Dorota Reis | @[email protected]

occupational health, methods & open science.

[Universität Saarland @Saar_Uni]

Psychologen suchen Probanden, denen „Abschalten“ nach Feierabend schwerfällt. Über einen Zeitraum von acht Wochen werden die Probanden befragt und können dann an einem wissenschaftlich fundierten Online-Training teilnehmen (Foto: olly - Fotolia): https://t.co/Lko4i8JBiL

[Kristoffer Magnusson @krstoffr]

New interactive post: "Understanding Maximum Likelihood"

I try to illustrate the maximum likelihood method. I've also included the likelihood ratio test, Wald test, and Score test.

https://t.co/LlWcgOkw8t

[Frank Harrell @f2harrell]

Terrific commentary by @d_spiegel on ANDROMEDA study, raising serious questions about how Hardwicke and Ioannidis handled their survey of signatories to the 'end of significance' letter. https://t.co/hEUsbBcO1W

[Nick Jacobson @NC_Jacobson]

🚨🚨Tweet storm🚨🚨! New meta-analysis just about app efficacy in @Nature_NPJ

Interesting discussion from some thought leaders including @EricTopol @DDEbert @DavidCMohr @JohnTorousMD @joefirth7

VERY IMPORTANT read this carefully as the abstract doesn't tell the full story (1)

[Grant McDermott https://bsky.app/profile/gmcd.bsy @grant_mcdermott]

Reminder:

Bootstrapping is the most intuitive way to teach inference in introductory stats courses. And the only reason we don’t is because of outdated pedagogy.

https://t.co/0mJSDe5xks

[Dorota Reis | @[email protected] @dororeis]

So we tried to write a registered report with a complex experience sampling design. Turns out it's possible 😊 Such a great experience! @ZureckElisabeth #openscience #perfectionism #detachment #jobstress

[PsyArXiv-bot @PsyArXivBot]

The Role of Trait and State Perfectionism in Psychological Detachment From Daily Job Demands https://t.co/i0QU4HqvNK

[Dorota Reis | @[email protected] @dororeis]

@tcarpenter216 I'm using @ProfAndyField 's An Adventure in Statistics (for psych undergrads):
1st semester: descriptives, dataviz, & basics in inference (p-value, CIs, power, effect size -> one sample z- & t-tests.
2nd semester: model assumptions, corr, regression, t-tests, ANOVA & mod. regr.

[Laurenz Meier @laurenz_meier]

We are looking for unpublished empirical studies on crossover effects from work to nonwork and from nonwork to work in couples.
Thanks a million for your help!

#OHPsych #metaanalysis @SocietyforOHP @ea_ohp @WFRN @workfamilyhlth @EAWOP @SIOP
https://t.co/Zj0X3qlkS4

[Dorota Reis | @[email protected] @dororeis]

#FridaysForFuture

[Dan McNeish @dmcneish18]

New Paper: DSEM in Mplus with small samples.

DSEM sample size needed to rely on default priors can be large given model complexity. Paper goes through how to create weakly informative priors in the absence of previous studies or expert opinions.

https://t.co/XSxrjnG3Rz

[Dan McNeish @dmcneish18]

New version of the DSEM primer preprint has been posted, now with updated explanations, clarifications, and code based on comments from the DSEM guru herself, Ellen Hamaker.

https://t.co/hcNosjbmIm

[Rich Lucas @rlucas11]

@robchavez Okay, wrote up a post about what I did to get R/Exams to work for me: https://t.co/xemW4E5CKr

[JK Flake 📈📏 @JkayFlake]

Prepping for class and came across this tutorial relating standard multilevel models to the structure of meta analysis data (written by my MLM prof!). It discusses choices made in meta analyses and how options differ across R, SPSS, and SAS. https://t.co/oDBmKxhwT4

[Dorota Reis | @[email protected] @dororeis]

We are teaching raincloud plots to 1st-year psych undergrads as the new "state of the art" in dataviz 👍 To make this easier for R-beginners, @axrhart has written code for creating them without the need of sourcing custom geoms @rogierK @sauer_sebastian #rstats

[axrhart @axrhart]

Made a version of @micahgallen's raincloud plots that works with #ggplot2 built-in geoms. https://t.co/scKGLsP7ZI

[Dorota Reis | @[email protected] @dororeis]

@DomMaciejewski Little bit late to the party ;) …but I could take a look. Is the syntax lavaan or mplus?

[Dorota Reis | @[email protected] @dororeis]

WOW! Really cool „for people who got lost in more technical literature“ 😅

[Dan McNeish @dmcneish18]

New preprint on basics of DSEM in Mplus

https://t.co/hcNosjbmIm

The goal was to walk-through correspondence of each line of code to each part of the model and the interpretation for people like me who had never used these models before and got lost in more technical literature.

[Dorota Reis | @[email protected] @dororeis]

@dmcneish18 @JkayFlake +1 for Hox, Moerbeek, & @RensvdSchoot With this book your students get both, an intro into cross-sectional and longitudinal multilevel models. Plus, for the 3rd edition, Rens added great Bayesian explanations ;)

[Dorota Reis | @[email protected] @dororeis]

@shravanvasishth @seriousstats tbh, I couldn't find the "obscure" platform any more, but you can buy the ebook at https://t.co/edSgm0rVjS However, the ebook has DRM.

[Dorota Reis | @[email protected] @dororeis]

@seriousstats @shravanvasishth I have the hard copy AND the pdf from the obscure platform 🙈 - for full-text search. Your book is really my favorite! Meanwhile, an official ebook is available at a discounted price - but still with a very restrictive DRM 🙁

[Dorota Reis | @[email protected] @dororeis]

@danielk_bcu @matherion @LauraMKoenig @BCU_PsychPhD @chrisdc77 I'm not sure. I'm planning to try a full RR with my PhD student. After R1 there are almost no changes to the design. So at this point, you can start setting up the materials, planning the recruitment, etc. This is not "extra" time.