Preprints are early versions of research articles that have not been peer reviewed. They should not be regarded as conclusive and should not be reported in news media as established information.
An Exploratory Examination of the Use of Co-Occurrence Network Analysis to Assess the Anxiety and Beliefs in College Students When Performing Mathematical Computation
preprintposted on 2020-02-03, 23:02 authored by Christoper MagalisChristoper Magalis, Rick Parente, Jaclyn Kenney
This study used used co-occurrence network analysis to study the experience of college students when solving statistics or algebra problems. Students generated words to describe their perceptions of solving a standard deviation problem and a quadratic computation. Results indicated that the statistics problem was associated with words indicating "anxiety" and "confusion". Conversely, words, such as "relaxed and "familiar" were used to describe solving the quadratic computation. Additionally, rating scales measuring statistics anxiety, math anxiety, and math helplessness, showed that meth anxiety tended to predict statistics anxiety for all students, above and beyond math helplessness.
Declaration of conflicts of interestN/A
Corresponding author email@example.com
Lead author countryUnited States
Lead author job roleHigher Education Lecturer
Lead author institutionTowson University
Ethics statementPLEASE NOTE: THIS STUDY WAS APPROVED BY THE TOWSON UNIVERSITY INSTITUTIONAL REVIEW BOARD: APPROVAL NUMBER: #1703016533
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