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Need help to run a mixed linear regression

  • 1.  Need help to run a mixed linear regression

    Posted Wed May 05, 2021 10:03 AM
    Hello everyone,

    I am is the process of analysing data for my master thesis and I am encountering problems to run a mixed linear regression.
    I am a beginner with SPSS statistics and despite watching many videos and reading tutorial I do not manage to apply it to my data.

    My conceptual model is the following:
    - IV: Level of Self-Esteem (continuous variable that I mean centered)
    - DV: Likelihood to complain after a negative service experience (measured on a 0-5 scale)
    - Moderator: Expression mode to complain (face-to-face or email)

    Likelihood to complain has been measured in two different situations: via Face-to-face or via email.
    I put my data in long format so each respondents has two rows with likelihood to complain in situation 1 or 2 (i actually have effect coded dummies -1 and 1 for situation 1 (face-to-face) or 2 (email) - and level of self-esteem of the respondents.

    I am trying to run an analysis to see main effect of the IV, main effect of the moderator and interaction effect (so I created an interaction term).

    I do not understand which of my variables is random effect and/or fixed effect?
    Should I also be mentioning any variable in the first window of the analysis (subjects and repeated)?

    The reason why I want to conduct a mixed linear regression is because my supervisor said so, but it is all completely new to me.

    Thank you in advance to anyone who could help me even a little bit! If I need to provide any data file please let me know.

    Ophélie M.

  • 2.  RE: Need help to run a mixed linear regression

    Posted 2 days ago

    Mrunang Rathod

  • 3.  RE: Need help to run a mixed linear regression

    Posted 2 days ago
    Here is a link (non-IBM) to a webinar that addresses fixed vs random factors in mixed models.  Maybe it will help you decide.

    There are downloadable slides as well as the recording of the webinar.