Questions tagged [path-model]

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13 views

Is a reversed path analysis a nested model? (SEM)

I'm trying to compare whether a forward/direct path analysis is a better fit to the same data than a reversed model. I'm using the SEM function of the ...
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1answer
27 views

Should allowing multiple DVs to covary in SEM influence beta coefficients?

I am running a replication study to test a model with 8 IVs and 3 DVs (all variables are continuous). In the initial study, I had a moderate sample (≈ 200), and thus relied upon multivariate multiple ...
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14 views

Alternatives to SEM/Path analysis with smaller sample size

I have a study design with one between groups independent variable with five levels (different behaviours). I then have a number of latent dependent variables, measured by self-report questionnaires. ...
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16 views

Effect size of a correlated random variable in logistic regression (path analysis)

I've discovered something using simulations, which I've so far failed to prove formally. Considering a univariate logistic model, $logit(y)=\beta_0+\beta_1 x$ where $x$ is discrete and causal. ...
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17 views

Conditional Indirect Effects and Then Probing

I am performing a moderated mediation as shown below. In this particular example, this is depicted as a "second-stage moderated mediation". According to Muller et. al. 2005, moderated mediation ...
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20 views

What is the correct interpretation when a mediation analysis reveals that the effect of X on Y is stronger when M is included?

This is a simple question and about what it sounds. I was just wondering what the interpretation should be for mediation analysis when the effect of X on Y is stronger when M is included? So the ...
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0answers
21 views

How can I model non-normal latent factors in a factor analysis or SEM?

We are running a confirmatory factor analysis (covariance-based SEM form) with three latent variables for around 900 companies. The input is around 20 variables: 5-6 are perfectly normally distributed ...
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3 views

Statistically analyze path planning strategy effectiveness based on motion samples

My research concerns robot path planning. I want to demonstrate that a robot is more successful using one path planning strategy over another. In these scenarios, two robots are competing, and a ...
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1answer
34 views

Path analysis model fit statistics. RMSEA = 0.106

Hi folks, My path analysis is using primary data that I've collected for a uni project. After removing the very non-signif variables, I have a model (which I hypothesised) that seems to work pretty ...
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10 views

Difference in analysis between latent and observed variables in Mplus

I would like to ask what is the difference between the analysis being run on latent and observed variables in a full SEM being run in Mplus. I've been recommended to change the factors within the CFA ...
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1answer
41 views

When a distance in Dynamic Time Warping is said to be 'short' or 'optimal'?

I'm doing a research on Dynamic Time Warping and I wasn't able to find a certain number to be considered an optimal distance. I wonder if there exists some value or it depends on the datasets ...
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7 views

time-series + pooled OLS combined in a Path Model (or SEM)

I am wondering if I can combine time-series regression with pooled ols regression in one path model (or SEM). Let's say I have a basic path model like this: [Police Stop] -> [crime incidence] -> [...
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1answer
294 views

How to control for demographic variables in Path Analysis?

I am running a series of path analyses using AMOS and could desperately use some help around how to control for confounding demographic variables; Q1. I have read that while some demographic ...
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53 views

Is this an acceptable approach to SEM / Path Analysis?

I want to test a model in which all possible paths between variables are captured (see fig 1) and then upon reviewing the path coefficients, remove non-significant paths (fig 2). Obviously with fig 1 ...
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9 views

By including covariance between mediating variables does my model become recursive?

I am conducting a path analysis and am interested in the mediating effects of two variables (var 3 & 4) which I expect to be correlated with one another. By including covariance between residual ...
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53 views

Path Analysis - Can my model include covariance between residuals of endogenous variables?

