Applied Research Methods: Statistical Analysis of Comparisons & Group Differences

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

• Identify ANOVA designs from description of experiments
• Interpret statistical interactions
• Design effective research studies using between groups and repeated measures designs
• Use standard software packages for data analysis (e.g. SPSS)
• Determine the appropriate data analytic technique to use with different research designs
• Critique published reports that employ analysis of variance in psychology
• Analyse quantitative data in SPSS appropriately using: Simple, Factorial, Repeated measures and Mixed Model ANOVAs, ANCOVA, or their non-parametric alternative
• Understand how repeated measures are incorporated in ANOVA

• T-tests, One way ANOVA and non-parametric equivalents
• Factorial ANOVA
• Repeated measures ANOVA and mixed model ANOVA
• ANCOVA
• MANOVA

Teaching and learning methods

Each three-hour weekly session is a combination of lecture and hands-on practical application.

Formal lecture is kept to a minimum, with an emphasis on developing a workshop atmosphere through the creative use of a variety of practical exercises. The practical exercises include guided small group exercises (e.g. designing experiments to test certain hypotheses, article critiques (e.g., to discuss suitability of data analysis), statistical analysis and interpretation of results based on existing datasets (e.g., various forms of ANOVA). Staff provide verbal formative feedback during these activities to help you gauge and develop your knowledge and understanding.

A variety of e-learning resources relevant to the course are available on Blackboard. These include recordings of lectures, copies of in-class assignments and exercises, datasets for analysis, online tutorials, a research methods and statistics glossary, and links to online statistics and research methods textbooks.

Resources & Reading list

Textbooks

Maxwell and Delaney (2018). Designing experiments and analysing data. Routledge.

Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics. London: Sage.

Cumming and Calin-Jageman (2017). Introduction to the new statistics: estimation open science and beyond.. Routledge.

Howell (2012). Statistical Methods for Psychology, International Edition. Wadsworth.

American Psychological Association (2020). Publication Manual of the American Psychological Association.

Judd, McClelland, and Carey (2017). Data Analysis: A model comparison approach to ANOVA. Routledge.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat Information

Repeat type: Internal & External