Teaching Responsibility
LJMU Schools involved in Delivery:
LJMU Partner Taught
Learning Methods
Online
Module Offerings
7505PSYSCI-APR-PAR
7505PSYSCI-JAN-PAR
7505PSYSCI-SEP-PAR
Aims
This module aims to develop students’ knowledge of the variety and limitations of methodologies used in psychology as well as their practical skills in relation to data coding, analysis, interpretation and presentation of analysis in different formats. The emphasis of the module will be on: 1) developing students understanding of the appropriate management of both qualitative and quantitative data (e.g. data cleaning and checking, classification of themes, coding methods, treatment of missing data etc.); 2) developing students ability to analyse and interpret qualitative data (e.g. using thematic analysis) and 3) developing students ability to conduct appropriate statistical tests and interpret the results obtained from complex, multivariate analyses within the context of the limitations of statistical methods and research design.
Learning Outcomes
1.
Critically evaluate a range of research design methodologies relevant to psychology and their implications for measurement, statistical analysis and interpretation
2.
Demonstrate appropriate use and interpretation of qualitative analytic techniques in psychological research
3.
Demonstrate appropriate use and interpretation of statistical analysis techniques in psychological research
4.
Communicate outcome of research analysis, in a clear and concise manner, outlining the strengths and limitations of the method chosen.
Module Content
Outline Syllabus:Philosophical assumptions of a variety of research methods and designs including critique of both qualitative and quantitative research methodologies.
Reliability and validity
Introduction to and application of qualitative analysis methods, e.g. thematic analysis
Refresh basic knowledge of descriptive and inferential statistics, effect size, and probability based hypothesis testing.
Overview of and training in quantitative computer packages and introduction to qualitative software packages
Multivariate statistical analysis for example: Regression, mediation and moderation analysis, analysis of variance, logistic regression.
Additional Information:The module aims to equip students with the major research skills and knowledge of methodology and analysis necessary to conduct psychology research. The module is designed to develop to a professional level, student's existing knowledge of, and skills in data coding, analysis, interpretation and presentation of analysis in different formats. The emphasis of the module will be on: 1) developing students understanding of both quantitative and qualitative methods and their application; 2) the appropriate management of both qualitative and quantitative data (e.g. classification of themes, coding methods, treatment of missing data etc.); 3) developing students ability to conduct appropriate statistical tests and interpret the results obtained from complex, multivariate analyses within the context of the limitations of statistical methods and research design; and 4) providing students with the skills to present data analyses in report format commensurate with publication guidelines for the field of study .