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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SPSS MACRO MODEL 14 INTERPRETATION
I don't understand how to interpret spss macro model 14. Can someone help me for that? I put all the data down below. But I don't understand how to look at significant values in this matrix. And I don'...
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Contribution in a regression with interaction terms
I have a simple regression model y ~ intc + a + b + a * b, let's say I can estimate this model accurately. (a, b) are two positive variables. I want to know what ...
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Moderation analysis with ratio variables
Currently I am writing my master thesis and got stuck with my data analysis.
I want to investigate whether family firms exhibit a lower degree of internationalization in comparison to non-family firms....
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can i compute an interaction variable by multiplying a standardized variable and a mean centered variable?
I need to do a multiple hierarchical regression analysis for my master thesis.
my continues independent variable is: online exposure to cannabis use. I used five items/questions/variables to compute a ...
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Are these effects missing from my glm output because of a possible dummy trap?
I have a few generalized linear mixed model questions. I have an experiment that asked "is there a differential response between asexuals and sexuals by population density?". I am ...
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ANOVA interaction effect
https://i.stack.imgur.com/wdXwB.jpg
If I'm performing ANOVA using the formula in R:
aov(Ileibacterium ~ diet*cage, data)
Context - there are 3 cages per diet with ...
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Adding independent variables to mixed effects model and controlling for interaction [duplicate]
I have formed 2 separate mixed effects models to see how these variables affect "chance" (this is risk taking behavior):
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Is multilevel modeling necessary: only 1 member of each group at individual level with group-level moderator
I have data where I am examining the moderating effect of a group-level variable (performance) on the relationship between two individual-level variables, X (2 experimental conditions) and Y (attitude ...
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Interpreting interaction effect with ln(time) in Cox regression
I am fitting a Cox proportional hazards model with the interaction effect dummy:ln(time). How would you interpret the result? Is it a simple exp(x)-1)*100 to receive the percentage increase in y?
Edit:...
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Assessing importance of interactions between categorical features
The issues with using feature_importance of models such as XGBoost, or even using packages like SHAP or ELI5, is that the results are displayed in a way that doesn'...
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How is the feature interaction different in XGBoost vs. a fully connected neural network
When you know your features could interact with each other, will you choose XGBoost or NN-based models?
My friend is training with an XGBoost, and he manually adds interacted features (X1 * X2) as new ...
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Anova interaction is non significant but post-hoc is
I run an ANOVA which indicates that room:time is non significant, but post-hoc test shows that time has an effect in room 2 but not in room 1. Is this a consistent result ?
What does exactly the ...
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Interpreting interaction effects for categorical reference group in regression
I am running a regression model in R including the following variables:
Intent = continuous DV
Attitude = continuous IV
Story = categorical
IV in 4 levels: Consumer, Heritage, Vision and Product
...
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Anova shows a main effect but not the t-test
I run an ANOVA which indicates that a variable is significant, but running a t-test on the same variable shows no significance. Is this a consistent result ?
Here are more details of what I did:
My ...
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Centering predictors in linear mixed effects and explaining three-way interactions with continuous variables [duplicate]
I am working on a Linear Mixed Effects model. All four predictors are continuous variables.
Full model:
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Test for interaction effect when contrasting specific timepoints in mixed-model
I'm having a mixed model (lmer in R) with 5 repeated measurements (time is categorical), and 6 groups, and several covariates.
I'm mainly interested in seeing whether there is a significant difference ...
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When will a cross-level interaction increase the slope variance?
Heck et al (2012) give the following model
$Y_{ij} = \gamma_{00} + \gamma_{01}\text{ses_mean}_j + \gamma_{02}\text{pro4yrc}_j + \gamma_{03}\text{public}_j + \gamma_{10}\text{ses}_{ij} + u_{0j} + u_{1j}...
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The use of the index argument in glmmlasso in R with interaction terms
I am using the glmmLasso package in R for variable selection with repeated measurements. I have 14 variables + interactions of each of these 14 variables with age that I want to use the selection for. ...
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How to interpret output of a moderation with 2 moderators (1 Dichotomous, 1 continuous) and a dichotomous predictor?
I have conducted a moderation analysis with two independent moderators. (Using Hayes Process model 2). I have attached the output for your reference.
I am looking for the impact that financial ...
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Mediation with interaction term
I am interested by explaining the effect of x on y via m (my mediator). I know how to build the models, comparing the b coefficients, running a model (e.g., with mediate() in R). Basically I want to ...
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Question about deciding whether something is a moderator or covariate
Based on what I know, a moderation analysis is simply looking at an interaction between an IV and a moderator. However, people often refer to moderators when they talk about ANCOVA (analysis of ...
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When/what to standardize for model-averaging with(out) interactions
I’m using the {MuMIn} package in R to select models (dredge, get top models, average etc). My question is about whether I need to, or should, standardise my ...
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Separating datasets vs one dataset with extra categorical feature
I have regression/classification problem. Dataset contains data from 4 sensors on 4 positions (1,2,3,4). Processes measured on all 4 positions are equivalent and same label and features describe all 4 ...
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How to interpret fitted coefficients in a multiple regression model: binary, continuous, and interaction terms
Suppose I have a multiple regression model:
$y = \beta_0 + \beta_1x_1 + \beta_2x_2 + \beta_3x_1x_2 + \epsilon$
where
$y$ is continuous
$x_1$ is dichotomous (0 or 1)
$x_2$ is continuous
If $x_1 = 0$, ...
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cross-lagged-model (sem) with moderators
I have longitudinal data and want to do structural equation modeling in form of a cross-lagged-analysis with three moderator variables. My variables are attractiveness (x_t), self-worth (y_t), age (A),...
