SPSS Overview

The opening screen

2

The SPSS windows

3

Obtain the data

• Download the Demo File from the data folder in the course Blackboard site

• Save it on the desk top• Open the saved file with SPSS

PASW (SPSS)

4

Data EditorVariable

descriptions

Drop down menus

Action buttons

PASW (SPSS)

5

Data Editor Action buttons

PASW (SPSS)

6

SPSS ViewerDrop down

menus Action buttons

Navigation window

Output window

7

SPSS Viewer – export results

8

SPSS Viewer – export results

9

PASW (SPSS)

Syntax EditorDrop down

menus

Navigation window

Syntax window

10

HELP!

PASW (SPSS)

11

Customizing SPSS

12

PASW (SPSS)

DATA MANAGEMENT WITH SPSS

13

Data management with SPSS

• Read an existing data set– Action buttons: Open data document button– Menu: File → Open → Data

• Entering data – Menu: File → New → Data

• Select a subset of the data– Action buttons: Select cases button– Menu: File → Data → Select cases

14

Select all the data for the Ottawa-Gatineau CMA

PASW (SPSS)

Close the original data set once the subset has been created.

15

Additional hints on data management

• Defining variable labels– VARIABLE LABELS varname ‘variable label’.

• Define variable level of measurement– VARIABLE LEVEL varname (NOMINAL).

• Define values for code-set– VALUE LABELS varname 1 ‘label1’ 2 ‘label2’ ...

16

Merging datasets

• Add new variables or add new cases• Both datasets must be open at the same time• Select one dataset to be the “master”

– The second dataset will be the source of the new cases or new variables

• BOTH datasets must have the same unique case (or record) identifier.

17

How to add a variable

18

PASW (SPSS)

UNIVARIATE STATISTICS

19

Measures of central tendency Menu: Analyze → Descriptive Statistics → Frequencies

20

Alternative method to obtain descriptive statistics

21

Statistics and chart options

22

Do females have a higher after-tax income than males?

23

BI-VARIATE ANALYSIS

24

Cross-tabulations

• Specify cell-level statistics– Row, column and total %– Chi-square– Other measures of

association– Measures of correlation

25

Do women travel further to get to work?

26