Comments (3)
Hi! Before looking into it further, can I ask if this the final model you are interested in? If so, wouldn't it make more sense to just model this using linear regression? All the "constructs" (both IV and DV) seem to be single items, along with interactions.
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Actually, I've run the regression too!
But I try to take a look at the path coefficients of these variables using SEM.
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Hi @shu9911 I'll still try to make time to see what is happening here, but apologies that it will not be a first priority as the use case (a regression path model) is a bit outside the intended usage. I do feel that it needs to be resolved at some point though.
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Related Issues (20)
- Problem with estimate_pls I got an Error HOT 4
- Bootstrap error in seminr model HOT 6
- Error: 'subscript endogenous_items must be a simple vector, not a matrix'
- Bootstrapping error: zero variance items cannot be scaled
- predict_pls: Subscript `endogenous_items` must be a simple vector, not a matrix
- Significance of correlations between constructs
- allow bootstrapping for time series
- Missing Value Error when estimating the model HOT 5
- Error in if ((mmMatrix[mmMatrix[, "construct"] == construct, "type"][1] == : missing value where TRUE/FALSE needed" HOT 3
- Problems in using the specific effect significance function in multiple mediating constructs HOT 2
- bootstrap_model errors with near-zero-variance binary variables HOT 1
- Error when calling summary() for HTMT in bootstrap_model HOT 1
- missing # character in csem2seminr.Rd example HOT 7
- Error in first_stage$construct_scores[, moderator] : subscript out of bounds
- problems when trying to select particular elements of a factor, when the formative model argument (mode_B) is included
- Error in predict_pls function HOT 2
- The plot() function for a PLS model displays two paths for each indicator related to a factor .
- Bootstrapping in SeminR is not working
- Error in as.POSIXlt.character(x, tz, ...) : character string is not in a standard unambiguous format" HOT 2
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