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Information for module PALS1006

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Module code:PALS1006(Add to my personalised list)
Title:Introduction to Experimental Methods
Credit value:.5
Division:Division of Psychology and Language Sciences
Module organiser:Jyrki Tuomainen
Organiser's location:322 Chandler House
Available for students in Year(s):1,
Module prerequisites:None 
Module outline:Students learn the principles of research methodology in addition to basic descriptive and inferential statistics (bivariate correlation, simple linear regression, t-tests and their nonparametric versions). The use of a statistical computing programme, SPSS, is introduced at the outset of the Term. There are no prerequisites for this course. The mathematical content of this course is minimal and we use computers for all but the simplest calculations. 
Module aims:To teach the principles of research methodology and statistical computing so that students can understand the rationale behind the numerous experimental studies referred to throughout their course. To enable students to understand and evaluate the basic research methodology and simple statistical procedures used by experimenters when reading research papers in their studies. To encourage students to apply and interpret the statistical procedures learned in this course to data generated in other units.  
Module objectives:By the end of the course the students will be able to demonstrate knowledge and understanding of: - The alternative types of research methods available to experimenters - The structure of related and unrelated designs - The statistical tests taught in this unit Cognitive Skills: By the end of the course the students will be able to demonstrate that they can: - Outline the advantages and disadvantages of related and unrelated designs and select the most appropriate one; - Select the most suitable statistical test taking into account the experimental design, the type of data and the experimental questions asked by the experimenter.  
Key skills provided by module:Practical and Transferable Skills: By the end of the course the students will be able to demonstrate that they can: - Interpret tables containing information about means, percentiles, ranges and standard deviations. (They will be able to make use of these skills in other taught modules of the BSc programme). - Analyse data collected in other units using the statistical knowledge and computing skills learned on this course. - Read and interpret simple tables and graphs presenting research different topics in psychology and language sciences. These outcomes will be achieved through: - Teaching of the syllabus outlined below, - Guidance and formative feedback from tutors on non-assessed exercises in practical computing workshops, - Computer assisted learning exercises set for study time;  
Module timetable: 
Module assessment:Unseen open book MCQ test (one hour) 15.00%.
Unseen three-hour open book written examination 85.00%.
Taking this module as an option?: 
Link to virtual learning environment(registered students only) 
Last updated:2012-07-30 14:22:46 by