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

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4 views

2x6 repeated measures ANOVA interaction and main effects question

Currently I'm graduating and I'm finishing up my master's thesis as we speak. It's a study about the effect of hand positioning on response time. I'm submitting my data to a 2x6 repeated measures ...
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6 views

Is there a way to test if moderation occurs across DVs?

Say I have two regression models with the same explanatory variable (e.g., income) but with different outcomes that have been measured on the same scale (e.g., 0-10, positive and negative affect). Is ...
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24 views

Prediction using fixed effects in glmm

I have the following model (mcmcglmm in R with data based on this paper). Sex is a two level factor (M or F), Group a three ...
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24 views

GLM: Is it necessary to include lower-order interactions when testing higher-order interactions

It appears to be a general principle that one should include all main effect terms when modelling interactions in (generalized) linear models (as argued here, for example: Including the interaction ...
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12 views

How to deal with interaction between several dummy variables and one continuous variables in one or two regression models?

I want to know the relationship between revenue and cost in several conditions. Dependent variables is REVENUE.REVENUE is a continuous variable from 0~1000+.I have several key independent variables: ...
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1answer
22 views

'moderator' analyses in a meta-analysis

Sorry if I use the wrong terms here, I am still learning how to do this. I am conducting an meta-analysis comparing two treatment types, using Cohen's d. I have completed the primary analyses of the ...
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7 views

Statistical Formula to determine intersection point between 2 variables [closed]

I have 2 datasets, Incremental cost and reach of an advertisement. I need to find the a point of spend after which the effectiveness of my reach decreases. In order words, my cost of quality ...
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1answer
23 views

Difficulties fitting a Cox PH model with categorical interactions to complex survey data

I'm attempting to fit a Cox proportional hazards model to a set of NHANES data; the code to load and clean the data is here, and the resulting dataset is here. The difficulty I'm having is ...
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8 views

Simulating qualitative interaction in survival analysis

I am trying to simulate the survival data that can fit the model: $$h(x) = ho(x) exp (a_0*Treatment + a_1*Treatment*x_1 + a_2*Treatment*x_2)$$ Whereas treatment is an binary variable (0 = control ...
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1answer
15 views

Test of interaction in logistic regression

I know that it's pretty much impossible to test out all the combinations of interaction with sufficiently many predictors, but if I were to suspect some interaction between two particular predictors ...
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7 views

Simulating interaction term in Cox model

I am trying to simulate the survival data (by using Weibull distribution) that can fit the Cox model below: h(t) = ho(t). exp(beta1 * X1 + beta2 * X1 * X2) X1 and X2 are binary. I haved tried using ...
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1answer
11 views

sub sample versus indicator variables (multiple regression)

In my study I have an continuous dependent variable (return) regressed on an independent continuous variable x1 (momentum) and a number of control variables. I am currently investigating whether this ...
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1answer
18 views

What is the difference/relation between variables that are multicollinear, confounding, interacting

What is the exact difference between two variables that are multicollinear and two variables that are interacting and two variables that are confounding? Are they multiple meanings for the same ...
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1answer
17 views

Estimating coefficients of an interaction in a GLMM with R (lme4)

I fitted a Generalized Linear Mixed Model with a Gamma distribution of errors on lme4. I included an interaction between two continuous variables (x:z). How can I estimate the coefficients (beta, ...
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1answer
58 views

> 1 interaction variable, single regression versus multiple regressions

In my study I have an independent continuous variable x1 (momentum) and four dummy variables D1 D2 D3 D4 which indicate industry type. I am investigating the four interaction variables between the ...
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0answers
7 views

Multivariate regression, non-normal response variable

I am attempting to run multivariate regression model with interactions terms to understand the combined effect for categorical variables and 2 other continuous variables. My response variable is ...
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0answers
17 views

Why is it recommended to delete interaction terms “as a chunk”?

In this answer it was discussed that when terms are being deleted for the purposes of model simplification, it's best to delete terms "by chunk". That is, in an x1 * x2 * x3 * x4 scenario we'd ...
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31 views

Including 2-way interaction dummy variables in binary logistic regression

I am trying to do a binary logistic regression by including 2-way interaction where I have two drug dosages types each taking two levels (high and low) and dependent variable is categorical cancer ...
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18 views

Interpretation of Interaction effects in a Binary Logistic Regression

I have a series of exam practice questions on binary logistic regression, and I am struggling with one because I am unclear on how to interpret interaction effects in binary logistic regression. In ...
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26 views

Constructing A Simple Hypothesis

In the book Applied Longitudinal Analysis, 2nd Edition there is an example in the chapter "Marginal Models: Generalized Estimating Equations (GEE)" in "Muscatine Coronary Risk Factor Study" ...
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1answer
29 views

How to interpret interaction between categorical and continuous variable?

I have a question regarding the analysis/interpretation of a significant interaction between a continuous variable and a categorical variable, which seems pretty easy but I just don't understand it ...
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12 views

how to interpret interaction in Poisson regression using SAS

I tried to run Poisson regression models using SAS by including interaction terms and offset by log population. All dependent variables were categorical. In the first model, I tested the interaction ...
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2answers
55 views

Product factor in R. What's the interpretation?

So I am reading an R guide which tells me that the product factor $B \times T$ is implemented in $R$ by using the $*$-operator on the factors after $\sim$. However, when I check the model matrix for ...
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10 views

Interpreting multiple (additive) moderators

I have a regression model with four continuous predictors: two main variables (X, Z) and two moderators (M1, M2). I hypothesize each of the moderators to interact with both of the main variables ...
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26 views

Multiple linear regression interactions

When plotting the effects of two factors on the dependent variable, why do parallel lines like the ones illustrated in figure 44 show that there is no interaction between factor (i) and factor (j)? ...
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45 views

Interpreting interaction term that only includes some of the variables in the model

I have a multinomial regression model with 5 variables (forced to enter the model), and all 2 way interactions between those variables (forward stepwise). The variables are: age, education level, ...
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0answers
10 views

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
15 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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19 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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27 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
41 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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64 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
26 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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6 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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13 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
82 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
22 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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23 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
28 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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99 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
25 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
61 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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27 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
23 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
12 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
64 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 ...