How to Levene's Statistic Test of Homogeneity of Variance Using SPSS
How to Levene's Statistic Test of Homogeneity of Variance Using SPSS | Homogeny has the same meaning as type, same nature, same character, and so on. In homogeneity test research is used to determine whether or not there are similarities in the variance of a data group. Homogeneity tests are often found in parametric statistical analysis such as independent sample t test and ANOVA test.
Case Example of Levene's Statistic Test of Homogeneity of Variance
A researcher wants to know whether the sales average for both Samsung and Lenovo mobile phone brands is Homogeny or not Homogeny. The Selling data for Samsung and Lenovo mobile phones are shown in the following data.
[Download Complete Data]
Step by Step Levene's Statistic Test of Homogeneity of Variance Using SPSS
1. Open the new SPSS worksheet, then click Variable View to fill in the name and research variable property. The provisions are as follows:
Variable "Brand" then fill in:
Name: write Brand
Type: select Numeric
Width: select 8
Decimals: select 0
Label: type Brand mobile phone
Values: click the small box to the right of the Values cell, the "Value Labels" dialog box will appear as follows
Conditions for filling in data:
Value: write 1
Label: write Samsung
Click Add
Value: write 2
Label: write Lenovo
Click Add
Click OK
Missing: select None
Columns: select 8
Align: select Right
Measure: Select Scale
Role: Select Input
"Selling" variable then fill in:
Name: write Selling
Type: select Numeric
Width: select 8
Decimals: select 0
Label: type Selling
Values: select None
Missing: select None
Columns: select 8
Align: select Right
Measure: Select Scale
Role: Select Input
Then the screen will look like the following picture.
2. Next click Data View, then enter Brand and Selling data in accordance with the available columns
3. From the SPSS menu click Analyze - Descriptive Statistics - Explore ...
4. Then the "Explore" dialog box appears, then enter the Selling [Selling] variable into the Dependent List box, then enter the Brand mobile phone [Brand] variable into the Factor List box, in the "Display" section, select Both, then click Plots ...
5. Then the "Explore: Plots" dialog box will appear, in the "Spread vs. Level with Levene Test" section, select Power estimation, then click Continue
6. Then click Ok to end the command. Then the SPSS output appears. Note the third output, namely in the table "Test of Homogeneity of Variance"
Levene's Test of Homogeneity Decision Making Guidelines
Interpretation of Levene's Statistic Test of Homogeneity
Based on the SPSS output in the Test of Homogeneity of Variance table above, the value Based on Mean Sig is 0.141 > 0.05. Thus, it can be concluded that the variance of sales data for Samsung and Lenovo mobile phone brands is Homogeny.
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Case Example of Levene's Statistic Test of Homogeneity of Variance
A researcher wants to know whether the sales average for both Samsung and Lenovo mobile phone brands is Homogeny or not Homogeny. The Selling data for Samsung and Lenovo mobile phones are shown in the following data.
[Download Complete Data]
Step by Step Levene's Statistic Test of Homogeneity of Variance Using SPSS
1. Open the new SPSS worksheet, then click Variable View to fill in the name and research variable property. The provisions are as follows:
Variable "Brand" then fill in:
Name: write Brand
Type: select Numeric
Width: select 8
Decimals: select 0
Label: type Brand mobile phone
Values: click the small box to the right of the Values cell, the "Value Labels" dialog box will appear as follows
Conditions for filling in data:
Value: write 1
Label: write Samsung
Click Add
Value: write 2
Label: write Lenovo
Click Add
Click OK
Missing: select None
Columns: select 8
Align: select Right
Measure: Select Scale
Role: Select Input
"Selling" variable then fill in:
Name: write Selling
Type: select Numeric
Width: select 8
Decimals: select 0
Label: type Selling
Values: select None
Missing: select None
Columns: select 8
Align: select Right
Measure: Select Scale
Role: Select Input
Then the screen will look like the following picture.
2. Next click Data View, then enter Brand and Selling data in accordance with the available columns
3. From the SPSS menu click Analyze - Descriptive Statistics - Explore ...
4. Then the "Explore" dialog box appears, then enter the Selling [Selling] variable into the Dependent List box, then enter the Brand mobile phone [Brand] variable into the Factor List box, in the "Display" section, select Both, then click Plots ...
5. Then the "Explore: Plots" dialog box will appear, in the "Spread vs. Level with Levene Test" section, select Power estimation, then click Continue
6. Then click Ok to end the command. Then the SPSS output appears. Note the third output, namely in the table "Test of Homogeneity of Variance"
Levene's Test of Homogeneity Decision Making Guidelines
- If the value is Based on Mean Sig. > 0.05, the data variance is Homogeny
- If the value Based on Mean Sig. <0.05, the data variance is not Homogeny
Interpretation of Levene's Statistic Test of Homogeneity
Based on the SPSS output in the Test of Homogeneity of Variance table above, the value Based on Mean Sig is 0.141 > 0.05. Thus, it can be concluded that the variance of sales data for Samsung and Lenovo mobile phone brands is Homogeny.
~~~ Thank you ~~~
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Very very helpful site. I hope that there will be examples and interpretation of ANOVA test in future.
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