Questions tagged [interaction]
A situation where the effect of an explanatory variable may depend on the value of another explanatory variable.
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Multiple regression: Interpreting three-way interaction with two categorical variables and one numeric (in R)
I have two quick questions. I’d like to confirm that I’m interpreting correctly one of my coefficients from a 3-way interaction in a multiple linear regression model. The summary of my model is below. ...
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Different ways of modelling interactions between continuous and categorical predictors in GAM
The following question builds on the discussion found on this page.
Given a response variable y, a continuous explanatory variable ...
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3 views
interaction term between continuous moderator and independent dummy variable (in OLS)
i would like to check if there is an interaction between the independent contiunous variable leverage and the choice of auditor - dummy variable (audited by big4: 1). The dependent variable is ...
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8 views
Interpretation of model with interaction quotient
I am unsure about the interpretation of $\beta_1$ in the binary choice model
$$Y=𝟙[\beta_0+\beta_1V+\beta_2\frac{V}{C}+\varepsilon>0].$$
Because I know that $V$ and $C$ are uncorrelated, I do ...
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6 views
Interaction analysis with categorical predictor and continuous moderator (and continuous outcome)
I'm working on a study in which I collect the following variables (among others), with which I would like to conduct a moderation analysis in R.
condition (categorical, 2 levels) - predictor
trait ...
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Can a complex interaction term mean more than what it's composed of?
I'm cross-posting this question on both Economics and Cross Validated to get answers from a different perspective on each field. It is generally accepted to cross-post if the question is tailored to ...
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5 views
Visualise: Interactions with Two Categorical Variables controlled for a continous variable
What is the best way to visualise an interaction between two categorial variables controlled for a third continous variable.
e.g.
...
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Moderated mediation included in a bigger path diagram
I want to specify a path diagram with 7 (observed) variables. It includes the following two relationships:
b ~ a; c ~ a+b.
Analyzing these three variables separately, it is possible to define a ...
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1answer
25 views
Is the significance of an interaction more important that the fit of a model?
I am new to lme4 and I am not sure if I understand correctly. If I want to know if there is an interaction between A and B, I have to write two models and then compare them with anova and the one with ...
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11 views
Conditional sorts as an alternative for regression models
I have the following regression model
R=a+bX+cZX
where R is the return and X is a control variable and Z is the variable of interest.
As an alternative approach to the use OLS, often conditional ...
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5 views
LMM estimates and effect plots don't match
I have a cubic model with interaction terms between continuous predictors, of the form:
...
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9 views
Does an Interaction term **always** require “lesser order” term in the model? [duplicate]
Assuming a simple Linear model:
$$\hat y = b_0 + b_1.x_1 + b_2.x_2$$
Where all coefficients are relevant to the model (p-value < $\alpha$).
Then adding the interaction term:
$$\hat y = b_0 + b_1....
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Two models or one? Significant effect of predictor - in two treatments
Say you have a response variable that you suspect is linearly affected by your predictor variable, but only under treatment A and not treatment B.
I was tempted to model this as a linear model using ...
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3answers
73 views
Can I remove significant interaction variable in regression model?
I have a regression model, which consists of 4 predictors and 1 interaction - i dont know what are the correct symbols and terms, so I will drop my model here:
...
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10 views
How do I address suppression (sign flipping) in a moderated mediation?
I am using the PROCESS macro (model 7) to examine a moderated mediation and ran into a new problem.
Bivariate correlations show X is positively correlated with Mediator, but not with Moderator.
...
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21 views
How to measure the amount of confounding in tensor interaction in GAMs?
I am interested in fitting an additive model with tensor interaction terms. This construction is described in Wood (2006) and used in the mgcv ...
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13 views
Three-way interaction: slope difference test if simple slope is insignificant
I am currently conducting a three-way interaction (linear OLS regression) with three continuous variables. My dependent variable is also continuous.
The three-way interaction term is significant (yes,...
