Exciting news at #FloridaStateUniversity! 🍢 The Campus Reimagined Initiative just nailed a new patent, poised to revolutionize the campus experience! 👏🏛️ Huge shoutout to QMI Director Yaacov Petscher and the stellar patent team for making it happen!

🔍 Zooming in on co-development nuances! Meet CCR & ACM – metrics designed for precision in understanding individual co-development. No more relying solely on visual judgments. Dive into our tutorial for insights! 📈💡

📚 New research by @aedwards1010 & @yaacovp highlights the significance of individual differences in co-development, shedding light on a previously unexplored aspect. Learn more at:

RT @TheFCRR: “We don't want our research to just sort of sit in a paper that some people read, we want those ideas to be engineered so that…

A recent study highlights the need for improved screeners in identifying children at risk for reading problems. Correlation between screener and outcome must be >.9 for good classification. Reliability and multiple measures play a key role.

RT @TheFCRR: Please Join us for a talk on Data Validation led by Dr. Jamie DeCoster, Research Associate Professor at the University of Virg…

🔍📖💡 Curious about the impact of reading and mindset interventions? This study by Donegan, @JeanneWanzek, @yaacovp, and @Steph_AlOtaiba of 360 fourth-grade students explored their effects on mindset, word attack, and reading comprehension outcomes.

New study introduces the Reentry Well-Being Assessment Tool to measure well-being during the transition from imprisonment to the community. Using confirmatory factor analysis, 13 unidimensional factors were identified.

📚👀 Dive into the fascinating world of eye movements during reading! A large-scale study tracked 363 children from grade 1-3. Results revealed nonlinear growth trajectories for most eye-movement measures, with rapid development slowing down near Grade 3.

📊🔬 Unveiling the truth about internal consistency estimators! 🤔💡 this study by @aedwards1010, @keanan_joyner, and @schotz dives deep into the accuracy of six popular reliability estimators, comparing their performance in various simulated conditions.

Combining large data sets can provide accurate estimates and sufficient power for complex research questions. Check out this article for a user-friendly method that addresses challenges of measurement invariance and missing variables.

Understanding dyslexia as a cumulative effect of risk and resilience factors can help identify and address potential factors to offset the risk. Evidence for the multifactorial causal basis of dyslexia is reviewed in this article by @CattsHugh & @yaacovp

A recent study finds that college students experience varying degrees of reading anxiety, which relates to reading fluency, enjoyment, and self-perception. The development of a reliable 10-item scale provides insight into this under-researched area.

Research suggests modeling techniques can provide a deeper understanding of vocabulary development and links to instruction. Learn about the four types of confirmatory factor analysis models that can inform vocabulary research and instruction. (pdf)

Design and Methodology in the Science of Reading.

Evidence-based risk-resilience model offers new ways to identify and address dyslexia, with implications for early intervention efforts.

Research indicates that using MAP assessment can inform effective intervention strategies for students. Three-factor model identified through confirmatory factor analysis, w/ 5 subgroups of students showing differentiated scores on standardized measures.

Longitudinal data from Grades 1 - 3 shows that word reading, not listening comprehension, is the primary driver for the development of reading prosody in English-speaking children. Findings suggest that reading prosody is a complex, multidimensional skill.

Cutting reading distribution to form distinct groups is problematic for studying development in populations with and without dyslexia. Instead, this study modeled and visualized the parallel growth of WR and NWR longitudinally in a developmental sample.

Wagner, Moxley, @schotz, and Zirps evaluate a Bayesian probabilistic framework for identification of individuals with dyslexia #dyslexia #BayesianModels #research