Course Credit: 2
CPSY 702.1 Quantitative Research Design
(2 Credits, 50 Marks)
Course objectives
This course is designed to enable the students with advanced knowledge and skills in the research field. They will be oriented with contemporary policies, practices, and advancement in quantitative research around mental health.
Specific Objectives
This course aims to help the students learn
- and be reoriented about the general and specific skills and knowledge of quantitative research
- recent development in theory, policy and practice of psychometry.
- research designs associated with creating impact in larger community and mental health service development and delivery.
- knowledge around management of data from preparation, collection, analysis and interpretation.
- advanced data analysis techniques such as analysis of multivariate data, structural equation modelling, panel data analyses.
- Conceptualize the use of large data sets and secondary data in research
- Understand the use of published findings in generating concrete knowledge
Instructional Strategies
Participatory Lecture (30)
Group Discussion/ Problem solving (infused into the lecture classes)
Assignment (1-2)
Hands on training
Assessment Methods
Final Examination - 50 marks (examination after completion of teaching period)
Learning Outcomes
After completion of this course, students will be able to
- recognize and recall the general and specific skills and knowledge of quantitative research
- identify recent development in theory, policy and practice of psychometry.
- Select research design associated with creating impact in larger community and mental health service development and delivery.
- Describe the knowledge around management of data from preparation, collection, analysis and interpretation
- Implement the advanced data analysis techniques such as analysis of multivariate data, structural equation modelling, panel data analyses
- use of large data sets and secondary data in research
- use of published findings in generating concrete knowledge
Course Content and Class Distribution
|
Content
|
Class*
|
Method**
|
1
|
Review of general and specific research skills and knowledge previously acquired
|
8
|
PL
|
2
|
Recent development and concerns in psychometry
|
3
|
PL
|
3
|
Creating impact with research
Randomized Controlled Trial
Action research
Implementation science
Research in service planning
Evaluation research
|
(13)
3
2
4
2
2
|
PL, Assignment
|
4
|
Working with data
Perquisites of quality data (accurate and valid data, training, representativeness, sample size estimation)
Preparing data
Analysing data
Interpreting data
|
4
|
PL
|
5
|
Advanced analysis techniques
Multivariate analysis,
Structural equation modelling,
Analysing panel data
|
9
3
3
3
|
PL
PL
PL
PL
|
6
|
Making sense of data and research findings
Using MIS and other dataset in research
Review research
Meta-analysis
|
5
|
PL, AS
|
|
Total
|
42
|
|
Note: *Per class 90 minutes; **PL= Participatory lecture, **AS= Assignment
References
Andy Field (2013) Discovering Statistics using IBM SPSS Statistics (4th Edition). Sage
Comer, J. S., & Kendall, P. C. (Eds.). (2013). The Oxford Handbook of Research Strategies for Clinical Psychology. Oxford University Press.
Cumming, G. (2012). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis. Routledge
Joseph F. Hair Jr, William C. Black, Barry J. Babin, Rolph E. Anderson (2010) Multivariate Data Analysis (7th Edition). Pearson
Millsap, R. E., &Maydeu-Olivares, A. (Eds.). (2009). The SAGE handbook of quantitative methods in psychology. Sage
Robert Ho (2013). Handbook of Univariate and Multivariate Data Analysis with IBM SPSS. Chapman and Hall/CRC.
Rust, John, and Susan Golombok (2014). Modern psychometrics: The science of psychological assessment (3rd edition). Routledge
Frees, E. W. (2004). Longitudinal and panel data: analysis and applications in the social sciences. Cambridge University Press.
Byrne, B. M. (2010) Structural equation modelling with AMOS.2nd edition
Forman, S. G. (2015). Implementation of mental health programs in schools: A change agent's guide. American Psychological Association.