SPSS Tutorial

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SPSS Tutorial
Statistics Software a. Survey of Software at
Miami b. Introduction to SPSS
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Steps in the Research Process
1. Define the Problem
2. Conduct research on the problem.
3. Conduct experiments, collect data.
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Steps in the Research Process
4. Analyze the data
5. Present the results.
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Data Analysis Software Available at Miami

• MAPLE
• MATLAB
• Minitab
• SAS
• SPSS
• Mathematica
• R

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Introduction To SPSS
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Sample Data
Most of the examples presented here use the data
file demo.sav. This data file is a fictitious
survey of several thousand people, containing
basic demographic and consumer information
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To Start SPSS
1.        Launching SPSS Assuming SPSS 16.0 (or
later version) is installed on PC CLICK
Start CLICK All Programs CLICK SPSS
Inc CLICK SPSS 16.0
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SPSS Data Editor Window
When you start a session, you see the
Data Editor window.
Before you can analyze data, you need some data
to analyze.
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Getting a Data Source
To open a data file  From the menus choose
  File   Open    Data... Alternatively, you
can use the Open File button on the toolbar.
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Data Source
Click on Tutorial folder
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Data Source
Click on folder sample_files
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Data Source
By default, SPSS-format data files (.sav
extension) are displayed. Select demo.sav and
click Open.
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Data Source
The data file is displayed in the Data Editor.
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If you put the mouse cursor on a variable name
(the column headings), a more descriptive
variable label is displayed .
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By default, the actual data values are displayed.
To display labels From the menus choose  View
?   Value Labels
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Alternatively, you can use the Label tool
Descriptive value labels are now displayed. This
makes it easier to interpret the responses
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Analyze Menu
The Analyze menu contains a list of general
reporting and statistical analysis categories.
Most of the categories are followed by an arrow,
which indicates that there are several analysis
procedures available within the category they
will appear on a submenu when the category is
selected. We'll start with a simple frequency
table (table of counts). From the menus choose
 Analyze   Descriptive Statistics    Frequencie
s...
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Frequencies Menu
This opens the Frequencies dialog box.
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Frequency Dialog Box
A more complete description of each variable pops
up when the cursor is over it.
The variable name (in square brackets) is
inccat, and it has the variable label Income
category. If there were no variable label, only
the variable name would appear in the list box.
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Frequency Dialog Box
In the dialog box, you choose the variables you
want to analyze from the source list on the left
and move them into the Variable(s) list on the
right.
The OK button, which runs the analysis, is
disabled until at least one variable is placed
in the Variable(s) list.
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Selecting Variables
Click Gender gender in the source variable
list, and then click the right-arrow button to
move the variable into the target Variable(s)
list.  Click Income category inccat in the
source list, and then click the right arrow
button again.
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Selecting Variables
Click OK to run the procedure.
A pound sign () icon next to the variable name
indicates that the variable is numeric
An icon with the letter "A" indicates that the
variable is a string (alphanumeric) variable,
which may contain both letters and numbers. A
less-than sign (left angle bracket) indicates
that the variable is a short string, containing
eight or fewer characters.
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Viewer Window
Results are displayed in the Viewer window. You
can quickly go to any item in the Viewer simply
by selecting it in the outline pane. Click
Income category.
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Viewer Window
This takes you directly to the frequency table
for income categories. This frequency table shows
the number and percentage of people in each
income category.
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High Resolution Graphics
You can also the Graphs menu to create charts.
We will create a chart that shows the
relationship between wireless telephone service
and PDA ownership.
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High Resolution Graphics
From the menus choose  Graphs    Bar...
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Clustered Bar Chart
Click Clustered
then click Define.
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Clustered Bar Chart
Scroll down the source variable list and select
Wireless service wireless as the Category
Axis variable.
Select Owns PDA ownpda as the Define Clusters
By variable.
Click OK to create the chart.
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Clustered Bar Chart
The bar chart is displayed in the Viewer. It
shows that people with wireless phone service are
far more likely to have PDAs than people without
wireless service.
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Entering Data in the Data Editor
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Select File New Data
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Data Editor
Select No
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Data Editor Window
Select Variable View in order to define the
variable attributes of this data set.
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Variable View Window
In the Name field in the first row type Temp
and then press return
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Adding Variable Labels
In the Decimals column change the number of
decimal places to 1
In the Label field enter Average Weekly
Temperature
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Adding Fuel Consumption Variable
In the 2nd row Enter Fuelcom in the Name
column, 1 in Decimals column and Weekly Fuel
Consumption in the Label column
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Select the Data View Tab
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Now we are ready to type in the data.
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The Dataset
Temp Fuelcom
28.0
28.0 32.5 39.0 45.9 57.8 58.1 62.5
12.4 11.7 12.4 10.8 9.4 9.5 8.0 7.5
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Completed Data Set
We will compute the correlation between the two
variables
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Select Analyze Correlate Bivariate
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Variable Selection
Select each variable to enter the Variables
window.
Pearson Correlation should be selected.
Test of significance should be two-tailed.
Flag significant correlations box should be
checked.
Click OK
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Correlation Output
Significance Level
Significance Flag
Correlation Coefficient
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Additional Resources for Learning SPSS
Tutorial Covers this and other topics
pertaining to SPSS such as
syntax editor, pivot tables, automated
production. Statistics Coach-The Statistics Coach
item on the Help menu
provides a wizard-like method for finding the
right statistical or
charting procedure for what you
want to do. Case Studies - item on the
Help menu provides hands-on examples
of how to create various types of
statistical analyses and
interpret the results. The sample data files used
in the examples are also
provided so that you can
work through the examples to see exactly how the
results were
produced. Online Help Help menu for every
window. Context and Index tabs
allow finding help for all topics. Most dialog
boxes have a Help button
that takes you directly to a Help
topic for that dialog box.