Illinois State University Illinois State University
ISU ReD: Research and eData ISU ReD: Research and eData
Theses and Dissertations
10-23-2019
The Comparison of Live Therapist Delivered Music to Original The Comparison of Live Therapist Delivered Music to Original
Artist Recording Interventions on Reminiscing Responses in Artist Recording Interventions on Reminiscing Responses in
Adults with Alzheimer's Adults with Alzheimer's
Rajahna Desiree Schneekloth
Illinois State University
Follow this and additional works at: https://ir.library.illinoisstate.edu/etd
Recommended Citation Recommended Citation
Schneekloth, Rajahna Desiree, "The Comparison of Live Therapist Delivered Music to Original Artist
Recording Interventions on Reminiscing Responses in Adults with Alzheimer's" (2019).
Theses and
Dissertations
. 1342.
https://ir.library.illinoisstate.edu/etd/1342
This Thesis is brought to you for free and open access by ISU ReD: Research and eData. It has been accepted for
inclusion in Theses and Dissertations by an authorized administrator of ISU ReD: Research and eData. For more
information, please contact [email protected].
THE COMPARISON OF LIVE THERAPIST DELIVERED MUSIC TO ORIGINAL ARTIST
RECORDING INTERVENTIONS ON REMINISCING RESPONSES IN ADULTS WITH
ALZHEIMER’S
RAJAHNA DESIREE SCHNEEKLOTH
49 Pages
Background: As the growing number of older adults diagnosed with Alzheimer’s
disease is resort to living in residential care facilities, this population requires purposeful
activities in which they can improve and maintain their quality of life. Studies have shown that
music therapy positively influences older adults in typical settings such as hospice or other
residential care facilities, by providing a source of investigation in to the reminiscing aspect of
their memory.
Purpose: This study targets the qualitative and quantitative values of reminiscing
responses by comparing the data received from a non-musical baseline response, an original
artist recorded musical response, and a live therapist delivered musical response. Prior to this
study, there has not been former research conducted on comparing the effects of live therapist
delivered music to original artist recorded music on these reminiscing responses of older adults
diagnosed with middle-stage Alzheimer’s.
Method: A music therapy graduate student facilitated all three conditions with four
female participants in this study. Participants were randomly assigned treatment conditions. All
sessions were audio recorded for manual transcription by two certified transcriptionists. All
transcriptions were processed through the Linguistic Inquiry and Word Count software system to
compare the quality and quantity of the reminiscing responses across nineteen variables.
Averages between the two copies of transcriptions were followed by a two-tallied t-test in order
to analyze the significance between the conditions.
Results: Live therapist delivered music produced the most words reminisced compared
to the original artist recorded condition and the non-musical baseline condition, however original
artist recorded music had higher responses in eight of the nineteen variables assessed.
Conclusion: Although only two variables had a statistical difference between conditions,
recorded music elicited more words per variable than the live music condition and the non-
musical condition. Further research will determine if there is a greater difference in overall
responses between the two methods of music delivery to older adults diagnosed with
Alzheimer’s.
KEYWORDS: Music Therapy; Reminiscing; Episodic Memory; Alzheimer’s; Live Music;
Recorded Music; Quality of Life; Elderly Adults
THE COMPARISON OF LIVE THERAPIST DELIVERED MUSIC TO ORIGINAL ARTIST
RECORDING INTERVENTIONS ON REMINISCING RESPONSES IN ADULTS WITH
ALZHEIMER’S
RAJAHNA DESIREE SCHNEEKLOTH
A Thesis Submitted in Partial
Fulfillment of the Requirements
for the Degree of
MASTER OF MUSIC
School of Music
ILLINOIS STATE UNIVERSITY
2020
© 2020 Rajahna Desiree Schneekloth
THE COMPARISON OF LIVE THERAPIST DELIVERED MUSIC TO ORIGINAL ARTIST
RECORDING INTERVENTIONS ON REMINISCING RESPONSES IN ADULTS WITH
ALZHEIMER’S
RAJAHNA DESIREE SCHNEEKLOTH
COMMITTEE MEMBERS:
Andrea M. Crimmins, Chair
Cindy R. Ropp
Daniel Lannin
i
ACKNOWLEDGMENTS
I would like to thank all of the clients in my care who have inspired me to pursue this
research and who have contributed to my enjoyable and rewarding experiences with music
therapy. I would also like to thank my graduate cohorts who have been the greatest support
system throughout my entire graduate school experience. Furthermore, I appreciate the
encouragement and support from friends and family who are quite far from where I call home.
