interaction effect

  1. T

    Subgroup based on baseline of dependend variable?

    Hello everybody, I am currently working on a study with heart patients. I have no data yet but am trying to write up my methodology and am currently thinking about how to do the statistics to evaluate my hypothesis. I am a bloody beginner in regards to statistic and would be thankful for any...
  2. 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...
  3. A

    formula for factorial ANOVA interaction effect

    Good day. I have a question regarding the formula for calculating interaction effects. In Andy Field book he gives: SSa×b = SSmodel − SSa − SSb, where a and b are the different factors in our model. What happens when we have 3 or more factors? Is this then: SSa×b×c = SSmodel - SSa - SSb - SSc...
  4. D

    How to interpret interaction effects when main effects are also significant

    Hi! I am currently writing my thesis, and stumbled upon a problem. I am testing an hypothesis in which I examine an interaction effect. Unfortunately, both the main effect and the interaction effects are significant (see image below). Right now I don't know what to report. So my questions are...
  5. L

    Three-way interactions with longitudinal data

    Hi there, We are trying to examine whether carrying the risk gene for Alzheimer's disease (E4), moderates the effect of a continuous predictor over time (c.RNT#c.Time), on global cognition. In other words, "does carrying (or not carrying) the E4 allele moderate the effect of RNT on global...
  6. F

    R lme4: Plotting three-way interaction / conditional coefficient plot

    Hi all, I'm trying to visualize a three-way interaction from a rather complex linear mixed model in R (lmer function from the lme4 package; the model has a complex random-effects structure). The interaction consists of two continuous variables and one categorical variable (two experimental...
  7. T

    Reporting a significant interaction

    Hi! I am struggling on how to report a significant categorical x continuous interaction, which I found using a negative binomial regression. I have posted the output from STATA below. So far, I have said something along the lines of, "there was a significant lang2 by emotdys3 interaction term...
  8. T

    One significant interaction out of many

    So I am in the process of interpreting a set of results. I conducted 6 regression analyses to determine if a variable acts as a moderator. One of the 6 interaction terms was significant. Should I attempt to rationalise this in terms of theory, or should I argue that the hypotheses were not met...
  9. F

    Which statistical model to choose?

    Hey guys, I have a few hypotheses in a randomized control trial that I would like to test: 1) Effect of a treatment on several outcome variables (some of them are continuous, some of them are dichotomous) 2) Moderating effect of commitment in the treatment on effect 1) - Commitment...
  10. F

    Interaction effect

    Hey guys, I would like to investigate effect of a treatment in randomized control trial. Also, I would like to investigate the moderating effect of motivation (of the participants who are included in the treatment group). I wanted to use a multiple linear regression with an interaction...
  11. E

    Generalized Linear Model: help interpeting interaction

    Hello! I apologise in advance if I missed it, but I couldn't find an answer in previous threads. I run a generalized linear model with 1 factor (gender) and 5 covariates. No single variable appears to have a predictive value on my VD. However, when I test for interactions, many seem to...
  12. 2

    Help interpreting an interaction in Binary Logistic Regression

    Firstly, thank you for taking the time to read my problem that I am having. The goal: interpret the direction of the interaction term. Variables: I have two continuous predictors (heart rate [HR] and pupil dilatation [PD]), predicting a dichotomous outcome (diagnosis of conduct disorder -...
  13. M

    Interpretation interaction term in glmer()

    Hi, I am using the glmer() function from the package lme4 for a mixed logistic regression model. Here, the formula is Y ~ X + Z + X:Z, where Y is the binomial outcome, X is a categorical predictor with 3 levels (X1, X2, X3, where X1 is the baseline), and Z is a continuous predictor. In the...
  14. R

    Interpretation of continuous interaction term

    Hi all, I have a question regarding the interpretation of a squared interaction term in the following model: Y=β0+β1X+ β1X^2 + β2Z+ β3 X^2Z X and Z are continuous and X is negatively related to Y whereas Z is positively related to Y. Is it true that a negative interaction...
  15. S

    Main effect vs. Interaction effect in ANOVA

    I think that a researcher is in general more likely to find a significant main effect than a significant interaction effect in ANOVA. Do you agree with me? Why?
  16. Y

    interpretation of regression coefficients in categorical*continuous interaction

    Hello, I have been struggling with the interpretation of the coefficients in my multiple regression model and I hope you can help me with that! Thanks in advance for reading the long explanation that follows and for thinking along! I have 4 predictors in my model: 1 binary categorical...
  17. L

    Multinomial Logistic Regression - Interaction Effect

    Hello there, I would appreciate it very much if someone could help. In my study, participants saw a picture of a man or woman either with or without a cigarette. So I have a 2(Male, Female) x 2(smoker, non-smoker) experimental design. The question is whether participants would choose...
  18. P

    post hoc test for 3 way anova

    Hi, I am doing ANOVA using three fixed independent factors of which one is sex (two levels 'male' and 'female'), temperature (three levels: 1,2,3) and quality (two levels: good and bad) and I want to see the effect of these factors on dependent variable factors like life-span, weight and...
  19. M

    Interaction effects in Fixed Effect Models

    Dear all, I am currently writing my Master thesis and in addition to finding a relationship, I examine whether the relationship between X and Y became stronger over time. I use a firm fixed effect model, and this is my base regression: (1) CFO_TURNOVER = α0+α1INDUSTRY SHOCK+ ΣCONTROL...
  20. M

    Interaction between binary and continuous variable in OLS

    I am trying to examine the association between maternal education and child school test scores using the following equation. TestScore = β0 + β1 EduYrMom+ β2 FemaleChild+ β3 EduYrMom * FemaleChild + εij where TestScores is the test score of the child, EduYrMom is the years of education of...