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Module details

PS908-7-FY: RESEARCH METHODS AND STATISTICS IN PSYCHOLOGY

Year: 2013/14
Department: Psychology
Essex credit: 30
ECTS credit: 15
Available to Study Abroad / Exchange Students: No

Staff
Supervisor: Prof Riccardo Russo  
Teaching Staff: Prof Riccardo Russo  
Contact details: E-mail: rrusso (Non essex users should add @essex.ac.uk to create the full email address)  

Module is taught during the following terms
AutumnyesSpringyesSummeryes

Module Description

This course concerns statistical analysis and design for experiments in Psychology to the level required for British Psychological Society graduate membership.

Course Objectives

1. To impart basic statistical skills for the analysis of data obtained in psychological experiments.

2. To teach the key characteristics of experimental design.

3. To develop statistical skills using computer packages.

4. To develop report writing skills.

Curriculum organisation and delivery

The course will be taught across a whole academic year using lectures and practical classes involving computers. It will start from an elementary level and develop quickly to advanced statistics based on the general linear model used in analysis of variance. Students will carry out a personal experimental project that will be discussed in class and in individual supervision.

Course outline

Lecture 1

Descriptive statistics. Introduction and definitions. The concept of a statistic.

Lecture 2

Variables (nominal, ordinal and interval) and appropriate statistics (mean, median and mode) and graphical techniques.

Lecture 3

Additive model. Variance. Standard scores.

Lecture 4

Correlation as a descriptive statistic.

Lecture 5

Linear regression and partitioning of scores.

Lecture 6

Review of descriptive statistics.

Lecture 7

Reading frequency histograms. Normal distribution.

Lecture 8

Estimating population means from samples. Distribution of the sample mean.

Lecture 9

Estimating population variance from samples. Biased estimates. Degress of freedom.

Lecture 10

Examination.

Lecture 11

Null hypothesis. Confidence intervals. Detecting rogue samples.

Lecture 12

Significance tests. One-sample and paired sample t-tests.

Lecture 13

Type I and II errors. One and two tailed tests. Related and unrelated pair designs.

Lecture 14

Comparing two variances.

Lecture 15

One-way analysis of variance.

Lecture 16

Introduction to a study

Lecture 17

Two-way analysis of variance.

Lecture 18

Analysis of variance, fixed and random factors.

Lecture 19

Review.

Lecture 20

Examination.

Learning & Teaching Methods

Lectures and workshops

Assessment

100 per cent Coursework Mark

Coursework:
End of term test 1 (at week 1 spring term) 10% Ebd of module test (week 2 summer term) 40% LAb report (to be submitted week 1 summer term) 2000 words 50%.

Exam Duration and Period

Other information

Compulsory for:

MSc in Psychology students

GDip in Psychology students

Last updated 15/9/12 Les

Bibliography

  • Key Text:
  • The course is not based on a specific textbook as adequate handouts will be supplied throughout. However, the following text is recommended for associated reading:
  • Russo, R. (2003) Statistics for the Behavioural Sciences, Psychology Press.

Further information

External Examiner Information

  • Name: Dr Peter Hegarty
  • Institution: THE UNIVERSITY OF SURREY
  • Academic Role: Reader in Social Psychology

Should you have any queries about the Module Directory pages, please contact the Course Record Team, Systems Administration Office, Academic Section; email: crt (non Essex users should add @essex.ac.uk)