Analyzing Songs Used for Lyric Analysis with Mental Health Consumers Using Linguistic Inquiry and Word Count (LIWC) Software
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University of Kentucky UKnowledge Theses and Dissertations--Music Music 2017 Analyzing Songs Used for Lyric Analysis With Mental Health Consumers Using Linguistic Inquiry and Word Count (LIWC) Software Ashley M. Miller University of Kentucky, [email protected] Author ORCID Identifier: http://orcid.org/0000-0002-5030-0584 Digital Object Identifier: https://doi.org/10.13023/ETD.2017.180 Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Miller, Ashley M., "Analyzing Songs Used for Lyric Analysis With Mental Health Consumers Using Linguistic Inquiry and Word Count (LIWC) Software" (2017). Theses and Dissertations--Music. 88. https://uknowledge.uky.edu/music_etds/88 This Master's Thesis is brought to you for free and open access by the Music at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Music by an authorized administrator of UKnowledge. 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Miller, Student Dr. Olivia Yinger, Major Professor Dr. Michael Baker, Director of Graduate Studies ANALYZING SONGS USED FOR LYRIC ANALYSIS WITH MENTAL HEALTH CONSUMERS USING LINGUISTIC INQUIRY AND WORD COUNT (LIWC) SOFTWARE THESIS A thesis submitted in partial FulFillment of the requirements For the degree Master oF Music in Music Therapy in the College oF Fine Arts at the University oF Kentucky By Ashley Marie Miller Lexington, Kentucky Director: Dr. Olivia Yinger, Director of Music Therapy Lexington, Kentucky 2017 Copyright © Ashley Marie Miller 2017 ABSTRACT OF THESIS ANALYZING SONGS USED FOR LYRIC ANALYSIS WITH MENTAL HEALTH CONSUMERS USING LINGUISTIC INQUIRY AND WORD COUNT (LIWC) SOFTWARE Lyric analysis is one of the most commonly used music therapy interventions with the mental health population, yet there is a gap in the research literature regarding song selection. The primary purpose oF this study was to determine distinguishing linguistic characteristics of song lyrics most commonly used for lyric analysis with mental health consumers, as measured by LIWC2015 soFtware. A secondary purpose was to provide an updated song list resource For music therapists and music therapy students working with the mental health population. The researcher emailed a survey to 6,757 board-certiFied music therapists, 316 oF whom completed the survey. Respondents contributed 700 different songs that they deemed most eFFective For lyric analysis with mental health consumers. The researcher used the LIWC2015 software to analyze the 48 songs that were listed by Five or more music therapists. Song lyrics contained linguistic indicators oF selF- focused attention, present-focused attention, poor social relationships, and high cognitive processing. Lyrics were written in an inFormal, personal, and authentic style. Some lyrics were more emotionally positive, while others were more emotionally negative. While results must be interpreted with caution, it may be helpFul to consider linguistic elements when choosing songs for lyric analysis with mental health consumers. KEYWORDS: Lyric Analysis, Music Therapy, Mental Health, Song Selection, LIWC Ashley Marie Miller April 28, 2017 ANALYZING SONGS USED FOR LYRIC ANALYSIS WITH MENTAL HEALTH CONSUMERS USING LINGUISTIC INQUIRY AND WORD COUNT (LIWC) SOFTWARE By Ashley Marie Miller Olivia Swedberg Yinger Director of Thesis Michael Baker Director of Graduate Studies 4/28/17 ACKNOWLEDGMENTS As I sit here attempting to express my gratitude to the individuals who have shaped my personal and proFessional liFe, I am at a loss For words. I have been incredibly blessed with Family, Friends, and mentors who have supported, encouraged, and loved me through times oF great joy and through times oF great diFFiculty. Without all oF you, I would not be where I am today. Mom and Dad, you taught me that my worth is not tied to my achievements, yet you have always supported my dreams. I thank you For all oF the sacriFices you have made in order to be my constant cheerleaders. I love you both so much. I would like to thank my music therapy mentors, whom I am honored to call friends. Darcy, Petra, Jessy, and JenniFer, you pushed me to reach my Fullest potential and taught me to trust myselF. Thank you For always believing in me. You have each impacted my liFe more than you know. To Amelia and Melissa, without your help I could not have completed this study. Thank you for your hours of assistance with song lyric file preparation. Thank you to Dr. Lorna Segall and Dr. Michael Hudson For serving on my thesis committee. Dr. Segall, though I have only known you For a year, your enthusiasm For music therapy and For liFe has truly inspired me. Finally, I would like to thank my incredible thesis advisor, Dr. Olivia Yinger. I am humbled by the amount oF time and energy you have invested in me over the past two years. Your door was always open whenever I was in need of guidance or a listening ear, and I am eternally grateful. You care so deeply for your students and work tirelessly on our behalf. Thank you for your overwhelming support. iii TABLE OF CONTENTS Acknowledgments .................................................................................................................................... iii List of Tables ............................................................................................................................................... vi List of Figures ............................................................................................................................................ vii Chapter One: Introduction ...................................................................................................................... 1 Operational DeFinitions ............................................................................................................. 2 Purpose ............................................................................................................................................ 3 Chapter Two: Review of Literature ................................................................................................... 4 Mental Illness ................................................................................................................................. 4 Anxiety Disorders .......................................................................................................... 4 Major Depressive Disorder ....................................................................................... 7 Mental Illness and Suicide ......................................................................................... 8 Summary ........................................................................................................................ 10 Music Therapy and Mental Illness ..................................................................................... 10 Transdiagnostic Theory .......................................................................................... 11 Goal Areas Addressed ............................................................................................... 11 Research Outcomes ................................................................................................... 12 Summary ........................................................................................................................ 13 Lyric Analysis and Mental Illness ....................................................................................... 13 Overview ........................................................................................................................ 13 Lyric Analysis Process .............................................................................................. 14 Song Selection .............................................................................................................. 15 LIWC Software and Mental Illness ..................................................................................... 16 LIWC