I would also like to express my deepest gratitude to Dr. Andrea Crimmins, Associate
Professor at Illinois State University, for guiding me through the entire research process, as well
as enhancing my knowledge and love for the field of music therapy. I thank Dr. Cindy Ropp,
Associate Professor at Illinois State University, for giving me constant feedback and helping me
become the most successful music therapist I can be. Lastly, I thank Dr. Dan Lannin, Assistant
Professor at Illinois State University, for fostering my curiosity in evaluating reminiscent
responses, in addition to maintaining my interest in psychology.
A gracious thank you to my friend and graduate music therapy cohort Mark Richins for
the hours spent transcribing the recordings. I could not have done this without you. Another
thank you to my statistician Zhiyuan Chen, actuarial science graduate student at Illinois State
University, for helping me on such short notice and for answering all of my questions at all hours
of the night. This study would not have been complete without you.
A special thank you to Patrizia Brady for allowing me to work with the residents at your
facility and for believing in the power of music therapy. I will be forever grateful for your
devotion in helping me with my study.
R. D. S.
ii
CONTENTS
Page
ACKNOWLEDGMENTS i
TABLES iv
FIGURES v
CHAPTER I: INTRODUCTION 1
Alzheimer’s Disease and Older Adults 1
Quality of Life in Older Adults 2
Research Purpose Statement 2
Research Question 3
Definition of Terms 4
CHAPTER II: REVIEW OF RELATED LITERATURE 6
Live Music Compared to Recorded Music 7
Music Preference with Older Adults 8
Musical Influence on Reminiscing Responses 9
CHAPTER III: METHODOLOGY 12
Participants 12
Setting 12
Interventions 13
Baseline 13
Recorded Music Condition 13
Live Music Condition 14
Research Design 14
iii
Procedure 15
Transcribing Data 16
LIWC Software 17
CHAPTER IV: RESULTS 20
Data Analysis 20
Participant 1 24
Participant 2 27
Participant 3 30
Participant 4 33
CHAPTER V: DISCUSSION AND CONCLUSIONS 36
Discussion of Results 36
Limitations of the Study 37
Clinical Implications 40
REFERENCES 41
APPENDIX A: LETTER OF INFORMED CONSENT 45
APPENDIX B: BASELINE CONDITION QUESTIONS 47
APPENDIX C: MUSICAL CONDITION SCRIPT AND QUESTIONS 48
APPENDIX D: WITHIN SUBJECTS PAIRWISE COMPARISON CHART 49
iv
TABLES
Table Page
1. Order of Conditions Received by Participants 15
2. Transcription Reliability Ratings 17
3. Linguistic Inquiry and Word Count Definitions of Variables 18
4. Percentage of Words Spoken per Linguistic Inquiry and Word Count Software
Across All Participants 23
5. Percentage of Words Spoken per Linguistic Inquiry and Word Count Software
Variable within Each Condition for Participant 1 27
6. Percentage of Words Spoken per Linguistic Inquiry and Word Count Software
Variable within Each Condition for Participant 2 30
7. Percentage of Words Spoken per Linguistic Inquiry and Word Count Software
Variable within Each Condition for Participant 3 32
8. Percentage of Words Spoken per Linguistic Inquiry and Word Count Software
Variable within Each Condition for Participant 4 34
v
FIGURES
Figure Page
1. Averages of Total Word Count of Participants Across Conditions 21
2. Averages of Word Counts for Participant 1 Across Conditions 25
3. Averages of Word Counts for Participant 2 Across Conditions 28
4. Averages of Word Counts for Participant 3 Across Conditions 31
5. Averages of Word Counts for Participant 4 Across Conditions 33
1
CHAPTER I: INTRODUCTION
According to the U.S. Census Bureau, by 2035 there will be 78 million people over the
age of 65 living in the United States (United States Census Bureau, 2018). As a result, “baby
boomers” will outnumber the youth in America. More elderly adults will soon find themselves
living in care facilities, such as general hospitals or nursing homes. As expected with the
increased population of older adults, there will also be an increase of older adults being
diagnosed with Alzheimer’s disease. The Centers for Disease Control and Prevention (CDC)
reports nearly 14 million people with be diagnosed with Alzheimer’s disease by 2060 (2018).