I am conducting a path analysis and want to include two mediating variables (Variables 3 & 4) which I believe will be correlated with one another. I don't want to specify the direction of this ...
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1answer
373 views

Structural equation models in econometrics vs psychology, political science, etc

Can anyone tell me if the sort of the sort of simultaneous equation/structural equation modeling of economic relationships that that was championed and to some extent developed out of the Cowles ...
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1answer
95 views

SEM: issue with two correlated latent variables

I am fitting a SEM model that includes socio-economic status (SES) for a household and environmental conditions (env) surrounding this household (road condition, sanitation etc). My (obvious) ...
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1answer
332 views

Interpretation and formulation of SEM path coefficients?

Trying to interpret and write down my SEM results, but not sure if this is 1. correct and 2. well formulated. This is what my models and parameters look like (first unstandardized, then standardized): ...
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1answer
101 views

Disagreement between p-values and bias corrected CI in path analysis

I am conducting a path analysis that include estimation of indirect effects (i.e. mediation). For each indirect effect specified in the model (a1*b1), I have both a p-value and a 95% boostrapped CI. ...
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1answer
69 views

Estimating direct and total effects in path model (mediation)

I am testing mediation effects in this path model. How should I define the (1) direct and (2) total effects in this model? Is the below correct? (1) Direct= c1*c2 (2) Total= (c1*c2)+a1*d21*b2
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52 views

Path analysis with two mediators and reciprocal causation

I am trying to fit a path analysis which predicts a participant's binary choice of either a safe or a risky option. I am using a 2x2 design which includes multiple mediators. My big question is how to ...
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168 views

Interpretation of Sequential (Serial) Mediation Effect (vs. Cross-lagged panel model)

I would like some clarification on the interpretation of the significant indirect effect involving "d21", when the two mediators (M1, M2) are the same constructs measured at two consecutive time ...
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1answer
65 views

Path analysis of latent variable relationships over time for hypothesis testing

Consider that I have a sample of 30 people (my real data are much bigger), and we ask them how often the would like to eat three types of food (candy, vegetables, and meat) at four points in their ...
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1answer
313 views

Low average variance extracted (AVE) for a construct that measures self-reported behavior

I want to use a latent variable as a dependent variable in a path analysis. The indicators of the variable are self-reported behaviors like donate to an environmental NGO, recycle, and use public ...
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1answer
154 views

Specifying a null model for path analysis [closed]

I'm struggling with the final step (or technically what should have been the first step?) of making a null model. In the article, the authors state that the null represents a situation where none of ...
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1answer
412 views

RMSEA confidence interval interpretation

Using Amos for a multi-group path analysis, my model of choice, the "measurement weights" model has an RMSEA value of .033 a LO value of .000, a Hi value of .065, and PCLOSE value of .784. Is it an ...
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1answer
201 views

Understanding the non-identifiability and handling of categorical variables in SEM

I have three questions about SEM and I'll ask the questions using an example that I have been working with. The dataset has employment (emp), addiction (...
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0answers
24 views

Finding most valuable paths

I am trying to analyze a data set of user journeys. My data looks as follows ...
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1answer
29 views

Confirmatory Factor Analysis - Variance Parameters - Error Variance Estimates

I am referring to a confirmatory factor analysis output. I am curious to know how do we interpret the "Variance Parameters" Output containing the "error variance estimates" if the predictors are ...
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1answer
44 views

Problems evaluating whether there are structural group differences in my path analysis model

I want to evaluate if I there are structural group differences (two groups) in my path analysis model. I compared the models with and without allowing group differences (lavaan:: sem(..., group =)): ...
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0answers
33 views

Added variables to my path analysis model are significant predictors but model fit is worse?

I want to test if there are additional moderation effects to my existing model. The moderation effects (variables are centered) are significant, but the model fit gets significantly worse (lavaan). ...
2
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1answer
203 views

How to explain negative residual covariance in cross-lagged SEM?

