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13 votes
1 answer
53k views

The main effect will be non-significant if the interaction is significant? [duplicate]

I am using linear mixed models to identify important factors, and it turns out that: A: significant B: not significant ...
user3288202's user avatar
  • 1,345
7 votes
1 answer
7k views

How to interpret the significant interaction of two non-significant main predictors?

I have two non-significant main binary variables in my binary logistic regression model, but their interaction is significant. The variables are centered and no multicollinearity is the case (all VIFs ...
Vic's user avatar
  • 1,363
3 votes
3 answers
489 views

Comparing models with main effects and interactions

I have two models: Model 1: Only contains independent variable $x$, while $x$ is non-significant. Model 2: Contains $x$, $m$, and $x * m$, and $x * m$ is significant. How could I illustrate this ...
david's user avatar
  • 31
4 votes
3 answers
9k views

Significant interaction but non-significant simple slopes

I conducted a multiple regression analyses that included an interaction term (continuous x continuous). The interaction term was significant, but none of the simple slopes (1 SD above the mean, at the ...
ApprenticeJunior's user avatar
3 votes
1 answer
12k views

How to test if an interaction is significant: interaction terms or model comparison?

I ask the question based on a current case, but I would really appreciate a general answer, because it has been bugging me for some time: I'm running regressions with interaction effects. How do I ...
Ranjit Singh's user avatar
6 votes
2 answers
8k views

How do you get confidence intervals for interactions of variables?

Suppose I am building an OLS model with the following specification: $$y = \alpha + \beta_0x_0 + \beta_1x_1 + \beta_2x_0x_1 + \epsilon$$ The variable $x_1$ is continuous and $x_0$ is binary. When $x_0$...
badmax's user avatar
  • 2,251
5 votes
1 answer
1k views

Significance in simple regression but not multiple regression

Background: I am trying to show an increase in a number of variables over time, so initially I ran a simple linear regression. However, I subsetted the data so ...
Danib90's user avatar
  • 427
3 votes
2 answers
525 views

Graphing versus further testing interactions

Following the question here, I have come across different (textbook) recommendations. Some authors suggest that the effect of the moderating variable is best understood in a graphic form. Others ...
Adhesh Josh's user avatar
  • 3,345
1 vote
1 answer
384 views

Compare conditional effects (simple slope) from regression model

I have the following regression outputs from a model that includes both quadratic and cubic interaction terms. I calculated the simple slopes using the simle_slope from reghelper. ...
zjppdozen's user avatar
  • 347
0 votes
1 answer
589 views

One of the main effects not significant, but interaction term significant

A is significant B is not significant A x B is significant Do I say that (1) There exists a ...
nerd's user avatar
  • 165