Alzheimer’s Disease and Older Adults
Alzheimer’s can be diagnosed as a major or a minor neurocognitive disorder based off of
the intensity of qualifying characteristics. Persons diagnosed with probably Alzheimer’s disease
contributing to a major neurocognitive disorder must present one of two conditions: 1. Evidence
of a genetic mutation causing Alzheimer’s disease or 2. Demonstrating clear decline in memory
and learning, showing a steady decline without extended plateaus, and having no evidence of
mixed etiology. Persons diagnosed with probably Alzheimer’s disease contributing to a minor
neurocognitive disorder must have evidence of a genetic mutation causing Alzheimer’s disease,
either through genetic testing or based off family history. Persons diagnosed with possible
Alzheimer’s disease contributing to mild neurocognitive disorder must have a clear decline in
memory and learning, showing a steady decline without extended plateaus in memory, and have
no evidence of mixed etiology (Diagnostic Statistical Manual of Mental Disorders, 2013, p. 611-
614).
The Diagnostic and Statistical Manual of Mental Disorders (2013) classifies Alzheimer’s
as a neurocognitive disorder. The impairments of this growing population can extend from
2
physical ailments to decreases in cognition. Common conditions effecting this population
include, but are not limited to, visual or hearing loss, cardiovascular disease, diabetes, cancer,
arteriosclerosis, and memory loss (Palmer, 1977).
In addition to biological and physiological ailments, older adults also suffer from
emotional distress. The Alzheimer’s Association (2019) describes signs of middle-stage
Alzheimer’s symptoms as persons having communication deficits (such as jumbling of words),
difficulties with activities of daily living (such as dressing and bathing), and struggling with
following a daily routine. This leads to various emotional conditions such as depression, the loss
of independence, and difficulties maintaining a sense of identity (Melendez, Torres, Redondo,
Mayordomo, & Sales, 2017). The criteria set forth for middle-stage Alzheimer’s was
incorporated into this study when recruiting participants.
Quality of Life in Older Adults
With the increase of older adults living in additional care facilities, such as nursing
homes, retirement communities, or general hospitals, transitions into a new environment highly
affect their mental health and quality of life (Palmer, 1977). Especially for persons diagnosed
with Alzheimer’s and other types of neurocognitive disorders, it is even more important for these
residents to find activities that will enhance their lives (Clair, Bernstein, & Johnson, 1995).
Music therapy is a non-invasive treatment strategy to help increase the quality of life of older
adults. The present study seeks to compare how quality of life can be enhanced through
reminiscence.
Research Purpose Statement
This study compares the effects of live therapist delivered music and original artist
recorded music on individuals diagnosed with middle-stage Alzheimer’s disease in order to
3
examine differences in episodic reminiscent responses. It has been suggested that one musical
condition has a stronger influence over the elicited responses than the other musical condition.
The quantitative component of this study extrapolates the differences in overall number of words
elicited per participant within each condition, in addition to the percentages of grammatical parts
of speech within the total number of words elicited. The qualitative component of this study
analyzed the different parts of speech utilized through the Linguistic Inquiry and Word Count
(LIWC) software.
The participants in this study are four individuals living in an assisted living facility
focused on caring for persons with Alzheimer’s. The facility’s activities director recruited these
participants for the study. Each participant consented to participate in the study through a power
of attorney. Before each non-musical or musical conditions were implemented, the researcher
obtained verbal assent from each participant before beginning the experiments. All sessions
were audio recorded for manual transcription in order to find the elicited words from each
participant for comparison of quantitative and qualitative responses.
Each participant began by receiving a non-musical treatment. Following the non-musical
condition, participants were randomly assigned to receive either the live therapist delivered
music condition or the original artist recorded music condition first. The second musical
condition the participants received was the opposite from the first musical condition randomly
assigned to them, so that all participants received both the live therapist delivered musical
condition and the original artist recorded musical condition.
