RESM6010 Applied Research Methods: Statistical Analysis of Comparisons & Group Differences

Module Overview

Aims and Objectives

Learning Outcomes

Having successfully completed this module you will be able to:

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

Syllabus

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

Learning and Teaching

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.

Type	Hours
Wider reading or practice	15
Supervised time in studio/workshop	5
Lecture	10
Completion of assessment task	60
Preparation for scheduled sessions	10
Total study time	100

Resources & Reading list

Howitt and Cramer (2013). Introduction to Statistics in Psychology.

Pituch and Stevens (2015). Applied Multivariate Statistics for the Social Sciences: Analyses with SAS and IBM's SPSS.

Cumming and Calin-Jageman (2017). Introduction to the new statistics.

Field, A. (2009). Discovering Statistics Using SPSS.

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

Assessment

Summative

Method	Percentage contribution
Analysis and report	100%

Referral

Method	Percentage contribution
Coursework assignment(s)	100%

Repeat Information

Repeat type: Internal & External

Linked modules

One of the pre-requisites for PSYC8042

Costs

Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:

Printing and Photocopying Costs

Students are expected to fund their own printing and photocopying costs, if any.

Textbooks

Core texts should generally be available on the reserve list in the library. However due to demand, students may prefer to buy their own copies. These can be purchased from any source. The library will also have at least one copy of textbooks listed as additional background reading , or alternatively you may wish to purchase your own copies.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.