All Questions
Tagged with categorical-encoding interaction
53 questions
5
votes
2
answers
109
views
How to calculate the reference level interaction in regression in R?
I am very confused on calculating the reference level interaction in regression in R.
Here is the sample code:
...
- 364
4
votes
2
answers
125
views
Interpreting main effects with dummy coded and continuous predictors in regression
I have a logistic regression predicting probability of a 'yes' response given 'condition' (A,B,C,D; dummy coded, with 'A' as the reference level).
This will produce estimates for the following:
...
- 542
1
vote
2
answers
87
views
Number of Phones in a word: Numerical or Categorical Data?
I'm trying to model a subset of the MALD dataset (language related) using Gaussian Distribution.
MALD: https://link.springer.com/article/10.3758/s13428-018-1056-1
One of the variables I'm working with ...
- 11
0
votes
1
answer
57
views
Interaction with dummy variable: How to access std. error, t value, p value, (and others) for the opposite manifestation of dummy
Preparation
Using R-Libraries: library(dplyr)
The situation
Data
Given the data
...
- 101
3
votes
1
answer
137
views
Dummy Variable Trap & Interaction Term?
Suppose we create a dummy variable male (1=male, 0=female) and dummy variable female (1=female, 0=male). Does the dummy variable trap, also occur, if we include them into interaction terms:
$Y_i = β_0 ...
- 677
1
vote
0
answers
285
views
Interaction between two binary variables in lavaan
I have two binary variables (X1 and X2, coded 0/1) as predictors in a growth model in lavaan. I want to understand their individual contributions and their ...
1
vote
1
answer
171
views
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 ...
- 59
2
votes
0
answers
35
views
Should I exclude dummy variable created from independent variable in multivariate regression model?
I have the following model:
$ \ln(wage) = \beta_0 + \beta_1educ + \beta_2educ*college $
the variable $college$ is from the condition that if $educ \geq 16$.
Should I include the variable $college$ in ...
3
votes
2
answers
131
views
How to interpret dummy variables and interactions terms on dummy variables in a regression?
Suppose I have a linear regression form of
$$
\log(Y) = \beta_0 + \beta_1X_2 + \beta_2X_3 + \beta_3X_1Z + \beta_4X_2Z + \epsilon
$$
where $X_1, X_2, X_3$ are binary and $X_1$ is omitted as a reference ...
- 4,260
2
votes
1
answer
77
views
Interaction with indicator function instead of dummy
I am running a regression of Y on X (both are continuous variables). I'd like to measure how the effect differs between two groups of individuals, coded by a dummy variable Z. The traditional way of ...
- 21
3
votes
2
answers
1k
views
Which groups are reference groups in a regression model with interaction?
What are the reference groups in a regression model where there are interaction categories? Using the iris dataset in R, I've created a category with three levels ...
- 615
0
votes
1
answer
68
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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 ...
- 55
1
vote
1
answer
426
views
Interaction between quadratic term and dummy variable
Suppose I have a linear regression:
$Y=\beta_1+\beta_2X+\beta_3X^2+\beta_4D$
where $D$ is a dummy variable that takes value 0 and 1.
If I want to examine if the effect of $X$ on $Y$ for $D=0$ and $D=1$...
- 23
1
vote
1
answer
619
views
Interpretation of two dummies interacted with one continuous variable
I am currently looking at the following equation using Stata and unsure of how to interpret the interaction terms when there are three variables interacted together (2 binary variables and one ...
- 11
1
vote
1
answer
2k
views
Interaction effects in regression models - should I include reference category?
I have a question about coding interaction effects using dummy coding which I’d be really grateful for your advice on please.
Imagine I want to design an experiment to measure the impact of amount of ...
- 11
1
vote
1
answer
283
views
Encoding hierarchical relations between samples for machine learning
I have a set of samples with a corresponding set of continuous features which I am using to make predictions about a particular property of the samples. However, the samples are organized in a ...
- 228
0
votes
0
answers
237
views
Significant variables with insignificant levels and vice versa in logistic regression
I hope all of us get well during the pandemic.
I have conducted an analysis using binary logistic regression to investigate the interaction between gender (male, female) and official language ...
3
votes
1
answer
909
views
Interpreting the effects of dummy interactions
Warning
This question is quite long, and maybe a lot of you will think it is too long. I however thought, and hope, that if this question gets a proper answer, it will actually be a really good post ...
