| Acknowledgments |
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ix | |
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1 What Is Statistical Analysis from a Research Perspective? |
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1 | (10) |
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1.1 A Statistical Association: COVID-19 Spread and Residential Property Prices |
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1 | (2) |
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1.2 Why Do Statistical Analysis in Research? The Book's Purpose and Pedagogical Approach |
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3 | (2) |
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1.3 Three Types of Statistical Research Questions: Descriptive, Associational, and Inferential |
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5 | (1) |
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1.4 Some Key Concepts You Really Should Understand |
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5 | (3) |
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1.5
Chapter Summary, Key Learning Points, and the Organization of the Rest of the Book |
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8 | (3) |
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10 | (1) |
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2 Descriptive Research Questions |
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11 | (46) |
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2.1 Introduction and
Chapter Overview |
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11 | (1) |
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2.2 What is Typical? Three Measures of Central Tendency: Mean, Median, and Mode |
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11 | (9) |
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2.3 Variables' Measurement Levels: Continuous or Categorical Variables |
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20 | (5) |
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2.4 Ordinal Variables: A Third and Special-Case Measurement Level |
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25 | (2) |
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2.5 Visual Presentation of Descriptive Statistics: Graphs |
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27 | (3) |
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2.6 The Concept of Variation: Statistical Spread for Continuous Variables |
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30 | (5) |
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2.7 Foreshadowing Associational Research Questions: Descriptive Statistics for Subgroups |
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35 | (1) |
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2.8
Chapter Summary, Key Learning Points, and Further Reading |
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35 | (2) |
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2.9 Executing Statistical Commands: Do-Files in Stata and Syntax-Files in SPSS |
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37 | (10) |
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2.10
Chapter Exercises with Solutions |
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47 | (10) |
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50 | (2) |
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Appendix A Christmas Beer Data |
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52 | (1) |
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53 | (2) |
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Appendix C Student Exercise Data |
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55 | (2) |
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3 Associational Research Questions I: Bivariate Analysis |
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57 | (36) |
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3.1 Introduction: The Association between Two Variables, x and y |
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57 | (1) |
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3.2 A Categorical x and a Categorical y: Cross-Tabulation |
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57 | (4) |
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3.3 A Categorical x and a Continuous y: ANOVA |
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61 | (3) |
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3.4 A Continuous x and a Continuous y: Regression Analysis |
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64 | (7) |
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3.5 An Ordinal y and Bivariate Analysis |
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71 | (3) |
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3.6 The Limitations of Bivariate Analysis: The Need for Statistical Control for a Third Variable |
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74 | (1) |
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3.7 Experimental Control for a Third (and Fourth) Variable |
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75 | (1) |
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3.8
Chapter Summary, Key Learning Points, and Further Reading |
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76 | (1) |
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3.9 Do-Files in Stata and Syntax-Files in SPSS |
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77 | (8) |
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3.10
Chapter Exercises with Solutions |
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85 | (8) |
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91 | (2) |
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4 Associational Research Questions II: Multiple Regression |
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93 | (56) |
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4.1 Introduction and
Chapter Overview |
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93 | (1) |
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4.2 Statistical Control for Observational Data: Two Examples |
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93 | (7) |
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4.3 The Multiple Regression Model and R2 |
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100 | (4) |
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104 | (6) |
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4.5 Interaction Effects (Moderator Effects) |
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110 | (5) |
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4.6 Regression on Experimental Data |
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115 | (4) |
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119 | (6) |
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4.8
Chapter Summary, Key Learning Points, and Further Reading |
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125 | (1) |
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4.9 Do-Files in Stata and Syntax-Files in SPSS |
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125 | (11) |
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4.10
Chapter Exercises with Solutions |
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136 | (13) |
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143 | (2) |
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Appendix A Student Exercise Motive Data |
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145 | (2) |
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Appendix B Student Tourism Data |
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147 | (1) |
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148 | (1) |
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5 Inferential Research Questions |
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149 | (47) |
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5.1 Introduction and
Chapter Overview |
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149 | (1) |
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5.2 Samples, Populations, and Random Sampling |
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149 | (2) |
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5.3 Repeated Sampling and the Normal Distribution |
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151 | (4) |
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5.4 The 95 Percent CI for Descriptive Statistics: Means and Proportions |
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155 | (3) |
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5.5 The 95 Percent CI for Variable Associations |
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158 | (3) |
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5.6 Verifying That Random Sampling and the Central Limit Theorem Work as Promised |
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161 | (3) |
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5.7 Hypothesis Testing and the Assessment of Statistical Significance |
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164 | (11) |
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5.8 Critical Aspects of Significance Testing |
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175 | (3) |
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5.9
Chapter Summary, Key Learning Points, and Further Reading |
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178 | (1) |
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5.10 Do-Files in Stata and Syntax-Files in SPSS |
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179 | (6) |
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5.11
Chapter Exercises with Solutions |
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185 | (11) |
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193 | (3) |
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6 Doing Quantitative Research: Some Tricks of the Trade |
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196 | (52) |
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6.1 Introduction and
Chapter Overview |
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196 | (1) |
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6.2 Creating, Recoding, and Labeling New Variables |
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196 | (3) |
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6.3 Creating a New Variable by Combining Existing Variables |
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199 | (2) |
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6.4 Missing Data and What to Do about Them |
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201 | (8) |
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6.5 Outliers: When Too Much Information Causes Trouble |
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209 | (3) |
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6.6 The Assumptions of Regression Analysis |
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212 | (9) |
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221 | (3) |
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6.8 How to Present and Communicate Statistical-Association Results |
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224 | (7) |
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6.9
Chapter Summary, Key Learning Points, and Further Reading |
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231 | (1) |
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6.10 Statistical Commands: Do-Files in Stata and Syntax-Files in SPSS |
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232 | (6) |
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6.11
Chapter Exercises with Solutions |
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238 | (10) |
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246 | (2) |
| Appendix A Female Student Weight Data |
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248 | (1) |
| References |
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249 | (2) |
| Index |
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251 | |
Lisainfo e-raamatute kohta