SPSS tutorial contents

 [download the demo data file|]

1. Introduction and basic housekeeping

• Introduction: opening a data file and viewing its contents
• Creating new variables and entering data

2. Manipulating data

• Creating grouped variable from a continuous Variable
• Selecting Case
• Weighting

3. Descriptive analysisUnivariate (one variable at a time) 

• Describing a continuous variable: measures of central tendency and dispersion; histogram
• Describing a categorical (ordinal) variable: frequency table; bar chart

Bivariate (exploring relationships between pairs of variables)

• Contingency tables: Describing the association between two categorical variables
• Correlation coefficients: Describing the association between two continuous variables
• Drawing a scatter plot: Visualising the association between two continuous variables

4. Inferential statistical analyses

With a continuous responses or dependent variable

• Independent samples t‐test: Comparing the means of two groups (continuous response variable, binary explanatory variable)
• Simple linear regression: Testing the linear association between two continuous variables (continuous response variable, continuous explanatory variable)
• Multiple linear regression: Testing the linear association between a continuous response variable and more than one explanatory variable (continuous response variable, explanatory variables various levels of measurement)

With a categorical response or dependent variable

• Two‐way contingency table and chi-squared test: Testing the association between two categorical variables
• Three‐way contingency table and chi-squared tests: Testing the association between two categorical variables conditioning on levels of a third categorical variable
• Binary logistic regression: Testing the association between a binary response variable and a explanatory variables with various levels of measurement

 

 

 

 

 

 

These pages were sponsored by a grant from the LSE Annual Fund|.