covariates

  1. T

    Logistic regression in Stata with binomial dependent variable 3-level categorical predictor variable

    Hi, I'm doing a logistic regression analysis with a binomial outcome variable (Yes / No). My main predictor variable is categorical and has 3 levels. I'm also including categorical and continuous confounding variables as predictors. What is the best way to convert my outcome variable from...
  2. D

    Interaction in simple Repeated Measures Anova

    Dear all, I am currently struggling with my masters-thesis on the subject of control variables or covariates in a repeated measures analysis. I have a rather strait-forward 2x2 data-matrix: 2 dichotomous independent variables. (I will call them condition & treatment) 1 dependent...
  3. M

    Mediation with PROCESS Macro - Dependent variables as covariates

    Hi there! I have a model with 3 IV, 2 mediators and 2 DV. With PROCESS macro in SPSS I want to test for mediation effects. PROCESS allows only one IV and one DV per analysis. Thus, I am aware when testing indirect effects for one IV, know all other IVs should be placed as covariates. However...
  4. A

    Process Model and Covariates

    Hi all, I am having difficulty with Andrew Hayes' Process tool and my mediation model. Is it acceptable to run a mediation analysis with a continuous predictor, outcome and mediator variable, but then have dichotomous categorical variables as covariates? I am attempting to control for whether...
  5. L

    Welch ANOVA and covariates

    I had planned, because of lack of homogeneity of variance for some of my variables (homoscedasticity) to run a Welch's ANOVA and to use bootstrapping. I also have a number of covariates proposed for the (original) analysis. The Welch's ANOVA is only available for one-way ANOVA's on SPSS (no...
  6. M

    Multiple, hierarchal regression - division of p-value?

    Hey everybody! I am pretty new to this forum and also to statistics. In these days I try to analyze the data for my Bachelor thesis. I study psychology in the north of Germany. Well, my questions refer to the process and the output of my multiple, hierarchal regression. I have two...
  7. M

    Mixed model analysis

    I would greatly appreciate any help constructing a model to analyze the variation in strontium-to-carbon ratios in 204 fish otoliths (1 otolith per fish). I believe lmer is an appropriate R package, but am having difficulty implementing the model. The model includes terms to account for the...
  8. G

    setting covariates in glmer (fixed factors vs covariates)

    Hi everybody, i am a complete beginner in R, so please forgive me if I ask a stupid question. I ran an experiment on the effect of slowed speech (speech.rate; three speech rates) on syntactic structures (OS.SO.sentencetype; with a subject-first and an object-first (OS) structure) to see if...
  9. S

    Logit Model - technique to eliminate covariates

    I have a model to build that employs a reference table of 5000 standard covariates that are transformed by the intersection of that reference table with the actual data table. These are mostly CATEGORICAL covariates. Better yet, they are BINARY ("Yes","No" or 1,0). The software I use only allows...
  10. R

    Which ANOVA to use - sum of squares,model,n-way,one-way?

    Hi all, I want to analyse some data using an Anova. The data are one continuous variable (the thing I was measuring) and one categorical variable (the 4 different group numbers), I also have 3 more continuous data which I want to test for effects on my dependent variable. I really just want to...
  11. T

    Covariate imbalance and restricted randomization

    Dear all, I'm involved in a cluster-randomized clinical trial with 20 clusters and 2 treatment arms, intervention and control. We would like to perform restricted randomization on the 20 clusters eliminating all randomization schemes that do not have exactly 10 clusters each assigned to either...