Research Question
Music therapy is an evidence-based, musical intervention-focused profession used to
address individualized goals within a therapeutic relationship (American Music Therapy
4
Association, 2019). Research has shown that music therapy specifically elicits reminiscent
responses from persons diagnosed with Alzheimer’s disease. The purpose of this study is to
compare the effectiveness of live therapist delivered music compared to original artist recorded
music when eliciting reminiscing responses from persons diagnosed with middle-stage
Alzheimer’s disease.
Studies have supported the use of music therapy interventions to elicit episodic
reminiscent responses from persons diagnosed with Alzheimer’s disease (Bartlett & Snelus,
1980), yet there is currently a gap in the literature pertaining to comparing live therapist
delivered music to original artist recorded music when working with the population of middle-
stage Alzheimer’s persons specifically. In addition, literature is inconclusive on live music being
more effective than recorded music when presented to participants. Based on Silverman’s 2003
study, it has been suggested that live therapist delivered music will elicit more quantitative and
qualitative reminiscent responses because participants were seen to be more attentive and active
during the live music condition than the recorded music condition. The research question poses
the following: Is there a difference in reminiscing responses with older adults diagnosed with
Alzheimer’s when receiving live therapist delivered interventions or original recorded artist
interventions?
Definition of Terms
Throughout the study, the term Alzheimer’s disease (AD) will be classified as a decrease
in the ability to learn and remember new information (Melendez, Torres, Redondo, Mayordomo,
& Sales, 2017). Two subcomponents of Alzheimer’s disease that are discussed are episodic
memory and reminiscence. Episodic memory is defined as a person recalling specific personal
5
experiences (Krause & Corts, 2012). For the purpose of this paper, reminiscence will be defined
as talking about a past experience (Cambridge Dictionary, 2019).
6
CHAPTER II: REVIEW OF RELATED LITERATURE
Music therapy is one type of non-invasive treatment for persons diagnosed with
Alzheimer’s to help offer enrichment that improves their quality of life (Hays & Minichiello,
2005; Solé, Mercadal-Brotons, Gallego, & Riera, 2010). For example, in Solé, Mercadal-
Brotons, Gallego, and Riera’s 2010 study, 83 participants participated in one of three musical
activities: choir, music appreciation, or a preventative music therapy program. Participants were
asked to rate their quality of life during the first month of musical activities, and again during the
final weeks of the activities. Although the results were not statistically significant,
improvements in quality of life were seen after attending musical activities from pre-test to post-
test.
Music therapists have worked with Alzheimer’s patients to target specific functional
outcomes to improve their qualities of life (Koger, Chapin, & Brotons, 1999). Therapists have
incorporated singing exercises as a way for patients to express themselves when typical forms of
speech are too intense for the patients to produce (Dassa & Amir, 2014), as well as utilize
singing as a reenergizing stimulus for patients (Pricket & Moore, 1991). Engaging in musical
activities by Alzheimer’s patients shows physical responses to music, such as tapping their
fingers and toes to the rhythms and moving their bodies to the music (Olson, 1984). Since being
more active is essential to combat the negative health effects of leading more sedentary lives,
music therapy provides an outlet to target multiple physical and cognitive symptoms of memory
loss (Hays & Minichiello, 2005; Solé, Mercadal-Brotons, Galati, & De Castro, 2014)
In addition, music therapy techniques have assisted in increased socialization between
patients, especially when discussing music from their pasts. In addition, music therapy has been
proven to increase positive emotions, a sense of accomplishment, and feelings of belonging
7
(Dassa & Amir, 2014; Solé, Mercadal-Brotons, Galati, & De Castro, 2014). Furthermore,
researchers have utilized music therapy techniques to assist in reality orientation outcomes for
patients diagnosed with Alzheimer’s (Palmer, 1977; Riegler, 1980). Melendez, Torres,
Redondo, Mayordomo, and Sales’ 2017 suggests reminiscing can help persons diagnosed with
dementia to reconnect in the present with family and friends during conversation. There are
innumerable ways in which music therapists can assist persons diagnosed with Alzheimer’s
when it comes to their mental, physical, and psychological health.
