2021 Research, Creativity & Community Involvement Conference

Permanent URI for this collectionhttps://scholarworks.montana.edu/handle/1/16222

The MSU Billings Research, Creativity & Community Involvement Conference (RCCIC) provides a great opportunity for undergraduate and graduate students of all majors to present their research and creative scholarship in a public forum. The conference is hosted every year on the MSUB campus, sponsored by the Office of Grants and Sponsored Programs, the University Honors Program, and Montana IDeA Networks of Biomedical Research (INBRE). The RCCIC is not a competition, but a celebration of the research and creative projects currently being carried out by MSUB students. All submissions are reviewed and approved by the sponsors prior to presentation or publication to ScholarWorks.

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    Mathematics for Social Justice
    (Montana State University Billings, 2021-04) Fisher, Elizabeth; Day, Corinne (Faculty Mentor)
    This research project shares findings from my study of Social Justice Mathematics (SJM), which is mathematics that focuses on promoting equity within the mathematics classroom, but also on empowering students to understand and confront inequities outside the classroom. As part of my project, I created my own SJM lesson featuring Indian Education for All. In this lesson, students will learn through math that there is something happening on the reservations that is causing them to have higher rates of COVID cases and subsequently more deaths. In this lesson, students will calculate the percentages of current COVID cases for each demographic population in Montana and analyze data and identify discrepancies in COVID rates among ethnic groups. This lesson helps students start conversations about why this is occurring, how federal policy affects life on American Indian Reservations, and discuss what they can do to try to help change this.
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    Relationship between Language Patterns and Antisocial Personality Disorder
    (Montana State University Billings, 2021-04) Goettlich, Kiah; McMullen, Matthew (Faculty Mentor)
    Background:Presently the diagnosis of personality disorders, particularly those that are concerned with manipulative traits such as those associated with Antisocial Personality Disorder, are extremely time consuming and variable from clinician to clinician. With the rise of social media platforms personal writings over time have become more widely available. If a new system of analysis were to be utilized as a way to help clinical assessments it could significantly reduce the time invested as well as the reliability of the data. Aim:This study was meant to investigate whether there are quantitative differences in language patterns of those identified with a personality disorder (through the use of the MCMI-III) and those without. Approach: Deidentified transcripts of the Adult Attachment Interview were formatted so that text-analysis could be run using the R-studio (Version 1.4.1103) software. The transcripts that were identified as persons with the disorder were randomly paired with those that were identified as not having the disorder. The content analysis included the complexity of the text through the use of each group's lexical diversity, lexical density, and word count. Sentiment analysis was run which assessed not only the number of positive words versus negative but also the most common words under each of those sentiments. Similarly, overarching themes can be seen when the most frequently used words of each condition are compared by themselves and then in pairs (using the bigrams data frame). Results:Based on previous research in this area, it was expected that those with the personality disorder would show themes that are more negative in nature (e.g., aggression, fear, etc.). When the sentiment analysis was run there were differences in common words based on sentiment. However, there were not significant differences when the analyses for the texts complexity were compared.
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