Fred Oswald
@FredOswald
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I-O psychologist (what is that? https://t.co/fGo7AJj5dl); Scrabble(R) player; aspiring raconteur; likes/retweets may-or-may-not-be = endorsement
Houston, TX
Joined December 2010
dad joke, stats edition: all these points lie on the same plane
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RT @SIOPtweets: Six Friday Seminars will provide #SIOP25 attendees with an opportunity to dive into the latest I-O psychology topics, inclu…
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RT @SIOPtweets: Join us for our AI in Action: Practical Applications for I-O Psychologists preconference workshop and build your capabiliti…
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@BA_Schuetze you're too kind :) I really enjoy making these! also, all feedback on how to make them better is welcome
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broadcasting live now A Pivotal Moment: Science and Technology For America's Future a presentation by @WHOSTP Director Arati Prabhakar, President Biden’s science and technology advisor
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@AJThurston @krichard1212 @BeatrizGietner Hi, AJ - haven’t read the paper, but thanks for tagging me, and I look forward to checking this out!
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RT @APA_Journals: Psychological Methods seeks nominations for up to three paid #editorialfellowship positions for early-career psychologist…
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RT @JaeJaeykim2: I've been on the academic and non-academic job markets and done (perhaps too) many interviews. I know some folks are still…
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Happy new year! As of January 1, the incoming editorial team at Psychological Methods is ready and excited to receive and review your submissions. We are fortunate to have 7 amazingly dedicated and talented Associate Editors (listed below), along with Nick Millington as our experienced manuscript coordinator. Your contributions are critical for keeping psychological methods innovative, useful, diverse, and impactful. No pressure in 2025 :D Please reach out to me at any time with questions (foswald@rice.edu), and stay tuned for more information about our incoming editorial team in the new year. Here we go! @APA_Journals
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Beyond the Hype: A Simulation Study Evaluating the Predictive Performance of Machine Learning Models in Psychology via @OSFramework @KriJanko
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@jtkulas yes, that's true as well - e.g., generalizability theory being a larger and important framework for thinking about sources of random/systematic error - and will do!
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@jtkulas right, to show an -ish, not an either/or, when it comes to reliability and validity thx for the feedback, and really enjoy your work (particularly:
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