jazminrice
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- Mar 6, 2024
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Hello,
I have concluded data collection for my first study and I am stuck with data collection at the moment.
I am looking into the working mechanisms of mindfulness and have explored two hypothesis:
1. Moderation Hypothesis: Mindfulness moderates the relationship between stress and work place outcomes.
2. Mediation Hypothesis: The relationship between mindfulness and workplace outcomes is mediated by psychological capital.
My measured workplace outcomes are: burnout, turnover intentions, job satisfaction and work engagement.
I have run moderator and mediation analysis in SPSS using Hayes process macro.
10 models in total, a mediation and a moderation for each of the 5 outcomes
I have found significant results and no issues came up.
Now my supervisor suggested trying out SEM to put all variables into one model.
I am a bit hesitant about this - mainly because of its difficulty and the fact that I am running out of time with my publications.
What are your opinions on this? Is SEM necessary or can I stick with two separate analyses - since I am testing two separate hypotheses, I thought it would make sense..
Any comments, opinions or suggestions will be highly appreciated!
Thank you!
I have concluded data collection for my first study and I am stuck with data collection at the moment.
I am looking into the working mechanisms of mindfulness and have explored two hypothesis:
1. Moderation Hypothesis: Mindfulness moderates the relationship between stress and work place outcomes.
2. Mediation Hypothesis: The relationship between mindfulness and workplace outcomes is mediated by psychological capital.
My measured workplace outcomes are: burnout, turnover intentions, job satisfaction and work engagement.
I have run moderator and mediation analysis in SPSS using Hayes process macro.
10 models in total, a mediation and a moderation for each of the 5 outcomes
I have found significant results and no issues came up.
Now my supervisor suggested trying out SEM to put all variables into one model.
I am a bit hesitant about this - mainly because of its difficulty and the fact that I am running out of time with my publications.
What are your opinions on this? Is SEM necessary or can I stick with two separate analyses - since I am testing two separate hypotheses, I thought it would make sense..
Any comments, opinions or suggestions will be highly appreciated!
Thank you!