SPSS tutorials

The following links will take you videos of individual Stata tutorials. The other links are to downloadable text which should be opened within the Stata programme.

[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 analysis Univariate (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)                                     

• 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)                    

5. 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