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Applied statistics for the social and health sciences / / Rachel A. Gordon
Applied statistics for the social and health sciences / / Rachel A. Gordon
Autore Gordon Rachel A.
Pubbl/distr/stampa New York, N.Y. : , : Routledge, , 2012
Descrizione fisica 1 online resource (1583 p.)
Disciplina 519.5
Soggetto topico Social sciences - Statistical methods
Public health - Statistical methods
Soggetto genere / forma Electronic books.
ISBN 1-283-52115-6
9786613833600
0-203-13529-6
1-136-48418-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; APPLIED STATISTICS FOR THE SOCIAL AND HEALTH SCIENCES; Title Page; Copyright; TABLE OF CONTENTS IN BRIEF; TABLE OF CONTENTS IN DETAIL; Preface; Acknowledgments; PART 1: GETTING STARTED; Chapter 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; Chapter 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 ICPSR2.5 Summary; Chapter 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; Chapter 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 SummaryPART 2: BASIC DESCRIPTIVE AND INFERENTIAL STATISTICS; Chapter 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; Chapter 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
Chapter 7: Bivariate Inferential Statistics7.1 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; PART 3: ORDINARY LEAST SQUARES REGRESSION; Chapter 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; Chapter 9: Basic Concepts of Multiple Regression
9.1 Algebraic and Geometric Representations of Multiple Regression9.2 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; Chapter 10: Dummy Variables 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; Chapter 11: Interactions
11.1 Literature Excerpt 11.1
Record Nr. UNINA-9910461772703321
Gordon Rachel A.  
New York, N.Y. : , : Routledge, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied statistics for the social and health sciences / / Rachel A. Gordon
Applied statistics for the social and health sciences / / Rachel A. Gordon
Autore Gordon Rachel A.
Pubbl/distr/stampa New York, N.Y. : , : Routledge, , 2012
Descrizione fisica 1 online resource (1583 p.)
Disciplina 519.5
Soggetto topico Social sciences - Statistical methods
Public health - Statistical methods
ISBN 1-136-48417-5
1-283-52115-6
9786613833600
0-203-13529-6
1-136-48418-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; APPLIED STATISTICS FOR THE SOCIAL AND HEALTH SCIENCES; Title Page; Copyright; TABLE OF CONTENTS IN BRIEF; TABLE OF CONTENTS IN DETAIL; Preface; Acknowledgments; PART 1: GETTING STARTED; Chapter 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; Chapter 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 ICPSR2.5 Summary; Chapter 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; Chapter 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 SummaryPART 2: BASIC DESCRIPTIVE AND INFERENTIAL STATISTICS; Chapter 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; Chapter 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
Chapter 7: Bivariate Inferential Statistics7.1 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; PART 3: ORDINARY LEAST SQUARES REGRESSION; Chapter 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; Chapter 9: Basic Concepts of Multiple Regression
9.1 Algebraic and Geometric Representations of Multiple Regression9.2 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; Chapter 10: Dummy Variables 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; Chapter 11: Interactions
11.1 Literature Excerpt 11.1
Record Nr. UNINA-9910790326003321
Gordon Rachel A.  
New York, N.Y. : , : Routledge, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui