Sports Research with Analytical Solution using SPSS

Name: Sports Research with Analytical Solution using SPSS
Brand: Wiley
Price: 107.99 EUR
Availability: OnlineOnly

J. P. Verma(Autor*in)

Wiley (Verlag)

Erschienen am 31. März 2016

392 Seiten

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Beschreibung

A step-by-step approach to problem-solving techniques using SPSS® in the fields of sports science and physical education
Featuring a clear and accessible approach to the methods, processes, and statistical techniques used in sports science and physical education, Sports Research with Analytical Solution using SPSS® emphasizes how to conduct and interpret a range of statistical analysis using SPSS. The book also addresses issues faced by research scholars in these fields by providing analytical solutions to various research problems without reliance on mathematical rigor.
Logically arranged to cover both fundamental and advanced concepts, the book presents standard univariate and complex multivariate statistical techniques used in sports research such as multiple regression analysis, discriminant analysis, cluster analysis, and factor analysis. The author focuses on the treatment of various parametric and nonparametric statistical tests, which are shown through the techniques and interpretations of the SPSS outputs that are generated for each analysis. Sports Research with Analytical Solution using SPSS® also features:
* Numerous examples and case studies to provide readers with practical applications of the analytical concepts and techniques
* Plentiful screen shots throughout to help demonstrate the implementation of SPSS outputs
* Illustrative studies with simulated realistic data to clarify the analytical techniques covered
* End-of-chapter short answer questions, multiple choice questions, assignments, and practice exercises to help build a better understanding of the presented concepts
* A companion website with associated SPSS data files and PowerPoint® presentations for each chapter
Sports Research with Analytical Solution using SPSS® is an excellent textbook for upper-undergraduate, graduate, and PhD-level courses in research methods, kinesiology, sports science, medicine, nutrition, health education, and physical education. The book is also an ideal reference for researchers and professionals in the fields of sports research, sports science, physical education, and social sciences, as well as anyone interested in learning SPSS.

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Inhalt

1 - Title Page [Seite 5]
2 - Copyright Page [Seite 6]
3 - Contents [Seite 9]
4 - Preface [Seite 17]
5 - About the Companion Website [Seite 20]
6 - Chapter 1 Introduction to Data Types and SPSS Operations [Seite 23]
6.1 - 1.1 INTRODUCTION [Seite 23]
6.2 - 1.2 TYPES OF DATA [Seite 24]
6.2.1 - 1.2.1 Qualitative Data [Seite 24]
6.2.2 - 1.2.2 Quantitative Data [Seite 25]
6.3 - 1.3 IMPORTANT DEFINITIONS [Seite 26]
6.3.1 - 1.3.1 Variable [Seite 26]