Live Music Compared to Recorded Music
The primary focus of this study is to compare the effectiveness of live music compared to
recorded music when eliciting reminiscing responses from persons with Alzheimer’s disease. A
germinal work in the field, Moore, Staum, and Brotons’ 1992 study indicates that the participants
consistently preferred live performances with recorded piano accompaniment. Although there
has not been research conducted on the effects of live music compared to recorded music when
working with Alzheimer’s persons specifically, other research studies have tested the
effectiveness of live versus recorded music on other populations to see if one form of musical
presentation produces different outcomes compared to the other form (Bailey, 1983; Silverman,
2014; Silverman, 2003; Moore, Staum & Brotons, 1992).
In contrast to the previous studies, Silverman (2003) analyzed the differences between
live, recorded, and mixed musical presentation styles across 19 studies. Silverman concluded
both live and recorded music had an effect on psychosis symptoms, however there were no
statistically significant differences between the two. Silverman states, “an argument against this
case might state that live music employs more of the senses (visual and auditory) and distracts
the patient from their withdrawn world more than recorded music” (p. 37). Bailey (1983)
8
investigated the effect of live singing and guitar playing compared to tape-recorded music on the
mood statuses of 50 hospitalized cancer patients. Bailey emphasized, “the tape-recorded form of
music presentation naturally does not possess the human elements that the live form of music
presentation does” (p. 26). Based off of the findings of Bailey’s 1983 study and Silverman’s
2013 study, live music is hypothesized to have a greater effect on episodic reminiscing
responses.
In Silverman’s 2014 research study, differences between four testing conditions are
discussed: “live educational music therapy, recorded educational music therapy, education
without music, or recreational music therapy without education” (p. 228). Silverman found that
participants felt a higher level of support from friends under the live educational music condition
when compared to the recorded and recreational music conditions. Findings from Silverman’s
research influenced this study’s research design by implementing a non-musical condition in
addition to live and recorded music conditions to compare reminiscent responses across
conditions. The current study will look at the differences between therapist-delivered live music
compared to original artist-delivered recorded music.
Music Preference with Older Adults
An extensive amount of research studies has been conducted to deduce the musical
preferences of elderly persons (Gibbons, 1977; Bartlett & Snelus, 1980; Moore, Staum, &
Brotons, 1992; Jonas, 1991; Otto, Cochran, & Johnson, 1999; Dassa & Amir, 2014). Most
notably, Gibbons’ (1977) sought to determine if elderly people preferred popular music from
their young adult years or music from their later years. The results of their study concluded that
the participants preferred music from their young adult years to music of their later years.
Bartlett and Snelus (1980) conducted a similar study and found that the subjects’ song
9
recognition judgments correlated with the decades in which they heard them. Moore, Staum, and
Brotons (1992) also found similar findings to Gibbons (1977) and Bartlett (1980). In their
design, 118 songs were played for 135 participants all over the age of 65. The mean score across
genres indicated participants favored songs from their young adult years compared to popular
songs later in life.
Familiar music can assist in increasing communication for people diagnosed with middle
stage Alzheimer’s. Dassa and Amir’s (2014) results indicated that the more familiar the songs
were, the more socially engaging the participants became. In addition, songs from the past
appeared to elicit more vivid memories. Solé, Mercadal-Brotons, Galati, & De Castro (2014)
also suggest that incorporating familiar music into musical interventions could help patients feel
more positive about themselves because they become cognizant that they are remembering or
learning new information. For the purpose of this study, popular songs from the participants’
young adult years will be played during the musical conditions to help elicit reminiscing
responses.
Musical Influence on Reminiscing Responses
Reminiscing has been shown to have an effect on episodic memory in elderly adults with
Alzheimer’s disease (Melendez, Torres, Redondo, Mayordomo, & Sales, 2017). Although
reminiscing has been shown to benefit Alzheimer’s patients by reconnecting their past and
present memories, the content that is reminisced should be analyzed for its validity and quality.
Music therapy is unique because it can elicit reminiscing responses from hearing songs that have
personal associations with the listener.
Wylie (1990) tested reminiscing responses in sixty participants under four different test
conditions: older songs, antique objects, historical summaries, and general questions.
10
Participants were randomly assigned to each of these four categories. Music for the “older
songs” condition was between 1915 and 1932 for participants’ ages 80 to 90, and songs between
1926 and 1942 were selected for participants’ ages 70 to 79. The songs selected were
specifically from the participants’ younger adult years. Within the song conditions, the
researcher allowed the participants to take time to reminisce about the music and discuss what
they had heard after the song had finished.
