A situation where the effect of an explanatory variable may depend on the value of another explanatory variable.

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Post hoc ttest in SPSS

I computed a A x B (2 x 2) within subject ANOVA for a given ROI using repeated measures GLM. The interaction between A and B was not significant, but two main effects were detected. Can I still ...
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1answer
12 views

Modelling a polynomial interaction

Say I have a model with one response variable ($y$, a continuous variable) and two predictor variables ($x_1$ & $x_2$, both continuous). My model includes both the additive effects of these ...
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13 views

Comparing groups with linear-mixed models

I have a problem with a dataset resulting from the repeated measurements of a clinical index on different patients. Each patient has been classified into two groups according to the index decline two ...
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25 views

Can a model recognize the interactions between variables?

I have a data set similar to the following one, ...
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8 views

Is it possible to get an interaction in Split Plot ANOVA (p = .02) and at the same time get a profile plot for estimated marg. M with no interaction?

In Split Plot/Mixed Design between-within (2by2 ANOVA with 3 DV) I got a significant interaction for one of my DV at F(1,196) = 5.467, p = .02. But when checked a profile plot for estimated marginal ...
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2answers
38 views

understanding total effect when including a variable in different interactions in the same model

I use an OLS regression to verify if ( taking into account different interaction effects) being calssified as a MNE result in higher/lower ETR ( dependent variable) MNE= Dummy LARGEDO= dummy SME= ...
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0answers
50 views

interpretation of main effect and interaction

Short summary: I want to examine of a multinational has a higher or lower effective tax rate ( ETR=dependent veriable) compared to small companies and large domestic companies. ( categorical variable ...
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0answers
6 views

Decomposing a mixed ANCOVA

I am currently analyzing some data for a face perception study in which participants indicate preferences for one of two similar faces of either sex (i.e., face sex is a within-subjects variable). I'm ...
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1answer
22 views

Regression with Quantitative and Qualitative independent variables

I'm new to statistics and I would greatly appreciate any help on this. I have a response (heart beat, a numerical variable) and five other independent variables. Four are numerical (Age, Weight, ...
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8 views

Non-linear interaction terms in Stata [migrated]

Dear users and experts! I have a continuous dependent variable polity_diff and a continuous primary independent variable nb_eq. ...
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0answers
5 views

Is there an equivalent to simple slopes analysis in mixed effects modeling?

Suppose I have a continuous DV, four predictor variables, and I run a backfitting algorithm (i.e., LMERConvenienceFunctions) to find the best fit for my data, and I get a list of significant ...
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0answers
10 views

Oaxaca decomposition - Interpretation of Interaction

I am running a Oaxaca decomposition on trends in paid work (similar to this paper) The estimates are expressed in minutes. The total change shows an increase in about 30 minutes between Period 0 and ...
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1answer
58 views

Understanding the price elasticity interaction in a regression model

The question that follows is derived from a SAS User's Group paper available on the web (Price and Cross Price Elasticity Estimation Using SAS). The objective is to calculate price elasticities (own ...
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8 views

Do I follow up on two way interactions that aren't part of a higher order interaction?

I have a continuous DV, three continuous predictors (Factors A-C) and one dichotomous predictor (Factor D). I ran a backfitting function to find the best model to fit the data and came up up with a ...
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0answers
18 views

How to get SAS to output odds ratios for main effects in a Firth logistic regression featuring an interaction term

Data for this question SPSS file type: SRFULL2.sav Dropbox share link - note you can import it into SAS, which I am using for my analysis here. My SAS-run model is such that: ...
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0answers
13 views

elastic net regression with hierarchal constraints for higher order interactions

I've been using heirNet and glinternet to preserve hierarchy constraints for pairwise interactions in my model, does anybody know if these methods can be extended to 3 way (or higher order) ...
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1answer
26 views

Control Function (CF) Approach with Nonlinear Functions of Endogenous Variables

I am estimating a model using the control function approach (also "2SRI"). My model includes an endogenous variable $y_2$, an instrument $z_2$ and an interaction of $y_2$ with an exogenous variable ...
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0answers
96 views

Moderated Regression Data Set Generation with given correlation structure

I want to generate 3 dependent(Y's) variables,2 Independent(X's) variables and 3 Moderator(M's) variables(all are continuous and lie in the range 1 to 5) and each(M's) variable has 300 ...
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1answer
21 views

Quadratic term and categorical predictors

I have a quick question about the use of quadratic term in GLMM. Can I use it with categorical variables? I read somewhere that its use is restricted to continuous predictors and the thing is that I ...
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1answer
55 views

Generating simulated data for moderated regression with 5 variables

I want to generate some data to test the concept of moderated regression. For example I would generate five variables.2 Independent,1 dependent and 2 moderated.Then what should be the correlation ...
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24 views

Interpretation of continuous by continuous interaction in binary regression model

I'm performing binary logistic regression in SPSS; y is dichotomous variable; and both Xs are continuous variables. I performed three models and I have troubles interpreting model with both ...
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0answers
19 views

Dummy-coded moderator (multi-level): Reversing code changes interaction results

I have a diary-study (multi-level data) and hypothesized an interaction effect on level 1 (day-level). The moderator is a dummy-coded variable that was measured at day-level (*eat vs. not eat), the IV ...
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0answers
10 views

Simulated Data for Moderation regression

I want to teach my students the regression analysis based on moderator variables in which I would show them how presence of moderator variables with the independent variables would be significant in ...
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2answers
51 views

Moderator and Independent variable Interaction terms non-significant

I have fitted a regression model on my mean-centered variables. Every regression coefficient is significantly different from zero but the interaction terms created by multiplying the independent ...
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4answers
48 views

