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Information for module PSYC2204

This module is available for 2016/17

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Module code:PSYC2204 (Add to my personalised list)
Title:Design and Analysis of Psychological Experiments
Credit value:.5
Division:Division of Psychology and Language Sciences
Module organiser (provisional):Dr A McClelland
Organiser's location:Division of Psychology and Langage Sciences
Available for students in Year(s):2
Module prerequisites:Normally PSYC1104 Introduction to Statistical Methods in Psychology First and second year modules are largely unavailable to non-Psychology students due to the number of students who take them as part of their programme. To find out if they are available to you please visit the website below, selecting the relevant information sheet.  
Module outline:The topics covered are: Non-parametric statistical tests; introduction to Analysis of Variance (ANOVA); One-Way ANOVA (Between and within subjects designs); Contrast and Trend Analysis on One-Way ANOVA; Factorial ANOVA (Between and within subjects designs); Split-plot (Mixed) ANOVA. Non-linear Data Transformations; Correlation and Simple Regression (Revision); Multiple Regression; Hierarchical Regression; Forming New Variables for Existing Variables; The General Linear Model; Introduction to Factor Analysis 
Module aims:This course aims to provide students with the knowledge required to design sound psychological studies and to apply appropriate analyses to the results. Students are expected to use this knowledge in the PSYC2203 course, and in their Third Year Project work. The course also provides a foundation for the PSYC3301 Advanced Multivariate Statistical Methods in Psychology Third Year option. Additional aims are to furnish students with a sound theoretical understanding of the methods taught, as well as practical instruction in the use of a widely used statistical package (SPSS for Windows).  
Module objectives:- Students should be able to apply the appropriate analysis to a variety of simple and factorial experimental designs - Students should be able to carry out appropriate analyses using SPSS - Students should appreciate the difference between planned and unplanned contrasts in ANOVA and be able to conduct them appropriately - Students should be able to apply appropriate non-linear transformations to data in order to meets the assumptions underlying ANOVA models - Students should understand the difference conclusions that can be drawn from a by-subjects and a by-item analysis - Students should be able to apply an appropriate analysis to data obtained in a balanced randomized block design with a binary (categorical) response measure  
Key skills provided by module: 
Module timetable: 
Module assessment:Continuous assessment 100.00% 
Notes:Core course for Psychology students 
Taking this module as an option?:No 
Link to virtual learning environment (registered students only)
Last updated:2016-08-26 11:35:14 by ucjtm62