6.4 - 1.4 DATA CLEANING [Seite 26]
6.5 - 1.5 DETECTION OF ERRORS [Seite 27]
6.5.1 - 1.5.1 Using Frequencies [Seite 27]
6.5.2 - 1.5.2 Using Mean and Standard Deviation [Seite 27]
6.5.3 - 1.5.3 Logic Checks [Seite 27]
6.5.4 - 1.5.4 Outlier Detection [Seite 27]
6.6 - 1.6 HOW TO START SPSS? [Seite 28]
6.6.1 - 1.6.1 Preparing Data File [Seite 29]
6.7 - 1.7 EXERCISE [Seite 32]
6.7.1 - 1.7.1 Short Answer Questions [Seite 32]
6.7.2 - 1.7.2 Multiple Choice Questions [Seite 33]
7 - Chapter 2 Descriptive Profile [Seite 36]
7.1 - 2.1 INTRODUCTION [Seite 36]
7.2 - 2.2 EXPLANATION OF VARIOUS DESCRIPTIVE STATISTICS [Seite 38]
7.2.1 - 2.2.1 Mean [Seite 38]
7.2.2 - 2.2.2 Variance [Seite 38]
7.2.3 - 2.2.3 Standard Error of Mean [Seite 39]
7.2.4 - 2.2.4 Skewness [Seite 39]
7.2.5 - 2.2.5 Kurtosis [Seite 40]
7.2.6 - 2.2.6 Percentiles [Seite 41]
7.3 - 2.3 APPLICATION OF DESCRIPTIVE STATISTICS [Seite 41]
7.3.1 - 2.3.1 Testing Normality of Data and Identifying Outliers [Seite 42]
7.4 - 2.4 COMPUTATION OF DESCRIPTIVE STATISTICS USING SPSS [Seite 47]
7.4.1 - 2.4.1 Preparation of Data File [Seite 47]
7.4.2 - 2.4.2 Defining Variables [Seite 48]
7.4.3 - 2.4.3 Entering Data [Seite 48]
7.4.4 - 2.4.4 SPSS Commands [Seite 48]
7.5 - 2.5 INTERPRETATIONS OF THE RESULTS [Seite 51]
7.6 - 2.6 DEVELOPING PROFILE CHART [Seite 53]
7.7 - 2.7 SUMMARY OF SPSS COMMANDS [Seite 55]
7.8 - 2.8 EXERCISE [Seite 55]
7.8.1 - 2.8.1 Short Answer Questions [Seite 55]
7.8.2 - 2.8.2 Multiple Choice Questions [Seite 56]
7.9 - 2.9 CASE STUDY ON DESCRIPTIVE ANALYSIS [Seite 58]
8 - Chapter 3 Correlation Coefficient and Partial Correlation [Seite 63]
8.1 - 3.1 INTRODUCTION [Seite 63]
8.2 - 3.2 CORRELATION MATRIX AND PARTIAL CORRELATION [Seite 65]
8.2.1 - 3.2.1 Product Moment Correlation Coefficient [Seite 65]
8.2.2 - 3.2.2 Partial Correlation [Seite 67]
8.3 - 3.3 APPLICATION OF CORRELATION MATRIX AND PARTIAL CORRELATION [Seite 68]
8.4 - 3.4 CORRELATION MATRIX WITH SPSS [Seite 68]
8.4.1 - 3.4.1 Computation in Correlation Matrix [Seite 68]
8.4.2 - 3.4.2 Interpretations of Findings [Seite 73]
8.5 - 3.5 PARTIAL CORRELATION WITH SPSS [Seite 73]
8.5.1 - 3.5.1 Computation of Partial Correlations [Seite 74]
8.5.2 - 3.5.2 Interpretation of Partial Correlation [Seite 77]
8.6 - 3.6 SUMMARY OF THE SPSS COMMANDS [Seite 78]
8.6.1 - 3.6.1 For Computing Correlation Matrix [Seite 78]
8.6.2 - 3.6.2 For Computing Partial Correlations [Seite 79]
8.7 - 3.7 EXERCISE [Seite 79]
8.7.1 - 3.7.1 Short Answer Questions [Seite 79]
8.7.2 - 3.7.2 Multiple Choice Questions [Seite 79]
8.7.3 - 3.7.3 Assignment [Seite 82]
8.8 - 3.8 CASE STUDY ON CORRELATION [Seite 82]
9 - Chapter 4 Comparing Means [Seite 87]
9.1 - 4.1 INTRODUCTION [Seite 87]
9.2 - 4.2 ONE-SAMPLE t-TEST [Seite 88]
9.2.1 - 4.2.1 Application of One-Sample t-Test [Seite 89]
9.3 - 4.3 TWO-SAMPLE t-TEST FOR UNRELATED GROUPS [Seite 89]
9.3.1 - 4.3.1 Assumptions While Using t-Test [Seite 89]
9.3.2 - 4.3.2 Case I: Two-Tailed Test [Seite 90]
9.3.3 - 4.3.3 Case II: Right Tailed Test [Seite 90]
