mixed-model

Hi guys, 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 factors and...

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! Background: 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...