Data management through spss

TRAINERS : BIZIMANA Appolinaire
HABINSHUTI Cyprien
IMANISHIMWE Valentine
Department of Applied Statistics
UNIVERSITY OF RWANDA
December,06.2014

 Practice 1
Name Gender Height
JAUNITA 2 5.4
SALLY 2 5.3
DONNA 2 5.6
SABRINA 2 5.7
JOHN 1 5.7
MARK 1 6
ERIC 1 6.4
BRUCE 1 5.9
Value = 1 represents Male and Value = 2 represents Female

 Sorting the Data: to change the order of cases in
data editor
 Click „Data‟ and then click Sort Cases
 Double Click „Name of the students.‟ Then click
ok.
 The screen will look like:

Practice 2: How would you sort the data by the
„Height‟ of students in descending order?
 Answer: Click data, sort cases, double click „height
of students,‟ click „descending,‟ and finally click ok.

For a subset of the data file,
use Select Cases if your
analysis is willingly to be
done on that subset
In the menu, click Data.
Click
Select Cases..

To select only
those
cases which meet
certain criteria,
choose the If
option
At the bottom of the dialogue box you can specify how
SPSS has to deal with the cases not selected

Enter the expression that will determine which
variables will be selected
 Click Continue

When you’ve finished specifying selection criteria,
click OK.

 Split file
  It often happens that you distinguish between
groups and with to carry out analysis for each group of
cases separately ( e.g. You may wish to analyze men
and women as two separate groups, etc).
  The split file command is useful when you want to
perform the analyses for each group (You use split file
to specify each group are to be distinguished and to
instruct SPSS to perform each of the following
analyses separately for each of the groups)

You find the split file command by selecting:
Data Split File

You now need to do is to “switch on” split file, by
clicking either of the following options:
 compare groups: the output shows the results of all
groups together
 Choose this option when you want to compare the
groups with each other
 Organize output by groups: the results of each
analysis are shown for each group separately.
 Choose this option if you wish to perform the same
analysis for several groups.

Note: split file is switched off or on by selecting one of
the options in the dialogue box:
 Analyze all cases, do not create groups: to switch off
 Compare groups or organize output by groups: to
switch on The bottom line in the dialogue box displays
the current status of split file
 If you specify more than one variable for the group
classification, each combination of values of these
variables forms a separate group

 Merging: Adding cases and variables
 Sometimes there is a need to combine data files.
 An example is when three persons have
separately entered the responses to a
questionnaire.
 The three resulting data files then have to be
combined into one overall data file.
 Procedure
Data Merge files Adding cases or Adding
variables

 Explanation:
-Adding cases: the two data files contain the
same variables but different cases
- Adding variables: the two data files contain
different variables but the same cases
ADDING CASES
Data Merge files Add cases

Process:
 First, you have to specify in the first dialogue box
which data file you want to merge with the current
data file(active data set)
 Second, the next dialogue box SPSS compares
the variables in the two files Variables that are
presented in both files are listed under” variable in
new active data set”, others are listed under
“unpaired variables”

 First, you have to specify in the dialogue box
which data file you want to merge with the file
currently in the data editor(active data set)
 Second, in the next dialogue box SPSS compares
the variables in the two files Under “New active
data set “ you find all variables currently in the
data editor plus those variables from the file to be
added that do not occur in the active data set

 Visual binning
Transform
Visual binning
Variable to bin
continue

Visual binning
(binned name)
Make cut point
Click apply
Binning specification
ok

 Frequencies: this analysis produces frequency tables
showing frequency counts and percentages of the
values of individual variables
 Descriptive: this analysis shows the maximum,
minimum, mean, mode, median, variance and
standard deviation of the variables
 Cross tabulation & Chi 2: to test the relationship
between two qualitative variables
 Comparing means (T-Test &ANOVA)
 Linear regression analysis: this analysis estimates the
coefficients of the linear equation

Opening the sample data
 Open „Employee data.sav from the SPSS‟
– Go to “File,” “Open,” and Click Data

Go to Program Files,” “SPSSInc,” “SPSS16,” and
“Samples” folder.
Open “Employee Data.sav” file

 Frequencies
 Click „Analyze,‟ „Descriptive statistics,‟ then click
„Frequencies

 Click gender and put it into the variable box.
Click „Charts.‟
Then click „Bar charts‟ and click „Continue.‟

 Finally Click OK in the Frequencies box
Paste to copy the command to the syntax editor;
Reset to clear all settings and all variables entered;
Cancel to cancel the command;
Click ok

 Descriptives:
Click „Analyze, „Descriptive statistics, then click‟ ‟
„Descriptives…‟
Click „Educational level and „Beginning Salary, and put it into‟ ‟
the variable box
Click Options

•The options allows you to analyze other
descriptive statistics besides the mean and Std.
• Click „variance and „kurtosis‟ ‟

 Finally Click OK in the Descriptives box. You will be able
to see the result of the analysis.

 Crosstabs & Chi 2
 A two or multi way-table giving a variety of
statistics
and measures of association and independence
between categorical or qualitative variables
 In SPSS, we have a two way table(contingence
table, used when assessing the relationship
between two qualitative variables).
Example :Do men and women have the same
educational level?

In this dialogue box , you specify which variable you
want as row variable and which as column variable
Click on Statistics

Choose all interesting statistics, then click on
Continue and Ok

To select the counts,
percentages, and
residuals to be
displayed in each cell,
click Cells.
 Select the information
to be displayed in
each cell.
Click Continue
 Click OK

 Independent Samples T-Test
 In the menu, click Analyze → Compare Means
→Click Independent Samples T-Test
Select and move
Test Variable(s)
Grouping
Variable
 Click
Define Groups

Enter the values for the
groups
Click Continue
Click OK to run the procedure

One-Way Analysis of Variance
 In the menu, click on Analyze →Compare Means
→Click
One-Way Analysis of Variance

Select the
appropriate
Post Hoc
comparisons
Click Continue

Click Options for
Descriptive statistics
Homogeneity of
variance
 Mean plots
Missing values options
Make appropriate
selections, then click
Continue

To run the
One-way ANOVA
procedure, click
OK

Data management through spss

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