| Unit name | Conducting a Research Project using Secondary Data |
|---|---|
| Unit code | POLI20001 |
| Credit points | 20 |
| Level of study | I/5 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Dr. Mircea Popa |
| Open unit status | Not open |
| Pre-requisites |
SOCI20069 `Principles of Quantitative Social Science' or GEOG25010 `Spatial Modelling 2' |
| Co-requisites |
None |
| School/department | School of Sociology, Politics and International Studies |
| Faculty | Faculty of Social Sciences and Law |
This unit forms part of the shared interdisciplinary pathway for students taking any of the '... with quantitative research methods' degree programmes in childhood studies, geography, politics, social policy and sociology. It may be open to other students within those Schools. The purpose of the unit is to prepare students to undertake a third-year dissertation using secondary data. It will focus on sources of secondary data, how to make sense of them, how to form a viable research question grounded in an appropriate academic research literature, and ways to answer the question quantitatively. It will address issues of research design, including sample size and the issue of statistical power, and also consider some of the underlying philosophical tenets of quantitative approaches, their strengths and weaknesses, how they compare with qualitative approaches, and when to decide when a quantitative or qualitative approach might be better. Practical classes will show how secondary data can be accessed and analysed in meaningful ways.
On completing this unit students will know:
how to form a viable research question that can be answered using secondary data;
where sources of secondary data may be obtained from;
how to analyse and present secondary data using methods of quantitative analysis;
why it is important to give consideration to potential sources of bias and uncertainty in the data; and
some of the statistical issues that arise from analysing large data sets.
The unit will be taught through blended learning methods, including a mix of synchronous and asynchronous teaching activities
1,000 word essay (25%) 3,000 word essay (75%)
The assessments will evaluate all of the intended learning outcomes listed above.
Smith E, 2008, Using Secondary Data in Educational and Social Research. Maidenhood: McGraw-Hill
Thomas G, 2013, How to Do Your Research Project: A Guide for Students in Education and Applied Social Sciences. London: Sage.
Vartanian TP, 2010, Secondary Data Analysis. New York: Oxford University Press.
White P, 2008, Developing Research Questions: A Guide for Social Scientists. Basingstoke: Palgrave Macmillan
