[eBook Code] Sports Research with Analytical Solution using SPSS (eBook Code, 1st)

· 제목 : [eBook Code] Sports Research with Analytical Solution using SPSS (eBook Code, 1st) 
· 분류 : 외국도서 > 의학 > 스포츠 의학
· ISBN : 9781119206729
· 쪽수 : 392쪽

Preface xv

About the Companion Website xviii

Acknowledgments xix

1 Introduction to Data Types and SPSS Operations 1

1.1 Introduction 1

1.2 Types of data 2

1.3 Important definitions 4

1.4 Data Cleaning 4

1.5 Detection of Errors 5

1.6 How to Start Spss? 6

1.6.1 Preparing Data File 7

1.7 Exercise 10

2 Descriptive Profile 14

2.1 Introduction 14

2.2 Explanation of Various Descriptive Statistics 16

2.3 Application of Descriptive Statistics 19

2.4 Computation of Descriptive Statistics Using Spss 25

2.5 Interpretations of the Results 29

2.6 Developing Profile Chart 31

2.7 Summary of Spss Commands 33

2.8 Exercise 33

2.9 Case Study on Descriptive Analysis 36

3 Correlation Coefficient and Partial Correlation 41

3.1 Introduction 41

3.2 Correlation Matrix and Partial Correlation 43

3.3 Application of Correlation Matrix and Partial Correlation 46

3.4 Correlation Matrix with Spss 46

3.5 Partial Correlation with Spss 51

3.6 Summary of the Spss Commands 56

3.7 Exercise 57

3.8 Case Study on Correlation 60

4 Comparing Means 65

4.1 Introduction 65

4.2 One-Sample t-Test 66

4.3 Two-Sample t-Test for Unrelated Groups 67

4.4 Paired t-Test for Related Groups 70

4.5 One-Sample t-Test with Spss 73

4.6 Two-Sample t-Test for Independent Groups with Spss 78

4.7 Paired t-Test for Related Groups with Spss 85

4.8 Summary of Spss Commands for t-Tests 90

4.9 Exercise 91

4.10 Case Study 94

5 Independent Measures Anova 100

5.1 Introduction 101

5.2 One-Way Analysis of Variance 101

5.3 One-Way Anova with Spss (Equal Sample Size) 103

5.4 One-Way Anova with Spss (Unequal Sample Size) 110

5.5 Two-Way Analysis of Variance 115

5.6 Two-Way Anova Using Spss 119

5.7 Summary of the Spss Commands 137

5.8 Exercise 138

5.9 Case Study on One-Way Anova Design 143

5.10 Case Study on Two-Way Anova  147

6 Repeated Measures Anova 153

6.1 Introduction 153

6.2 One-Way Repeated Measures Anova  154

6.3 One-Way Repeated Measures Anova Using Spss 157

6.4 Two-Way Repeated Measures Anova  166

6.5 Two-Way Repeated Measures Anova Using Spss 168

6.6 Summary of the Spss Commands for One-Way Repeated Measures Anova  182

6.7 Summary of the Spss Commands for Two-Way Repeated Measures Anova  182

6.8 Exercise 183

6.9 Case Study on Repeated Measures Design 186

7 Analysis of Covariance 190

7.1 Introduction 190

7.2 Conceptual Framework of Analysis of Covariance 191

7.3 Application of ANCOVA 192

7.4 ANCOVA with Spss 193

7.5 Summary of the Spss Commands 201

7.6 Exercise 202

7.7 Case Study on ANCOVA Design 204

8 Nonparametric Tests in Sports Research 209

8.1 Introduction 209

8.2 Chi-Square Test 211

8.3 Goodness of Fit with Spss 212

8.4 Testing Independence of Two Attributes 216

8.5 Testing Association with Spss 219

8.6 Mann–Whitney U Test: Comparing Two Independent Samples 224

8.7 Wilcoxon Signed-Rank Test: For Comparing Two Related Groups 227

8.8 Kruskal–Wallis Test 231

8.9 Friedman Test 234

8.10 Summary of the Spss Commands 237

8.11 Exercise 240

8.12 Case Study on Testing Independence of Attributes 243

9 Regression Analysis and Multiple Correlations 246

9.1 Introduction 246

9.2 Understanding Regression Equation 247

9.3 Application of Regression Analysis 248

9.4 Multiple Regression Analysis with Spss 249

9.5 Summary of Spss Commands for Regression Analysis 259

9.6 Exercise 259

9.7 Case Study on Regression Analysis 263

10 Application of Discriminant Function Analysis 267

10.1 Introduction 268

10.2 Basics of Discriminant Function Analysis 268

10.3 Assumptions in Discriminant Analysis 270

10.4 Why to Use Discriminant Analysis 270

10.5 Steps in Discriminant Analysis 271

10.6 Application of Discriminant Function Analysis 272

10.7 Discriminant Analysis Using Spss 274

10.8 Summary of the Spss Commands for Discriminant Analysis 284

10.9 Exercise 284

10.10 Case Study on Discriminant Analysis 288

11 Logistic Regression for Developing Logit Model in Sport 293

11.1 Introduction 293

11.2 Understanding Logistic Regression 294

11.3 Application of Logistic Regression in Sports Research 295

11.4 Assumptions in Logistic Regression 297

11.5 Steps in Developing Logistic Model 297

11.6 Logistic Analysis Using Spss 297

11.7 Interpretation of Findings 304

11.8 Summary of the Spss Commands for Logistic Regression 310

11.9 Exercise 310

11.10 Case Study on Logistic Regression 313

12 Application of Factor Analysis 319

12.1 Introduction 319

12.2 Terminologies Used in Factor Analysis 320

12.3 Assumptions in Factor Analysis 322

12.4 Steps in Factor Analysis 323

12.5 Application of Factor Analysis 323

12.6 Factor Analysis with Spss 324

12.7 Summary of the Spss Commands for Factor Analysis 336

12.8 Exercise 336

12.9 Case Study on Factor Analysis 339

Appendix 346

Bibliography 360

Index 368