I tried to perform a Fixed Effect Test (Analyze > GLM > Repeated Measures), but I couldn't do it correctly. When specifying the Within-Subject Factor Name, I entered 'Scenario' and '7 levels' because I have 7 scenarios. However, for the next step I couldn't link each scenario with my dependent variable afterward.
Because my dependent variables are ordinal, I had considered the GLM with the "Ordinal Logistic" option (Analyze > Generalized Linear Model > then in "Type of Model" clicking on "Ordinal Logistic"), but I'm unsure if this test accounts for the Within Subject design and that allow me to control for individual heterogeneity. Do you have any suggestions?
However, when I go to Analyze > General Linear Model > Univariate --> I can test for the robust standard error when adding all my independent variables + control variables ( however ; I dont know if it's equivalent to the clustered standard error ? )
Original Message:
Sent: Fri May 31, 2024 07:26 AM
From: Anteneh Yimer
Subject: CLUSTERED STANDARD ERROR
To perform a multiple linear regression with clustered standard errors in SPSS, you will need to follow these steps:
Reshape Your Data: Since your data involves repeated measures (each participant responding to multiple scenarios), you will need to reshape your data into a long format where each row represents a scenario response for a participant.
Run the Linear Regression:
Go to Analyze > Regression > Linear.
Select your dependent variables (motivation, satisfaction, collaboration, and help) and independent variables (scenarios).
Add your control variables (gender, age, and status) as covariates.
Account for Clustered Standard Errors:
SPSS does not directly support clustered standard errors in the traditional linear regression menu.
One approach is to use the Complex Samples module if you have access to it. You can specify clusters to account for individual heterogeneity.
Alternatively, consider using a more advanced statistical software like R or Stata for this specific requirement, as they offer more straightforward methods for clustered standard errors.
Here's a basic outline to get you started. If you need detailed instructions for any of these steps, please let me know!
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Anteneh Yimer
Original Message:
Sent: Thu May 30, 2024 03:02 PM
From: Emma Iannello
Subject: CLUSTERED STANDARD ERROR
Dear All,
I need your help :)
For my thesis, I've done an experiment and I need to analyze it on SPSS.
Specifically, I have 112 participants who had to read 7 different scenarios, and after reading the scenario, they had to indicate their degree of agreement on an ascetic scale with five different statements that were intended to measure my dependent variables. The aim is to analyze how the different scenarios impact the dependent variables.
independent variables: scenario 1, scenario 2, scenario 3, scenario 4, scenario 5, scenario 6, and scenario 7
dependent variables: motivation, satisfaction, collaboration and help.
control varibale : gender( male, female ), age and status ( employed, unemployed, student , self-employed, retired, other )
My supervisor advised me to do a multiple linear regression that took into account the clustered standard error ( in order to control for individual heterogeneity). He explained that this would take into account my design within subject.
Unfortunately, I'm a beginner in statistics and this is the first time I've used Spss, so I can't figure out how I could permofer a test that would take clustered standard error into account.
Could you please help me and explain how to do it on spss?
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Emma Iannello
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