1. Statistical package for social science
Scientific research
Presented to : Dr. Basma Damiri

2. Outline
SPSS definition .
History of statistics
 Uses and importance .
Topics of statistical
data analysis.

3. History of statistics
 Statistical package for social sciences
 1968

4. Uses of SPSS
 Data collection and organization.
 Data output.
 statistical testes.

5. Before the data entry
 You need a code book/scoring guide.
 You also can use Excel to do data entry.

6. Enter data in SPSS
6
Columns:
variables
Rows: cases
Under
Data View

7. Enter variables
7
1. Click this
Window
1. Click Variable View
2. Type variable name under
Name column (e.g. Q01).
NOTE: Variable name can be 64
bytes long, and the first
character must be a letter or
one of the characters @, #, or
$.
3. Type: Numeric, string, etc.
4. Label: description of variables.
2. Type
variable name
3. Type:
numeric or
string
4. Description
of variable

8. Enter variables
8
Based on your
code book!

9. Enter cases
9
Under Data
View
1. Two variables in the data set.
2. They are: Code and Q01.
3. Code is an ID variable, used to identify individual
case (NOT people’s real IDs).
4. Q01 is about participants’ ages: 1 = 12 years or
younger, 2 = 13 years, 3 = 14 years…

10. Data review before statistical
analysis
 To ensure that the data that entered to the
computer is correct and complete we have to
review important problems :
1. Outliers .
2. Missing data.
 Exclude cases pairwise.
 Replacing missing data.
3. Normal distribution .