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Unit information: Conducting a Research Project using secondary data in 2021/22

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

Description

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.

Intended learning outcomes

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.

Teaching details

The unit will be taught through blended learning methods, including a mix of synchronous and asynchronous teaching activities

Assessment Details

1,000 word essay (25%) 3,000 word essay (75%)

The assessments will evaluate all of the intended learning outcomes listed above.

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. POLI20001).

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