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Unit information: Conducting a Research Project using Secondary Data in 2022/23

Please note: you are viewing unit and programme information for a past academic year. Please see the current academic year for up to date information.

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
Units you must take before you take this one (pre-requisite units)

SOCI20069 `Principles of Quantitative Social Science' or GEOG25010 `Spatial Modelling 2'

Units you must take alongside this one (co-requisite units)

None

Units you may not take alongside this one

N/A

School/department School of Sociology, Politics and International Studies
Faculty Faculty of Social Sciences and Law

Unit Information

This unit will teach students how to do a research project using quantitative data. The skills taught in the unit are relevant for academic research (such as writing a dissertation), and for work in fields in which data analysis is required. Topics include forming a research question, locating relevant data, employing statistical methods to analyse the data, and writing up the results. Practical classes will show how quantitative data can be analysed using software.

A basic introduction to quantitative methods (such as SOCI20069) is a prerequisite, therefore all students interested in this unit should also enrol in that unit. A-levels training in maths or statistics is not necessary. Students should inquire with the unit owner, listed above, if they are unsure about enrolling in this unit.

This unit is open to all students, and is a requirement for students enrolled in the “with quantitative research methods” degree programmes in politics, sociology, social policy, and childhood studies.

Your learning on this unit

On completing this unit students will know:

  • how to form a viable research question that can be answered using quantitative data;
  • where sources of quantitative data may be obtained from;
  • how to analyse data using quantitative methods, and how to present the findings
  • why it is important to give consideration to potential sources of bias and uncertainty in the data;
  • some of the statistical issues that arise from analysing large data sets.

How you will learn

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

How you will be assessed

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).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.

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