Chapter 10
Module 2For self study: Running Tests in SPSS
Assignment 10.3Assignment 3
In the study by Ilonka (Ilonka.sav), you will find two variables pertaining to exposure to television: the number of days per week, and the number of hours per day. Examine this variable’s distribution, using the Kolmogorov Smirnov test. Interpret the results.
Maybe you wondered how to conduct this task. You might have concluded from the example in Chapter 10 that you need to enter an independent variable (under Factor List). But in fact, this is not necessary. You can enter the dialogue box as follows:
This will result in the following output:
| Tests of Normality | ||||||
|---|---|---|---|---|---|---|
| Kolmogorov-Smirnov a | Shapiro-Wilk | |||||
| Statistic | df | Sig. | Statistic | df | Sig. | |
| Number of days per week television watching | .427 | 262 | .000 | .598 | 262 | .000 |
| Number of hours per day | .186 | 262 | .000 | .921 | 262 | .000 |
Lilliefors Significance Correction.
These results are relevant for the entire sample. Since the p-values of the Kolmogorov-Smirnov tests are highly significant fir both variables, we can assume that the data are not normally distributed