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14 views
Interpreting the relationship between my instrumented variable (X1), X2, and Y (IV regression)
I have run an IV regression with a dichotomous outcome (Y) and my endogenous ("instrumented") regressor (X1) is also dichotomous. I am assessing whether continuous variable (X2) is moderating the ...
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1answer
13 views
Epidemiological research involving age at exposure to events as a continuous predictor
I'm looking for some more sophisticated analytical methods for assessing age-at-exposure effects. The literature I'm reading typically polytomizes age into groups, which I'd like to use as a last ...
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1answer
36 views
interpreting interactions in logistic regression in R
I have a logistic regression and one dummy and one continuous variable and their interaction term. What is the right way to obtain marginal effects, i.e. should one use log odds estimates or ...
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1answer
10 views
How to transform a continuous variable which is a moderator in ANCOVA into a categorical one?
How do I decide where is the threshold to split it into levels? I ran an ANCOVA with a continuous moderator and it is significant, but I am wondering how to transform it to a categorical variable? Is ...
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6 views
How do you run a moderation analysis and post-hoc in Chi square in spss?
How to test for an interaction in Chi-square? Is it also possible to then test for a further interaction in one of the groups? E.g. I test for an interaction in a whole dataset, then split data (?) ...
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Testing whether subject-level slopes in two different random slopes models are correlated across-subjects
Sorry for this poor title.
Let's say 50 subjects each did 20 trials of an experiment, and I recorded 4 variables from each trial, W, X, Y, Z. For each subject, I want to measure the correlation ...
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19 views
how to interpret if the coefficients of two predictors are positive,the coefficient of the interaction term is negative? [duplicate]
I have a multiple regression model.The predictors A,B,AB are all significant. But the coefficients of A and B are positive while the coefficient of AB is negative. How to interpret it?
(A ranges from -...
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2answers
30 views
Why is my variable being omitted by stata?
I am carrying out a fixed effect regression. I have a dummy variable called female. The dependent variable docvis refers to hospital visits. I created an interaction term between hhkids and female ...
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1answer
19 views
How do I interpret the coefficient of this interaction variable. Should I just be setting my dummy to 1 instead?
I have a dataset which looks at people's number of visits to the doctor. It includes a dummy variable for gender called female and a dummy variable called hhkids which states whether or not someone ...
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Latent variable interaction: different number of indicators 4 vs 1
I am trying to calculate a latent variable interaction using the unconstrained product indicator approach (Marsh 2004) with double centering (Lin et al. 2010).
My data: two latent predictor ...
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21 views
How do I describe an interaction effect with categoric variables?
I have a continuous response variable. It is the conversion rate from an AB test.
I noticed that the response variable changes meaningfully based on the experimental group, plus one other variable ...
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1answer
25 views
mgcv::gam(). ANOVA decomposition of a factor-by-variable interaction
Suppose:
y is a continuous response variable.
z is a factor variable, and x is a continuous variable.
For example,
...
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0answers
21 views
SPSS ANCOVA interaction significant once main effects removed
I'm running a 2x2 factorial ANCOVA, where the factors are either being in condition A or B and either being part of a certain group or not, with two covariates being age and gender. When I run the ...
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0answers
9 views
Different main effect in MANOVA and two-way MANOVA? Which one do I use?
I did a MANOVA in SPSS and there is a significant main effect of the IV on only one of my two DVs. Then I did a two way ANOVA to include one more IV, but otherwise use the same variables I've used in ...
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11 views
Interpreting findings of moderation using PROCESS Macro
I have recently conducted a moderation analysis using the PROCESS Macro plug-in for SPSS. I have tested the moderation effect of W (categorical using dummy variables) on the relationship between X (...
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27 views
Plummeting r-squared when instrumenting interaction term consisting of an endogenous variable
I've read the discussions about how to treat endogenous interaction terms when using an instrumental variable approach (2SLS) and followed the idea of Andy.
However, in my case there is just one ...
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2answers
61 views
How do I interpret the odds ratio of an interaction term in Conditional Logistic Regression?
I am wondering what the correct interpretation of the odds ratio of an interaction term in conditional logistic regression is.
