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An Interactive Tutorial for SPSS 10.0 for Windows©
Binomial Logistic Regression
by
Julia Hartman
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© Copyright 2000, Julia Hartman
1
Binomial Logistic Regression:
Introduction
According to SPSS Help, Logistic Regression:
…is useful for situations in which you want to be able to
predict the presence or absence of a characteristic or outcome
based on values of a set of predictor variables. It is similar to a
linear regression model but is suited to models where the
dependent variable is dichotomous. Logistic regression
coefficients can be used to estimate odds ratios for each of the
independent variables in the model.
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© Copyright 2000, Julia Hartman
2
Binomial Logistic Regression:
Introduction
This tutorial will use logistic regression to
determine if the year of matriculation, gender,
and US Medical Licensing Exam (Part 2) scores
be used to predict whether or not physicians are
board-certified in a primary care specialty
(Family Medicine, Internal Medicine, Pediatrics,
Ob-Gyn).
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© Copyright 2000, Julia Hartman
3
Binomial Logistic Regression:
Introduction
• Independent variables (covariates)
 matyr: Matriculation year (continuous)
 gender: Gender of student (1 = female, 2 = male)
 usmle2: USMLE Step 2 (continuous)
• Dependent variable
 primcare: Board certified in Primary Care specialty
Next
© Copyright 2000, Julia Hartman
4
Binomial Logistic Regression:
Starting the Procedure
• In the menu, click
Analyze
© Copyright 2000, Julia Hartman
5
Binomial Logistic Regression:
Starting the Procedure
• In the menu, click on
Analyze
• Point to
Regression
© Copyright 2000, Julia Hartman
6
Binomial Logistic Regression:
Starting the Procedure
• In the menu, click on
Analyze
• Point to
Regression
• Point to Binary Logistic…
© Copyright 2000, Julia Hartman
7
Binomial Logistic Regression:
Starting the Procedure
• In the menu, click on
Analyze
• Point to
Regression
• Point to Binary Logistic…
…and click.
© Copyright 2000, Julia Hartman
8
Binomial Logistic Regression:
Selecting Variables
Choose the variables
for analysis from the
list in the variable box.
Scroll down the list,
© Copyright 2000, Julia Hartman
9
Binomial Logistic Regression:
Selecting Variables
Choose the variables
for analysis from the
list in the variable box.
Scroll down the list,
point to primcare (the
dependent variable),
which is labeled
Board Certified in FM,
© Copyright 2000, Julia Hartman
10
Binomial Logistic Regression:
Selecting Variables
Choose the variables
for analysis from the
list in the variable box.
Scroll down the list,
point to primcare (the
dependent variable),
which is labeled
Board Certified in FM,
IM, Peds or Ob-Gyn
…and click.
© Copyright 2000, Julia Hartman
11
Binomial Logistic Regression:
Selecting Variables
Move primcare to the
box labeled
Dependent by
clicking the arrow.
© Copyright 2000, Julia Hartman
12
Binomial Logistic Regression:
Selecting Variables
Scroll back up the
variable list,
© Copyright 2000, Julia Hartman
13
Binomial Logistic Regression:
Selecting Variables
Scroll back up the
variable list,
point to
MATRICULATON DATE –
YEAR [matyr]
…and click.
© Copyright 2000, Julia Hartman
14
Binomial Logistic Regression:
Selecting Variables
Move matyr to the
box labeled
Covariates by
clicking the arrow.
© Copyright 2000, Julia Hartman
15
Binomial Logistic Regression:
Selecting Variables
Point to
GENDER OF STUDENT
© Copyright 2000, Julia Hartman
16
Binomial Logistic Regression:
Selecting Variables
Point to
GENDER OF STUDENT
[gender]
…and click.
© Copyright 2000, Julia Hartman
17
Binomial Logistic Regression:
Selecting Variables
Move gender to the
box labeled
Covariates by
clicking the arrow.
© Copyright 2000, Julia Hartman
18
Binomial Logistic Regression:
Selecting Variables
Scroll down the
variable list,
© Copyright 2000, Julia Hartman
19
Binomial Logistic Regression:
Selecting Variables
Scroll down the
variable list,
point to
USMLE STEP 2 TOTAL
© Copyright 2000, Julia Hartman
20
Binomial Logistic Regression:
Selecting Variables
Scroll down the
variable list,
point to
USMLE STEP 2 TOTAL
[usmle2]
…and click.
© Copyright 2000, Julia Hartman
21
Binomial Logistic Regression:
Selecting Variables
Move usmle2 to the
box labeled
Covariates by
clicking the arrow.
