Advance Biostats SPSS (Two-Way ANOVA) Use Tukey

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WK3Part.3_PracticeStep-by-StepGuide.doc

Part 3

Step-by-Step Guide Assignment Problem 3.3

2-Way ANOVA

Problem 3. Discuss whether the assumptions of homogeneity of variance of the groups and normality of the data on Exercise are met. Be sure to include output to support your decision on whether the assumptions have been met. (Continue with the analyses even if assumptions are not met.)

Review:

Homogeneity of variance means that the variance about the means is equal among the independent variables.

Normality means that the data for each level of the independent variables are normally distributed.

Step 1. Open the SPSS Practice data set if you have closed it.

Step 2. Go to Analyze(Descriptive Statistics(Explore

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Step 3. In Explore window, place Steps per month [EXERCISE] in the Dependent List. Place Education level [EDUC] and Sex [SEX] in the Factor List. Click on Plots…

image2.png

Step 4. Select None in Boxplots, check Normality plots with tests, and select Power estimation in Spread vs Level with Levene’s Test. Click Continue.

image3.png

Step 5. In the Explore window, make sure Both is selected in Display then click OK.

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Step 6. Locate and examine the Test of Homogeneity of Variance for SEX and EDUC in the Output:

SEX:

Test of Homogeneity of Variance

Levene Statistic

df1

df2

Sig.

Steps per month

Based on Mean

5.328

1

98

.023

Based on Median

3.932

1

98

.050

Based on Median and with adjusted df

3.932

1

87.549

.051

Based on trimmed mean

4.938

1

98

.029

EDUC

Test of Homogeneity of Variance

Levene Statistic

df1

df2

Sig.

Steps per month

Based on Mean

2.072

2

97

.131

Based on Median

1.748

2

97

.180

Based on Median and with adjusted df

1.748

2

89.800

.180

Based on trimmed mean

1.978

2

97

.144

Step 7. Locate and examine the Tests of Normality tables for both Sex and Education level:

SEX

Tests of Normality

Sex

Kolmogorov-Smirnova

Shapiro-Wilk

Statistic

df

Sig.

Statistic

df

Sig.

Steps per month

Male

.130

49

.038

.915

49

.002

Female

.139

51

.015

.929

51

.005

a. Lilliefors Significance Correction

EDUC

Tests of Normality

Education level

Kolmogorov-Smirnova

Shapiro-Wilk

Statistic

df

Sig.

Statistic

df

Sig.

Steps per month

No or some high school

.181

16

.170

.895

16

.066

High school diploma

.222

31

.000

.872

31

.002

College Degree

.115

53

.076

.932

53

.005

a. Lilliefors Significance Correction

Discussion:

Your discussion must cover issues such as

1. Meaning of the test for homogeneity

2. Which variables meet the assumptions for the test

3. Meaning of the test for normality

4. Which variables are normally distributed and why