Onyx

Onyx is a Structural Equation Modeling (SEM) Graphical User Interface.

It is designed to allow users to build and fit SEMs intuitively and fast, to ease the introduction of Structural Equation Models for beginners, and simplify the transition to more complex SEM scripting languages.

Onyx is developed in cooperation of the Mathematical Psychology Lab at UVa and the Formal Methods Project at the Max Planck Institute for Human Development.

Onyx provides import from and export to OpenMx.

Hi,
I am a beginner to both SEM and Onyx..., but see both as highly useful for my research field, plant ecology.

Playing around with a model including many variables, i find that i have to reapply model customization over and again when i compare models with the clone and drag-compare method.

Would it be possible to let clones inherit the customization of the parent ? (path style, show/hide variances etc.)

Many greetings and thanks for a wonderful software !

Thure

Hi there!

I'm exploring Onyx with great interest as a possible recommendation to my students (instead of AMOS).
In order to familiarize myself with Onxy, I am comparing the results of the Tutorial CFA example with those from AMOS and Mplus. The results in AMOS and Mplus are very similar to each other. Results in Onyx are similar for parameter estimates, but very different for model fit.

It appears that Onyx is calculating the degrees of freedom differently.

Hello,

Hello,

I'm new to using Onyx, and really enjoying it. Right now, my only issue is a cosmetic one.

Hello,

I'm a novice in structural equation modeling. I am curious if Onyx works for the following experimental design:

There are 2 treatment variables (T1, with 2 levels; and T2, with 3 levels; each with 3 replicates) and 3 response variables (R1, R2, R3). I'm interested in how each of the T variables affects the R variables, as well as if this relationship changes depending on the level within each T variable. I'm also interested to know how R3 is related to R1 and/or R2.

I've been trying to match the variances reported by Onyx with those reported by AMOS. Following the example in the AMOS User Guide, I've created a model with four observed variables (recall1, recall2, place1, place2 in the file Attg_yng.xls file) connected to each other with double-headed arrows to determine the covariances of the variables, as is done in AMOS.

Hi,

I'm new to both SEM and Onyx as my question probably shows.

An SEM model that I've specified with Onyx has the symbol with an exclamation mark displayed, and the associated message tells me that the model is overspecified.

Onyx FAQs notes, "If you obtain this error, you have most likely included more freely estimated parameters in your model than there are observed statistics. Try to fix freely estimated parameters or remove paths."

However, Onyx's Estimate Summary reads:
Observed Statistics : 65.0
estimated Parameters : 24

Is the an equivalent to Onyx for diagramatically producing R code for data preparation, such as recoding data, creating new variables, matching/merging datasets, etc?
Peter

Ωnyx (Version 0.9-534), the graphical user interface for SEMs with automatic code generation to OpenMx code is released. You may download Ωnyx for free at onyx.brandmaier.de. Any comments about your experiences with Ωnyx are welcome at this forum.