All Questions
Tagged with multilevel-analysis interaction
80 questions
2
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1
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35
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Reporting Hierarchical Regression Results in Abstract
I did a hierarchical regression test in a social science study looking at how two variables (A and B) and their interaction term can predict variable C. My mentor told me to write in the abstract that ...
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1
vote
0
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38
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Multilevel model where skew of random effect depends on an independent variable
I am trying to construct a model where the skew of the distribution of a random effect changes with an independent variable. I'd eventually like to fit this using ...
- 82.8k
0
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1
answer
35
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Hierarchical logistic regression interaction
looking for some guidance on analyses.
I'm running hierarchical logistic regression models with a cross-level interaction, x and z (both variables are continuous).
Even though the interaction is not ...
- 102k
2
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2
answers
965
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Why do I get very bad fit indices for a moderation? (including a negative TLI!) / Multilevel Model
I'm testing L1 moderation models using Mplus.
I'm getting satisfactory fit indices for the model including my main predictor, then the model including a second ...
CommunityBot
- 1
1
vote
0
answers
81
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Moderation in linear mixed model
I ran a Linear Mixed Model in R with 2 centered predictors and a Group variable.
fit1a <- lmer(DV ~ Predictor1*Group + Predictor2*Group + (1|...), data)
One of ...
- 36.8k
0
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0
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24
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3 way interaction, residual plot showing clustering across fitted values, do I need to account for grouping in a different way?
I have created a model with a three way interaction, analyzing how taste of bread (fr2) decreases over time (time2), and how skill of the baker (skill2) impacts longevity of taste, across different ...
- 11
2
votes
0
answers
34
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Centering two level-1 variables to create interaction term before multilevel analyses? Thank you [duplicate]
I like to ask for some kind help from the readers here. I have a specific question on creating the interaction term from two level-1 variables before even running the multilevel analyses. Do you
mean-...
- 21
0
votes
1
answer
468
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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-...
CommunityBot
- 1
0
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0
answers
30
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Comparing Hierarchical regression models from the same sample
I'm running a survey where I'd like to compare three models with the same set of variables except for the moderator.
I'm looking for the strongest interaction effects as a foundation for subsequent ...
- 82.8k
1
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0
answers
276
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How to perform multilevel moderated mediation analysis with {mediate}
I'm attempted to run a multilevel moderated mediation analysis in R using the mediate package. Some details on my sample:
I have an experimentally manipulated ...
- 11
0
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0
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49
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Interpreting results from a glmm (lmer) with multilevel and interaction fixed variables
I am running my GLMMs on R to test whether the effect of breed on the acoustic parameters of meows is dependent on sex levels (sex*breed) and to test whether the ...
- 82.8k
1
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1
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706
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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 ...
CommunityBot
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3
votes
1
answer
1k
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Interaction term using year dummy with year & industry fixed effects model
Using a panel data from 2005-2020, I am trying to measure (1) if auditors charge more fees to the clients following a data breach and (2) if the level of response varys over time.
I came up with the ...
CommunityBot
- 1
3
votes
0
answers
415
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How should I specify a multi-level moderated mediation in lavaan?
I have a repeated measures crossover design where two treatments were delivered to all participants, and measurements of the mediator M and outcome Y were taken following each treatment. I also have a ...
- 43
1
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0
answers
204
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2-1-1 moderated mediation model with MLMED macro
I am using the MLMED macro to test a 2-1-1 moderated mediation model where repeated measures (Level 1) are nested within individuals (Level 2). Theoretically, my moderator is on Level 1 as it changes ...
0
votes
1
answer
63
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Between-person level interaction
I have a database called dat1. Each participant (id) had multiple measurements. One of the variables measures type of the stress called stress_type (acute=0, chronic =1) and another variable is the ...
- 2,825
1
vote
1
answer
166
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Group level interaction or mixed effects model
I have a model where I expect the relationship of my independent variable of interest and the dependent variable to decrease over time (year in my case).
Now I have three approaches to measure such a ...
