I am running a linear mixed model in SPSS. My research question is: Does a reward-related personality trait at baseline predict weight gain in adolescence?
That's my design:
longitudinal data (w1,w2,w3,w4,w5)
dependent variable: bmi measured at the 5 time points
I conducted a study with two crossed within-subjects factors. 44 subjects used a single interface for 6 rounds. Each round contained 3 trials, each with a different memory task condition (3 conditions in random order). So this makes a 3x6 design. There are generally large individual differences...
Hi there. I'm an inexperienced an entirely self-taught statistician fighting a huge deadline. I'd be most grateful for advice!
I've been working on fitting an HLM model that explores the spatial relationships between crime and socio-economic factors such as deprivation scores...
I have practically no experience with longitudinal data, and really need your help.
I am looking at a sample of firms in a certain industry, and trying to determine whether ownership (foreign or domestic) is a significant predictor of productivity, when controlling for a number of firm-level...
I have conducted a regression analysis that yields a significant 4-way interaction between:
2 dichotomous within-subjects variables
2 continuous variables
(also controlling for a number of other variables)
Any advice on how to unpack this result in R or SPSS?
Here is a little more info...