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 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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