Applied statistics for the social and health sciences. (2012)

• Record Type: Book
• Further Information: Note: Rachel A. Gordon.
• Other Names: Gordon, Rachel A
• Contents: 1 GETTING STARTED -- ch. 1 Examples of Quantitative Research in the Social and Health Sciences -- 1.1. What is Regression Analysis? -- 1.2. Literature Excerpt 1.1 -- 1.3. Literature Excerpt 1 2 -- 1.4. Literature Excerpt 1.3 -- 1.5. Literature Excerpt 1.4 -- 1.6. Summary -- ch. 2 Planning a Quantitative Research Project With Existing Data -- 2.1. Sources of Existing Data -- 2.2. Thinking Forward -- 2.3. Example Research Questions -- 2.4. Example of Locating Studies in ICPSR -- 2.5. Summary -- ch. 3 Basic Features of Statistical Packages and Data Documentation -- 3.1. How are our Data Stored in the Computer? -- 3.2. Why Learn Both SAS and STATA? -- 3.3. Getting Started with a Quantitative Research Project -- 3.4. Summary -- ch. 4 Basics of Writing Batch Programs with Statistical Packages -- 4.1. Getting Started with SAS and Stata -- 4.2. Writing a Simple Batch Program -- 4.3. Expanding the Batch Program to Create New Variables. 4.4. Expanding the Batch Program to Keep a Subset of Cases -- 4.5.Complex Sampling Designs -- 4.6. Some Finishing Touches -- 4.7. Summary -- pt. 2 BASIC DESCRIPTIVE AND INFERENTIAL STATISTICS -- ch. 5 Basic Descriptive Statistics -- 5.1. Types of Variables -- 5.2. Literature Excerpts 5.1 and 5.2 -- 5.3. Nominal Variables -- 5.4. Ordinal Variables -- 5.5. Interval Variables -- 5.6. Weighted Statistics -- 5.7. Creating a Descriptive Table -- 5.8. Summary -- ch. 6 Sample, Population and Sampling Distributions -- 6.1. Statistical Inference -- 6.2. Population and Sample Distributions -- 6.3. The Sampling Distribution -- 6.4. General Concepts for Statistical Inference -- 6.5. Other Common Theoretical Distributions -- 6.6. Summary -- ch. 7 Bivariate Inferential Statistics -- 7.1. Literature Excerpts -- 7.2. One Categorical and One Interval Variable -- 7.3. Two Categorical Variables -- 7.4. Two Interval Variables -- 7.5. Weighted Statistics -- 7.6. Summary. pt. 3 ORDINARY LEAST SQUARES REGRESSION -- ch. 8 Basic Concepts of Bivariate Regression -- 8.1. Algebraic and Geometric Representations of Bivariate Regression -- 8.2. The Population Regression Line -- 8.3. The Sample Regression Line -- 8.4. Ordinary Least Squares Estimators -- 8.5.Complex Sampling Designs -- 8.6. Summary -- ch. 9 Basic Concepts of Multiple Regression -- 9.1. Algebraic and Geometric Representations of Multiple Regression -- 9.2. OLS Estimation of the Multiple Regression Model -- 9.3. Conducting Multiple Hypothesis Tests -- 9.4. General Linear F-Test -- 9.5.R-Squared -- 9.6. Information Criteria -- 9.7. Literature Excerpt 9.1 -- 9.8. Summary -- ch. 10 Dummy Variables -- 10.1. Why is a Different Approach Needed for Nominal and Ordinal Predictor Variables? -- 10.2. How Do We Define Dummy Variables? -- 10.3. Interpreting Dummy Variable Regression Models -- 10.4. Putting It All Together -- 10.5.Complex Sampling Designs -- 10.6. Summary. Ch. 11 Interactions -- 11.1. Literature Excerpt 11.1 -- 11.2. Interactions Between Two Dummy Variables -- 11.3. Interaction Between a Dummy and an Interval Variable -- 11.4. Chow Test -- 11.5. Interaction Between Two Interval Variables -- 11.6. Literature Excerpt 11.2 -- 11.7. Summary -- ch. 12 Nonlinear Relationships -- 12.1. Nonlinear Relationships -- 12.2. Summary -- ch. 13 Indirect Effects and Omitted Variable Bias -- 13.1. Literature Excerpt 13.1 -- 13.2. Defining Confounders, Mediators, and Supressor Variables -- 13.3. Omitted Variable Bias -- 13.4. Summary -- ch. 14 Outliers, Heteroskedasticity, and Multicollinearity -- 14.1. Outliers and Influential Observations -- 14.2. Heteroskedasticity -- 14.3. Multicollinearity -- 14.4.Complex Sampling Designs -- 14.5. Summary -- pt. 4 THE GENERALIZED LINEAR MODEL -- ch. 15 Introduction to the Generalized Linear Model with a Continuous Outcome -- 15.1. Literature Excerpt 15.1 -- 15.2. Maximum Likelihood Estimation. 15.3. Hypothesis Testing with Maximum Likelihood Estimation -- 15.4. The Generalized Linear Model -- 15.5. Summary -- ch. 16 Dichotomous Outcomes -- 16.1. Literature Excerpt 16.1 -- 16.2. Linear Probability Model -- 16.3. Generalized Linear Model -- 16.4. Goodness of Fit -- 16.5. Interpretation -- 16.6. Summary -- ch. 17 Multi-Category Outcomes -- 17.1. Multinomial Logit -- 17.2. Ordered Logit -- 17.3. Putting It All Together -- 17.4.Complex Sampling Designs -- 17.5. Summary -- pt. 5 WRAPPING UP -- ch. 18 Roadmap to Advanced Topics -- 18.1. Revisiting Literature Excerpts from Chapter 1 -- 18.2.A Roadmap to Statistical Methods -- 18.3.A Roadmap to Locating Courses and Resources -- 18.4. Summary -- APPENDICES -- Appendix A Summary of SAS and Stata Commands -- 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 -- Appendix C Screenshots of Data Set Documentation. Appendix D Accessing the National Survey of Families and Households Raw Data File -- Appendix E Accessing the NHIS Data -- Appendix F Using SAS and Stata's Online Documentation -- Appendix G Example of Hand-Calculating the Intercept, Slope, and Conditional Standard Deviation using Stylized Sample -- Appendix H Using Excel to Calculate and Graph Predicted Values -- Appendix I Using Hayes-Cai SAS Macro for Heteroskedasticity-Consistent Standard Errors.
• Publisher Details: New York, NY : Routledge Taylor & Francis
• Publication Date: 2012
• Extent: 1 online resource (xxii, 742 pages), illustrations
• Subjects: 519.5; Social sciences -- Statistical methods; Public health -- Statistical methods; Statistics as Topic -- methods; Biometry; Public Health; Social Sciences; Public health -- Statistical methods; Social sciences -- Statistical methods; Social Science; Mathematics; MATHEMATICS -- Probability & Statistics -- General; Public health -- Statistical methods; Social sciences -- Statistical methods; Electronic books
• Languages: English
• ISBNs: 9781136484186; 1136484183; 0203135296; 9780203135297
• Related ISBNs: 0415875366; 9780415875363
• Notes: Note: Includes bibliographical references (pages 704-714) and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.