Introduction to SPSS. Data types and SPSS data entry and analysis. In this session. What does SPSS look like? Types of data (revision) Data Entry in SPSS Simple charts in SPSS Summary statistics Contingency tables and crosstabulations Scatterplots and correlations
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Data types and SPSS
data entry and analysis
(e.g. 1=Female, 2=Male, 99=Missing)
(e.g. 1=Yes, 2=No, 99=Missing)
(e.g. 1=UK, 2=Ireland, 3=Pakistan, 4=India, 5=other, 99=Missing)
e.g. Number of GCSEs passed by students taking Health and Illness option
Age of Health and Illness students
Fill colour changed.
N.B. numbers refer to case numbers.
Fill pattern suitable for black and white printing
Bin size made smaller to show more bars
Shadow and one slice moved out for emphasis
Cross tabulations and Chi-square are tests that can be used to look for a relationship between two variables:
An analysis on a sample of 2 (e.g. Black African) would not have been very meaningful!
r = 0.7
r = -0.7
r = 0.9
r = 0.2
No significant difference therefore assume equal variances Illness option
Means are statistically significantly different
Useful to get table of means (descriptives) and means plots from ANOVA options.