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Potential direct effect of moderator on independent variable [duplicate]
I am looking at the effect of a moderator variable (MV) on the association between my independent variable (IV) and my dependent variable (DV). I have now come across a theoretical paper which ...
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Sample size for interaction term in HLM
I am running a hierarchical ordinal regression model with 41 subjects evaluated at 5-time points each. Besides a single level-1 time-varying covariate, I only have two other explanatory variables - ...
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GAM interactions to predict deaths (with measurement error) from weather with distributed lag
I am trying to model the effect of heat (in particular of its constituent components air temperature, humidity, solar radiation and wind speed) on daily number of deaths using a generalized additive ...
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Interaction terms and causal interpretation
I'm estimating the following model:
$Y_{i,t} = \alpha_{0} + \alpha_{1}X^{1}_{i,t} + \alpha_{2}*T_{t} + \alpha_{3}X^{1}_{i,t}*T_{t} $
In which $T_{t}$ is the year treated as a continuous variable, tend ...
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Negative Binomial Regression with Moderation Effect
In H1, I predict the positive effect of a program on the consumer spendings. In H3, I want to predict the positive effect of a program on the number of referrals, while also predicting the positive ...
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Can a main effect coupled with an interaction, answer my question?
I am currently carrying out a research where I have two categorical predictors with two levels each. The research basically consists of presenting participants with one of four profiles of a target, ...
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Is it normal when including an interaction effect as a fixed effect in a mixed effect model the p-value of the main effect change drastically?
I conducted a randomized crossover study in which I had two within subject factors; condition and Time. When running a repeated measures ANOVA the analysis shows significant main effect of condition ...
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How to test for an "interaction" between two interactions
I plan to apply a LMM with the following structure: Y ~ A1 + A2 + A3 + A1:A2 + A1:A3 + (1|subject). I expect the two interactions to display opposing patterns (...
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Serial mediation Hayes Process 6 with SPSS; 2 mediators - issues with paths a1 and a2
I have the following issues which I would like to understand:
I have recently run a Hayes Process 6 analysis. I have checked for outliers (Mahalanobis, Cook's and Leverage and excluded cases that did ...
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ANOVA: significant interaction but not significant post-hoc
I am running an ANOVA (in R, using the afex package and aov_car function), with two inter-subject variable (Group, which can have two modalities and Sex, which can also have to modalities) and one ...
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Missing Intercept in Fixed effect model output
I am running a fixed effect model using the fixest package due to the large number of fixed effects my regression is calculating.
My study seeks to determine how the import share of a country by good ...
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Correcting for multiple comparisons in interaction
I have 13 separate hierarchical linear regression models- all models have an interaction term (group by variable of interest) entered as the last step. Since I have 3 dummy coded groups, I have 2 p-...
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How to treat dummy variables and their interactions terms with an endogenous variable in a IV context?
I have the following regression function:
# fictitious regression function
Y = α1 + α2*X + α3*W + α4*D + α5*(D*X)
Y is the dependent variable, X is the main ...
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Operationalizing my research model in R - moderation and mediation in one model
Below you find my research design which I want to operationalize in R. I began with operationalizing the mediator in R through lavaan. Now I want to know whether/how I can add the displayed moderators ...
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How call a behavior of variable that is explained by other variable?
I have one dependent variable (it is a binary response variable that I want to predict, let's say "t1"), and also two independent variables ("v1" and "v2"). They are both ...
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Can you include interactions with the treatment variable as a covariate in linear regression?
I'm quite new to regression modelling. I'm trying to predict the average treatment effect of a weight loss intervention by comparing outcomes in control and treated groups. The model currently ...
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3 terms interaction in Cox PH model
'''
coxph(formula = Surv(time, hyper) ~ age + drink + smoke + sodium * tchl * BMI, data = male)
coxph(formula = Surv(time, hyper) ~ age + drink + smoke + sodium * tchl * BMI, data = female)
The 3-...
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How to interpret an interaction in a negative binomial?
I'm investigating the influence of top management team nationality diversity (TMTdiv, continuous between 0-1) and board nationality diversity (Boarddiv, continuous between 0-1) on firm ...
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How to quantify the effect of a mediator, SPSS, Psychology experiment
I have collected data to answer the question “Does Neuroticism Mediate the effect of a Mindfulness Intervention?” I Have collected pre-intervention Mindfulness Score and a post intervention measure (...
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Regressing on nuisance features as pre-processing
A friend recently told me about a technique to remove the effects of an unwanted feature $x$ in a response variable $y$. He mentioned an example from genetics. By regressing $y$ on $x$ (or a ...
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Multiple regression - moderation
Best,
For my thesis I have to do a multiple regression analysis for a moderation.
My results show that model 1 (without interaction term) is significant, but model 2 (with interaction term) is not ...
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Interpreting the results of an interaction plot
I have data on 3 species of fish that we fed 2 different types of food and we measure the eggs they lay (number of eggs are a coefficient, but that's not important for this question). The fish species ...
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interaction between (possible) correlated variables
Suppose I have a set of variables a,b,c,d,f,g,h,i, and I created a composite score by summing these eight variables into a composite score e=(a+b+c+d+f+g+h+i). Now I want to explore the interaction on ...
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Moderation-analysis with a hierarchical multiple regression analysis
For my thesis I perform a moderation analysis via a hierarchical multiple regression analysis. More specifically, I want to investigate whether closeness in the parent-child relationship is a ...
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How can a three-way interaction between three categorical DVs and a categorical IV be visualised?
I have a dataset which contains a two-level categorical dependent variable and three two-level categorical independent variables.
A logistic regression showed a significant three-way interaction ...
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