Applied statistics for the social and health sciences:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Routledge
2012
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XXII, 742 S. Ill. 28 cm |
| ISBN: | 9780415875363 9780203135297 |
Internformat
MARC
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| 100 | 1 | |a Gordon, Rachel A. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Applied statistics for the social and health sciences |c Rachel A. Gordon |
| 264 | 1 | |a New York, NY |b Routledge |c 2012 | |
| 300 | |a XXII, 742 S. |b Ill. |c 28 cm | ||
| 336 | |b txt |2 rdacontent | ||
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| 500 | |a Includes bibliographical references and index | ||
| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Social sciences |x Statistical methods | |
| 650 | 4 | |a Public health |x Statistical methods | |
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Datensatz im Suchindex
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|---|---|
| adam_text | Titel: Applied statistics for the social and health sciences
Autor: Gordon, Rachel A
Jahr: 2012
TABLE OF CONTENTS
IN DETAIL
APPLIED STATISTICS FOR THE SOCIAL AND HEALTH SCIENCES
Preface xi
Acknowledgments xxi
PART 1: GETTING STARTED
Chapter 1 : Examples of Quantitative Research in the Social and Health Sciences 3
1.1 What is Regression Analysis? 5
1.2 Literature Excerpt 1.1 7
1.3 Literature Excerpt 1.2 13
1.4 Literature Excerpt 1.3 16
1.5 Literature Excerpt 1.4 18
1.6 Summary 20
Chapter 2: Planning a Quantitative Research Project With Existing Data 24
2.1 Sources of Existing Data 26
2.2 Thinking Forward 30
2.3 Example Research Questions 31
2.4 Example of Locating Studies in ICPSR 32
2.5 Summary 37
Chapter 3: Basic Features of Statistical Packages and Data Documentation 39
3.1 How are our Data Stored in the Computer? 40
3.2 Why Learn Both SAS and STATA? 42
3.3 Getting Started with a Quantitative Research Project 45
3.4 Summary 60
Chapter 4: Basics of Writing Batch Programs with Statistical Packages 65
4.1 Getting Started with SAS and Stata 66
4.2 Writing a Simple Batch Program 73
4.3 Expanding the Batch Program to Create New Variables 78
VIII ¦¦¦ TABLE OF CONTENTS IN DETAIL
4.4 Expanding the Batch Program to Keep a Subset of Cases 83
4.5 Complex Sampling Designs 83
4.6 Some Finishing Touches 86
4.7 Summary 88
PART 2: BASIC DESCRIPTIVE AND INFERENTIAL STATISTICS
Chapter 5: Basic Descriptive Statistics 95
5.1 Types of Variables 97
5.2 Literature Excerpts 5.1 and 5.2 101
5.3 Nominal Variables 105
5.4 Ordinal Variables 107
5.5 Interval Variables 111
5.6 Weighted Statistics 123
5.7 Creating a Descriptive Table 133
5.8 Summary 135
Chapter 6: Sample, Population and Sampling Distributions 143
6.1 Statistical Inference 144
6.2 Population and Sample Distributions 150
6.3 The Sampling Distribution 159
6.4 General Concepts for Statistical Inference 167
6.5 Other Common Theoretical Distributions 178
6.6 Summary 188
Chapter 7: Bivariate Inferential Statistics 196
7.1 Literature Excerpts 197
7.2 One Categorical and One Interval Variable 203
7.3 Two Categorical Variables 214
7.4 Two Interval Variables 222
7.5 Weighted Statistics 227
7.6 Summary 230
PART 3: ORDINARY LEAST SQUARES REGRESSION
Chapter 8: Basic Concepts of Bivariate Regression 239
8.1 Algebraic and Geometric Representations of Bivariate Regression 241
8.2 The Population Regression Line 246
8.3 The Sample Regression Line 248
8.4 Ordinary Least Squares Estimators 252
8.5 Complex Sampling Designs 281
8.6 Summary 285
Chapter 9: Basic Concepts of Multiple Regression 294
9.1 Algebraic and Geometric Representations of Multiple Regression 295
9.2 OLS Estimation of the Multiple Regression Model 300
TABLE OF CONTENTS IN DETAIL III IX
9.3 Conducting Multiple Hypothesis Tests 305
9.4 General Linear F-Test 307
9.5 ^-Squared 321
9.6 Information Criteria 323
9.7 Literature Excerpt 9.1 324
9.8 Summary 328
Chapter 10: Dummy Variables 334
10.1 Why is a Different Approach Needed for Nominal and
Ordinal Predictor Variables? 337
10.2 How Do We Define Dummy Variables? 338
10.3 Interpreting Dummy Variable Regression Models 345
10.4 Putting It All Together 366
10.5 Complex Sampling Designs 373
10.6 Summary 374
