Hi,
I'm hoping someone with expertise with MLM/HLM etc might be able to help me. I recently conducted a transmission chain study looking at the impact of mood on production. The study involved participants reading a story and reproducing this story for another person. The second person read the first person's story and reproduced it for a third person and so on until 4 person transmission chains were formed (much like a game of chinese whispers). Half my chains were exposed to a positive mood induction prior to completing the task and half were exposed to a negative mood induction. What I am primarily interested in is the number of positive and negative statements produced by people in the chains. So my model has three levels - person, which is nested within chain, which is nested within mood induction condition. I know I can run this model using MLM. My first question is: Is mood a fixed effect here, as each person within a chain experienced the same mood induction?
The second question I have is more complex. I also took a measure of trait anxiety for each participant. So, within any given chain the trait anxiety of each participant will be different to that of the other members of that chain. I'm interested in the effect of trait anxiety on production and also if this interacts with mood. The hypothesis being that individuals with higher trait anxiety will produce fewer positive/more negative statements under the negative mood induction condition. The question is: is it possible to enter trait anxiety into the model? If so, would this be considered a random effect?
I would greatly appreciate any help with this problem.
Regards,
Keely
I'm hoping someone with expertise with MLM/HLM etc might be able to help me. I recently conducted a transmission chain study looking at the impact of mood on production. The study involved participants reading a story and reproducing this story for another person. The second person read the first person's story and reproduced it for a third person and so on until 4 person transmission chains were formed (much like a game of chinese whispers). Half my chains were exposed to a positive mood induction prior to completing the task and half were exposed to a negative mood induction. What I am primarily interested in is the number of positive and negative statements produced by people in the chains. So my model has three levels - person, which is nested within chain, which is nested within mood induction condition. I know I can run this model using MLM. My first question is: Is mood a fixed effect here, as each person within a chain experienced the same mood induction?
The second question I have is more complex. I also took a measure of trait anxiety for each participant. So, within any given chain the trait anxiety of each participant will be different to that of the other members of that chain. I'm interested in the effect of trait anxiety on production and also if this interacts with mood. The hypothesis being that individuals with higher trait anxiety will produce fewer positive/more negative statements under the negative mood induction condition. The question is: is it possible to enter trait anxiety into the model? If so, would this be considered a random effect?
I would greatly appreciate any help with this problem.
Regards,
Keely