Wylie recorded the frequency of reminiscing statements involving people, places, events,
and activities. A statement made prior to 10 years was considered a reminiscent. Statements
were further divided into subcategories, such as childhood versus adult memories and personal
versus historical memories. The results of this study indicated that participants recounted
memories of listening to music or dancing when they heard familiar songs.
Other researchers have also studied the effects music has on reminiscing responses.
Dassa and Amir (2014) incorporated content and song analysis into eight music therapy sessions.
After analyzing the content analysis results, the researchers found that the participants’ past
memories were elicited more when they heard songs relating to their social and national identity.
Reminiscing responses were also found to affect other domains of participants’ behaviors, such
as depressive symptoms (Ashida, 2000) and verbal communication (Brotons & Kroger, 2000).
Lipe (1991) suggests that although listening to preferred music was effective when treating
persons with Alzheimer’s, the rate of general responses varied based upon the level of cognitive
impairment the participant had. Silber (1999) supports Lipe’s (1991) report by concluding that
persons at stage two of dementia may respond differently to background music when compared
to persons at different stages of dementia.
11
The present study will analyze the quantitative and qualitative values of reminiscing
responses made by each participant. Through the Linguistic Inquiry and Word Count software
program, the number of occurrences spoken will quantify the following categories: summary
variables, parts of speech, emotions, time orientation, and personal concerns. Through Microsoft
Word, the number of words and sentences produced by the participants will be calculated, as
well as the level of communication complexity. In addition, staff and family members will be
asked to provide feedback on reminiscing responses to verify the validity of the statements.
12
CHAPTER III: METHODOLOGY
Participants
Research participants were residents from a mid-Western Alzheimer’s care facility. Four
female participants were involved in the study. The inclusion criteria for this study was the
participants had to have been born between the years of 1930 to 1950. The mean age of the
participants was 81 years old. The study involved a convenience sample of participants who
were recruited by the facility’s activities director. Further inclusion criteria was the participants
had to demonstrate symptoms of middle-stage Alzheimer’s. In addition, participants had to have
had no visual or hearing impairments that would prevent them from engaging in the music
therapy interventions. Participants also had to demonstrate intelligible verbal communication.
Setting
The Alzheimer’s residential care facility was a 24-hour center where nursing staff and
other aides assisted residents with activities of daily living. Residents were divided into separate
living quarters based on the severity of Dementia diagnosis, although common areas for
visitation and socializing were placed throughout the facility. Visitors were allowed to spend
time with the residents during regular business hours. Three meals were provided each day for
each resident, as well as a snack time between meals. Physical and occupational therapists
worked one-on-one with residents as needed. Activities coordinators planned meaningful games
and events for the residents to attend and participate in each day. Staff members would attend to
residents as needed when assisting with bathing, toileting, feeding, and cleaning.
The research study was conducted at the end of a hallway inside the residential care
facility. This area of the facility was designated as the Day Room. The setting consisted of one
couch for a seating capacity of two that flanks the left side of the hallway, as well as two single
13
chairs that flank the right side of the hallway. Furnishing were rearranged as needed to ensure
the student music therapist and participants were seated across from one-another and facing each
other directly. The Day Room featured windows on both sides and the end of the hallway.
Additional residents and staff members not participating in the study were in the Day Room
without restrictions. No restrictions were set in place in order to keep consistency with the
residents’ and staff members’ daily routines.
Interventions
Baseline
The baseline condition was a non-musical intervention that served as a control variable.
The student music therapist asked the four participants questions that were stated similarly to
both the recorded music and live music conditions. The student music therapist waited for
responses from the participants before moving on to the next question. The student music
therapist did not incorporate additional prompting when waiting for responses from participants.
See appendix B for questions asked during the baseline condition.
Recorded Music Condition
The researcher selected the following songs for the recorded music condition: Edelweiss
(Christopher Plummer & Julie Andrews), This Land is Your Land (Woody Guthrie), You Are My
Sunshine (Gene Autry), and Ring of Fire (Johnny Cash). Song recordings of the original artist
were played during the interventions. The student music therapist asked the participants to listen
to the music and encouraged the participants to sing along. Recorded music was played over a
DOSS touch wireless Bluetooth V4.0 portable speaker with HD sound and bass. Following each
song, participants were asked identical questions as the live music condition in order to prompt
reminiscing responses.
