general linear model

  1. S

    ¿Any suggestions? GLM, HLM, MLM Problem

    I'm new to Multilevel modeling and currently I been working on a business project and its data is related to multilevel modeling. I know a lot of things about how to approach this problem, but I will do my reasoning so you can tell me if it is ok or wrong. So I need a mind that know this type of...
  2. D

    Interpret GLM model in test of difference in proportions

    I'm facing the following situation: We conducted a marketing campaign with three groups: 2 test vs 1 of control, where two different type of coupons sent to the two test groups, 3 euros vs. 6 euros. I understand that the best way to test the difference in proportion is a GLM model with binomial...
  3. W

    General and generalised linear models

    Hi, I've done a few GLM's with poisson distribution, the code I've used is name<-glm(dependentvariable~independent+independent+independent,family=poisson,data=datset) for some the dependent variable is non-normally distributed so I believe I need to use a generalised linear model. But...
  4. M

    Association between categorical and numerical variables using R

    Hi, I am new to this forum so please be kind :-). Not sure if this belongs in 'R'. I will describe my problem as good as I can. First of all I am using R commander for my Master Thesis. My Thesis is to identify if there is an association between one predicting variable (categorical 'less...
  5. C

    One response variable and multiple explanatory variables (numeric and factor values)

    Hello everyone, I am a master student in Biology. I am now trying to analyse my thesis data, but I am facing a problem: I do not understand which test I should use for my large dataset containing one response variable and multiple explanatory variables (factor and numeric values!). Please...
  6. H

    Transform data for factorial two-way ANOVA/General Linear Model??

    Hi, I'm not very statistically minded but I would really appreciate some guidance. I am needing to do several stat tests for my MSc dissertation. I have one dependent variable (species count) and one independent variable (year), but two species. I have constructed a basic count against year...
  7. D

    General Linear Model using proportions as raw data - transformation needed?

    Hi, I have become confused in my reading of analysis of proportions. I was all set to analyse my data using a general linear model after transforming the proportions using an arcsine-square root transformation, but now I'm not sure if this is a correct approach and more importantly why/why...
  8. R

    Different p-values with different procedures

    Fairly novice in statistics, so this will surely have a simple explanation. I ran bivariate analyses to check for normality of a series of variables and also to test the relationship of each with two outcome variables (one binary the other continuous). In the bivariate analyses (using either...
  9. M

    ANCOVA violating assumptions

    Hi, The data I'm looking to analyse is vigilance data from monkeys. I need to investigate which factors affect the different types of vigilance. The first category I'm looking to investigate is "no vigilance" and therefore this is my dependent variable. This data includes a fair few 0's...