PE7025 - Psychological Data Analysis

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What will I learn on this module?

This module provides you with an introduction to quantitative and qualitative data analysis. The main focus is on the analysis of quantitative data, which arise from measurement. Quantitative analysis, also known as statistics, makes up about 75% of the module. In this part you will gain a good understanding of fundamental concepts and principles in statistics. These include levels of measurement; standardised effect size measures; sample distributions, standard errors and confidence intervals; and statistical significance testing and the problems it causes. This basic understanding will allow you to independently read advanced literature on statistics to further your own understanding. In addition to basic principles, you will also learn about a range of frequently used techniques for data analysis. For each of them you will learn to identify when it is suitable to use; how to run the analysis; how to report its results to experts and lay people; and how to use these result to inform your critical judgement about your own research and that of others. The techniques you will learn about include the estimation of standardised effect sizes; meta-analysis; ANOVA and ANCOVA; multiple regression; and chi-squared to analyse proportions. Finally, you will learn about the limitations of statistical inference in some important real-world settings.
In the qualitative data analysis part (about 25% of the module) you will learn about thematic analysis to analyse verbal data, from interviews, panel discussions and similar.

How will I learn on this module?

The module is delivered entirely online via our electronic learning platform (elp). You will interact with a range of materials on the module site. The module home page provides you with quick access to detailed information about the module in an interactive, easily accessible format. Here you will acquire basic knowledge about syllabus topics, critically apply this new knowledge in group work and discussions, and gain hands-on experience in data analysis. You will be provided with regular exercises to do on your own time to further develop your understanding and skills. Independent reading on the module topics is highly recommended. Online discussion groups encourage all students to form an interactive learning community.

How will I be supported academically on this module?

You will be an autonomous, self-motivated learner within a supportive distance learning environment. You will be introduced to the module by the module tutor in an introductory video. The online module sessions and interactive tasks form the cornerstone for supporting you during your study. Academic support is available from the teaching team and each session includes a link to enable you to email a question directly to the tutor from within the session. Responses will be fed back either directly or via the module discussion board. In advance of each assessment a video presentation is uploaded to support you in your preparation for this session. This is followed by an online live question and answer session prior to submission of your assessed work. Focused academic support coupled with timely formative and summative feedback should enable you to meet your full academic potential within this module

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

What will I be expected to achieve?

Knowledge & Understanding:
• MKU1: By the end of the module you will understand fundamental concepts and principles in quantitative and qualitative data analysis.
Intellectual / Professional skills & abilities:
• MIPSA1: By the end of the module you will be able to independently read advanced literature on quantitative and qualitative methods to further your own understanding.
• MIPSA2: By the end of the module you will be able to appropriately apply the techniques for data analysis outlined in the syllabus, report their results in an adequate way, and use these results to critically evaluate your own research and that of others

How will I be assessed?

You will be regularly provided with exercises to do on your own. As these come with worked solutions, you can use these exercises for formative assessment.
The first assessment is a quantitative assignment. This contributes 50% towards your module mark. The assignment addresses fundamental concepts and principles in statistics. (MKU1,MIPSA1)
With your mark, you will receive detailed written feedback about the strengths and ways to improve your paper.
The second assessment is qualitative assignment. This contributes 50% towards your module mark. The assignment assesses the analysis and reporting of qualitative data. You will be given a transcript to analyse and draw appropriate conclusions. (MKU1, MIPSA2)
With your mark, you will receive detailed written feedback about the strengths and ways to improve your solutions.

Pre-requisite(s)

None

Co-requisite(s)

None

Module abstract

Psychology is an empirical science, i.e. it uses actual data to shape and test ideas about behaviour and the mind. Relevant data typically derive from measurements and are then in the form of numbers; sometimes our data are verbal instead, e.g. when we interview someone. In either case, it is not trivial to make a connection between our data and the ideas that inspired our research. In this module you will learn how to do that. These skills are crucial in order to develop your own research and to fully understand and evaluate the research of others. As this module is mostly about statistics, many students approach it with trepidation. However, students enjoy this module (typically against their expectations) because they get to know exciting ideas and insights, and the hands-on training provides them with a range of data-analysis skills that are important in research and beyond.

Course info

Credits 20

Level of Study Postgraduate

Mode of Study 2 years part time
2 other options available

Department Psychology

Location Northumberland Building, Newcastle City Campus

City Newcastle

Start Academic Year 2020/21: October 20, January 21, April 21, July 21

Fee Information

Module Information

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