9.3.4 - 4.3.4 Case III: Left Tailed Test [Seite 91]
9.3.5 - 4.3.5 Application of Two-Sample t-Test [Seite 92]
9.4 - 4.4 PAIRED t-TEST FOR RELATED GROUPS [Seite 92]
9.4.1 - 4.4.1 Case I: Two-Tailed Test [Seite 93]
9.4.2 - 4.4.2 Case II: Right Tailed Test [Seite 93]
9.4.3 - 4.4.3 Case III: Left Tailed Test [Seite 94]
9.4.4 - 4.4.4 Application of Paired t-Test [Seite 95]
9.5 - 4.5 ONE-SAMPLE t-TEST WITH SPSS [Seite 95]
9.5.1 - 4.5.1 Computation in t-Test for Single Group [Seite 96]
9.5.2 - 4.5.2 Interpretation of Findings [Seite 99]
9.6 - 4.6 TWO-SAMPLE t-TEST FOR INDEPENDENT GROUPS WITH SPSS [Seite 100]
9.6.1 - 4.6.1 Computation in Two-Sample t-Test [Seite 101]
9.6.2 - 4.6.2 Interpretation of Findings [Seite 105]
9.7 - 4.7 PAIRED t-TEST FOR RELATED GROUPS WITH SPSS [Seite 107]
9.7.1 - 4.7.1 Computation in Paired t-Test [Seite 108]
9.7.2 - 4.7.2 Interpretation of Findings [Seite 111]
9.8 - 4.8 SUMMARY OF SPSS COMMANDS FOR t-TESTS [Seite 112]
9.8.1 - 4.8.1 One-Sample t-Test [Seite 112]
9.8.2 - 4.8.2 Two-Sample t-Test for Independent Groups [Seite 112]
9.8.3 - 4.8.3 Paired t-Test [Seite 113]
9.9 - 4.9 EXERCISE [Seite 113]
9.9.1 - 4.9.1 Short Answer Questions [Seite 113]
9.9.2 - 4.9.2 Multiple Choice Questions [Seite 113]
9.9.3 - 4.9.3 Assignment [Seite 115]
9.10 - 4.10 CASE STUDY [Seite 116]
10 - Chapter 5 Independent Measures Anova [Seite 122]
10.1 - 5.1 INTRODUCTION [Seite 123]
10.2 - 5.2 ONE-WAY ANALYSIS OF VARIANCE [Seite 123]
10.2.1 - 5.2.1 One-Way ANOVA Model [Seite 124]
10.2.2 - 5.2.2 Post Hoc Test [Seite 124]
10.2.3 - 5.2.3 Application of One-Way ANOVA [Seite 125]
10.3 - 5.3 ONE-WAY ANOVA WITH SPSS (EQUAL SAMPLE SIZE) [Seite 125]
10.3.1 - 5.3.1 Computation in One-Way ANOVA (Equal Sample Size) [Seite 126]
10.3.2 - 5.3.2 Interpretation of Findings [Seite 129]
10.4 - 5.4 ONE-WAY ANOVA WITH SPSS (UNEQUAL SAMPLE SIZE) [Seite 132]
10.4.1 - 5.4.1 Computation in One-Way ANOVA (Unequal Sample Size) [Seite 133]
10.4.2 - 5.4.2 Interpretation of Findings [Seite 136]
10.5 - 5.5 TWO-WAY ANALYSIS OF VARIANCE [Seite 137]
10.5.1 - 5.5.1 Assumptions in Two-Way Analysis of Variance [Seite 138]
10.5.2 - 5.5.2 Hypotheses in Two-Way ANOVA [Seite 138]
10.5.3 - 5.5.3 Factors [Seite 139]
10.5.4 - 5.5.4 Treatment Groups [Seite 139]
10.5.5 - 5.5.5 Main Effect [Seite 139]
10.5.6 - 5.5.6 Interaction Effect [Seite 139]
10.5.7 - 5.5.7 Within-Groups Variation [Seite 139]
10.5.8 - 5.5.8 F-Statistic [Seite 139]
10.5.9 - 5.5.9 Two-Way ANOVA Table [Seite 140]
10.5.10 - 5.5.10 Interpretation [Seite 140]
10.5.11 - 5.5.11 Application of Two-Way Analysis of Variance [Seite 140]
10.6 - 5.6 TWO-WAY ANOVA USING SPSS [Seite 141]
10.6.1 - 5.6.1 Computation in Two-Way ANOVA [Seite 143]
10.6.2 - 5.6.2 Interpretation of Findings [Seite 148]
10.7 - 5.7 SUMMARY OF THE SPSS COMMANDS [Seite 159]
10.7.1 - 5.7.1 One-Way ANOVA [Seite 159]
10.7.2 - 5.7.2 Two-Way ANOVA [Seite 160]
10.8 - 5.8 EXERCISE [Seite 160]
10.8.1 - 5.8.1 Short Answer Questions [Seite 160]
