The course data analysis in research has been designed to link the various aspects of research together. The students will be oriented to applied statistics, applied research, made familiar with terms and concepts of psychometrics. This course helps students understand the practical aspects of conceptualizing research, coining the conceptual framework, collecting data, and conducting appropriate analysis to find meaningful results. The main objectives of this course are to:  understand how different aspects of research come together and to understand and take appropriate statistical procedures, interpret basic statistics tables, and the salient features of a research report.

Contents

1. Introduction to the course outline and discussion on course content and schedule of sessionals. 
2. Data analysis in psychological research  
3. Introduction to the software’s (endnote)  
4. Qualitative data analysis (strategies)
5. Orientation to N-vivo
6. Qualitative data analysis (strategies)
7. Measurement scales
8. A detailed orientation to SPSS environment 
9. Writing, formatting and handling data  
10. Data screening  
11. Data manipulation 
12. Graphical representation of data  
13. Assumption Testing 
14. Data exploration: Descriptive statistics, Reliability testing
15. Hypothesis testing: One sample t-test, Independent sample t-test, Paired sample t-test
16. Analysis of Variance (ANOVA) 
17. Correlation (types, uses, and reporting)  
18. Linear Regression (Simple and Multiple)  
19. Mediation and Moderation analysis 
20. Reporting results according to APA 6th Edition  

 Suggested Books & Reading Material

1. Hox, J. J., Moerbeek, M., van de Schoot, R. (2018). Multilevel Analysis. New York: Routledge.
2. Adjerid, I., & Kelley, K. (2018). Big data in psychology: A framework for research advancement. American Psychologist, 73(7), 899-917. http://dx.doi.org/10.1037/amp0000190
3. Coolican, H., Coolican, H. (2014). Research Methods and Statistics in Psychology. London: Psychology Press.
4. Craig A. Mertler (2015). Introduction to educational research. Sage Publications.Field, E. (2009).  Discovering Statistics Using SPSS  (3rd   Ed.). London: Sage Publications.
5. Clayton, K. N. (1984).  An Introduction to Statistics for Psychology and Education. Columbus: Chalrles, E. Merrill Publishing Co.
6. Mertens, D.M. (1996). Research Methods in Education and Psychology. London: Sage Publications.
7. Shaugnessy, J., Zechmeister, E., & Zechmeister, J. (2003).  Research Methods in Psychology. NewYork. Mc Graw Hill.

Internet Sources

 http://www.statsoft.com/

http://hsc.uwe.ac.uk/dataanalysis/

http://www.ats.ucla.edu/stat/spss/

http://quantpsy.org/calc.htm