PRS530

1. Overview: SPSS
Rebecca Filipowicz, MPH, MS, CHES

2. Statistical Packages
 Data Entry
 Data Manipulation
 Data Analysis (Descriptive,Inferential)
 Graphs

3. 3 SPSS File Types/Windows
 .SAV – data file/Data Editor
 .SPO – output file/Output Viewer
 .SPS – syntax file/Syntax Editor

4. Opening a Dataset
Data can be entered directly or a file containing
data can be open (can be in a variety of
formats)
Data View (contains the data)
Variable View (contains information about the
variables)

5. Data Editor
 Menu commands
 File: open, reads, saves, exits
 Edit: copy, paste, find
 View: control the way screen appears
 Data: define, go to data, sort cases, merge
file, select cases
 Transform: manipulates data (compute and
recode)

6. Data Editor
 Menu Commands
 Analyze: data analysis
 Graphs: create graphs
 Utilities: list variables
 Window: position and format windows
 Help: Tutorial, index

7. Creating a new variable
 Name
 Type
 Width
 Decimals
 Label
 Values (used in
output display)
 Missing values
(used mostly for
NA or refused -
will not include in
analysis if
designated)
 Column format
 Alignment
 Measurement

8. Variable Type
 Numeric
 Comma
 Dot
 Scientific notation
 Date
 Dollar
 Custom Currency
 String

9. Labels
 The text that describes the response
categories
1=American Indian
2=Asian
3=Black
4=Hispanic
5=Native Hawaiian
6=White

10. Create Sample Survey
 Entering data
 Click in the cell
 Type in the response code
 Press right arrow
 Missing
 Skip the question
 Press right arrow to go to the next variable

11. Editing and Finding Data
 Review case’s responses
 Make a change to case’s responses
 Searching for cases that meet a certain
criteria
 Finding Variables: Go To
 Finding Cases: Go To
 Sorting variables/cases

12. Opening data
 A lot of formats you can import from and
export to (will do some of this in the closing
on campus session)

13. Working with Data
 Know your questions
 Know your codebook
 Question
 Name of variable
 Level of measurement
 Response type (numeric, date, text, etc.)
 Response categories
 Text labels

14. Analyze Data
 Basic
 Descriptive Statistics
 Frequencies
 Descriptives (mean)
 Cross tabs
 Reports
 Case summaries

15. Outputs
 Output Viewer
 Left frame – outline of objects in window
 Contains syntax at top of figure
 Figures, Titles, Dataset, Notes
 Deleting
 Editing
 Exporting

16. Other Analyses
 Correlations
 T-test
 Logistic and linear regression
 ANOVA and MANOVA and MANCOVA

17. Selecting Cases
 If condition satisfies
 New data set
 Filter only

18. Data manipulation
 Creating Variables
 Compute
 New variable
 Recode
 Old variables to new/same variables

19. Syntax
 Used for saving a log of what you have done
to to re-run what you have done at a later
date.
 Can type directly into syntax file (must know
language) or can paste from commands