Overview http:psyweb'psy'ox'ac'ukdapwebteachinggraduateindex'htm

1
Overviewhttp//psyweb.psy.ox.ac.uk/dapweb/teachin
g/graduate/index.htm

• Overall purpose of course.
• MT, HT and TT courses.
• My approach.
• Structure of workshops.
• Pre-workshop preparation- Tuesday lectures.-
  Pre-workshop readings.
• Advanced (on-line) reading.
• MSc Students Statistics Portfolio.
• Donald Broadbent Laboratory setup.

2
Overview
The basic principles of statistical
modelling(General Linear Modelling GLM).
Exploratory Data Analysis Goodness of Fit.
Linear Regression. Logistic Regression.
Analysis of Variance. Log-Linear Analysis.
Time Series Analysis. Factor Analysis.
3
Underlying Principles of the Workshops

• Support for the graduate statistics lectures.
• Cover key issues in statistical modelling.
• Introduce the SPSS Statistical Package.
• Their success requires active participation.

4
Revision.

• Descriptive Statistics
• Exploratory Data Analysis
• Simple Inferential Statistics
• t-test
• Correlation
• SPSS (Statistical Package)

5
Key Statistical Terms

• Scales of measurement - nominal, ordinal,
  interval, ratio.
• Standard deviation, standard error.
• Standard score (Z score).
• Confidence limits.
• Goodness-of-fit.
• Log-likelihood.
• Statistical significance.
• Power.
• Effect size.

6
Revision Resources

• Statistical Methods for the Social Sciences.
  Agresti and Finlay (several editions)
• Introduction to Statistics in Psychology. Howitt
  and Cramer (2005)
• Statistical Methods for Psychology. Howell
  (several editions)
• Understanding Statistics. Pagano (1990)
• HyperStat On-line TextBook http//davidmlane.com
  /hyperstat/index.html
• Power and effect size. See on-line advanced
  reading - Cohen (1992)

7
Exploratory Data Analysis

• Descriptive Statistics
• Plotting Data
• Histogram, StemLeaf Plots, Boxplots
• Test of assumptions
• Homogeneity of variance e.g. Levene test
• Tests of normality normal probability plots,
  Lilliefors test, Shapiro Wilks test.
• On-line readings Behrens (1997) Cohen (1992) .

8
SPSS (Statistical Product and Service Solutions)

• Bring data into SPSS
• Select SPSS Procedures
• Select variables for analysis
• Examine results

9
SPSS Example

• Descriptive statistics on sets 1 to 4
• Normal plots of set1 and set2
• Paired t-test between set1 and set2
• Scatter plot between set1 and set2
• Correlation and partial correlation of sets 1 to
  4
• Log transform of set2

10
On-line SPSS Guide

• How-To-Use SPSS Guide
• http//www.statsguides.bham.ac.uk/

11
Formal Assessment Portfolio

• Follow the format below for each workshop in your
  statistics portfolio.
• Part 1 A brief overview (600 words maximum).
• Basic principles and key definitions
• Circumstances when used
• Key assumptions
• Examples
• Key references/resources
• Part 2 Summary of the specific worksheet
  problems/answers.
• Summary of the specific problems
• Results of the analyses, including relevant SPSS
  output
• References to issues and points raised in Part1
• Overall conclusions
• Additional observations