Doing statistical analysis: a student's guide to quantitative research

<P><EM>Acknowledgments</EM></P><P></P><P>1. What is statistical analysis from a research perspective?</P><P>1.1 A statistical association: Covid-19 spread and residential property prices </P><P>1.2 Why do statistical analysis in research? The book's purpose and pedagogical approach </P><P>1.3 Three types of statistical research questions: Descriptive, associational, and inferential</P><P>1.4 Some key concepts you really should understand </P><P>1.5 Chapter summary, key learning points, and the organization of the rest of the book</P><P></P><P>2. Descriptive research questions </P><P>2.1 Introduction and chapter overview</P><P>2.2 What is typical? Three measures of central tendency: Mean, median, and mode</P><P>2.3 Variables' measurement levels: Continuous or categorical variables</P><P>2.4 Ordinal variables: A third and special-case measurement level</P><P>2.5 Visual presentation of descriptive statistics: Graphs </P><P>2.6 The concept of variation: Statistical spread for continuous variables</P><P>2.7 Foreshadowing associational research questions: Descriptive statistics for subgroups </P><P>2.8 Chapter summary, key learning points, and further reading</P><P>2.9 Executing statistical commands: do-files in Stata and syntax-files in SPSS</P><P>2.10 Chapter exercises with solutions</P><P>Appendix A: Christmas beer data </P><P>Appendix B: Soccer data </P><P>Appendix C: Student exercise data </P><P>3. Associational research questions I: Bivariate analysis</P><P>3.1 Introduction: The association between two variables, <I>x</I> and <I>y</P></I><P>3.2 A categorical <I>x</I> and a categorical <I>y</I>: Cross-tabulation</P><P>3.3 A categorical <I>x</I> and a continuous <I>y</I>: ANOVA</P><P>3.4 A continuous <I>x </I>and a continuous <I>y</I>: Regression analysis </P><P>3.5 An ordinal <I>y</I> and bivariate analysis</P><P>3.6 The limitations of bivariate analysis: The need for statistical control for a third variable</P><P>3.7 Experimental control for a third (and fourth) variable</P><P>3.8 Chapter summary, key learning points, and further reading</P><P>3.9 Do-files in Stata and syntax-files in SPSS</P><P>3.10 Chapter exercises with solutions</P><P></P><P>4. Associational research questions II: Multiple regression</P><P>4.1 Introduction and chapter overview</P><P>4.2 Statistical control for observational data: Two examples</P><P>4.3 The multiple regression model and R<SUP>2</P><P></SUP>4.4 Non-linear effects</P><P>4.5 Interaction effects (moderator effects)</P><P>4.6 Regression on experimental data</P><P>4.7 A dummy <I>y</P></I><P>4.8 Chapter summary, key learning points, and further reading</P><P>4.9 Do-files in Stata and syntax-files in SPSS</P><P>4.10 Chapter exercises with solutions</P><P>Appendix A: Student exercise motive data</P><P>Appendix B: Student tourism data</P><P>Appendix C: Red wine data </P><P></P><P></P><P>5. Inferential research questions</P><P>5.1 Introduction and chapter overview</P><P>5.2 Samples, populations, and random sampling</P><P>5.3 Repeated sampling and the normal distribution</P><P>5.4 The 95 percent CI for descriptive statistics: Means and proportions</P><P>5.5 The 95 percent CI for variable associations</P><P>5.6 Verifying that random sampling and the Central Limit Theorem work as promised</P><P>5.7 Hypothesis testing and the assessment of statistical significance</P><P>5.8 Critical aspects of significance testing</P><P>5.9 Chapter summary, key learning points, and further reading</P><P>5.10 Do-files in Stata and syntax-files in SPSS</P><P>5.11 Chapter exercises with solutions</P><P></P><P>6. Doing quantitative research: Some tricks of the trade </P><P>6.1 Introduction and chapter overview</P><P>6.2 Creating, recoding, and labeling new variables </P><P>6.3 Creating a new variable by combining existing variables</P><P>6.4 Missing data and what to do about them</P><P>6.5 Outliers: When too much information causes trouble</P><P>6.6 The assumptions of regression analysis</P><P>6.7 Effect sizes</P><P>6.8 How to present and communicate statistical-association results</P><P>6.9 Chapter summary, key learning points, and further reading</P><P>6.10 Statistical commands: Do-files in Stata and syntax-files in SPSS</P><P>6.11 Chapter exercises with solutions</P><P>Appendix A: Female student weight data</P><P></P><P>References</P><P>Index</P><P></P><P> </P>