Professor, Assoc. VP Grad Studies @utahstateITLS; studies STEM expertise development, PhD education, cognitive load + motivation, and mixed methods (he/him)

Logan, UT
Moving on. The new service invokes a certain nostalgia.
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JUST OUT! A fusion of learning sciences, queer theory, and mixed methods, as well as a labor of great love with Colby Tofel-Grehl, Andrea Hawkman, @FTMathteacher, and others! tandfonline.com/doi/full/10.…
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RELEASED TODAY! My book, Mixed Methods for Psychological Measurement, is finally out! It presents theory and methods on how we can bring qualitative perspectives directly into measurement with applications for #CritQuant and #SituatedAssessment. taylorfrancis.com/books/edit…
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RELEASED TODAY! My book, Mixed Methods for Psychological Methods, is finally out? It presents theory and methods on how we can bring qualitative perspectives directly into measurement with applications for #CritQuant and #SituatedAssessment. doing.org/10.4324/9781003144…
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Again, I recommend reading more extensively to have a better grasp of important topics. Here’s another piece (not a meta-analysis in deference to your allergy). Flynn and others are explicit that the genetic link to IQ is tenuous: uva.theopenscholar.com/files…
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Happy to share a new article in Journal of Educational Psychology w @kayleelitson! We show in two studies that extraneous cognitive load harms self-efficacy within-time & intrinsic load bolsters it across-time. Implications for measurement and affective outcomes of instruction.
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Come join us November 16 at #ASHE2023 to learn how to access and use a free 8-yr longitudinal data set of PhD students/early career scholars in the biological sciences! Data set includes annual surveys, interview transcripts, and performance-based research skill assessments.
📢 Elevate your scholarly journey with our Research Methods Workshops! Explore cutting-edge methodologies with leading scholars. Available at #ASHE2023, Nov 16-18. Limited spots available, so register now at ashe.ws/researchworkshops202…
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Join us for training to access and analyze a large and unique data set that includes surveys, performance-based assessments, and interview transcripts collected from a national U.S. cohort over 8 years!
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Me trying to explain that simply because we have admitted too many doctoral students does not mean that we are justified in not paying a living wage… youtu.be/BKorP55Aqvg
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Come join us! @kayleelitson and I are offering an @AERA_EdResearch PD course to introduce a freely available mixed method longitudinal data set from a national study of bioscience PhD students. Data from matriculation into early career. aera.informz.net/z/cjUucD9ta…
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ALT Troll GIF

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Big meta-analytic findings!!! The GRE’s ability to predict graduate outcomes has decreased significantly over time as the diversity of graduate students has increased. Predictive value also decreases as samples include more People of Color. dx.doi.org/10.1080/00221546.…
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#JonesLecture @Brian_A_Burt shares his model of Wholeness in Graduate Advising. Such wonderful work!
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Replying to @IRIS_Founder
“Authentic” as realistically simulated, or in actual practice? If the former, I say immediately with deepening complexity per 4C/ID. If the latter, I would argue that substantially later in preservice training is better as there are real students involved whose education matters.
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⁦@icltc2022⁩
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This connection was rather titanic.

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Here’s the key paragraph:
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Check out the Routledge Handbook for Advancing Integration in Mixed Methods Research! Lots of great chapters, including ours on phenomenography as a platform for #MMR. amazon.com/dp/1138361062/ref…
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A day of infinite possibility…
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You know ISLS is desperate when they need *my* humor…
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Research skills relate to one another in a hierarchical way. The most challenging ones can be #thresholdconcepts that are key mastery goals for a #PhD. Here’s a new #Analytics approach to detecting them. @BakerEDMLab doi.org/10.1007/s11251-022-0…
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Happy to share a new study published in @JRSTpub with @jennifer_blaney and @kayleelitson! PhD student-faculty gender match doesnt impact student outcomes, but all students benefit more from women mentors suggesting gender inequity in mentoring skill/effort doi.org/10.1002/tea.21761
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One day someone will be able to explain to me why people think results like this constitute affirmative evidence of “validity.” 😒

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This is really smart and really important. Tenure wasnt intended to be a “research merit badge.” It was intended to be an institutional strategy to protect academic freedom and block political interference. De facto tenure offers that. aaup.org/sites/default/files…
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In new @JDHEtweets issue, we show that gender and race gaps exist in publications rates and widen over time. Gaps not explained by background factors, socialization experiences, or family obligations. psycnet.apa.org/doi/10.1037/…
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Umm… What??? “You keep using that word. I do not think it means what you think it means.”
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A few key slides from today’s talk. Note that the GRE always predicted negligible variance in outcomes and has gotten worse over time (and diversification of the grad student population) in the context of large publication bias inflating the estimated GRE-outcome relationship.
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Excited for tomorrow's talk presenting a new meta-analysis of the GRE's (in)ability to predict student outcomes at @ASHEoffice! Join @kayleelitson, Brinleigh Cahoon, and I to discuss implications of a changing population for the admissions utility of the GRE #gradschool #highered
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We are presenting our meta-analysis at @ASHEoffice this year, looking at the GRE’s ability to predict a wide array of outcomes. It started off bad and got worse: Overall it predicts only 4% of variance, with an increasing number of studies finding *negative* predictions recently.
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We have a new article in @JDHEtweets! Publication gaps for historically excluded doctoral students widen over time, independent of background factors, socialization experiences, or family obligations. doi.apa.org/doi/10.1037/dhe0…
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I’m running the SIG business meeting. Cant you tell?
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New article out with @kayleelitson rebutting Miller-Cotto & Byrnes (2020) claims about working memory models based on ECLS-K data w new analyses. Argues for the importance of properly modeling theories and separating within- and between-person variance. doi.org/10.1007/s10648-021-0…
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Excellent work, pushing the boundaries and bringing together research and practice!
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Join us for a Zoom panel on Equity in Graduate Education, featuring Drs. Kimberly Griffin (@doctorkag), Julie Posselt (@JuliePosselt), Hiro Okahana (@HironaoOkahana), & me. March 29, 9am PT/12pm ET. Sponsored by USU Chaos Learning Lab. RSVP for password:Chaoslearninglab@gmail.com
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It turns out that different demographic groups have different dynamics in research self-efficacy development over time in grad school. ⁦@kayleelitson⁩, ⁦@jennifer_blaney⁩, and I have a new article in Frontiers. doi.org/10.3389/fpsyg.2021.6…
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Our qualitative piece on the mentoring of graduate students by postdocs has made it into an issue! doi.org/10.1108/SGPE-08-2019…
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⁦@LisaLundgren21⁩, a continuing theme of ironic juxtaposition compliments of the campus newspaper...
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Beautiful illustration and explanation of why sample size and power matter. journalofcognition.org/artic…
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Replying to @DTWillingham
Clearly a thought leader! youtu.be/_ZBKX-6Gz6A
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Synthesizing person-environment fit and graduate socialization to understand PhD students’ selection of labs and PIs. An exciting collaboration with colleagues including @annie_woff. Take a look: lifescied.org/doi/pdf/10.118…
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Journal F the Learning Sciences
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Here they talk about the Face API. What am I missing?
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