PSYC2020 Empirical Studies II
The module is to learn and apply practical and technical skills in the context of real research, for example, * relating designs to research questions, * processing and analysing "raw" data according to given research question and design, * interpreting and reporting findings from quantitative or qualitative analyses, and * following academic conventions for reports and data presentations.
Aims and Objectives
To develop research-related skills, which include relating research design to data analyses, using appropriate software applications to process, analyse, and present data (e.g., Excel, SPSS), writing laboratory reports following academic conventions, setting up online research, and working in groups
Having successfully completed this module you will be able to:
- Carry out empirical research under supervision
- Communicate research methods to enable replication
- Handle and process data using appropriate software (e.g., Excel, SPSS)
- Perform quantitative and qualitative analyses as required
- Interpret the outcomes of analyses in appropriate context
- Communicate findings according to the academic convention expected in psychology
- Use tables and figures to facilitate communication
Unit A: Questionnaire related research • use Excel in an advanced level • understand how to code data and handle data files • evaluate psychometric properties of questionnaires • conduct, interpret, and report correlation related statistics including multiple regression • develop report-writing skills Unit B: iSurvey • learn to design iSurvey (our online survey facilities) • learn to download and use iSurvey data Unit C: Multi-factor experiment • learn about particular research domains • learn about how hypotheses are derived from theories in those domains • apply statistical and methodological knowledge to testing concrete hypotheses • learn how to run an experiment • understand the rationale for and design of a complex experiment (e.g., factorial design) • understand and assess measurement reliability • understand how to code data and handle data files • understand how to analyze the results of a complex experiment • develop report-writing skills Unit D: Qualitative research • design, conduct, and analyze a piece of qualitative research, using method of content analysis • conduct risk assessment • team work
Learning and Teaching
Teaching and learning methods
Main teaching and learning methods are eTutorials and Q&A workshops. To minimise the chance of differential delivery of a unit for different groups, e-Tutorials (PowerPoint Presentations) are used to provide standardised: * explanations for background information and tasks, * instructions for tasks and requirements, and * demonstrations with annotated screenshots. Q&A workshops are to address queries. Students are strongly encouraged to engage in peer tutoring during and outside workshops to consolidate learning, develop communication skills and social support.
|Total study time||150|
Resources & Reading list
Laboratory space and equipment required.
|A group codebook and a lab report||31%|
|A lab report||31%|
|A lab report||31%|
|CAA Exam ( words)||2%|
Repeat type: Internal & External