models. Sozialwissenschaften Statistik Social sciences Statistical methods Statistics Datenanalyse (DE-588)4123037-1 gnd rswk-swf Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Soziologie (DE-588)4077624-4 gnd rswk-swf Soziologie (DE-588)4077624-4 s Statistik (DE-588)4056995-0 s DE-604 Empirische Sozialforschung (DE-588)4014606-6 s Datenanalyse (DE-588)4123037-1 s 1\p DE-604 Bohrnstedt, George W. Sonstige oth Mee, Alisa Potter Sonstige oth 3. Auflage Bohrnstedt, George W. Statistics for social data analysis http://www.loc.gov/catdir/toc/fy02/2002102712.html Table of contents HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014159369&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Knoke, David 1947- Statistics for social data analysis Machine generated contents note: I. BASIC CONCEPTS AND MEASURES -- 1. Statistics in the Research Process -- 2. Describing Variables -- II. STATISTICAL INFERENCE -- 3. Making Statistical Inferences -- III. ANALYZING BIVARIATE RELATIONSHIPS -- 4. Analysis of Variance -- 5. Analyzing Categoric Data -- 6. Bivariate Regression and Correlation -- IV. MULTIVARIATE MODELS -- 7. The Logic of Multivariate Contingency Analysis -- 8. Multiple Regression Analysis -- 9. Nonlinear and Logistic Regression -- V. ADVANCED TOPics -- 10. Log-Linear Analysis -- 11. Causal Models and Path Analysis -- 12. Structural Equation Models. Sozialwissenschaften Statistik Social sciences Statistical methods Statistics Datenanalyse (DE-588)4123037-1 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd Statistik (DE-588)4056995-0 gnd Soziologie (DE-588)4077624-4 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4014606-6 (DE-588)4056995-0 (DE-588)4077624-4 |
| title | Statistics for social data analysis |
| title_auth | Statistics for social data analysis |
| title_exact_search | Statistics for social data analysis |
| title_exact_search_txtP | Statistics for social data analysis |
| title_full | Statistics for social data analysis David Knoke ; George W. Bohrnstedt ; Alisa Potter Mee |
| title_fullStr | Statistics for social data analysis David Knoke ; George W. Bohrnstedt ; Alisa Potter Mee |
| title_full_unstemmed | Statistics for social data analysis David Knoke ; George W. Bohrnstedt ; Alisa Potter Mee |
| title_old | Bohrnstedt, George W. Statistics for social data analysis |
| title_short | Statistics for social data analysis |
| title_sort | statistics for social data analysis |
| topic | Sozialwissenschaften Statistik Social sciences Statistical methods Statistics Datenanalyse (DE-588)4123037-1 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd Statistik (DE-588)4056995-0 gnd Soziologie (DE-588)4077624-4 gnd |
| topic_facet | Sozialwissenschaften Statistik Social sciences Statistical methods Statistics Datenanalyse Empirische Sozialforschung Soziologie |
| url | http://www.loc.gov/catdir/toc/fy02/2002102712.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014159369&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT knokedavid statisticsforsocialdataanalysis AT bohrnstedtgeorgew statisticsforsocialdataanalysis AT meealisapotter statisticsforsocialdataanalysis |