Handling
Numerical Data Effectively: |
Introducing
'descriptives'
Focus 1 - 11. The material that you will have covered
at the successful conclusion of this unit.
10
user tips
Ideas to help you use this material effectively.
Comprehensive
reading lists
This is a selection of the
best books in the library and in the bookshop. There is a short critique of some
of the books to help in the selection process. The list is multidisciplinary.
Signposts
to help
...a page
to help you select the right statistical test for the job...
Main
Glossary of technical terms
An easy-to-use reference page when a definition of a word or phrase is needed.
Extended
glossary
A
selection of expanded definitions / worksheets for particular use with Microsoft
Excel.
A (very) short Introduction to SPSS and Excel
Like all software programmes...you need to understand the basics before you can use them. This page will get you started....
Each 'Focus' contains explanations, examples and exercises related to the material delivered in your lectures and relevant to your course. The site has been designed in such a way that each topic can be used as a 'refresher' or for a specific statistics task that you have to deal with. The 'Clipart' images are there to indicate where a new worked topic or example begins.
"Do
not follow the Focus pages in a purely linear fashion if you do not wish to" |
For
dissertation and assignment purposes, use the Signpost
page |
Focus 1. Qualitative and Quantitative data, Scales of measurement, Bias, Types of Variable,
Focus 1a What is a sample? Sampling methods
Focus 2. Professional (visual) presentation of data, Ranking , 'Picture scores', Bar charts, Histograms, Pie charts, 'Stem and Leaf' plots
Focus 2a . Aspects of Central Tendency. What actually is the 'Average'?. Dispersion
Focus 2b . Constructing Histograms and Box Plots
Focus 3 . Towards the Normal Distribution, working with 'Z'- scores, Standard Normal distributions
Focus 3a . Histograms and SPSS
Focus 3b . Bar Charts and Boxplots (when working with SPSS)
Focus 3c : Normal distribution (Online connection essential)
Focus
4 . The Beginnings of Inferential
Statistics. Are two groups different? Hypothesis testing, Probability
and P-values, Ho and H1, Type 1
& 2 errors
Focus 5 . Using and interpreting 'official statistics', handling misleading data
Focus 6 . Paired t-test, a note about standard error, an explanation of 'degrees of freedom'
Focus 6a . Un-paired / un-matched / independent samples t-tests, a note about Z-tests
Focus 7 . Working with Index Numbers
Focus 8 . Nonparametric tests: More about questionnaires, Coding, The Mann-Whitney 'U' test for 2 independent data sets and the Wilcoxon test for matched-pairs
Focus
8a. The Chi-square test for Association (Nominal data) and Yate's correction.
A short note
about
the 'G' test
Focus 9 More about frequency analysis, testing for normality, the 2 Kolmogorov-Smirnov tests: for normality and the two-sample test
Focus 10 . The concept of Correlation, Spearman's non-parametric test
Focus 10a . Pearson's Product Moment Correlation Coefficient test
Focus
11 . Simple two-variable Regression analysis.
A
note on testing the significance of a regression line
SPSS
data sets: Index page. A full list of
all (active)data sets held on this (SM) version.
Improve your fluency with SPSS by using and reworking the data sets listed
here.
Exploring
more advanced methods.
Focus
12 -18 An overview of the material that you will have covered at the successful
conclusion of this unit. The use of such material in a dissertation (only when
appropriate!) will add depth to your work.
-------------------------------------------------------------------------------------------------------------------
Focus 12. Multiple regression. Working with three or more variables at a time.
Focus
13. An brief
introduction to ANOVA's....(1)
Regression ANOVA's,
(2)
one-way (one-factor) Independent - Groups ANOVA. Post
hoc tests (Tukey's test)
Focus 13a. The Kruskal-Wallis and Friedman tests for non-parametric data (plus various post hoc tests)
Focus 13b. A brief description of some of the other types of Analysis of Variance
Focus 14. 'Reducing the dimensions', Factor Analysis & Principal Components Analysis (PCA)
Focus 15. Cluster Analysis (HCA), Dendrograms
Focus 16. Discriminant analysis
Focus 17. Binary Logistic Regression
Focus 18. Time Series Analysis'Trends' and 'Smoothing'
Go to : 'Reasons for Using Statistics' page