categorical predictors

  1. M

    Binomial logistic regression linearity assumption with categorical variables ?

    I am trying to run a binomial logistic regression, and would like to check the linearity assumption. However all the resources I'm reading discuss the procedure for continuous variables, and I am only working with ordinal/categorical predictors. Can someone take me through it step by step, or...
  2. 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...
  3. K

    Mediate macro output categorical IV

    Hi, I've come across similar threats but none have been answered unfortunately. For my bachelor thesis I have performed a regression analysis having coded my categorical IV into two dummies. Mediator and DV are both continuous. Only one of my IV conditions relates significantly to my...
  4. K

    Sobel test categorical IV (3 categories)

    Hi, I've come across similar threats but none have been answered unfortunately. For my bachelor thesis I have performed a regression analysis having coded my categorical IV into two dummies. Mediator and DV are both continuous. Only one of my IV conditions relates significantly to my mediator...
  5. S

    Calculate values for all permutations of categorical variables

    Hi all, So my particular approach may be completely wrong, so let me provide a high level goal first: The data I'm working with is visitor demographic features with a score. Currently I am using 14 demographic features, each with up to 5 levels. I want determine which partition of...
  6. N

    Help in categorizing data

    Hi, I am working on my dissertation and am stuck with the data analysis. :confused: I am dealing with 4 variables, all of which are categorical variables. The unit of my data analysis is a dyad while the unit of data collection is an individual. All the variables are measured on an ordinal...
  7. S

    Binary Logistic Regression with categorical predictors and interactions.

    I'm new to logistic regression and the project I'm working on requires a model that involves two predictors: Experimental condition (categorical variable with 8 categories) Score on a measure (continuous variable) So, one categorical predictor and one continuous predictor. But, these two...