unbalanced data

I'm doing a longitudinal multilevel model analysis of change to look at the impact racism has on health. My level 2 is thus individual, while my level 1 is time/wave. I'm using 5 different waves of the UKHLS and in order to include more people I decided to use an unbalanced dataset as every...

Hey all, I have a time-invariant independent variable and a continuous dependent variable. My dataset is unbalanced panel data. I already know that I cannot use the fixed effects model as my time-invariant variable would be removed. Consequently, I decided to employ a Hausman-Taylor model in...

We're trying to test whether there is a difference in length of visit (in minutes) between our original website and: Revamped Website #1 Revamped Website #2 Number of different users = 13 The difficulty comes in because the data is unbalanced. Not all users visited each version of the...

Dear all, can anyone please advice me which ANOVA is the most suitable: An athlete has perfromed multiple runs at constant speed with three different shoes. The kinematic data was analysed for different number of cycles per shoe condition. I want to compare mean cycle times between different...

Hi everyone, I have a tricky question regarding the way xtreg works. It amy also be a very simple question Using a balanced Panel Data with 10 observations per id, I want to use option if after regression command in xtreg, fe to use only observation with specific criteria. The problem is...

Hi everybody, I would like to do a mixed effects regression that is like this: ISI ~ Location + Stage + Stage*Location + 1|Patient/Chan Where Location and Stage are fixed effects, Patient and Chan are random effects and Chan is nested in Patient. Unfortunately I don't have measures...

Hello fellow R users :wave: I hope someone can help me solve this problem. I've been looking for a solution all day. I have a proportional response (% cover) variable. I have 2 explanatory factors, both with 3 or more levels: quadrats (of which there are many) and year (of which there are...

I have an experiment where several subjects (subjects={S1,S2,..Sm})were asked to perform a set of tasks (tasks={T1, T2, T3, ..Tn}) using both their left (L) and right (R) arms. Each task for each arm was repeated 'r' times. The response is measured in a variable called 'measure'. Unfortunately...

Hi All, Here is the context: a lot of texts for hypothesis testing/ANOVA first examine the cases where either the number of samples per group are the same (n1 = n2 = n3 = ...= nn) or the variances for each group are comparable (s1 = s2 = s3 =... = sn). And a lot of times, I see "Conduct the...

I have a horizontal dataset containing quarterly chargeoff data for various products. Within the dataset variables names are product specific(productA_bal, productA_chgoff, productA_net_chgoff, productB_bal, productB_chgoff, productB_net_chgoff, and so on). I have created a macro array that...