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 logistic regression - relative change in the predicted probabilities with unbalanced classes

I have a multiple logistic regression with continuous variables (dist_fs, slope, min_dist), one binary variable (exp), and one interaction between the binary variable and a continuous variable. The ...
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Navigating Differences in Scale: A multivariate approach with standardization or separate component analysis?

I am conducting a research study on sex differences in the physical limitations of patients with ankylosing spondylitis (AS), using the Bath Ankylosing Spondylitis Metrology Index (BASMI). The BASMI ...
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Three-way interactions with two-way interactions consisting of only dummies :D [duplicate]

In the following i am studying life expectancy as an example: where I have dummies for a person being male, female, smart, wealthy. The base reference is a child who is not smart or wealthy. Life ...
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Control variables in interaction effects [duplicate]

I'm new to econometrics and this might be a dumb question.. but if I were to include an interaction term, do I also have to input the variables separately as a control variable? For example, Y = a + ...
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Can someone help me understand this regression model?

The above picture is an excerpt from a paper I am reading. (Roads and Loans, Review of Financial Studies). I think based on the reporting of the results from the authors, beta1 is their interest? Is ...
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Interpreting an interaction term in the context of study

I developed the ordinal model where the outcome (high, middle low) is predicted from variables socioeconomic status (low, middle or high), child/adult relationship (family type A, B or C), and some ...
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Feature contribution interview question I can't answer

A few weeks ago, I had an interview for a data science job. Of all the questions they asked me, I was unable to solve the following one. I couldn't even attempt it because I didn't know anything about ...
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Interaction term's significance changes by including the intercept. How to decide if intercept is to be kept or not?

I am working on a model (non-linear) of the form: Should I have the intercept in the equation, as having one gives a different outcome (level of significance) to my interaction term 1, compared to ...
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Difference between interaction terms and test for interaction

I am having difficulties in understanding the difference between interaction terms and test for interaction. I am using logistic regression models so maybe the concept is different compared to linear ...
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Interpreting multiple regression summary output with (multiple) interactions

This is really basic, but I'm having trouble interpreting the summary output of a multiple regression, including one or more interactions with a categorical ...
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Should I Include the predictor variables alongside the interaction coefficient within a linear regression?

I'm currently using R to run a linear regression with 3 predictors. I am analysing the outcome likelihood of electoral success by descriptive identity of election candidates in Germany. My aim is to ...
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Interpreting coefficient of interacting factors to compare difference in scores from two time points

I am working with a colleague's data from a research project comparing two groups of learners on a test of language ability. Data are repeated measures, between-subjects. Participants in each group (M ...
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Interpretting Interaction plots and significance

I have this interaction plot and I'm having some trouble interpreting it. I can see that level 3 of factor A cuts through both 1 and 2, which means that level 3 of A has significant interaction with B....
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Meta-analysis of two-way interaction effect

I have four different studies, each with the same two continuous predictor variables, $x$ and $z$, and a continuous outcome variable, $y$. In these studies, I use hierarchical linear regression to ...
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Interpretation of results logit model with interaction term

I have run a pooled logit regression (using R) with a dependent variable of probability of CEO turnover. I have several binary and continuous independent variables, and an interaction term between ...
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Interpretation of results - logit model with interaction term

I have run a pooled logit regression (using R) with a dependent variable of probability of CEO turnover. I have several binary and continuous independent variables, and an interaction term between ...
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Between-person level interaction

I have a database called dat1. Each participant (id) had multiple measurements. One of the variables measures type of the stress called stress_type (acute=0, chronic =1) and another variable is the ...
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How do I interpret the interaction coefficients in a cox proportional hazards model with two factors?

I am trying to look at how two different factors A (levels A1, A2, A3, A4) and B (levels B1 and B2), as well as the interaction between the two, influence the time to an event X. As a result I am ...
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Explore interaction glmer

In my study, participants were presented with descriptions of several acts of interpersonal betrayal and asked if they would want wo find out about the betrayal if they had been the victim of it or if ...
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Inclusion of interaction term and interpretation

I'm planning to run a large amount of regressions to test for an association between medical conditions. As my dependent variable is always age-dependent, I include age as a covariate. For example, I ...
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How to interpret the interaction coefficient

This is a fixed effect panel model in Stata. Income group has 4 categories: Low income, Lower middle income, Upper middle income and High income. Here below, I put the interaction coefficient values ...
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Contradiction between emmeans and t.test in R

I am analyzing two within-subject categorical variables (Factor A and Factor B) in R. Using linear mixed effects, I got a significant interaction. When I start to analyze the simple effect, I firstly ...
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Compare the factor A between levels of factor B when an interaction exists, using emmeans

I have a model with the following formula: percent_discoloration ~ cv * year + zone_line where percent_discoloration is my ...
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When interaction is not significant in full sample but subgroup analysis shows significance

I have two main independent variables - gender (0/1) and extraversion (continuous) in a logit regression. In the full sample, the gender X extraversion interaction shows no statistical significance. ...
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How to find Cohen's f for multiple regression with interaction included?

