PSY2005 Statistics and Research Methods: Quantitative
data analysis component
This page summarises resources
that will help you with the Lent Term part of the Quantitative data analysis
component of course PSY2005. You will be given a copy on paper, but it
is also available on the world wide web at http://www.exeter.ac.uk/~SEGLea/psy2005
and the version on the web will be updated as new information or corrections
come in. In the web version, links to resources are live.
- There is an entry for PSY2005
in the department's second
year undergraduate handbook and this contains important information
about the dates of assessments.
- Handouts for the multiple regression part of the course will be given
out each week. However the full set is available in advance on the web.
The links in the web version of the following list are live.
- The following list gives the programme for the Lent term week by week.
Note that topics 3 and 4 have been interchanged from the order they had
in the department handbook.
test paper is available to give you a chance to check your understanding
further, and to prepare for the assessments. Answers
and a marking guide for the dummy test are also available.
- (a) Introduction to multivariate analysis:
when can different forms of analysis be used, and what questions do they
answer? Relations between different multivariate analyses, and between
multivariate analyses and analysis of variance. (b) The
idea of a regression equation. Using Minitab to carry out simple regression.
(Topic b will be covered during the practical class). Reading: Class handout
sheet. Monk, chapter 4.
idea of multiple regression. Carrying out multiple regression using
Minitab. Descriptive statistics and tests of significance. Interpreting
and reporting regression results. Problems with data and how to deal with
them. Reading: Class handout & examples
sheet.. Monk, chapter 8 (omit material on stepwise regression).
between regression models. Exploratory data analysis vs. significance
testing. Goodness of fit and economy of prediction. Stepwise and setwise
regression procedures.Using the BREG command in Minitab to carry out setwise
regression. Reading: Class handout & examples
sheet. Monk, chapter 8.
variables. Levels of measurement: ordered and unordered categories.
Dummy variable analysis. Carrying out dummy variable analysis in Minitab.
Reading: Class handout and examples
- Introduction to SPSS. Using SPSS to carry out multiple regression and
analysis of variance. The idea of analysis of covariance. Reading: Bryman
& Cramer, chapter 10.
- Using SPSS. Creating system files and command files. Practical work:
simple exercises using SPSS in interactive and batch mode. Reading: class
handout. Bryman & Cramer,
chapters 2, 3 & 5.
- Introduction to Factor Analysis. Practical work: Using SPSS to carry
out a principal components analysis and factor analysis on some of the
"Justice" data. Reading: Class handout; Kline, chapter 1.
- Interpreting SPSS factor analysis output. Item analysis. Practical
work: Reliability analysis on sets of items for scale construction. Reading:
Class handout; Bryman & Cramer, chapter 11; Kline, chapters 7 &
- Creating summative scales. Practical work: Using scales to explore
inter-group differences. Reading: Class handout; Bryman & Cramer, chapter
- Term test on multivariate analysis. Reading: Fontana D. (1989), Managing
Stress. Parry, G., (1990), Coping with crises .
Stephen Lea & Carole
University of Exeter
Department of Psychology
Washington Singer Laboratories
Exeter EX4 4QG
Tel +44 1392 264626
Fax +44 1392 264623
Send questions and comments to the
departmental administrator or to the
author of this page
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(access count since 1st January 1997).
Document revised 11th January 1997