Questions tagged [interaction]
A situation where the effect of an explanatory variable may depend on the value of another explanatory variable.
2,797 questions
0 votes
0 answers
20 views
Control function model with different IV’s and different samples
i’m trying to run a control function approach to account for the endogenous explanatory variable ‘household income’ on the dependent variable ‘youth life satisfaction’, and i have two different IV’s, ...
6 votes
3 answers
173 views
Narrow vs Broad-based U-shape comparisons
I’m modeling mortality using a multivariate logistic regression model with a nonlinear effect of X1 and I’m examining whether this relationship changes across ...
4 votes
4 answers
331 views
Borderline interaction p value
I’m working on a logistic regression model where I want to examine whether the effect of one continuous predictor (X1) on a binary outcome depends on another ...
0 votes
0 answers
58 views
How to interpret emmip plot for ordinal model
I developed the ordinal model with the interaction of variables A and B. I used emmeans package to obtain pairwise comparisons, I understood how to interpret these. I plotted the emmip plot, and I ...
- 327
1 vote
1 answer
75 views
Should I report estimates for nonsensical interactions?
I have a mixed effects model with three predictors that are entered with all interactions between each other, y ~ a * b * c. The interaction a * c has no ...
- 13
0 votes
0 answers
37 views
Combine low-range lines in a predicted probability plot without changing the regression model
I have a dataset with a binary outcome Y and two continuous predictors, X1 and X2. I’m ...
2 votes
1 answer
101 views
Singularity error in a fully nested linear mixed effects model
My experiment consists of evaluating certain behavioral parameters of tracked larvae using a nested linear mixed effects model. One experimental "Phase" consists of ("LightCondition&...
- 21
3 votes
1 answer
176 views
How to decide whether to include an interaction term in a model
If an interaction term in a regression model leads to a lower AIC (indicating a better model fit), but the p-value for the interaction term itself is not statistically significant, should the ...
4 votes
2 answers
105 views
Choosing between spline models with different degrees of freedom and interaction terms in logistic regression
I am trying to visualize how a continuous independent variable X1 relates to a binary outcome Y, while allowing for potential ...
4 votes
1 answer
86 views
Three-way Interactions within GAMMs and appropriate follow-up analyses
I have a dataset of brain signals that were recorded simultaneously from several brain regions while participants performed a cognitive task. I have two categorical predictors (recording site, ...
- 41
3 votes
1 answer
66 views
Error bars for slopes on probability scale crosses 0 but interaction is significant
I am trying to understand this multinomial logistic regression model. The dependent variable is subjective class. There are two independent variables and an interaction term (objective class and year)....
- 603
4 votes
1 answer
298 views
Quantile gam (qgam) of tensor product using gratia: drawing a contour plot of the response rather than the partial effect
Let's imagine the quantile regression (qgam) of the tensor product below. ...
- 295
1 vote
1 answer
67 views
Clarification on mixed model output in R when reporting statistics associated with fixed effects
I need some help understanding a mixed model analysis and how to report estimates & other statistics associated with fixed effects. I have a 2 x 2 repeated measures design. Type of consistency is ...
- 373
3 votes
1 answer
70 views
Do you need to analyse the interaction even when anova shows it's not significant? [closed]
I made a lmer model that, besides other things, includes an interaction between two variables. Anova showed that that interaction is not significant (but both main effects are). The interaction is an ...
- 91
5 votes
1 answer
180 views
AIC prefers full model, interaction not significant — which to use for emmeans
I am using R. I have the following data set: ...
- 155