10.8.2 - 5.8.2 Multiple Choice Questions [Seite 161]
10.8.3 - 5.8.3 Assignment [Seite 164]
10.9 - 5.9 CASE STUDY ON ONE-WAY ANOVA DESIGN [Seite 165]
10.10 - 5.10 CASE STUDY ON TWO-WAY ANOVA [Seite 169]
11 - Chapter 6 Repeated Measures Anova [Seite 175]
11.1 - 6.1 INTRODUCTION [Seite 175]
11.2 - 6.2 ONE-WAY REPEATED MEASURES ANOVA [Seite 176]
11.2.1 - 6.2.1 Assumptions in One-Way Repeated Measures ANOVA [Seite 177]
11.2.2 - 6.2.2 Application in Sports Research [Seite 177]
11.2.3 - 6.2.3 Steps in Solving One-Way Repeated Measures ANOVA [Seite 178]
11.3 - 6.3 ONE-WAY REPEATED MEASURES ANOVA USING SPSS [Seite 179]
11.3.1 - 6.3.1 Computation in the One-Way Repeated Measures ANOVA [Seite 179]
11.3.2 - 6.3.2 Interpretation of Findings [Seite 183]
11.3.3 - 6.3.3 Findings of the Study [Seite 187]
11.3.4 - 6.3.4 Inference [Seite 188]
11.4 - 6.4 TWO-WAY REPEATED MEASURES ANOVA [Seite 188]
11.4.1 - 6.4.1 Assumptions in Two-Way Repeated Measures ANOVA [Seite 188]
11.4.2 - 6.4.2 Application in Sports Research [Seite 189]
11.4.3 - 6.4.3 Steps in Solving Two-Way Repeated Measures ANOVA [Seite 189]
11.5 - 6.5 TWO-WAY REPEATED MEASURES ANOVA USING SPSS [Seite 190]
11.5.1 - 6.5.1 Computation in Two-Way Repeated Measures ANOVA [Seite 192]
11.5.2 - 6.5.2 Interpretation of Findings [Seite 195]
11.5.3 - 6.5.3 Findings of the Study [Seite 203]
11.5.4 - 6.5.4 Inference [Seite 203]
11.6 - 6.6 SUMMARY OF THE SPSS COMMANDS FOR ONE-WAY REPEATED MEASURES ANOVA [Seite 204]
11.7 - 6.7 SUMMARY OF THE SPSS COMMANDS FOR TWO-WAY REPEATED MEASURES ANOVA [Seite 204]
11.8 - 6.8 EXERCISE [Seite 205]
11.8.1 - 6.8.1 Short Answer Questions [Seite 205]
11.8.2 - 6.8.2 Multiple Choice Questions [Seite 205]
11.8.3 - 6.8.3 Assignment [Seite 207]
11.9 - 6.9 CASE STUDY ON REPEATED MEASURES DESIGN [Seite 208]
12 - Chapter 7 Analysis of Covariance [Seite 212]
12.1 - 7.1 INTRODUCTION [Seite 212]
12.2 - 7.2 CONCEPTUAL FRAMEWORK OF ANALYSIS OF COVARIANCE [Seite 213]
12.3 - 7.3 APPLICATION OF ANCOVA [Seite 214]
12.4 - 7.4 ANCOVA WITH SPSS [Seite 215]
12.4.1 - 7.4.1 Computation in ANCOVA [Seite 216]
12.5 - 7.5 SUMMARY OF THE SPSS COMMANDS [Seite 223]
12.6 - 7.6 EXERCISE [Seite 224]
12.6.1 - 7.6.1 Short Answer Questions [Seite 224]
12.6.2 - 7.6.2 Multiple Choice Questions [Seite 224]
12.6.3 - 7.6.3 Assignment [Seite 225]
12.7 - 7.7 CASE STUDY ON ANCOVA DESIGN [Seite 226]
13 - Chapter 8 Nonparametric Tests in Sports Research [Seite 231]
13.1 - 8.1 INTRODUCTION [Seite 231]
13.2 - 8.2 CHI-SQUARE TEST [Seite 233]
13.2.1 - 8.2.1 Testing Goodness of Fit [Seite 233]
13.2.2 - 8.2.2 Yates' Correction [Seite 234]
13.2.3 - 8.2.3 Contingency Coefficient [Seite 234]
13.3 - 8.3 GOODNESS OF FIT WITH SPSS [Seite 234]
13.3.1 - 8.3.1 Computation in Goodness of Fit [Seite 235]
13.3.2 - 8.3.2 Interpretation of Findings [Seite 238]
13.4 - 8.4 TESTING INDEPENDENCE OF TWO ATTRIBUTES [Seite 238]
13.4.1 - 8.4.1 Interpretation [Seite 240]
13.5 - 8.5 TESTING ASSOCIATION WITH SPSS [Seite 241]
13.5.1 - 8.5.1 Computation in Chi-Square [Seite 241]
