TUTORIAL SPSS : UJI LINEARITAS SPSS ‼️

Summary

In this tutorial, the speaker explains how to conduct a linearity test using IBM SPSS Version 23. The test determines if the relationship between independent and dependent variables is linear. Key concepts, including the test's significance values, are clarified, with a focus on the two main testing criteria: deviation from linearity and linearity itself. The speaker demonstrates the process step by step, showing how to interpret SPSS output and make conclusions based on significance values. The tutorial wraps up with guidance on which testing criterion to use for consistent results.

Takeaways

• 😀 The linearity test is used to determine if the relationship between independent and dependent variables is linear.
• 😀 A linear relationship can either be positive or negative, and it can be unidirectional or non-unidirectional.
• 😀 The linearity test is a prerequisite for regression analysis.
• 😀 To conduct the linearity test in SPSS, select the 'Analyze' menu, then 'Compare Means', followed by 'Means'.
• 😀 In the dialog box, input variable Y as the dependent variable and X1, X2 as the independent variables.
• 😀 Select 'Options' and check 'Test for Linearity', then proceed with 'Continue' and 'OK' to generate the SPSS output.
• 😀 The linearity test uses two criteria: deviation from linearity and linearity significance value.
• 😀 If the significance value for deviation from linearity is greater than 0.05, the test is considered fulfilled, otherwise not.
• 😀 If the significance value for linearity is less than 0.05, it indicates that the linearity test is fulfilled.
• 😀 The SPSS output reveals that the linearity test is fulfilled when the significance value for linearity is less than 0.05, and not fulfilled when it's greater.
• 😀 For variable X2 and Y, the linearity test is fulfilled because the significance value of linearity is less than 0.05, while deviation from linearity is greater than 0.05.

Q & A

What is the purpose of the linearity test?

The linearity test is used to determine if the relationship between the independent variables and the dependent variable is linear or not. A linear relationship can either be positive (unidirectional) or negative (non-unidirectional).

Why is the linearity test important in regression analysis?

The linearity test is important because it is a prerequisite for regression analysis. It ensures that the relationship between variables is suitable for regression modeling, which assumes a linear relationship.

How do you perform a linearity test using SPSS?

To perform a linearity test in SPSS, go to the 'Analyze' menu, select 'Compare Means', then choose 'Means'. Enter the dependent variable (Y) and independent variables (X1, X2) in the respective fields, select 'Options', check 'Test for Linearity', and click 'OK'.

What are the two criteria for interpreting the linearity test results in SPSS?

The two criteria for interpreting the linearity test results are 'deviation from linearity' and 'linearity'. If the significance value for 'deviation from linearity' is greater than 0.05, the test is fulfilled. If the significance value for 'linearity' is less than 0.05, the test is fulfilled.

What does a significance value of less than 0.05 indicate in the linearity test?

A significance value of less than 0.05 indicates that the linearity test has been fulfilled, meaning the relationship between the independent and dependent variables is linear.

What does a significance value of more than 0.05 indicate in the linearity test?

A significance value of more than 0.05 indicates that the linearity test has not been fulfilled, meaning the relationship between the independent and dependent variables is not linear.

In the provided example, what were the results of the linearity test for the relationship between X1 and Y?

For the relationship between X1 and Y, the linearity significance value was 0.000 (less than 0.05), indicating that the linearity test was fulfilled. However, the deviation from linearity significance value was 0.041 (also less than 0.05), meaning the test was not fulfilled according to that criterion.

What is the recommendation if you encounter conflicting results between the 'deviation from linearity' and 'linearity' test criteria?

If you encounter conflicting results, it is recommended to use just one of the criteria—either 'deviation from linearity' or 'linearity'—to avoid confusion.

What were the results of the linearity test for the relationship between X2 and Y?

For the relationship between X2 and Y, the linearity significance value was 0.000 (less than 0.05), indicating that the linearity test was fulfilled. The deviation from linearity significance value was 0.093 (greater than 0.05), but the test was still considered fulfilled.

What is the role of the 'Test for Linearity' option in SPSS?

The 'Test for Linearity' option in SPSS allows you to check if the relationship between the dependent and independent variables is linear, by performing a statistical test and providing the corresponding significance values for interpretation.