- 102k
0
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1
answer
62
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Can I disentangle an interaction in a multilevel model by reordering factors?
I have a multilevel model with two factors (factor A - 2 levels; factor B - 3 levels) and continuous covariate, all of which interact. There is a random effect of participant and random slopes on the ...
- 21.3k
2
votes
1
answer
688
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The correct interpretating a three-way interaction in a linear mixed model analysis
Context
The purpose of this analysis is to examine sex differences in Bath Ankylosing Spondylitis Functional Index (BASFI) scores in Axial spondyloarthritis (axSpA) patients who are starting their ...
- 102k
0
votes
0
answers
64
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What is the difference between the multilevel/hierarchical models and including the moderator variable in multiple regression analysis?
I would like to ask about the difference between applying the multilevel/hierarchical models and including the moderator variable in multiple regression analysis. This is for considering the ...
- 69.5k
0
votes
1
answer
132
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Can I GROUPMEAN center one variable and not the second one involved in an interaction / Multilevel Model with L1 Moderation
I'm fitting a multilevel model with an L1 moderation on Mplus.
I am trying to demonstrate that the effect of X (independent variable / mean of scale items) on Y holds only when people do not make a ...
- 31.6k
0
votes
0
answers
114
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how to use graph_model in reghelper correctly
I spent so many hours trying to create bargraph for lmer in R but I cant find a way to get each condition group mean to vary.
I want to plot the following model
...
- 21
1
vote
1
answer
31
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Need help with analyzing data from within subjects design study
I am planning to conduct a within-subjects design study, and I am wondering if data analysis can be done using multi-level analysis.
IV and DV will be continuous variables. Moderator will be binary, ...
- 102k
1
vote
1
answer
111
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Correct notation for cross-level interaction
I am wondering if I am using the correct notation for a multilevel model with a cross-level interaction (i.e., a multilevel model with an interaction between level 1 and 2 covariates).
Let $Y_{tj}$ be ...
- 102k
0
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0
answers
66
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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}...
1
vote
1
answer
48
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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 ...
- 102k
0
votes
0
answers
683
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Multilevel structural equation modeling with interaction between latent variables: designing the model and choosing the appropriate software
This has been a bit of a conundrum I've been trying to solve for a while and relates to a question I asked a while ago.
I am trying to build a 4-level structural equation model (SEM) with latent ...
- 133
0
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0
answers
171
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How to conduct subgroup analysis for multilevel meta-analysis model?
I would like to compare meta-analytic estimates from 2 subgroups using the metafor package. I came across this helpful guide, but I am using multi-level models (for multiple effect sizes within ...
- 314
2
votes
2
answers
124
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interpreting intercept in lme4 when having within and between subjects variables and interaction
I am testing the effect of priority (which is a continuous within subjects factor) and viewing condition (which is a factor and a between subjects factor with 2 levels) on error. So the condition ...
- 65.8k
1
vote
1
answer
287
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What is the state of the art for analyzing a mediated moderation in a multilevel logistic regression context?
I had participants in two groups respond to a series of dichotomous decisions. I investigated the interaction between group (level 2) and a level 1 predictor X on the criterion Y. I could confirm this ...
- 10.7k
0
votes
1
answer
422
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How to interpret interaction becoming non-significant after removing one non-significant main effect from model?
I am interested in an between-within interaction in a hierarchical logistic regression. I start my analysis with a model including all theoretically relevant predictors, including the between factor A,...
- 65.8k
4
votes
2
answers
7k
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Evaluating effect sizes of interactions in multiple regression
I have been running 3-level multilevel models with HLM, and my main interest is in some cross-level interaction effects that I am finding. My concern is that the effect sizes of these interactions ...
- 82.8k
1
vote
1
answer
242
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Centring in three levels multilevel models with cross-level interaction
I am relatively new to multi-level models subject and find it challenging to connect theory to modelling.
My interest is to examine the moderation influence of green space (at level 3) on the ...
