categorical variables

  1. A

    What statistical test do I need to use for a moderator variable?

    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...
  2. D

    HLM - non-linear IV and placement of individual characteristics in the model

    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...
  3. J

    Comparing groups - which test should I use - two categorical variables

    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
  4. K

    R Commander: "Frequency distributions" is greyed / grayed out?

    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? --------------------------------------...
  5. Y

    Paired analysis/ Stuart-Maxwell test

    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...
  6. I

    Setting an experiment with ordered categories as predictors

    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...
  7. A

    Comparing categorical outcome variables in repeated measures design

    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...
  8. A

    Comparing proportion between categorical outcome variables, repeated measures design

    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...
  9. C

    Dfbeta for categorical/dummy variables

    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...
  10. C

    [Stata - Regression with categorical variables correlated] Multicollinearity

    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...
  11. S

    Help with categorical interaction terms in Poisson model

    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...
  12. F

    Grouping Categorical Variables in Regression differently in Main vs Interactions

    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...
  13. J

    Help Hierarchial Cluster Analysis & Categorical data

    :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)...
  14. O

    How to deal with a categorical response and continuous and categorical predictors?

    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...
  15. Y

    Logistic regression or GLM?

    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...