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

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10 views

How does a moderation hypothesis looks like?

"To examine the proposed relationship between token and subsequent support for a cause among consumers with different levels of the two moral-identity components." Does this sentence imply that ...
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1answer
21 views

Can I have an IV which does not have main effect on DV directly but might have an interaction effect with another IV on DV?

I am inducing envy (IV 1) to see the effect on focusing illusion/anchoring bias (DV). Since I am going to induce envy by showing attractive others' pictures,then gender will play a role because ...
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1answer
30 views

Testing significance of random effects in a linear mixed-effects model with interactions

I would like to test the significance of all interactions in a 3 factor linear mixed-effects model. Factors A and B are fixed, and factor C is random. Using lmer, ...
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9 views

Interaction within my dependant variable

So my regression model is ideal within my scenario of evaluating CSR disclosure and assurance, as both seperately are significant using OLS and logistic regression. The key issue is I want to have an ...
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21 views

Correct interpretation of linear coeffs for 1 interaction, 1 numeric, 1 categorical

Good day, XValidators. This is my 1st question in the community. I'm at my wit's end here. Nowhere in the interwebz nor in youtoubeland can I find an answer to the following: Assume you have this ...
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13 views

Interpreting interaction term via margins command? [on hold]

I am using Stata. I regressed test score on a wealth dummy (high/low) and a maternal education dummy (high/low) and some control variables, among them age (3,4,5 and 6 years), in a linear regression. ...
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11 views

Structural partition for cross validation

Can the partitioning of data for cross validation be used structurally to assess the transfer ability of an effect of one factor across another factor? A MANOVA performed on multivariate data reveals ...
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0answers
44 views

Predictive Probability Plot [on hold]

I am running an ordinal logit model with an interaction term (ologit DGoodIdea9B i.Frame1#i.SatisfactionYES i.Gender, or robust). I was advised to draw a predictive ...
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9 views

Fixed effect regression with time-invarient binary interaction

I am looking to run a interaction test using individual fixed effects to see whether the effects are stronger for female vs male individuals. Given that the specific moderator however does not vary ...
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17 views

Can I interpret Standardized Regression Coefficients for an Interaction Term?

can I interpret standardized regression coefficients for an interaction term that is based on a binary and continuous variable? How would I interpret it: Would I add the standardized coefficients if ...
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22 views

Test for group differences in a piecewise OLS

I have a piecewise regression and need to test for group differences. I want to test whether the two groups (a categorical predictor) differ with respect to a continuous, independent variable's (IV) ...
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18 views

Testing wheither variance of 3 interaction terms differ from each, f test

I have performed a multiple regression with 3 independent variables (in-store factors) 1 moderator (involvement) and 1 dependent variable (store image). I made 3 interaction terms and tested the ...
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18 views

Interaction term issue in a OLS regression

I am trying to understand the possible causes to this regression issue I am having. I have a basic time-series regression: (1) $y_t = \alpha_0 + \sum_{j=0}^{J=8}\beta_jx_{t-j} + \epsilon_t$ I am ...
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1answer
33 views

Interpreting interaction effects in probit regression model

I have run a probit regression model with one 2-way interaction and am having trouble interpreting the results. Both variables are categorical and so one level of ...
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0answers
12 views

In conditional logistic regression using a mixture model, should main effects be modelled on the same subterm as interactions?

I have a question relating to modelling interactions in a conditional logistic regression model (used for matched case-control study) of the general form $$ R_i = \alpha_{s(i)} e^{\beta_1 z_{1i}} ...
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1answer
24 views

Looking for something similar to a three way anova analysis for non-independent response samples

I have devised an experiment that consists of measuring how quickly a person can complete a set of tasks. I have three variables that I wish to investigate whether or not they affect the performance ...
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1answer
11 views

Do Organizational culture and social power bases interact to determine follower outcomes or should I study a moderation effect? [closed]

I am writing my dissertation on the "Effects of Social Power Bases within Varying Organizational Culture." I keep writing that I am looking at how organizational culture and social power bases will ...
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17 views

Secondary moderating effect in limited dependent variable models and graphical ilustration

As part of my research I am using a dynamic random effects discrete choice model. To make it more concrete, I am researching performance persistence with firm level data. I regress a limited ...
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2answers
44 views

How can I calculate the variance of interaction term from an equivalent model without interaction?

