KIN
610/Statistics
(Spring 2001/Dr. Ann
Maliszewski)
When using SPSS, you
might these hints helpful.
- To
create a new data set, go to FILE and select NEW and DATA.
- To
identify the variables, double-click at the top of the column.
From there you can enter the variable name, type and the number of
decimals you want included.
- Once
your data are entered, you can select the appropriate statistical analysis
under the menu selection ANALYZE. The
selections are pretty obvious with the exception of the repeated measures
ANOVA, which is located under GENERAL LINEAR MODEL.
STEPS FOR REPEATED MEASURES ANOVA
- ANALYZE
- GENERAL
LINEAR MODEL- REPEATED MEASURES
- Enter
and ADD number of LEVELS within the FACTOR (e.g., gender would have 2
levels: male and female).
- DEFINE
- MOVE
variables being compared by highlighting and hitting the ARROW.
- Select
CONTRASTS at the bottom of the display and select REPEATED.
- Hit
CHANGE and CONTINUE
- OPTIONS:
select DESCRIPTIVE if you want the descriptive statistics.
CONTINUE.
- OK
to get the output.
- There
are many options within each of the tests. Only select the ones you are familiar with in order to
avoid excess output.
Data
Lay-out:
One-way ANOVA and Unpaired/Independent t-tests:
First column is the independent variable (grouping factor).
Second column is the dependent variable data
Remember that a one-way ANOVA is like a factorial analysis,
with only one factor.
GROUPING
|
DATA
(DEPENDENT VARIABLE)
|
1
|
X1
|
1
|
X2
|
1
|
X3
|
2
|
X4
|
2
|
X5
|
2
|
X6
|
-
|
Xn
|
REANOVA and Paired/Dependent t-tests:
Each column of data represents one condition.
For comparing 5 different conditions or treatments applied to the same
group of individuals, the following lay-out would be used.
CONDITION
1
|
CONDITION
2
|
CONDITION
3
|
CONDITION
4
|
CONDITION
5
|
XA1
|
XA2
|
XA3
|
XA4
|
XA5
|
XB1
|
XB2
|
XB3
|
XB4
|
XB5
|
Xn1
|
Xn2
|
Xn3
|
Xn4
|
Xn5
|
Where X is the score for A (individual ID) and 1
(condition).
CORRELATION/ REGRESSION:
The lay-out for bivariate analysis should appear like this:
X
variable
|
Y
variable
|
X1
|
Y1
|
X2
|
Y2
|
X3
|
Y3
|
Xn
|
Yn
|
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