Sebastian Castro-Alvarez
@SeCastroAl
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Postdoctoral researcher at the University of California, Davis. Interested in psychometrics and intensive longitudinal data. 🇨🇴
Davis, CA, United States
Joined March 2021
Thank you for checking it out! 🙏
This paper on intensive longitudinal reliability by @SeCastroAl & @bringmann_laura is one of the best I've read in a while -- the review so was thorough, the code was fantastic, and it answered every question I had about IL reliability. Def check it out!
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RT @master_mccs: La Fundación Carolina ha abierto la convocatoria de una beca para estudiantes de América Latina que quieran cursar el Mast…
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RT @JPBarrientosH: ¡Qué felicidad! Cerramos el año de la mejor manera: @Casa_Macondo entró al shortlist de los True Story Awards con la inv…
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Go check out our latest preprint! Thank you @EikoFried and colleagues for sharing the data. It has been very interesting and insightful data to work with!
1/2 Our new preprint shows how to estimate internal consistency reliability in EMA data: ➡️n~1150, 3 months data, 4 scales ➡️6 nomothetic & idiographic methods ➡️2 timescales (4/day, 1/week) ➡️2 languages (ENG vs NL) ➡️separation of between & within person reliability.
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RT @LeonieVogelsm: Now online: 📏Assessing and Accounting for Measurement in Intensive Longitudinal Studies: Current Practices, Consideratio…
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Excited to share our latest preprint in collaboration with @bringmann_laura, Jason Back, and Siwei Liu. In this manuscript, we explain different approaches to estimate the reliability of ESM data while showing how to use them with empirical data.
The Many Reliabilities of Psychological Dynamics: An Overview of Statistical Approaches to Estimate the Internal Consistency Reliability of Intensive Longitudinal Data
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RT @Damiano_Durso: No-data psychometric testing with a click! NLP and AI will boost psychometric testing research quality and speed. Based…
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Code to fit the model in @mcmc_stan and custom R functions to assess its goodness of fit are available in the GitHub repository associated with both papers:
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The last paper of my PhD: "Assessment of fit of the time-varying dynamic partial credit model using the posterior predictive model checking method", is finally out! In collaboration with Sandip Sinharay, @bringmann_laura, Rob Meijer, and Jorge Tendeiro
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RT @JournAlvarez: You know you’ve made when you see your first print byline is a front page article @queenseagle. S/o to @jacob_kaye_ for t…
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RT @GinetteLafit: Are you doing research with ESM & wondering how to make your data ready for analysis? Check the new preprint introducing…
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@OACerebro Otra manera de compartir el manuscrito como open access seria subirlo en alguno de los repositorios de preprints como arxiv o psyarxiv, mientras que este permitido por la revista. Saludos.
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