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106CATHERINE PARKER (WASHINGTON COLLEGE), LEANDRA BACHE (WASHINGTON COLLEGE), LAUREN LITTLEFIELD (WASHINGTON COLLEGE) Timers are common tools used during tests. When administering testing, it's important there are a limited number of factors affecting performance. How does access to a timer impact scores and stress levels on speeded information processing tasks? Lower performance and higher stress were caused by the presence of a timer on two separate tests. Exploratory analysis revealed a main effect of lower performance in those reporting higher ADHD symptoms. Practical implications are discussed.POSTER 72THE RELATIONSHIP BETWEEN SALIVARY FERRITIN AND PERFORMANCE ON ATTENTIONAL TASKSMYA MERRILL (MORGAN STATE UNIVERSITY), ANTOINE HUGHES (MORGAN STATE UNIVERSITY), INGRID TULLOCH (MORGAN STATE UNIVERSITY) This study aimed to investigate the relationship between salivary ferritin levels, self-reported ADHD symptoms and attentional task performance in African American college students. An enzyme-linked immunosorbent assay of participant saliva assessed ferritin levels. Participant responses to demographic questions, scores on the ADHD self-report scale symptom checklist (ASRS-V1.1) and ferritin levels are evaluated using correlational analysis. The results and implications of the findings will be discussed in a poster presentation.POSTER 73THE ROLE OF THE DEFAULT MODE NETWORK IN SOCIAL PREFERENCESLILY FRY (ADELPHI UNIVERSITY), JORAN DEJOIE (ADELPHI UNIVERSITY), CAROLINE SEIFEN (ADELPHI UNIVERSITY), DOMINIC FARERI (ADELPHI UNIVERSITY) The autobiographical memory system contains social and non-social memories of the self. Evidence suggests these memories are valued and activate neural networks supporting reward-processing and social cognition. Using behavioral and fMRI data, we investigate how activity within the default-mode network is associated with desire for personal experiences. We hypothesize that increased defaultmode network activation when imagining personal social experiences correlates with participants' indicated preference for those social (relative to nonsocial) activities in a later task.POSTER 74UNDERSTANDING SCIENTIFIC METHODOLOGY PREDICTS VACCINE COMPLIANCE AND COVID-19 RISK ESTIMATION.BRYNN CASTELLANI (WASHINGTON COLLEGE), RILEY MCHUGH (WASHINGTON COLLEGE), AUDREY WEIL (WASHINGTON COLLEGE) We compared the effects of two measures of scientific literacy on COVID-19 risk estimation and vaccine hesitancy. One measure focused on knowledge of scientific facts and another focused on understanding the process of research and application of information. Understanding the scientific process showed stronger predictive power for COVID-19 risk estimation and vaccine compliance than scientific knowledge, supporting the importance of teaching people to effectively engage with scientific communication and research methodology.POSTER 75UNPACKING MISPRONUNCIATIONS: THE COGNITIVE-LINGUISTIC ROLE OF RECODING VERIFICATIONLAUREN MELOCOWSKY (UNIVERSITY OF CONNECTICUT), ALLISON KALVA (UNIVERSITY OF CONNECTICUT), FUMIKO HOEFT (UNIVERSITY OF CONNECTICUT), SILVIA CLEMENT-LAM (UNIVERSITY OF CONNECTICUT) This study examines the role of recoding verification (RV) in children's reading skills, focusing on its links to various cognitive-linguistic skills. RV was positively correlated with word reading, phonological awareness, vocabulary, sentence reading fluency, and sentence repetition. Regression analyses showed RV uniquely predicts reading skills beyond vocabulary, phonological awareness, and sentence repetition. These findings highlight RV as a key mechanism bridging phonological decoding and semantic comprehension, emphasizing its importance in reading development.POSTER 76USING CLOZE TESTS TO ASSESS THE PROBABILITY OF AI AUTHORSHIPGRACE RACICOT (SUNY PLATTSBURGH), STEVE MANSFIELD (SUNY PLATTSBURGH) Detecting AI-generated essays has become crucial in confronting academic dishonesty. Our study shows that cloze tests (where every fifth word in a student's essay is blanked out and the student is asked to fill in the missing words) can help assess the likelihood of AI use. For example, if a student correctly completes 106