Question in short: If I see a positive (significant) residual covariance between two endogenous variables in a cross-lagged SEM for the first lag and a negative (significant) residual covariance for ...
2
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1answer
102 views

Path Analysis in the Presence of a Conditioned-Upon Collider

In path analysis (i.e., DAGS as linear structural equation models), where all relationships between variables are assumed to be linear, you can compute the association between two variables by ...
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68 views

Effect Size/Variable Importance in Pathmodell with metric and binary predictors (using mplus)

i want to calculate the following Path-Model: I got 4 variables refering to a specific place or spot (like a climbin-rock). There are 2 Liking ratings, one cheap/expensive rating and one young/...
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1answer
293 views

Assumptions of path analysis when multivariate normal distribution is violated

I'm creating my first path analysis model with lavaan (R package). The assumption of multivariate normal distribution, however, is violated. Also, in the regression M1 ~ X1 + X2 (mediator ~ exogenous ...
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1answer
237 views

How do I get path coefficients in mediation model from ADE and ACME (mediation package)?

I am conducting a mediation analysis with the mediation package in R. As a result I get values for an average direct effect (ADE) and an average causal mediation effect (ACME). In the literature such ...
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0answers
108 views

How and when to use multiple comparison tests

There seems to be some variability in WHEN multiple comparison tests such as Bonferroni or FDR might be implemented. Type 1: One might carry out multiple one-way ANOVA's to see whether or not there ...
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1answer
52 views

Question about Path analysis

I conducted a path analysis for my dissertation, I am not sure how should I interpret the follow result? Non significant direct or indirect paths between IV and DV1,DV2,DV3. Significant path between ...
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2answers
61 views

Structural Equation Modeling (SEM) across different time periods

I am using SAS to fit SEM to cross-sectional data from 2015. My theoretical model fits well with the data. Because I also have data from 2005 onward, I was thinking to fit the model with 2005 and 2010 ...
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1answer
46 views

mediate() vs lavaan, missing path coefficients, 2SLS does not resolve

Doing a straightforward mediation analysis, a => b => c (indirect effect) and a => c (direct effect). If I do this in mediation::mediate(), I get ...
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1answer
17 views

Check my logic on direct and indirect effects

Skill A and Skill B are both directly related to Skill C. Skill C is directly related to Skill D. Skill A and B do not have significant direct relationships with Skill D. Skill A and B can be ...
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0answers
136 views

Path analysis vs linear model

I am not very familiar with path analysis, but was wondering why you would select this analysis to assess the relationships among variables rather than just fitting a generalized linear (or non-linear)...
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1answer
77 views

Constructing a unified path analysis model from several datasets each with different combinations of variables

I have four observational experiments (data sets) that I wish to combine and summarize in a single path analysis model. Each experiment is 3-dimensional but the observables and therefore dimensions/...
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0answers
122 views

Intercept of latent variable underlying an observed categorical Variable

In Structural Equation Modeling one approach to deal with categorical Mediators is the "underlying latent variable approach". However using this approach e.g. with the MPlus software, only thresholds ...
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1answer
1k views

Difference between PLS regression and PLS path modeling. Criticism of PLS

This question was asked here but no one gave a good answer. So I think it's a good idea to bring it up again and also I would like to add some more comments/questions. The first question is what is ...
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1answer
712 views

Longitudinal cross-lagged SEM with categorical data

I have a dataset where $X$ (binary), $Y$ (binary) and $Z$ (4-category ordinal) are repeated measurements taken at three different time points. I assume the direction of the relationship among these ...
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0answers
246 views

Difference between Path analysis and Interaction term in a linear model

I have a simple model, where two variables, $A$ and $B$ both cause $y$. However, $A$ also causes $B$. The standard way to account for this (in a linear regression setting) is an interaction term, ...
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1answer
190 views

measurement error, path analysis

I have used a path analysis without any latent variable. I know that measurement error is a huge issue in mediation models. I also know that parceling is one way to deal with measurement error, but ...
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0answers
69 views

Causal Inference Between Linearly Related Measures Using Solomonoff Induction Approximation

Solomonoff Induction is considered the gold standard for machine learning because it can learn causal structure with the minimum error. However its chief component, the Kolmogorov program ...