- 528
2
votes
2
answers
1k
views
Interaction term with categorical predictors with more than one level
I am looking at the interaction between education (LTHS, HS, SOME COLLEGE, COLLEGE) and race (WHITE, BLACK, HISPANIC, ASIAN, NATIVE AMERICAN). I am using SAS and am including a class statement in my ...
- 21
1
vote
1
answer
81
views
What is the correct way to test multiple dummies?
I'm discussing a topic with classmates and the textbook does not address our concerns. In the following model:
$$wage = \beta_0 + \beta_1 female + \beta_2 educ + \beta_3 (female \times educ) + u$$
it ...
- 127
1
vote
0
answers
368
views
Panel Data Regression in R with Dummy Variables [closed]
I am currently working on my thesis and thereby analyzing the effects of the increase of COVID-19 cases on the main stock indices of the G7 countries. For this purpose, I have divided the whole period ...
- 11
0
votes
1
answer
276
views
Stata Logit Model: Dummy Interaction With/Without Dropping Intercept vs Sub-Group Odds Ratio
Regarding data, there are three binary variables: trt(0,1), fail(0,1), and female(0,1).
For sub-group analysis (male vs. female), I am running typical 2x2 treatment vs. failure tables separately for ...
user291323
1
vote
0
answers
56
views
Categorical x continuous variable interaction in regression?
I have a sample containing two subgroups and I would like to measure the relationship between two continuous variables across the entire group and check if there's an interaction with subgroup.
First, ...
2
votes
2
answers
12k
views
Why, or why not, factor categorical variables in regression modeling?
I'm currently in the midst of running several logistic regression models to test for effect modification (i.e., testing interaction terms) between two categorical variables (sex and age as a ...
- 23
0
votes
1
answer
27
views
What is the best way to examine the interaction between student gender at level 1 and instructor gender at level 2 in a multilevel model?
I am building a multilevel model with students at level 1 and instructors at level 2 and I have variables at each level to indicate the gender of the students and their instructors (see coding below). ...
- 1
0
votes
1
answer
971
views
Interaction term gender interpretation stata
Hi,
I have a hard time interpreting these coefficients in collum 2.
So my dependent variable is if you have a supervisory job yes=1 and my independent variables are female=1 and traditional values=1....
- 35
1
vote
1
answer
581
views
Difference between using an interaction term for categorical predictors vs. creating subgroups (linear regression)
In a linear regression with two categorical predictor variables:
Let's say the most simple case (e.g. 0= male, 1=female; 0= no vegetarian, 1= vegetarian), so based on those two nominal variable a ...
- 153
1
vote
0
answers
3k
views
Dummy variables and interactions
To avoid perfect multicollinearity, a common practice is to drop one dummy variable when encoding categorical variables in a linear regression model (avoiding dummy variable trap). I am using this ...
- 213
1
vote
0
answers
72
views
Main effect omitted as it is time-invariant. Is including the interaction without the main effect an issue?
I am interested in the impact of Unemployment (U) on Gross Domestic Product (GDP). I also want to check if the effect is different for developed countries and developing countries. I am using 10 ...
- 11
1
vote
1
answer
107
views
Can I use the interaction between a dummy variable and the variable it was derived from?
I am trying to make a multiple linear regression model.
I have a hypothesis that $x$ is a significant predictor of $y$ but only when $x > 0.5$ ($x$ ranges from -2 to + 2).
Is it acceptable to ...
- 123
1
vote
0
answers
96
views
Multiple interaction terms for dummy variables?
IV: State (NJ, HI, CA, FL) (reference =CA)
Moderator: # of hours exercising
DV: BMI
In this case, the IV is categorical and I have 3 dummy variables. As such, I created 3 interaction terms. In using ...
- 11
1
vote
0
answers
99
views
Interaction term btw. binary and continuous variable - dropping the intercept? [closed]
I run a linear regression with many dummy variables (in total 10). Thus to avoid the dummy variable trap, I dropped the intercept and included all dummy variables.
Now I'd like to have a look at the <...
- 11
4
votes
1
answer
382
views
Can I remove a dummy variable when it is not significant by itself, but its interaction with another variable is?
I have the following model based on the financial returns of a company as a dependent variable of a stock market index, and a dummy variable interacting with USD exchange rates to my currency. The ...
- 173
5
votes
1
answer
2k
views
Problems from having too many interactions in a regression?
