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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 ...
user3697176's user avatar
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3 votes
0 answers
416 views

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 ...
Ben Smith's user avatar
3 votes
0 answers
741 views

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 ...
JElder's user avatar
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2 votes
2 answers
965 views

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 ...
MEM's user avatar
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2 votes
0 answers
123 views

Is a three-level multilevel model appropriate for my research question?

For a study that is currently in the planning stage we are considering what kind of model would be most appropriate. We are interested in the interactive effect of a drug (vs. placebo) and hormone ...
Charlotte.Van's user avatar
2 votes
0 answers
530 views

Multilevel Binary Logistic Instrumental Variables Regression

Context I have hierarchical data where individuals ($i$) are nested in groups ($j$) and am interested in examining the degree to which a continuous group-level variable ($X_j$) moderates the effect ...
user122095's user avatar
1 vote
0 answers
38 views

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 ...
Jacob Weverka's user avatar
1 vote
0 answers
81 views

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 ...
KayAnn's user avatar
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1 vote
0 answers
276 views

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 ...
Ethan Milne's user avatar
1 vote
0 answers
204 views

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 ...
Angelos Panagiotopoulos's user avatar
1 vote
1 answer
31 views

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, ...
Torkor's user avatar
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1 vote
1 answer
48 views

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 ...
BLS22's user avatar
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1 vote
0 answers
34 views

what does it mean when A and B are non-significant but the interaction of the two is significant?

I carried out hierarchical regression model using stepwise method and included interaction terms (predictor variable x moderator variable) in the third step of the model. It was found that only ...
Sennett Leung's user avatar
1 vote
0 answers
876 views

testing interaction term in hierarchical regression model

I'm now testing my hypotheses using a fixed effects model for panel-data (NBA). It's strongly balanced data. Because my hypotheses include two-way interaction and three-way interaction effects, I test ...
Y Kwon's user avatar
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1 vote
0 answers
306 views

How to estimate and interpret Cross-Level Interaction and Conditional Effect in SPSS?

In my model I estimate the cross level interaction between: micro level variabel: hours spent on paid work (0 to 84 hours) macro level variable: income compensation for parental leave 0 = no ...
Hannah's user avatar
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1 vote
0 answers
77 views

Unbalanced dyadic design (multilevel model)

I study the physiological linkage between patients and doctors. I have 100 patients and only 15 doctors. The aim of my research is to examine the physiological concordance between physician's heart ...
Marta's user avatar
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1 vote
0 answers
508 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 ...
confused_about_moderation's user avatar
1 vote
0 answers
65 views

Data Analysis Question from a Stats Novice (Hierarchical Multiple Regression and sample size assumptions)

I'm working on my dissertation and have only a very basic knowledge of stats. I am assuming all of you have a much better understanding and I need some clarification: I am comparing two groups (...
nshewey's user avatar
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1 vote
0 answers
897 views

Hierarchical Regression Moderator Analysis

I ran a 2-block hierarchical regression to test for moderation. In the first block I entered the centered IV and centered moderator variable (MV) and in the second block I entered my centered ...
user74089's user avatar
1 vote
0 answers
122 views

Include lower level (2-way and 3-way) interactions in 3-level multilevel model?

I have a three level multilevel model (therapists, patients, repeated measures) in which I have included 4-way interactions, for instance: therapist self-efficacy * treatment condition * patient on ...
Kim J's user avatar
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1 vote
0 answers
1k views

How do you assess a three-way interaction in a generalized multi-level model?

I am unsure which statistical tests I should use in order to follow-up my three-way interaction. I used to split my file and run the analysis twice per group, but as I read in the paper by Hayes & ...
user9203's user avatar
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0 votes
1 answer
35 views

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 ...
whydidistartthis's user avatar
0 votes
0 answers
24 views

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 ...
Jackson's user avatar
  • 11
0 votes
0 answers
30 views

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 ...
GT87's user avatar
  • 153
0 votes
0 answers
49 views

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 ...
Alice 's user avatar
0 votes
1 answer
63 views

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 ...
MAIMAU's user avatar
  • 11
0 votes
0 answers
64 views

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 ...
Reem Alqarni's user avatar
0 votes
0 answers
114 views

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 ...
numpynp's user avatar
  • 21
0 votes
0 answers
66 views

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}...
user1205901 - Слава Україні's user avatar
0 votes
0 answers
683 views

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 ...
Pål Bjartan's user avatar
0 votes
0 answers
171 views

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 ...
JRB's user avatar
  • 501
0 votes
1 answer
132 views

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 ...
MEM's user avatar
  • 31
0 votes
1 answer
32 views

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 ...
Brigadeiro's user avatar
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). ...
Nate's user avatar
  • 1
0 votes
0 answers
241 views

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 ...
user avatar
0 votes
0 answers
25 views

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 ...
Satwik's user avatar
  • 101
0 votes
0 answers
82 views

Interaction term between a continous and ordinal variable in a multilevel regression

I want to compute an interaction term between the variable individual income (1-level) and the gini coefficient (2 level) in a multilevel model. Unfortunately, the income variable is categorical ...
Eli's user avatar
  • 35