categorical variables

For my study, I'm trying to test whether a variable acts as a moderator between the relationship of two other variables. I read that I should use moderational multiple regression with an interaction effect. However, I heard you can only use it if the moderator variable has 2 categories/ is...

Hi all! I am working on my dissertation and run across a couple of questions when structuring HLM model. The data looks as follows: I conducted an experiment among 300 participants with 2x3 design, where each individual was assigned to one of the two conditions and within condition answered to...

Hello, I have two groups (control and a test group) and I want to test if the gender distribution is the same in both groups. So I want know that there is no significant difference in gender distribution between the two groups. Which test should I use? Thanks a lot

My data set mostly contains categorical variables, but they're all coded as numbers (e.g., male = 0, female = 0, etc.). In the menu, the following is greyed out: Statistics>Summaries>"Frequency distributions" What gives? And how can I skirt around this? --------------------------------------...

Hi everyone, I am performing a paired analysis, cases paired with controls, with each individual having a status of current,former or never. I initially performed the Stuart-Maxwell test to determine if there was a significant difference between the proportions of possible paired statuses...

I am trying to apply a multi-factorial regression analyses on a model with 4 different predictors each of which can have four different weights as levels: 0.1, 0.2, 0.3, 0.4. I run 24 different samples applying permutations of these levels for the four predictors. predictor 1 : four...

I am working on an observational prospective longitudinal study with a repeated measures design. The same categorical outcome is measured for five times, for all the participants, over a time period. So there are five outcome (dependent) variables and a few predictor variables. First of all, I...

I am working on an observational prospective longitudinal study with a repeated measures design. The same categorical outcome is measured for five times, for all the participants, over a time period. So there are five outcome (dependent) variables and a few predictor variables. First of all, I...

Hello :) In my regression analysis (in Stata), I'm generating dfbetas. Can we take into account dfbeta of categorical or dummy variables higher than 1? I think it is weird to think that one observation has a lot of influence on the regression coefficient while it's value for that variable...

Hello! I'm currently working on my thesis and I have a problem. I'm doing a regression where many variables are categorical ones (profession, neighbourhood, religion, etc). In my regression, I've already omit one category for each categorical variable (which is needed to avoid...

Thanks in advance for any assistance you have to offer. I'm working with a Poisson model of weighted survey data. My outcome is ACCESS to a weapon (0/1). I have several predictors, including GENDER (0 female /1 male) and a RISK category (0 = no mental health risk factors / 1 = intermediate...

All, I have a very peculiar problem that I am trying to solve. What I mean is, the following is an explanation of the current solution that has been implemented in our group. I am not 100% sure that, in-fact - this is a Statistically valid approach.So, here it goes. Subject Domain - Auto...

:confused: Hi, I am trying to cluster my variables which are all the letters of the alphabet by the observations of many participants in a lipreading experiment. I used cosine method as it detects patterns, and I transformed the reponses from letters to numbers to input in SPSS (A=1, B=2 ect)...

Hi all, I have a large dataset of categorical and continuous variables, the observations are animal species. I want to test which variables are more influent in determining a categorical variables with 3 levels. So I have a categorical response variable (3 levels) and many possible predictors...

Hi everyone: I have a question about using logistic regression or GLM with only categorical variables as independent variables. The dependent variable y is shown as binary coded data where 1=males and 0=females. Each corresponding to an excrement. The independent variables are as follows...