Interaction variable that is a dummy and continuous variable of the same subject

I have a logit model aiming to explain a binary variable. I am wondering whether the way I have included a size variable incorrectly. I have included the farm size in hectares, then using a dummy for ...
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0answers
4 views

Interpreting MNL results and the coefficients of interaction terms (RPL) in NLogit

I conducted a project with 12 scenarios, each scenario has 4 choices and each attribute has 3 or 4 options. For example, the attribute “X” has 3 options: “never mind”, “low” and “high”. If they are ...
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35 views

interpretation of interaction term and main effect

[![enter image description here][2]][2] Short summary: I want to examine of a multinational has a higher effective tax rate ( ETR=dependent veriable) compared to small companies and large domestic ...
0
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0answers
12 views

One-Way and Two-Way ANOVA dataset

I'm not a statistic major and I would greatly appreciate your help on this issue! I'm learning about one-way and two-way ANOVA, and I came across a problem were I had the dataset as follows: ...
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32 views

Beta regression model - how to test the model to obtain p values?

I have coral cover data (in percent coverage, thus it is between 0 and 100). I am using the betareg package in R to fit a multiple regression model, where Coral ...
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0answers
42 views

Confusing about centering variables in regression analysis

Thanks in advance for someone who can help. I realize that, in regression analysis, if there is an interaction term included, it is recommended to center the variables (subtracting variable's ...
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1answer
46 views

Interaction term in logistic regression

I have a question about interaction terms in logistic regression. I have a dummy dependent variable and 2 predictors in the model. Predictor A with 2 levels and predictor B with 3 levels. In an output ...
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0answers
26 views

How to interpret nested interactions?

Consider a data set where you have a tenure variable that takes non-negative values (e.g. from 0 to ...
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0answers
13 views

Interaction effects and ANCOVA

I conducted an ANOVA for a 2x2 design and obtained a main effect and an interactions. However, I also measured a variable that is known to impact this effect and I re-did the analysis in an ANCOVA. ...
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1answer
30 views

Is there any way to account for variable interaction in R's auto.arima?

I'm using the auto.arima function in R's forecast package to build an ARIMA model with external regressors. I have a ...
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1answer
31 views

Interpretation of first and second order interaction effect

I'm actually reading the book "A handbook of statistical analysis using SAS" When talking about an ANOVA analysis the author discuss the results of a model in which a dependent variable is analyzed ...
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28 views

Can I predict a correlation

In my research I'm looking at the correlation between self-harm and aggression (both continuous). Now, I also have some variables (e.g. depressive symtoms; also continuous) which I do believe ...
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1answer
51 views

How to understand interaction effect

I do research on differences in corporate tax burden by different types of enterprises (3 categories). As we can see in the picture categorie 3 has a significant ...
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2answers
47 views

What is an intuitive explanation for the interaction of factors in a multiple regression?

How should one proceed when the interaction of predictors in a multiple linear regression is significant? I'm really after an "explain like I'm 5" type of explanation. Even better if it's supported ...
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0answers
43 views

Failure to converge after including and interaction between time and a covariate (in survival analysis) in R

I have fit a Cox proportional hazards model to some survival data. I then checked assumption of proportionality of hazards by checking plots of scaled Schoenfeld residuals. based on this, it ...
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0answers
10 views

Fitting interaction terms in linear mixed model without main effects and using IT approach

I am fitting linear mixed model with the response variable age at migration and using the IT approach. In one of the models I wish to fit a term Age*Growth akin to growth achieved at specific stages ...
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0answers
32 views

Interaction terms and main effect in GMM

I am struggling with my master thesis. I would appreciate if you give me some advice about my model. I am working on panel data, N=28 and T=5. So my benchmark model is: Povertyi,t= ...
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1answer
39 views

How to include an interaction term in a random forest model

I'm using the function randomForest in R's randomForest package to do a regression. However, when I'm trying to include an ...
2
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0answers
146 views

Coalitional effect in logistic regression and assessing explanarory variable contribution

I have a problem that could be described as logistic regression with all dichotomous variables: 1 response variable (DV) Y (I would call it later as a feature/violet star) and 5 explanatory variables ...
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0answers
27 views

Two-Way ANOVA simple effect analyses

Could someone please clarify the unique distinction of a two-way ANOVA simple effect analyses by any chance? Given one variable with two levels (e.g., gender), and another variable with three levels ...
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1answer
16 views

Moderating Variable in R [closed]

I've been looking for Moderating equations in R but to no avail. Can somebody tell me how to write the moderating equations in R ? assuming one perdictor, one dependent variable and one covariates. Do ...
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1answer
45 views

Violation of proportional hazard for covariate but not for interaction it's part of in a Cox Proportional Hazards model

I have a problem in which one of the covariates in my model violates the assumption of proportional hazards, but the interaction it is part of does not. Data info: Lifespan - mosquito time to death ...
3
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1answer
48 views

When is a moderator effect not an interaction effect?

MacKinnon (2012) writes on p11 that A moderator is a variable that changes the sign or strength of the effect of an independent variable on a dependent variable. It is typically (but not ...
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1answer
19 views

How to get groups of strong indicators in logistic regression in R

I have a problem with outputting the terms for a logistic regression model in R. For a given list of independent values, say list l of terms {w,y,z} to determine dependent variable {x}, I want to find ...
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0answers
22 views

Cohen's d for interaction term in multiple regression

I'm conducting meta-analysis with Cohen's d as the primary effect size. One study predicts and finds an interaction of a continuous moderator variable and a dichotomous grouping variable (treatment ...