Chapter 11: Interactions 381
11.1 Literature Excerpt 11.1 383
11.2 Interactions Between Two Dummy Variables 385
11.3 Interaction Between a Dummy and an Interval Variable 397
11.4 Chow Test 407
11.5 Interaction Between Two Interval Variables 416
11.6 Literature Excerpt 11.2 421
11.7 Summary 425
Chapter 12: Nonlinear Relationships 433
12.1 Nonlinear Relationships 434
12.2 Summary 456
Chapter 13: Indirect Effects and Omitted Variable Bias 461
13.1 Literature Excerpt 13.1 462
13.2 Defining Confounders, Mediators, and Supressor Variables 464
13.3 Omitted Variable Bias 474
13.4 Summary 476
Chapter 14: Outliers, Heteroskedasticity, and Multicollinearity 481
14.1 Outliers and Influential Observations 482
14.2 Heteroskedasticity 499
14.3 Multicollinearity 503
14.4 Complex Sampling Designs 509
14.5 Summary 511
PART 4: THE GENERALIZED LINEAR MODEL
Chapter 15: Introduction to the Generalized Linear Model with a Continuous Outcome 519
15.1 Literature Excerpt 15.1 521
15.2 Maximum Likelihood Estimation 523
X ¦¦¦ TABLE OF CONTENTS IN DETAIL
15.3 Hypothesis Testing with Maximum Likelihood Estimation 537
15.4 The Generalized Linear Model 541
15.5 Summary 547
Chapter 16: Dichotomous Outcomes 552
16.1 Literature Excerpt 16.1 554
16.2 Linear Probability Model 558
16.3 Generalized Linear Model 563
16.4 Goodness of Fit 573
16.5 Interpretation 588
16.6 Summary 602
Chapter 17: Multi-Category Outcomes 609
17.1 Multinomial Logit 611
17.2 Ordered Logit 633
17.3 Putting It All Together 647
17.4 Complex Sampling Designs 662
17.5 Summary 662
PART 5: WRAPPING UP
Chapter 18: Roadmap to Advanced Topics 671
18.1 Revisiting Literature Excerpts from Chapter 1 672
18.2 A Roadmap to Statistical Methods 674
18.3 A Roadmap to Locating Courses and Resources 682
18.4 Summary 683
APPENDICES
Appendix A: Summary of SAS and Stata Commands Al
Appendix B: Examples of Data Coding, and of the SAS and Stata Interface,
Commands, and Results, Based on the National Survey of Families
and Households Bl
Appendix C: Screenshots of Data Set Documentation CI
Appendix D: Accessing the National Survey of Families and Households Raw Data File Dl
Appendix E: Accessing the NHIS Data El
Appendix F: Using SAS and Stata s Online Documentation Fl
Appendix G: Example of Hand-Calculating the Intercept, Slope, and
Conditional Standard Deviation using Stylized Sample Gl
Appendix H: Using Excel to Calculate and Graph Predicted Values HI
Appendix I: Using Hayes-Cai SAS Macro for Heteroskedasticity-Consistent
Standard Errors
Motes 685
Bibliography jq4
Glossary/Index yjj
|
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| isbn | 9780415875363 9780203135297 |
| language | English |
| lccn | 2011040016 |
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| spelling | Gordon, Rachel A. Verfasser aut Applied statistics for the social and health sciences Rachel A. Gordon New York, NY Routledge 2012 XXII, 742 S. Ill. 28 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Sozialwissenschaften Social sciences Statistical methods Public health Statistical methods HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025221070&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gordon, Rachel A. Applied statistics for the social and health sciences Sozialwissenschaften Social sciences Statistical methods Public health Statistical methods |
| title | Applied statistics for the social and health sciences |
| title_auth | Applied statistics for the social and health sciences |
| title_exact_search | Applied statistics for the social and health sciences |
| title_full | Applied statistics for the social and health sciences Rachel A. Gordon |
| title_fullStr | Applied statistics for the social and health sciences Rachel A. Gordon |
| title_full_unstemmed | Applied statistics for the social and health sciences Rachel A. Gordon |
| title_short | Applied statistics for the social and health sciences |
| title_sort | applied statistics for the social and health sciences |
| topic | Sozialwissenschaften Social sciences Statistical methods Public health Statistical methods |
| topic_facet | Sozialwissenschaften Social sciences Statistical methods Public health Statistical methods |
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