Lets say that you have access to a model that estimates the mean of four independent groups like m2 below, but these groups have been formed from two factors (a & b) and you want to instead ...
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1answer
56 views

Moderators in logistic regression

I am currently running a logistic regression model in order to analyze my transaction data. Unfortunately I do find contrary recomendations regarding the testing of moderators (btw, some use the term ...
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2answers
49 views

How to interpret results of interaction regression in R

Suppose I have the regression in R lm(formula = income ~ ageQuartile * (numYearsWorking + numHoursPerWeekWorking)) and in R, I get results like: ...
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2answers
68 views

lsmeans (R): Adjust for multiple comparisons with interaction terms

I have a lsmeans problem in R. I want to do a post-hoc analysis of an interaction, similar to examples provided in the lsmeans documentation. I am puzzled by the fact that the p-values are the same ...
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0answers
50 views

Selection of interaction terms for logistic regression

I'd like to use regularized logistic regression to classify elements (DNA sequences, i.e., character strings) into one of two categories based on the presence/absence (1/0) of many (k=50) features ...
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What is the difference between bi-level linear models and models with interaction terms?

My question is triggered by this question. I can't see that it has been asked here before, even though it looks like a natural enough question. Suppose I have hierarchical data. The Wikipedia article ...
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18 views

create interaction term between binary variables in path analysis use R lavaan package

I am using R lavaan package to do a path analysis. In my model: X ~ A + B Y ~ A + B + X Both A and B are binary factors. So, in lavaan they will be treated with dummy coding. That is, A (0, 1) and B ...
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16 views

Significant interactions force main effects to be insignificant and plus change their sign--how to interpret? [duplicate]

I've read through many similar posts regarding significant interaction wiping out the significance of main effects, but since there were no questions regarding changing signs I decided to post another ...
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1answer
117 views

How to visualize a significant interaction between two linear predictors using the rms package?

Two linear predictors interact significantly (see below). How can I visualize this interaction in a plot? ...
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1answer
24 views

Covariance between a variable and an interaction variable

If I have two independent variables $X$ and $Y$, then $Cov(X,Y)=0$. Now let $Z = X*Y$. Then I would assume $Cov(X,Z)\ne 0$, but given the expecations, variances and covariances of $X$ and $Y$ is there ...
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1answer
74 views

R - moderated mediation using the lavaan package

I am interested in determining the conditional indirect effects of X on Y at a series of values for a third variable Z. I was able to use the lavaan package to calculate some initial indirect ...
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22 views

Cox Time Series Data — Analysis of Interaction Terms

In a time series data set using Cox Proporational Hazard Rate, I am testing a model with interaction terms. I am worried that my interaction term is biased by several specifications of my model and I ...
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1answer
42 views

How do I calculate the odds ratio in a logistic model with an interaction term (categorical)?

In the following logistic regression model, I am trying to model the logit of Y, where Y is a binary variable (Yes or No). Let my model be: logit($Y$) = $\beta_0$ + $\beta_1$*$x_1$+ $\beta_2$*$x_2$+ ...
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44 views

Interactions terms and Heckit/Tobit models in Stata

I am trying to read on how to interpret interaction effects in Heckman's selection model and come across with this article On Marginal and Interaction Effects: The Case of Heckit and Two-Part Models. ...
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1answer
26 views

Linear regression with interaction SPSS

I have to run a linear regression analysis with an interaction effect of two categorical variables: Modality (audio, visual and audio-visual) Repetition (1x, 2x and 4x) I have already dummified ...
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19 views

linear mixed model with paired and unpaired effects

Here is my problem: 20 subjects performed different movements: arm flexion, abduction and rotations [Ma, Mb, Mc]. In addition each of these movements were performed with or without a load of 3 kg ...
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1answer
40 views

X and Y are uncorrelated, but X becomes significant when X*A is included in model

At the zero-order level, X is not correlated with Y. When I add X and A into a regression analysis to predict Y, only A is a significant predictor. A itself is correlated highly with Y at zero-order. ...
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15 views

Unconditional versus conditional regression model. Strange results, or?