I am currently investigating the moderating role of mindfulness in the association between academic distress and suicide ideation with depression as a control variable. I finished doing the multiple ...
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Interpretation of interaction terms in R

I have conducted OLS with interaction terms in R and used emmeans package to examine further. I am not sure whether I am on the right track to interpret the interaction terms. My research question: ...
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How can I test the relevance between two interaction effects from two repeated measures ANOVAs?

To assess the impact of temperature and humidity on CPU performance, we conducted an experiment where we manipulated temperature and humidity levels. There were two within-subjects variables in the ...
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GLM: Differing results for Interaction Effects depending on the link-function

I want to test whether whether a dispositional risk factors moderates the relation between a situational risk factor and a negative outcome in a regression model (including several control variables). ...
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Subgroup analysis: post hoc test interpretation

I am modeling treatment effect in a hypothetical case where only a subset of the sample has disease-related impairment on the outcome of interest. I only expect treatment effects in this subset, but ...
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Three-level variable in LME analysis - output

I am currently unsure about a three-level variable in an linear mixed effects analysis in R (lme4) - I should add that I am new to LMEs and would very much appreciate some very basic advice! I am ...
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Understanding the output of margins() in R?

I want to do some basic OLS regression analysis but I am confused about the output given by the margins() function from the ...
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Why are my variables being omitted by Stata?

I'm doing a random effects model. I have a dummy per treatment, which would be "Message", "MessageTax", "Tax" and "Donation" which refers to whether or not the ...
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No significant interaction in lmer - do you refit the model without interaction?

I'm running/ reporting lmer analysis for the first time and have a hypothetical question related to a few of my models. I'm using R lmer package - my models are generally of the formula: ...
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How to calculate effect size of moderation analyses on repeated-measures data?

I conducted a moderation analysis on repeated-measures data using the MEMORE macro for SPSS (https://www.akmontoya.com/spss-and-sas-macros). However, I need standardized effect sizes but I haven't ...
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Interaction test non significant

Let's suppose I perform two separate logistic regression models in two different subgroups of my dataset. ...
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Interpret significant interaction with nonsignificant main term in regression involving continuous time variable and a bounded (0-100%) variable?

Scenario: I have data comparing the number of tree stems in 30 forest plots between two sampling years (1992 and 2012). Each plot received hurricane damage between these 2 sampling years -- this ...
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Which mgcv syntax for a bivariate smooth interaction with a random effect as predictors?

I want to predict the concentration of a biomarker (continuous) according to the interaction of white blood cells with time (both continuous), considering medical units as a random effect that may ...
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Process Macro SPSS-Moderation Analysis with 2 Predictors and 2 moderators

I've been trying to learn how to do this analysis but I can't find any information that sheds light on my case and I can't figure out what to do from Hayes' book. I would really appreciate it if ...
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Center variables PROCESS Moderation model SPSS

I'm currently researching an moderation model in SPSS with Gender as Moderator. When I'm running PROCESS number 1 (moderation) I choose the option “only continuous variables that define products”. ...
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Preliminary t-test for moderation

I am currently working on my thesis and I have run into some issues regarding interpretation of my analysis. I wanted to find out whether relationship between my IV and DV differs based on gender (two ...
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Test for moderation effect in multiple regression

I am trying to build a regression model to find the correlation between the features of thumbnails and the popularity of videos. I am proposing that category of videos is the moderator of the ...
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Are random effects just interaction factors with many levels?

Say you're fitting a generalized linear model where the response variable is weight and there are several factors: height, sex, vegetarian, country where the person lives, etc. Now say you expect ...
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Help making inferences from interactions within nested GLMM?

I want to model survival outcome as a response to stem length for a plant species. All individuals within plots were tagged and sampled in year 1, then re-found and sampled again in year 2, with an ...
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Interaction factor (RCT trial)

How could you explain that during a trial (RCT), some features may have no interactions between them if you consider them as categoric features, but have an interaction if you consider them as ...
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How to define interaction between 2 categorical covariates and Time and Intervention in a longitudinal model? (in R)

Dears, Let's assume, that I have a study like this: longitudinal, 3 time points, T1, T2, T3. Let's assume T1 is post-intervention. 2 interventions, A and B 2 categorical covariates: Cov1 (2 levels: ...
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2 answers
508 views

How do Fractional Factorial Designs relate to 'Response Surface Methodology'?

Fractional factorial designs (FFDs) and Response Surface Methodology (RSM) are both approaches to extracting some information about how multiple interacting factors affect a response variable. Their ...
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Error when conducting a Friedman Test in R

I am trying to run a Friedman Test on some data in R. I would like to measure a 3-way interaction with a repeated measure. However, I keep getting a persistent error message when I run the code and ...
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Is it possible to have interaction term in t test?

I have data of glucose measurements of 100 patients taken at 2 different time points. Of these, 40 people were taking pioglitazone drug and 60 of them were on placebo. I want to test (1) whether there ...
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Dummy interaction term in an ARIMA model

How to include a dummy interaction term in an ARIMA model? Can we use the dependent variable (in this case, say the log return of an asset price at time $t$) to multiply with the dummy variable as an ...
Jyoti Nair's user avatar
2 votes
1 answer
625 views

GEE interaction interpretation

I’m trying to understand the interpretation of interaction terms, specifically in the context of GEE models. I’m familiar with them in conditional models, and am comfortable with marginal effects in ...
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