A tutorial on Latent Change Score modeling for developmental cognitive neuroscience

Check out this new preprint: A tutorial on Latent Change Score modeling for developmental cognitive neuroscience, using Ωnyx and lavaan: https://t.co/gsGnE3xB8e

It also includes a Shiny app to simulate data: https://t.co/anKdF2QBc9
And a full code repository: https://t.co/uPOew08ZJj

Posted in Update

Fit indices for missing data (chi^2, RMSEA, CFI)

Great news! It took us long enough but we finally have implemented chi^2 and derived fit statistics for missing data. Ωnyx now separately estimates the log-likehood of the saturated model when data have missing values. So, we finally can offer you CFI and RMSEA under missing data.

Also, we have one thing with which we beat all other players. Now, Ωnyx has awesome background images. In the main menu bar (top of the screen), choose settings and enjoy! The images were provided by http://deathtothestockphoto.com.

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Latent Factor Score Estimation

Today, we are proud to release another update to Ωnyx. The latest version allows you to obtain latent factor scores. You can find this new feature in the model’s context menu Estimation -> Obtain Latent / Missing Scores. Choosing this option will create a new data set with all observed variables and additional columns with estimates for all latent variables.

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Mint and Camouflage

We are happy to release another update of Ωnyx with bug fixes and a couple of new features (see section Downloads for the latest version). Primarily, we fixed a couple of GUI-related problems with copy&paste and drag&drop, particularly so with definition and group variables. It seems that mean structures for lavaan scripts were not always correctly exported, so we added an explicit export of the mean structure when saturated means are selected in Ωnyx. Also, it seems we have “lost” the feature to hide variances from the graph, which now returned in the customize model menu.

As a new feature, you will find two new graph presets to play with: Mint and Camouflage (picture below):

Also, Ωnyx supports dotted and dashed path styles:

We would like to thank everybody for their great feedback that helped us improving Ωnyx a lot!

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Maintenance Update

We are happy to announce a maintenance release of Ωnyx 1.0. We are grateful for your positive feedback, which allowed us removing a couple of bugs in the former version. Particularly, we must mention that there were problems reported concerning the counting of degrees of freedoms when a saturated means structure was chosen. This issue was fixed. Also, some issues concerned drag&drop with definition variables, fullscreen mode in Unix, issues with mean structures in the export to sem-package, and issues with  reciprocal, asymmetric paths. All these were fixed.

For your convenience, we have added two new features. First, copy&paste now has two flavors: “Paste” and “paste and rename”. The former pastes copied variables and paths with the same name while “paste and rename” makes the pasted names of variables and paths unique. Furthermore, we have a new wizard that allows you to quickly create Latent Differential Equation models. See Steven Boker’s work for more details. You can find the wizard in the menu “Create new model”.

So long!

Posted in Update

New Chapter on Ωnyx in “Health Science Statistics using R and R Commander”

We are happy to announce the publication of Robin Beaumont’s book “Health Science Statistics using R and R Commander” (Scion Publishing; ISBN 9781907904318, which has a whole chapter on Ωnyx. We feel honored and are excited about the daily growing Ωnyx community out there. Thanks for being a part!

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New Video Tutorials: Multiple Group Factor Models and Transactional Models

We are happy to share with you two new video tutorials recorded by Prof. Timothy Curby (website; twitter). The videos show how multiple group factor analysis and transactional models can be done in Ωnyx. They are freely available on youtube:

Transactional Models in Ωnyx

Multiple Group Factor Analysis in Ωnyx

Posted in Update

Out now: Structural Equation Modeling with Ωnyx

We are happy to announce the online publication of our manuscript soon to be published in Structural Equation Modeling: A Multidisciplinary Journal.

We are allowed to share 50 online copies of it for free on a first come first serve basis:
http://www.tandfonline.com/eprint/K2GBpVswgTyJvPvXs9pY/full

Reference:
von Oertzen, T., Brandmaier, A.M., Tsang, S. (in press). Structural Equation Modeling with Ωnyx. Structural Equation Modeling: A Multidisciplinary Journal. doi:10.1080/10705511.2014.935842

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Ωnyx 1.0

We are happy to announce the release of Ωnyx 1.0. We are grateful for your positive feedback throughout the development process.

 

Among the new features in this release are:
– improved optimization engine
– external runners allowing to run OpenMx and lavaan as backend
– redo after undo
– improved handling of means modeling (by default, Ωnyx assumes a saturated means model)

We are looking forward to your feedback on the new version and we wish you a happy modeling time!

 

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Modern Modeling Methods (M3) Conference

We are pleased to announce that you will have the chance to hear about Onyx in the Modern Modeling Methods (M3) Conference, which takes place May 20-21. Find more information on their website: http://www.modeling.uconn.edu/. Deadline for registration is Friday, May 9. Timo von Oertzen will present on Onyx as part of the symposium on “Exploring the lavaan ecosystem: Packages to extend the capability of lavaan”. We are looking forward to meeting you there!

 

Posted in Conference