Let's say there are two independent variables A and B, as well as an ...
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13 views
interaction between contrasting categorical variables
I am doing a mutlivariate cox regression survival analysis which I have identified interaction between two categorical variables: transporter groups (further subdivided into transporter1,2,3) and ...
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25 views
How to interpret partially parallel lines in interaction plots?
I am currently taking a beginners statistics course and in my current homework, I had to analyze sales figures of three different products in two environments (east coast and west coast) in a two-way ...
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Should I use a MANOVA and then a two-way MANOVA or just the two-way MANOVA?
My research questions:
Is there an effect of the independent variable on the two dependent variables?
Is this effect of the independent variable on the two dependent variables stronger for females ...
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1answer
29 views
Interpretation of interaction term in a probit estimation
I know this question may be duplicate but I don't find any answer that I could understand. I am running panel probit estimations. Estimations include interaction terms that I am able to interpret.
...
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1answer
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Do you need to correct for a confounding factor if two groups are matched?
I'm looking for group differences in a variable (Power in a frequency band) that depends on age (i.e. increases linearly with age). If the two groups are matched for age, do I still need to include ...
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1answer
27 views
Post-hoc testing for cumulative link mixed-effects model with interactions in R
I'm a resident physician working on my doctor's thesis and I'm trying to analyse data from a survey with R. I have basic mathematic and rookie statistics skills.
Participants of the survey have been ...
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Can I do moderated multiple regression with Process by Andrew F. Hayes when my moderator variable has 3 categories?
I have only seen it when the moderator variable has only 2 levels/groups/categories (dichotomous). What if my moderator variable has 3 levels? Should I just use a two-way ANOVA then since it also ...
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1answer
21 views
How to interpret OR confidence intervals for interaction or confounding?
This is a textbook problem I've been trying to understand I wanted to check if my thinking is correct (unfortunately there is no solution manual) I have a case-control study where I'm looking at ...
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19 views
Confidence Intervals on Indirect Effect: Moderated Mediation/Conditional Path Analysis in R
I'm trying to bootstrap confidence intervals for my estimates of the indirect effects of a mediation model. Because it is actually (first-stage, a-path) moderated mediation, I need to actually do this ...
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1answer
21 views
How to interact an across panel unit in fixed effect model?
I want to use fixed effect model but I want to test an interaction between female(1 if true) which is not changing across users(id). I wrote Stata code shown below and the results are shown after.
IS ...
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10 views
R glmmadmb continuous vs categorical interaction multiple comparisons
I'm running a model using glmmadmb and I'm not sure how to do multiple comparisons on an interaction between categorical and continuous predictors.
Here are details on the model and data:
My ...
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0answers
29 views
How to add covariate x time interaction term in poisson model in R(relsurv package)
I tried to do relative survival analysis specifically poisson regression in relsurv package. And I want to include covariate x time interaction term since the hazard (or excess hazard) in my model is ...
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1answer
21 views
R: Methodologically sound way to determine which interaction effects to include in logistic regression? glmulti()?
I ran a logistic regression (in R using the glm function) and didn't find significance for a variable I expected to be significant (numerous articles have found significance). When I examined my data ...
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What statistical test should I use for moderation?
I am hoping to test an interaction effect, though being new to statistics/quant research in general, I am a little unsure as to which test would be most appropriate.
I have read around using ...
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2answers
33 views
Main effects are not significant anymore after adding interaction terms in my linear regression
I have two models:
$levelOfCreativity = \alpha Extravert + \beta Woman + \gamma hasACollegeDegree + \zeta isOlderThan25$
$levelOfCreativity = \alpha Extravert + \beta Woman + \gamma ...
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1answer
21 views
interpreting coefficients of interaction terms between categorical variables [closed]
Assuming I have a linear regression model of the form:
Y = a + (b1*fact1) + (b2*fact2) + b3*(fact1*fact2) + b4*other_var
where, fact1, fact2 are categorical variables of 2 factors each, YES and NO
...