© Copyright 2000, Julia Hartman
22
Binomial Logistic Regression:
Categorical Variables
To designate
gender as a
categorical
variable, click the
button labeled
Categorical.
© Copyright 2000, Julia Hartman
23
Binomial Logistic Regression:
Categorical Variables
Click gender in the box
labeled Covariates
© Copyright 2000, Julia Hartman
24
Binomial Logistic Regression:
Categorical Variables
Click gender in the box
labeled Covariates,
then click the arrow to
move it to the box
labeled Categorical
Covariates.
© Copyright 2000, Julia Hartman
25
Binomial Logistic Regression:
Categorical Variables
Click the Continue
button.
© Copyright 2000, Julia Hartman
26
Binomial Logistic Regression:
Specifying Options
Specify options
by clicking the
button labeled
Options…
© Copyright 2000, Julia Hartman
27
Binomial Logistic Regression:
Specifying Options
Click the
checkbox for
Classification plots.
© Copyright 2000, Julia Hartman
28
Binomial Logistic Regression:
Specifying Options
In SPSS, you can
display information
by right-clicking,
but right-clicking
doesn’t work in this
tutorial.
To see what would
happen, left-click
the box for Hosmer-Lemeshow goodness-of-fit.
© Copyright 2000, Julia Hartman
29
Binomial Logistic Regression:
Specifying Options
For this tutorial,
click the checkbox
for
Hosmer-Lemeshow
goodness-of-fit.
© Copyright 2000, Julia Hartman
30
Binomial Logistic Regression:
Specifying Options
Click the Continue
button.
© Copyright 2000, Julia Hartman
31
Binomial Logistic Regression:
Selecting a Method of Entry
The covariates can be
entered into the analysis
using six different
methods. This tutorial
includes the Enter and
Forward: LR methods.
Choose one of the
following:
Click the printer for an important note
about printing output with
classification plots.
© Copyright 2000, Julia Hartman
• Enter
• Forward: LR
32
Binomial Logistic Regression:
Enter Method
Enter is the default
method of entering
covariates.
Click the OK button
to run the procedure.
© Copyright 2000, Julia Hartman
33
Binomial Logistic Regression Output
Case Processing Summary
The labels and format
of your output may be
somewhat different.
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© Copyright 2000, Julia Hartman
34
Binomial Logistic Regression Output
Variable Coding
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© Copyright 2000, Julia Hartman
35
Binomial Logistic Regression Output (Enter Method)
Beginning Block: Classification Table
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© Copyright 2000, Julia Hartman
36
Binomial Logistic Regression Output (Enter Method)
Beginning Block: Variables in the Equation
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© Copyright 2000, Julia Hartman
37
Binomial Logistic Regression Output (Enter Method)
Chi-Square Tests of Coefficients
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© Copyright 2000, Julia Hartman
38
Binomial Logistic Regression Output (Enter Method)
Model Summary
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© Copyright 2000, Julia Hartman
39
Binomial Logistic Regression Output (Enter Method)
Hosmer-Lemeshow Contingency Table
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© Copyright 2000, Julia Hartman
40
Binomial Logistic Regression Output (Enter Method)
Classification Table
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© Copyright 2000, Julia Hartman
41
Binomial Logistic Regression Output (Enter Method)
Variables in the Equation
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© Copyright 2000, Julia Hartman
42
Binomial Logistic Regression Output (Enter Method)
Classification Plot
Next
© Copyright 2000, Julia Hartman
43
An Interactive Tutorial for
SPSS 10.0 for Windows©:
Binomial Logistic Regression
Choose one of the following:
• Repeat this tutorial
• Select the Forward: LR method of entry
• Return to the list of tutorials
© Copyright 2000, Julia Hartman
44
Binomial Logistic Regression:
Forward: LR Method
To select the Forward:
LR (Likelihood Ratio)
method of covariate
entry, click the dropdown arrow for
Method (next to Enter,
which is the default
method).
© Copyright 2000, Julia Hartman
45
Binomial Logistic Regression
Forward: LR Method
Point to
Forward: LR
© Copyright 2000, Julia Hartman
46
Binomial Logistic Regression
Forward: LR Method
Point to
Forward: LR
and click.
© Copyright 2000, Julia Hartman
47
Binomial Logistic Regression
Forward: LR Method
Click the OK
button to run
the procedure.
© Copyright 2000, Julia Hartman
48
Binomial Logistic Regression Output (Forward: LR Method)
Case Processing Summary
The labels and format
of your output may be
somewhat different.
