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 Algemene naslagwerken, atlassen, jaarboeken, almanakken en woordenboeken Naslagwerken algemeen
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`Presents statistical techniques to help readers formulate research problems as well as interpret data with the use of different parametric and nonparametric statistical tests`-

Taal / Language : English

Inhoudsopgave:

Preface

Chapter One: Introduction to Data and SPSS Operations

1.1 Introduction

1.2 Types of Data

1.3 Important Definitions

1.4 Data Cleaning

1.5 Detection of Errors

1.6 How to Start the SPSS

1.7 Exercise

Chapter Two: Descriptive Profile

2.1 Introduction

2.2 Explanation of Various Descriptive Statistics

2.3 Application of Descriptive Statistics

2.4 Computation of Descriptive Statistics Using SPSS

2.5 Interpretation of the Results

2.6 Developing Profile Chart

2.7 Summary of SPSS Commands

2.8 Exercise

2.9 Case Study

Chapter Three: Correlation Coefficient and Partial Correlation

3.1 Introduction

3.2 Correlation Matrix and Partial Correlation

3.3 Application of Correlation Matrix and Partial Correlation

3.4 Correlation Matrix with SPSS

3.5 Partial Correlation with SPSS

3.6 Summary of the SPSS Commands

3.7 Exercise

3.8 Case Study

Chapter Four: Comparing Means

4.1 Introduction

4.2 One-Sample t-test

4.3 Two-Sample t-test for Unrelated Groups

4.4 Paired t-test for Related Groups

4.5 One Sample t test with SPSS

4.6 Two-Sample t-test for Independent Groups with SPSS

4.7 Paired t-test for Related Groups with SPSS

4.8 Summary of SPSS Commands for t-tests

4.9 Exercise

4.10 Case Study

Chapter Five: Independent Measures ANOVA

5.1 Introduction

5.2 One-Way Analysis of Variance

5.3 One-Way ANOVA with SPSS(Equal Sample Size)

5.4 One-way ANOVA with SPSS (unequal Sample Size)

5.5 Two-Way Analysis of Variance

5.6 Two-Way ANOVA using SPSS

5.7 Summary of the SPSS Commands

5.8 Exercise

5.9 Case Study I: One Way ANOVA Design

5.10 Case Study II: Factorial Design with Two-way ANOVA

Chapter Six: Repeated Measures ANOVA

6.1 Introduction

6.2 One-way Repeated Measures ANOVA

6.3 One-Way Repeated Measures ANOVA using SPSS

6.4 Two-Way Repeated Measures ANOVA

6.5 Two-Way Repeated Measures ANOVA with SPSS

6.5.1 Computation in Two-Way Repeated Measures ANOVA

6.6 Summary of the SPSS commands for One-way Repeated Measures ANOVA

6.7 Summary of the SPSS commands for Two-way Repeated Measures ANOVA

6.8 Exercise

6.9 Case Study

Chapter Seven: Analysis of Covariance

7.1 Introduction

7.2 Conceptual Framework of Analysis of Covariance

7.3 Application of ANCOVA

7.4 Analysis of Covariance with SPSS

7.5 Summary of the SPSS Commands

7.6 Exercise

7.7 Case Study

Chapter Eight: Non Parametric Tests in Sports

8.1 Introduction

8.2 Chi-square Test

8.2.1 Testing Goodness of Fit

8.3 Goodness of Fit with SPSS

8.4 Testing Association with SPSS

8.5 Mann-Whitney U test: Comparing two independent samples

8.6 Wilcoxon Signed Rank Test: For comparing two related groups

8.7 Kruskal-Wallis Test

8.8 Friedman Test

8.9 Summary of the SPSS Commands

8.10 Exercise

8.11 Case Study

Chapter Nine: Regression Analysis and Multiple Correlations

9.1 Introduction

9.2 Understanding Regression Equation

9.3 Application of Regression Analysis

9.4 Multiple Regression Analysis with SPSS

9.5 Summary of SPSS Commands for Regression Analysis

9.6 Exercise

9.7 Case Study

Chapter Ten: Application of Discriminant Function Analysis

10.1 Introduction

10.2 Basics of Discriminant Function Analysis

10.3 Assumptions in Discriminant Analysis

10.4 Why to use Discriminant Analysis

10.5 Steps in Discriminant Analysis

10.6 Application of Discriminant Function Analysis

10.7 Discriminant Analysis using SPSS

10.8 Summary of the SPSS Commands for Discriminant Analysis

10.9 Exercise

10.10 Case Study

Chapter 11: Logistic Regression for Developing Logit model in Sport

11.1 Introduction

11.2 Understanding Logistic Regression

11.3 Application of Logistic Regression in Sports Research

11.4 Assumptions in Logistic Regression

11.5 Steps in Developing Logistic Model

11.6 Logistic Analysis using SPSS

11.7 Interpretation of Outputs

11.8 Exercise

11.9 Case Study

Chapter Twelve: Application of Factor Analysis

12.1 Introduction

12.2 Terminologies used in Factor Analysis

12.3 Assumptions in Factor Analysis

12.4 Steps in Factor Analysis

12.5 Application of Factor Analysis

12.6 Factor Analysis with SPSS

12.7 Summary of the SPSS Commands for Factor Analysis

Appendix

A.1: Table for normal distribution

A.2: Table for t-value

A.3: Table for F-value at .05 significance level

A.4: Table for F-value at .01 significance level

A.5: Table for Chi-Square

A.6: Table for Correlation Coefficient required for significance

A.7: Critical Values of Studentized Range Distribution (q) for Familywise ALPHA = .05

References

Index

Extra informatie:
Hardback
392 pagina's
Januari 2016
657 gram
243 x 165 x 25 mm
John Wiley and Sons Ltd
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 Levertijd: 5 tot 11 werkdagen

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