- 136
4
votes
1
answer
20
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Estimating an interaction effect when the data is collected not in a usual way
I am having a bit hard time analyzing the data I have.
59 participants all read two stories – one in Format A and one in Format B. In addition, participants each read one story about Birds and one ...
- 82.8k
1
vote
1
answer
435
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Redundant Parameters in Cross-Level Interaction: Mixed Modeling
I'm using SPSS to run a Mixed Model with two categorical (factor) predictors with an interaction between the two predictors. I get the following Estimates of Fixed Effects:
In the interaction I am ...
- 31
5
votes
1
answer
548
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How to interpret main effect with two interaction terms?
I have three variables in a multilevel model:
Relationship Status (0 = single, 1 = not single)
Living Arrangement (0 = alone, 1 ...
- 65.8k
0
votes
1
answer
32
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How to interpret interaction in the absence of main effect? Multilevel Modeling
What is the substantive interpretation of an interaction in the absence of a main effect? Statistically I understand that the interaction modifies the main effect, but how to interpret this from a ...
- 57.6k
0
votes
1
answer
27
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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). ...
- 5,890
2
votes
1
answer
2k
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Interaction in Hierarchical Regression
I need some helps to interpret results of a hierarchical regression that included an interaction in the last stage.
Dependent Variable is Well-being.
Predictors are A-H, as well as the interaction of ...
- 5,890
0
votes
1
answer
72
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3
votes
2
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295
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Multi-level / mixed-effect / hierarchical linear regression. Model and interpretation advice? [closed]
I want to run and then report a multi-level model on the ChickWeight data in R.
I have done several analyses of which I have a few questions. I've been told the AIC is a good way to test a model's ...
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0
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0
answers
241
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What statistical analysis to use for a diary study?
I was wondering which statistical strategy/technique is best for my research, which is a diary study. I have developed a theoretical framework, a mediated moderation model see figure below. All ...
- 1,622
4
votes
1
answer
163
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Cross levels or interaction term for repeated measures multilevel model?
I'm new to both regression and multilevel modelling, and I'm having trouble with the analysis for my experiment design.
For my study, we are having subjects come in and solve 2 problems. Each problem ...
- 65.8k
3
votes
0
answers
741
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How to run a moderated multilevel mediation in R?
I am trying to run a moderated multilevel mediation in R. I have encountered the mlma and bmlm packages, as well as Elizabeth Page-Gould's open-source code for testing indirect effects in multi-level ...
- 1,252
1
vote
1
answer
2k
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Are lower-order interactions a prequisite for three-way interactions in regression analysis? [duplicate]
I'm applying growth curve modelling and am interested in modelling a three-way interaction between predictors A x B x C.
From what I remember a condition for modelling three-way interactions in ...
- 1,119
0
votes
0
answers
25
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How to model and measure cross-level interaction among multiple levels of data
I have a weekly data at Brand Level, Sub Segment level and Segment level (the other two are derived from rolling up the Brand level data). The data includes product characteristics, sales, marketing ...
- 82.8k
3
votes
1
answer
4k
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interactions involving two continuous predictors with emtrends
Let's say I have a model with two continuous predictors (nitrogen and temperature) and one categorical variable (variety).
<...
- 508
2
votes
1
answer
2k
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Clustering and interactions in a multilevel model in R
We are conducting an individual participant level meta-analysis on a series of clustered randomised controlled trials, where we are mainly interested in an interaction effect with a characteristic (...
- 326
4
votes
2
answers
2k
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Cross-Level-Interaction without varying slope in Multilevel [duplicate]
Is it useful to include cross-level-interaction in multilevel (hierarchical) models without varying slopes (only varying intercept)?
A short example in R:
...
CommunityBot
- 1
2
votes
1
answer
42
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How do I specify an outcome variable (y) as count data using a poisson regression in a multilevel model?
I have three variables with multilevel data:
Level 1 DV: deviant behaviour
Level 1 IV: negative affect
Level 2 IV: consideration of others (personality trait)
Here is my model:
...
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