Question: Using SPSS, what is the result of the Shapiro-Wilk test of normality f

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Question: Using SPSS, what is the result of the Shapiro-Wilk test of normality for the dependent variable?

Using the example from Ottomanelli and colleagues (2012) study, participants were randomized to receive Supported Employment or treatment as usual. A third group, also a treatment as usual group, consisted of a nonrandomized observational group of participants. A simulated subset was selected for this example so that the computations would be small and manageable. The independent variable in this example is treatment group (Supported Employment, Treatment as Usual–Randomized, and Treatment as Usual–Observational/Not Randomized), and the dependent variable was the number of hours worked post-treatment. Supported employment refers to a type of specialized interdisciplinary vocational rehabilitation designed to help people with disabilities obtain and maintain community-based competitive employment in their chosen occupation (Bond, 2004). The null hypothesis is: “There is no difference between the treatment groups in post-treatment number of hours worked among veterans with spinal cord injuries.”

Participant Supported Employment Participant TAU observational Participant TAU Randomized 15 18 12 28 4 17 18 14 16 TAU Treatment as Usual.

Explanation / Answer

Result:

Question: Using SPSS, what is the result of the Shapiro-Wilk test of normality for the dependent variable?

Tests of Normality

Group

Kolmogorov-Smirnova

Shapiro-Wilk

Statistic

df

Sig.

Statistic

df

Sig.

Hours worked

Supported Employment

.205

5

.200*

.933

5

.618

TAU observational

.278

5

.200*

.821

5

.118

TAU Randomized

.215

5

.200*

.950

5

.740

*. This is a lower bound of the true significance.

a. Lilliefors Significance Correction

Shapiro-Wilk test P values for all the three groups are > 0.05 level. We conclude that the data follows normal distribution.

Tests of Normality

Group

Kolmogorov-Smirnova

Shapiro-Wilk

Statistic

df

Sig.

Statistic

df

Sig.

Hours worked

Supported Employment

.205

5

.200*

.933

5

.618

TAU observational

.278

5

.200*

.821

5

.118

TAU Randomized

.215

5

.200*

.950

5

.740

*. This is a lower bound of the true significance.

a. Lilliefors Significance Correction

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