Data Analysis with SPSS for Survey-based Research

✍ Scribed by Saiyidi Mat Roni, Hadrian Geri Djajadikerta

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 273
• Category: Library

✦ Synopsis

This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS. It follows commonly used logical steps in data analysis design for research. The book features SPSS screenshots to assist rapid acquisition of the techniques required to process their research data.

Rather than using a conventional writing style to discuss fundamentals of statistics, this book focuses directly on the technical aspects of using SPSS to analyse data. This approach allows researchers and research students to spend more time on interpretations and discussions of SPSS outputs, rather than on the mundane task of actually processing their data.

✦ Table of Contents

Preface
Acknowledgement
Preliminary Data Analysis Checklist
Contents
About the Authors
Chapter 1: Research Instrument Design and Sample
1.1 Survey
1.1.1 Working with Directly Observed Variables
1.1.2 Designing Questions for Latent Variables
1.2 Sample Size
References
Chapter 2: SPSS Basics
2.1 Data and Variable Views
2.2 Output Window
2.3 SPSS Syntax
Chapter 3: Preliminary Data Analysis: An Analysis Before the Analysis
3.1 Cleaning up Your Data: Monotone
3.2 Polishing Your Data: Missing Values and Outliers
3.2.1 Identifying and Recoding Missing Values
3.3 Missing Values Analysis (MVA)
3.3.1 Multiple Imputation (MI)
3.3.2 Expected Maximisation (EM)
3.3.3 Identifying and Treating Outliers
3.4 Normal Distribution
3.5 Data Transformation
References
Chapter 4: Factor Analysis: Combining Related Question-Items into Latent Variables
References
Chapter 5: Assess the Quality of Your Instrument
5.1 Reliability
5.2 Validity
References
Chapter 6: Latent Variable
6.1 Addressing Biases
6.1.1 Non-Response Bias
6.1.2 Common Method Bias
References
Chapter 7: Test of Differences Among Groups
7.1 t-Test: Testing Differences Between Two Groups
7.1.1 Independent Samples t-Test
7.1.2 Paired Samples t-Test
7.2 ANOVA: Testing More than Two Groups
7.3 ANCOVA: Testing Differences and Controlling for Covariate
References
Chapter 8: Test of Correlations
8.1 Pearson Correlation
8.2 Pearson Correlation with Bootstrap
References
Chapter 9: Regression
9.1 Simple Regression
9.1.1 Regression with Bootstrap
9.1.2 Quantile Regression
9.2 Multiple Regression
9.3 Hierarchical Multiple Regression
References
Chapter 10: Non-Parametric Tests
10.1 Mann-Whitney U
10.2 Kruskal-Wallis
10.3 Jonckheere-Terpstra
10.4 Chi-Square
10.5 Wilcoxon´s Sign Rank
10.6 Spearman Rho and Kendall Tau Correlation
References
Bibliography
Index