SPSS Examples Page 17
SPSS
Examples
(Version 15)
Topic Pages
General Notes 2
Descriptive Statistics 3
One-Sample Tests 4-5
Two-Sample Tests 6-7
One-Way Analysis of Variance 8-9
Factorial Design 10-11
Unbalanced Design 12
Chi-Square Test of Independence 12-14
Correlation 15
Cronbach’s Alpha 16
Simple Linear Regression 17-20
Regression Diagnostics 21-22
Multiple Regression 23-34
Prepared by Bob Schulman, April 2007
General Notes
All of these examples were run on version 15 of SPSS.
SPSS has two main windows, the Data Editor window for input and the Viewer window for output. Data are entered into the Data Editor window one row per observation and one column per variable. To assign variable names, use the Variable View tab of the Data Editor window. Variables created and saved during an analysis are added to the Data Editor window.
To run an analysis, pull down the Analyze menu, select a category, and then a procedure from the submenu. This action is represented with arrows. For example, Analyze è Descriptive Statisitcs è Descriptives denotes pulling down the Analyze menu, selecting Descriptive Statistics, and then selecting Descriptives from the submenu. Variables and options are identified in a dialog box, with additional features selected from subdialog boxes. Use the arrow buttons to move selected variables into the target lists and click on OK to run the procedure. The results of the analysis are displayed in the Viewer window.
Descriptive Statistics
Example: "Sales Contracts"
A large company was interested in the productivity of its sales force. Six salespersons were randomly selected, and the number of contracts negotiated in the past month was determined for each. The resulting values were 7, 4, 10, 2, 9, and 4.
Data Editor
One variable, named SALES, is entered in the first column.
Analyze è Descriptive Statistics è Descriptives
Variable = SALES
Options = Mean, Std. deviation, Variance, Range, S.E. mean
Viewer
N
Range
Mean
Std. Deviation
Variance
Statistic
Std. Error
SALES
6
8
6.00
1.291
3.162
10.000
Valid N (listwise)
One-Sample Tests
Example: "Sprinkler Activation Time"
A fire prevention sprinkler system is designed to activate within 25 seconds when the temperature reaches a certain threshold. In 20 trials at the threshold temperature, the following activation times were recorded:
21 23 33 29 25
39 34 19 24 30
24 35 31 41 27
29 39 18 37 21
Is the system responding within the designed time limit?
One variable, named TIME, is entered in the first column of the Data Editor. SPSS produces the t test through one procedure, and nonparametric tests (the signed rank test and sign test) through a different set of menu commands. Accordingly, two separate analyses are shown below.
Data Editor – t Test
The t test allows specification of the hypothesized mean, 25 for our example, but automatically prints a two-tailed p-value.
Analyze è Compare Means è One-Sample T Test
Test Variable(s) = TIME
Test Value = 25
Options = 95% Confidence Interval
Viewer – t Test
T-Test
One-Sample Statistics
Std. Error Mean
TIME
20
28.95
7.052
1.577
One-Sample Test
t
df
Sig. (2-tailed)
Mean Difference
95% Confidence
Interval of the Difference
Lower
Upper
2.505
19
.022
3.950
.65
7.25
Data Editor – Nonparametric Tests
Technically, SPSS does not perform nonparametric tests for a single mean. However, by defining a second variable (CONSTANT) with the value of 25 for each observation, we can use a paired-data approach to produce the one-sample nonparametric tests. The signed rank test is requested using the keyword Wilcoxon, the name of its developer.
Analyze è Nonparametric Tests è 2 Related Samples
Test Pair(s) List = TIME, CONSTANT
Test Type = Wilcoxon, Sign
Viewer – Nonparametric Tests
NPar Tests
Wilcoxon Signed Ranks Test
Ranks
...
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