PSY2010 : Statistics for Experimental Psychology
- Offered for Year: 2017/18
- Module Leader(s): Dr Kevin Wilson
- Owning School: Psychology
- Teaching Location: Newcastle City Campus
|Semester 1 Credit Value:||10|
To provide an understanding of statistical methods relating to Analysis of Variance and Regression and Correlation. The methods will include parametric and non-parametric techniques and will include appropriate computational methods.
In the modern age advanced analysis and interpretation of data has become universally important. The aim of the course is to enhance levels of both statistical literacy and numeracy. It will enable students to analyse their own experiments and interpret the reports of others.
Outline Of Syllabus
Review of z-tests, t-tests and Non-Parametric Methods for comparing two populations. One Way Analysis of Variance. Design and Analysis of Experiments. Planned Comparisons and Post Hoc Tests. Non-parametric Methods for Comparing Several Populations (Kruskal-Wallis & Friedman). Analysis of Two-factor Experimental Designs. General Analysis of Variance. Correlation, Simple Regression Analysis, Multiple Regression Analysis.
Regression Decision Analysis.
|Guided Independent Study||Assessment preparation and completion||36||1:00||36:00||N/A|
|Scheduled Learning And Teaching Activities||Lecture||12||1:00||12:00||N/A|
|Scheduled Learning And Teaching Activities||Practical||12||2:00||24:00||Academic hours - practicals are duplicated|
|Guided Independent Study||Independent study||28||1:00||28:00||N/A|
Teaching Rationale And Relationship
Practicals enable students to apply statistical methods and provide an opportunity for students to clarify any misunderstandings about the methods taught in the lectures. Calculations are carried out on computers using SPSS and they are intended to enable students to develop their computing skills.
The format of resits will be determined by the Board of Examiners
|Written Examination||120||1||A||80||Exam is unseen|
|Prob solv exercises||1||M||5||Problem Solving Exercise 1 - See below for further details|
|Prob solv exercises||1||M||5||Problem Solving Exercise 2 - See below for further details|
|Prob solv exercises||1||M||5||Problem Solving Exercise 3 - See below for further details|
|Computer assessment||1||M||5||See below for further details|
Assessment Rationale And Relationship
The examination assesses knowledge and understanding of statistical methods and will require an ability to draw on material from throughout the course.
Coursework carried out in the tutorials and continued in the students' own time forms a series of 4 assignments. These assignments carry 20% of the module marks as an indication of the importance of applying the statistical techniques during the learning process.