13.5.2 - 8.5.2 Interpretation of Findings [Seite 245]
13.6 - 8.6 MANN-WHITNEY U TEST: COMPARING TWO INDEPENDENT SAMPLES [Seite 246]
13.6.1 - 8.6.1 Computation in Mann-Whitney U Statistic Using SPSS [Seite 246]
13.6.2 - 8.6.2 Interpretation of Findings [Seite 248]
13.7 - 8.7 WILCOXON SIGNED-RANK TEST: FOR COMPARING TWO RELATED GROUPS [Seite 249]
13.7.1 - 8.7.1 Computation in Wilcoxon Signed-Rank Test Using SPSS [Seite 250]
13.7.2 - 8.7.2 Interpretation of Findings [Seite 252]
13.8 - 8.8 KRUSKAL-WALLIS TEST [Seite 253]
13.8.1 - 8.8.1 Computation in Kruskal-Wallis Test Using SPSS [Seite 254]
13.8.2 - 8.8.2 Interpretation of Findings [Seite 256]
13.9 - 8.9 FRIEDMAN TEST [Seite 256]
13.9.1 - 8.9.1 Computation in Friedman Test Using SPSS [Seite 257]
13.9.2 - 8.9.2 Interpretation of Findings [Seite 259]
13.10 - 8.10 SUMMARY OF THE SPSS COMMANDS [Seite 259]
13.10.1 - 8.10.1 Computing Chi-Square Statistic (for Testing Goodness of Fit) [Seite 259]
13.10.2 - 8.10.2 Computing Chi-Square Statistic (for Testing Independence) [Seite 260]
13.10.3 - 8.10.3 Computation in Mann-Whitney U Test [Seite 260]
13.10.4 - 8.10.4 Computation in Wilcoxon Signed-Rank Test [Seite 261]
13.10.5 - 8.10.5 Computation in Kruskal-Wallis Test [Seite 261]
13.10.6 - 8.10.6 Computation in Friedman Test [Seite 261]
13.11 - 8.11 EXERCISE [Seite 262]
13.11.1 - 8.11.1 Short Answer Questions [Seite 262]
13.11.2 - 8.11.2 Multiple Choice Questions [Seite 263]
13.11.3 - 8.11.3 Assignment [Seite 265]
13.12 - 8.12 CASE STUDY ON TESTING INDEPENDENCE OF ATTRIBUTES [Seite 265]
14 - Chapter 9 Regression Analysis and Multiple Correlations [Seite 268]
14.1 - 9.1 INTRODUCTION [Seite 268]
14.2 - 9.2 UNDERSTANDING REGRESSION EQUATION [Seite 269]
14.2.1 - 9.2.1 Methods of Regression Analysis [Seite 269]
14.2.2 - 9.2.2 Multiple Correlation [Seite 270]
14.3 - 9.3 APPLICATION OF REGRESSION ANALYSIS [Seite 270]
14.4 - 9.4 MULTIPLE REGRESSION ANALYSIS WITH SPSS [Seite 271]
14.4.1 - 9.4.1 Computation in Regression Analysis [Seite 271]
14.4.2 - 9.4.2 Interpretation of Findings [Seite 276]
14.5 - 9.5 SUMMARY OF SPSS COMMANDS FOR REGRESSION ANALYSIS [Seite 281]
14.6 - 9.6 Exercise [Seite 281]
14.6.1 - 9.6.1 Short Answer Questions [Seite 281]
14.6.2 - 9.6.2 Multiple Choice Questions [Seite 282]
14.6.3 - 9.6.3 Assignment [Seite 283]
14.7 - 9.7 CASE STUDY ON REGRESSION ANALYSIS [Seite 285]
15 - Chapter 10 Application of Discriminant Function Analysis [Seite 289]
15.1 - 10.1 INTRODUCTION [Seite 290]
15.2 - 10.2 BASICS OF DISCRIMINANT FUNCTION ANALYSIS [Seite 290]
15.2.1 - 10.2.1 Discriminating Variables [Seite 290]
15.2.2 - 10.2.2 Dependent Variable [Seite 290]
15.2.3 - 10.2.3 Discriminant Function [Seite 290]
15.2.4 - 10.2.4 Classification Matrix [Seite 291]
15.2.5 - 10.2.5 Stepwise Method of Discriminant Analysis [Seite 291]
15.2.6 - 10.2.6 Power of Discriminating Variable [Seite 291]
15.2.7 - 10.2.7 Canonical Correlation [Seite 291]
15.2.8 - 10.2.8 Wilks' Lambda [Seite 292]