Excluding the 'dummy variable trap', are the problems from including too many interaction terms in a regression any different from the problems of including too many continuous or binary variables in ...
- 1,228
0
votes
1
answer
440
views
Interpreting dummy variable interaction terms
I am attempting to model monthly retail electricity sales. To account for both the effects of seasonality and weather, I created an interaction term by multiplying 12 monthly dummy variables by the ...
- 3
0
votes
1
answer
56
views
Dummy code interaction among categorical variables [closed]
Do you know if there is a way of dummy coding the interactions among three independent categorical variables using SPSS? (with two levels each)
- 7
0
votes
0
answers
27
views
Multiple linear regression with dependent as a dummy predictor
I have a model $Y = \alpha + \beta_1X_1 + \beta_2X_2$.
$Y$ has a bimodal normal(ish) distribution, so I'm looking to see if the relationship between the predictors and the response is different for ...
- 101
5
votes
1
answer
441
views
"Joint" dummy variables for two different variables
I am supposed to show the hazard ratio (HR) stratified by gender (1= female vs. 2= male) and age groups (quartiles, 1-4)*. The combination "female" and "first quartile of age" is supposed to be the ...
user213325
2
votes
1
answer
389
views
interpreting coefficients of interaction terms between categorical variables [closed]
Assuming I have a linear regression model of the form:
Y = a + (b1*fact1) + (b2*fact2) + b3*(fact1*fact2) + b4*other_var
where, fact1, fact2 are categorical variables of 2 factors each, YES and NO
...
- 71
0
votes
1
answer
76
views
What would be the appropriate statistical test for my study?
What would be the appropriate test for a study that has:
2 categorical independent variables with 2 levels each,
1 moderator variable (and would it matter if my moderator is categorical or continuous?...
3
votes
3
answers
3k
views
Multiple regression with dummy variables and interaction term
We have done a multiple regression analysis to see how gender and experience affect salary. We used a dummy variable for gender and then we also added the interaction variable (female work experience)....
user234982
0
votes
0
answers
33
views
Assess impact on results of participants recruited via additional outreach efforts
I am currently working on a project that evaluates certain study recruitment strategies in regards of increasing participation among different subgroups.
One of those strategies is reminder letters. ...
- 71
1
vote
1
answer
80
views
Is there a collinearity issue when using: x, dummy indicating extreme negative value of x and their interaction?
I was wondering whether I can build my baseline model using the following variables without incurring in any multicollinearity issue:
$X_1$= Net capital flows over GDP (which may be positive and ...
- 27
2
votes
1
answer
478
views
SEM setup question: Dummy coding with interaction term
I have an SEM that fits well according to several metrics and returns meaningful results. However, I'm not sure if the structure is valid. I have 3 between subjects conditions (2 treatments and one ...
- 21
3
votes
1
answer
543
views
Can you have interaction terms for both "sides" of a dummy variable in a single regression?
I'm really not sure how to phrase my question properly, so I apologize if this has been answered elsewhere. Let's say I'm interested in using a regression to predict wage using sex and an interaction ...
- 33
6
votes
1
answer
2k
views
Separate Models vs Flags in the same model
I have customer data from 2 brands. The data structure are the same, but I expected the customer behaviour to be different in different brand.
So I could train 2 models, 1 for each brand, or I could ...
- 163
2
votes
1
answer
1k
views
Question about interpreting interactions between three level dummy coded variables in R
I have two, three-level, categorical variables in R. Both are reference coded using level 1. I run a mixed effects linear regression using trial level data.
The R output provides separate interaction ...
- 2,701
0
votes
1
answer
2k
views
Interaction term with several levels in multi linear regression in R [closed]
first of all thank you very much for admitting me!
I am currently stuck with a problem regarding interaction terms:
I would like to interact a categorical variable with several levels with a ...
- 25
2
votes
1
answer
3k
views
Interaction terms, dummy variables, and fixed effects
I am getting very strange results for an interaction term in a model I am fitting. I am interested in the impact of uncertainty on investment. The theory predicts that the effect of uncertainty on ...
1
vote
2
answers
201
views
how does adding a interaction of categorical variable influence the number of betas
I have a multiple linear regression model:
$$y= \beta_0 + \beta_1 x_1 + \beta_2 x_2 + \beta_3 x_3 + \beta_4 x_4 + \beta_5 x_5$$
where $x_1$ is a continuous variable and $x_2$, $x_3$, $x_4$ and $x_5$ ...
- 11