About the Book

Researches are being conducted in different subjects. During research qualitative and quantitative data are collected. The collected data have to be analysed for arriving at the finding. Quantitative data are analysed with the help of statistical techniques. It can be analysed manually as well as with the help of software. Different available software are: Excel, SPSS, Stata, SAS, R, MATLAB, JMP, Python, etc. Majority of researchers use SPSS for analyzing the data. There are researchers who find it difficult to use SPSS. To facilitate the use of SPSS, “Data Analysis Using SPSS” manual has been developed. It is written in simple language and explains step by step use of SPSS. It has been tried out on large number of researchers all over India. Hope researchers as well as teachers from different fields will find it useful in analyzing the quantitative data and the quality of quantitative research may be improved.   

About Author

Prof. Dayanand Sansanwal retired as Head and Dean, Department of Education, Devi Ahliya University, Indore in August 2008. Besides teaching in Devi Ahliya University, he taught Business Research Methods and Quantitative Techniques at IIM, Indore and IIFT, New Delhi. After retirement, he has conducted about 190 Workshops and 1400 webinar lectures on Research Methodology, Statistics and Use of SPSS. His original contributions include Value Discussion Model, Jerk Technology, Educational Clinics, Educational Pathology Centre, and Multiple Discriminant Type Item. 

Considering the original contribution of Prof. Sansanwal, he was given best Teacher Award by All India Association of Teacher Educators and also by Research India Foundation, Lifetime Achievement Award for Continuous Excellence in Teaching, Research, and Administration (2022). Besides these, he has published 450 papers in Indian as well as Foreign Journals of repute. Last but not the least he is still very active and dedicated to the improvement of Quality of Research in India.

Contents

Preface

1. Introduction
2. Starting SPSS
3. Preparation for Entering Data
4. Data Entering
5. Data Editing
6. Inserting another variable between two variables
7. Use of Edit
8. Transferring Data from EXCEL sheet to SPSS
9. Using Descriptive Statistics
10. Checking Normal Distribution of Data
11. Use of One Sample t-Test
12. Independent Samples t-Test or t-Test
13. Paired Samples t-Test or Correlated t-Test
14. One Way Analysis of Variance (ANOVA)
15. Two Way ANOVA
16. Three Way ANOVA
17. One Way ANCOVA
18. Two Way ANCOVA
19. Three Way ANCOVA
20. Three Way ANCOVA
21. Correlation
22. Kendall’s Tau – b 
23. Spearman Rho
24. Partial Correlation
25. Multiple Correlation
26. Regression Analysis
27. Factor Analysis
28. Chi-Square Goodness of Fit Test
29. Mann-Whitney U-Test
30. Kruskal-Wallis H Test
31. Median Test
32. Wilcoxon Singed Rank Test
33. Sign Test
34. McNemar Test
35. Friedman Analysis of Variance by Ranks
36. Kendall’s Coefficient of Concordance (W) or Kendall’s W
37. Cochran’s Q
38. Test – Retest Method of Reliability
39. Split-Half Method of Reliability
40. Cronback’s Alpha Method of Reliability
41. Parallel Form or Alternative Form or Equivalent Form  
42. Contingency Coefficient
43. Phi Coefficient     
44. Cramer’s V
45. Kendall’s Tau- c
46. Cochran’s and Mantel-Haenszel Statistics

Additional Info.