15.3 - 10.3 ASSUMPTIONS IN DISCRIMINANT ANALYSIS [Seite 292]
15.4 - 10.4 WHY TO USE DISCRIMINANT ANALYSIS [Seite 292]
15.5 - 10.5 STEPS IN DISCRIMINANT ANALYSIS [Seite 293]
15.6 - 10.6 APPLICATION OF DISCRIMINANT FUNCTION ANALYSIS [Seite 294]
15.7 - 10.7 DISCRIMINANT ANALYSIS USING SPSS [Seite 296]
15.7.1 - 10.7.1 Computation in Discriminant Analysis [Seite 296]
15.7.2 - 10.7.2 Interpretation of Findings [Seite 301]
15.8 - 10.8 SUMMARY OF THE SPSS COMMANDS FOR DISCRIMINANT ANALYSIS [Seite 306]
15.9 - 10.9 EXERCISE [Seite 306]
15.9.1 - 10.9.1 Short Answer Questions [Seite 306]
15.9.2 - 10.9.2 Multiple Choice Questions [Seite 307]
15.9.3 - 10.9.3 Assignment [Seite 308]
15.10 - 10.10 CASE STUDY ON DISCRIMINANT ANALYSIS [Seite 310]
16 - Chapter 11 Logistic Regression for Developing Logit Model in Sport [Seite 315]
16.1 - 11.1 INTRODUCTION [Seite 315]
16.2 - 11.2 UNDERSTANDING LOGISTIC REGRESSION [Seite 316]
16.3 - 11.3 APPLICATION OF LOGISTIC REGRESSION IN SPORTS RESEARCH [Seite 317]
16.4 - 11.4 ASSUMPTIONS IN LOGISTIC REGRESSION [Seite 319]
16.5 - 11.5 STEPS IN DEVELOPING LOGISTIC MODEL [Seite 319]
16.6 - 11.6 LOGISTIC ANALYSIS USING SPSS [Seite 319]
16.6.1 - 11.6.1 Block 0 [Seite 321]
16.6.2 - 11.6.2 Block 1 [Seite 321]
16.6.3 - 11.6.3 Computation in Logistic Regression with SPSS [Seite 321]
16.7 - 11.7 INTERPRETATION OF FINDINGS [Seite 326]
16.7.1 - 11.7.1 Case Processing and Coding Summary [Seite 326]
16.7.2 - 11.7.2 Analyzing Logistic models [Seite 327]
16.8 - 11.8 SUMMARY OF THE SPSS COMMANDS FOR LOGISTIC REGRESSION [Seite 332]
16.9 - 11.9 EXERCISE [Seite 332]
16.9.1 - 11.9.1 Short Answer Questions [Seite 332]
16.9.2 - 11.9.2 Multiple Choice Questions [Seite 333]
16.9.3 - 11.9.3 Assignment [Seite 334]
16.10 - 11.10 CASE STUDY ON LOGISTIC REGRESSION [Seite 335]
17 - Chapter 12 Application of Factor Analysis [Seite 341]
17.1 - 12.1 INTRODUCTION [Seite 341]
17.2 - 12.2 Terminologies Used in Factor Analysis [Seite 342]
17.2.1 - 12.2.1 Principal Component Analysis [Seite 342]
17.2.2 - 12.2.2 Eigenvalue [Seite 342]
17.2.3 - 12.2.3 Kaiser Criterion [Seite 343]
17.2.4 - 12.2.4 The Scree Test [Seite 343]
17.2.5 - 12.2.5 Communality [Seite 343]
17.2.6 - 12.2.6 Factor Loading [Seite 344]
17.2.7 - 12.2.7 Varimax Rotation [Seite 344]
17.3 - 12.3 Assumptions in Factor Analysis [Seite 344]
17.4 - 12.4 STEPS IN FACTOR ANALYSIS [Seite 345]
17.5 - 12.5 APPLICATION OF FACTOR ANALYSIS [Seite 345]
17.6 - 12.6 Factor Analysis with SPSS [Seite 346]
17.6.1 - 12.6.1 Computation in Factor Analysis Using SPSS [Seite 348]
17.7 - 12.7 SUMMARY OF THE SPSS COMMANDS FOR FACTOR ANALYSIS [Seite 358]
17.8 - 12.8 Exercise [Seite 358]
17.8.1 - 12.8.1 Short Answer Questions [Seite 358]
17.8.2 - 12.8.2 Multiple Choice Questions [Seite 359]
17.8.3 - 12.8.3 Assignment [Seite 360]
17.9 - 12.9 Case Study on Factor Analysis [Seite 361]
18 - Appendix [Seite 368]
19 - Bibliography [Seite 382]
20 - Index [Seite 390]
21 - EULA [Seite 394]

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