Next
© Copyright 2000, Julia Hartman
49
Binomial Logistic Regression Output (Forward: LR Method)
Variable Coding
Next
© Copyright 2000, Julia Hartman
50
Binomial Logistic Regression Output (Forward: LR Method)
Beginning Block: Classification Table
Next
© Copyright 2000, Julia Hartman
51
Binomial Logistic Regression Output (Forward: LR Method)
Beginning Block: Variables in the Equation
Next
© Copyright 2000, Julia Hartman
52
Binomial Logistic Regression Output (Forward: LR Method)
Chi-Square Tests of Coefficients
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© Copyright 2000, Julia Hartman
53
Binomial Logistic Regression Output (Forward: LR Method)
Model Summary
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© Copyright 2000, Julia Hartman
54
Binomial Logistic Regression Output (Forward: LR Method)
Hosmer-Lemeshow Contingency Table
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© Copyright 2000, Julia Hartman
55
Binomial Logistic Regression Output (Forward: LR Method)
Hosmer-Lemeshow Contingency Table
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© Copyright 2000, Julia Hartman
56
Binomial Logistic Regression Output (Forward: LR Method)
Hosmer-Lemeshow Contingency Table
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© Copyright 2000, Julia Hartman
57
Binomial Logistic Regression Output (Forward: LR Method)
Classification Table
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© Copyright 2000, Julia Hartman
58
Binomial Logistic Regression Output (Forward: LR Method)
Variables in the Equation
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© Copyright 2000, Julia Hartman
59
Binomial Logistic Regression Output (Forward: LR Method)
Model if Term Removed
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60
Binomial Logistic Regression Output (Forward: LR Method)
Variables not in the Equation
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61
Binomial Logistic Regression Output (Forward: LR Method)
Classification Plot for Step 1
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© Copyright 2000, Julia Hartman
62
Binomial Logistic Regression Output (Forward: LR Method)
Classification Plot for Step 2
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© Copyright 2000, Julia Hartman
63
Binomial Logistic Regression Output (Forward: LR Method)
Classification Plot for Step 3
Next
© Copyright 2000, Julia Hartman
64
An Interactive Tutorial for
SPSS 10.0 for Windows©:
Binomial Logistic Regression
Click one of the following:
• Repeat this tutorial
• Select the Enter method of entry
• Return to the list of tutorials
© Copyright 2000, Julia Hartman
65
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
SPSS WILL CRASH if you try to print logistic
regression output which includes classification plots.
• You can avoid this problem by printing the output in
two parts. Click the
button to learn how.
• For more information, click the link below:
http://www.spss.com/tech/answer/result.cfm?tech_tan_id=100007850
Next
© Copyright 2000, Julia Hartman
66
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
The classification plot(s)
must be printed separately
from the rest of the output.
In SPSS, you would begin
by right-clicking the plot,
but right-clicking doesn’t
work in this tutorial.
Click the classification
plot.
© Copyright 2000, Julia Hartman
67
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
Right-clicking opens
the shortcut menu.
• Click SPSS Rtf
Document Object.
© Copyright 2000, Julia Hartman
68
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
Right-clicking opens
the shortcut menu.
• Click SPSS Rtf
Document Object.
• Then point to
Open
© Copyright 2000, Julia Hartman
69
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
Right-clicking opens
the shortcut menu.
• Point to
SPSS Rtf
Document Object.
• Then point to
Open
…and click
© Copyright 2000, Julia Hartman
70
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
Print the plot from
this new window.
• Click File
This output file has
been saved as
logistic (enter 3).spo
Your window will be
different.
© Copyright 2000, Julia Hartman
71
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
Print the plot from this new
window.
• Click File
• Then point to Print
© Copyright 2000, Julia Hartman
72
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
Print the plot from this new
window.
• Click File
• Then point to Print
• Click to print the plot
Of course, the plot won’t
print from this tutorial!
© Copyright 2000, Julia Hartman
73
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
Close the window.
• Click File
© Copyright 2000, Julia Hartman
74
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
Close the window.
• Click File
• Then click
Exit & Return to (the file
name--in this example)
logistic (enter 3).spo
Next
© Copyright 2000, Julia Hartman
75
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
In SPSS you would
delete the classification
plot (still selected) by
pressing the delete key,
but that won’t work in
this tutorial.
Next
© Copyright 2000, Julia Hartman
76
Binomial Logistic Regression Output (Forward: LR Method)
Printing Logistic Regression Output
Print the rest of the output
as usual, either from the
File menu or by clicking
the print button
on the toolbar.
Remember, you can’t print from
the tutorial.
Next
© Copyright 2000, Julia Hartman
77
An Interactive Tutorial for
SPSS 10.0 for Windows©:
Binomial Logistic Regression
Choose one of the following:
• Resume this tutorial
• Repeat this tutorial
• Return to the list of tutorials
© Copyright 2000, Julia Hartman
78