Research Symposium

BIO

Tamarine Penland is from Fairfax, Virginia, and is a second-year undergraduate student at Florida State University majoring in Public Health with a minor in Chemistry on the Pre-Physician Assistant track. She is an active student on campus and is a member of the Honors Program. Tamarine has also been recognized on the President’s List for multiple semesters for her academic achievement. She is particularly interested in research in clinical and psychological fields, especially studies that explore mental health and evidence-based clinical interventions. Under the mentorship of Dr. Richard Wagner, Tamarine has participated in dyslexia research, which closely aligns with her interest in understanding learning differences and the role of cognitive processes in education and mental health. Through this work, she has developed a strong interest in research that can strengthen clinical practice and improve outcomes for individuals with learning and psychological challenges. Tamarine plans to pursue a Bachelor of Science degree and continue on to Physician Assistant school.

Multi-Variable Predictors of Dyslexia : A Meta-Analysis​

Abstract

This study investigates the prevalence and factors regarding individuals that have dyslexia or other neurobiological learning disabilities. Utilizing the model-based meta-analysis, MASEM, our research team reviewed and extracted previous research. The primary database for inclusion/exclusion of relevant full-text articles was Covidence. The search string from Covidence included previous research from APA PsycInfo, ERIC, Pubmed, and Dissertation & Theses Global. Researchers analyzed data based on specific inclusion/exclusion criteria to narrow down the intended population for data extraction. While 9099 studies were screened for review, only 3571 full-text studies were successfully assessed for eligibility. After the exclusion process, 1515 studies were included in the meta-analysis, containing constructs such as orthographical processing and phonological awareness. Future research will analyze correlational and group-difference data to determine certain predictors of dyslexia. These findings may show promising approaches that can help guide educational practices, early intervention, and clinical support.

Keywords: dyslexia, meta-analysis, psychology, Covidence, learning disability