Quantitative Research Methods 2 (DL)

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

• Apply advanced statistical methods to the analysis of datasets from the Social Sciences, including linear regression analysis and logistic regression analysis.
• Demonstrate knowledge and understanding of the fundamental principles of regression analysis, sampling, survey design and questionnaire design.
• Use written communication skills developed through the critical interpretation and discussion of statistical results using relevant academic literature
• Use statistical software (SPSS) effectively to conduct linear and logistic regression analysis.

The module will include online lectures and practice exercises on the following topics: survey design and data collection, simple and multiple linear regression; binary logistic regression; multinomial logistic regression; writing up quantitative research.

The teaching methods involve lectures, exercises, and tutorials. Learning activities include studying by listening to lectures and attending online tutorials; dialogue on the Discussion Board on Blackboard; practice exercises; and independent study. Students are expected to carry out some reading in advance of each session and also to complete the practice exercises after each session. This helps reaffirm student learning and acts as a self-check as to the level of understanding reached.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.