Hope someone can help me figure out these strange results. I am performing a categorical analysis, and I have a conditional regression model, where a categorical variable Z (0-1 dummy) is interacted ...
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1answer
45 views

Multinomial Logit Interaction Term

i have a multinomial logit model of the form $y= \alpha + young + year + \lambda_i + (young*year)+ \mu $ where $y$ represents three possible labour market states that an individual can be in. ...
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48 views

What statistical approach to use for this kind of analysis?

I have 1 dependent (continuous) variable, 3 explanatory (continuous) variables and a bunch of control variables. The explanatory variables are my interest variables.I want to do a categorical ...
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18 views

Interpretation of year interaction terms

I am currently specifying a multinomial logit model estimating labour market transition probabilities using quarterly survey data. I have two specific explanatory covariates that I am particularly ...
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1answer
62 views

Differences in nlme output when introducing interactions

I am searching for correlations between a dependent variable and a factor or a combination of factors in a repeated measure design. So I used lme() function in R. However, I am getting very different ...
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29 views

Seperate regressions approach vs. interaction term approach

I am writing my thesis in finance, and my thesis advisor want me to do a categorical analysis, where I include control variables. He tells me I cannot simply include interaction terms (i.e. category x ...
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1answer
24 views

Simple effects of categorical interaction

I have two two-level categorical variables, IV1 and IV2. I want to fit a linear model in R and find out the simple effect of IV1 on the DV at each level of IV2, separately. I'm not interested in the ...
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1answer
61 views

Interpretation Interaction in Cox Regression

I am estimating a discrete choice model with the help of cox regression in SPSS. I would like to interact two continuous predicting variables. The main effect of one of the ineracting variables is ...
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30 views

How to partition $R^2$ among predictors in multiple regression with interaction terms in R

Say I have some predictors, and I know how they affect some dependent variable: ...
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1answer
38 views

How do I interpret interaction effects in a log-log regression model?

I have the following model: $\log(y)=\beta_0 + \beta_1 x_1 + \beta_2 \log(x_2) + \beta_3 x_1 \log(x_2) $ In interpreting the % change of $y$ that corresponds with a 1% increase in $x_2$ at a ...
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20 views

the statistically opposite sign of the interaction that I hypothesized

Although the Beta value for BO X SS is significant, its positive sign is against the hypothesis! it's supposed to have a negative sign according to the literature & also logic! How should i treat ...
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11 views

The difference between adding a main effect of Factor C, and also adding an interaction between Factor A and C into a regression model?

I have a logistic regression model with two dichotomous predictors: Factor A and Factor B. I found that there is a significant main effect of both Factor A and Factor B. Now suppose I want to see if ...
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34 views

permanova or non-parametric test for multiple explanatory variables and interaction

Hi I am trying to find a test to analyse the following data set. Response variable is failure or success (0 and 1) measured over 4 time points, under 2 different treatments (light and temperature) in ...
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13 views

How to incorporate characteristics of the object of outcome variables as predictors in model

I'm working with survey data for a social science research topic. The particulars aren't super important, so I'll use a simplified version to make it easier to understand what I'm trying to do. I say ...
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54 views

R square change for 2-way interaction model

I want to test a regression model with neuroticism as focal predictor, agreeableness as moderator and RT variability as dependent measure (covariates: attentional control and mean RT). Previously, I ...