interaction terms

  1. P

    Power analysis for 3-way interaction with 1 between-, 2 within-subjects factors

    Hi all, I am trying to use G*Power 4 to compute the sample size that I will need to detect a 3-way interaction (2 x 2 x 2) in a mixed-effect ANOVA with 2 repeated-measures factors and 1 between groups factor. Do I just add the two levels of the second repeated-measures factor to the...
  2. kiton

    Correcting for endogeneity a panel count model with interactions using IV approach

    Hello dear forum members, My study examines the impact of online (a) reputational status, and (b) reviews on physicians’ performance, as proxied with new patient referrals (non-negative over-dispersed counts). In case of (a), to address the issue of endogeneity in the reputational status...
  3. D

    Fisher test or interaction terms to determine if 2 groups are different

    Hi, I split my sample in 2 groups, participants with condition +M and participants without the condition -M. I calculated correlations and beta coeff( regression by group) so what is the better way to see if these 2 groups differ significantly? the Fischer test for correlations or...
  4. G

    Regression Using Interaction Terms - PANEL DATA

    Good afternoon, I am working with a panel data with more than 2000 observations and only two years. My topic is on "Full Risk Insurance" in rural households within a village. Thus, my regression is as follows: log_Individual_Consumption = log_Individual_Income +...
  5. C

    Interaction terms in regression-theory

    I am learning categorical variables and interaction terms in the regression course and there few things I don't understand. Suppose a salary data set with predictors experience X in years Education coded 1 for diploma , 2 for degree, 3 for higher degree Management M coded as 1 for a...
  6. R

    Interaction Terms: Logistic Regression

    Dear forum, trying again... I would really like some advice on the proper construction and interpretation of a small experiment and analysis using Logistic Regression. I had a sample of 50 people evaluate three different products (X1) and generate a score (X2). Then they indicated how...
  7. A

    Ploting marginal effect of a continuous variable interacting with a spline.

    Dear Talk Stats users, Before going to the core of my problem, let me sum up what I've been doing and Why. I am interested in the potential long term effect of bad economic conditions when young graduates enter the labor market on the selection into public sector in France. Thereby, I built...
  8. K

    Plotting results of regression with interaction terms

    This is tangentially R-related, but mostly about presenting results of a regression including interaction terms. My ultimate objective is to produce a coefficient plot representing differential associations between a set of predictors and responses for two groups. To this point, as an...
  9. B

    mutliple interactions in same equation

    Hi Folks, I am reviewing a manuscript that uses four interactions in the same equation, and i am wondering if authors need to include higher order terms. Here is their basic additive model (with other predictors dropped for simplicity): y= a + x1 + x2 + x3 + x4 They are testing for...
  10. E

    Variance inflation and interactions between variables?

    Hello everyone I am having trouble interpreting some of my results. I am using logistic regression to infer a model based on measured data. Some of my explanatory variables are continuous (e.g. temperature [°C]) and some are categorical (e.g. time of day [night, morning, day, afternoon...
  11. K

    Interpreting confidence bands on interaction terms

    Dear all, I have a model with three variables a dependent (dep), a binary independent variable (bin) and a contin. independent variable (con). I am basically interested in whether the effect of con on dep is heterogeneous with respect to bin. I regress...
  12. Y

    Use of regression models with centered variables

    Hi all, I'm a little confused about how to use a regression model with centered variables. I know how centering variables works for reducing multicollearity and easier interpretation especially when there are interaction terms. However, after a model was built with centered variables...