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This subject comprises two units.
Introduction to Design and Analysis for Psychological Research: covers basic experimental and survey design for psychological research and associated methods for data analysis. The unit is intended to develop students' capabilities in a range of exploratory and hypothesis-testing data analytic techniques, including skills in creating and interpreting graphical displays, and an understanding of a range of descriptive and inferential statistics. Methods of statistical inference, interval estimation and hypothesis testing are introduced, and emphasis is given to the interpretation of data analysis. The practical classes introduce students to computer-based data analysis using the statistical package SPSS.
Introduction to Psychological Measurement: is an introduction to the process and purpose of psychological testing at the level of the individual. The unit covers basic concepts in psychological testing and measurement to show how individual differences are quantified. Quantitative measurement of individual behaviour serves a fundamental purpose in psychology including, for example, obtaining data for theoretical investigations, identification of abnormal behaviour in clinical settings, and identification of special skills or attributes in personnel selection or workplace settings. All applications of psychological measurement may involve evaluation of the quality or reliability and validity of measurement. Topics include the history of psychological measurement and testing; methods for new test development; evaluating the reliability and validity of measurement; validity of professional decisions; contemporary approaches to evaluating psychological measurement; and an introduction to psychological tests and testing applications.
Intended learning outcomes
- develop skills in exploratory and hypothesis-testing data analytic techniques
- create and interpret graphical displays
- understand a range of descriptive and inferential statistics
- be introduced to the process of psychological testing at the level of the individual
On completion of this subject, at an introductory level students should be able to: analyse research and measurement issues from an evidence-based perspective; evaluate critically research designs and data analytic techniques used in quantitative research; strengthen their own capabilities in data analysis, particularly using major software packages; understand the steps involved in developing and evaluating psychological tests; identify strengths and weaknesses of measurement instruments appropriate to the social and behavioural sciences.
Last updated: 29 October 2019