14
Live Music Condition
The songs utilized in the live music condition were the same songs utilized in the
recorded music condition. Songs chosen were based on personal repertoire and have proven to
induce favorable responses from this population prior to conducting this study. In addition, the
release dates of these songs coincide with the participants’ young adult years, defined as between
ages of 20 and 30.
The live music intervention consisted of a student music therapist singing the songs with
guitar self-accompaniment. The participants were asked to listen to the music and encouraged
participants to sing along. Following each song performed within the condition, participants
were asked one question per song pertaining to the general influence of music in their lives, their
experiences growing up, the places that they have visited, and the emotions that they felt toward
significant people in their lives. The purpose of these questions was to elicit episodic
reminiscing responses. The order of questions and songs were identical for each participant to
maintain consistency.
Research Design
This experimental study was a randomized within-subjects control study. The
participants were randomly assigned to receive either the live music condition first followed by
the recorded music condition second, or to receive the recorded music condition first followed by
the live music condition second. All participants received both the live music and recorded
music conditions. In addition, all participants underwent a baseline condition prior to the two
experimental conditions. All three conditions were predetermined and approved before the
researcher conducted the study. Table 1 indicates the order participants received treatment
conditions.
15
Table 1
Order of Conditions Received by Participants
Day 1
Day 2
Day 3
Day 4
Day 5
Participants
Baseline
No Session
1
st
Treatment
No Session
2
nd
Treatment
Participant 1
No Music
Recorded
Live
Participant 2
No Music
Live
Recorded
Participant 3
No Music
Live
Recorded
Participant 4
No Music
Recorded
Live
Procedure
The research university’s affiliated Institutional Review Board granted the researcher
approval to conduct the study. To conduct the study, the researcher had to have sufficient
experience in working with older adults, as well as have the musical and educational training to
provide therapeutic services that aligned with the music therapy standards at the university. The
student music therapist conducting the research study was under the supervision of a board
certified music therapist (MT-BC).
The activities director of the care facility recruited research participants for this study.
Guardians of the participants were given a letter of informed consent prior to the research being
conducted for them to sign (see Appendix A). The letter of informed consent outlined the
components of the study, as well as informed the guardians of the risks associated with the
experimental study. Permissions for audio recordings were included in the letter of informed
consent. Guardians were made aware that there would be no financial compensation for the
participants for taking part in the research study. Instead, they were informed of the opportunity
to engage in a positive, active music therapy experience.
During the baseline condition, staff members obtained verbal assent from the participants
before accompanying the participants to the Day Room to meet with the student music therapist.
16
Participants were asked questions that would elicit episodic reminiscing responses. The
questions were asked in the same order for each participant. See Appendix B for baseline
questions.
After completing the baseline condition, participants were randomly assigned to one of
two experimental conditions: live music or recorded music. In both conditions, participants were
prompted to listen to the music and encouraged to sing along. Following each song, the
participants were asked one question that prompted them for reminiscing responses related to
their episodic memory. These questions were similar to the questions asked during the baseline
condition. All conditions were visually and audio recorded.
Transcribing Data
A transcriptionist approved by the institutional review board manually transcribed the 12
sessions of visual and audio recordings with the researcher from the baseline, live music, and
recorded music conditions. All transcriptions were typed and saved on Microsoft Word
documents. Each document was kept on a password-protected computer with access limited to
only the researcher and approved transcriptionist. Identifiable data of participants were replaced
in the transcriptions with filler words to compensate for the discrepancy. For instance, if a
participant identified a city they grew up in, the transcription would read as: “I grew up in (city)
when I was younger.” All audio files were destroyed after the transcriptions were complete. The
researcher and transcriptionist had predetermined standards to limit irrelevant data from the
transcriptions before transcription. The predetermined standards were:
1. Only reminiscent responses from participants made directly following a question by
the student music therapist were transcribed. Additional statements from the
participants made in relation to other residents or staff members were not included.
17
2. No additional punctuation marks were to be used, other than periods, question marks,
and quotation marks.
3. All numbers were to be spelled out, including numbers zero through ten.
4. Filler words and slang were spelled: “ah,” “okay,” “er,” “ ’cause,” “gonna,” wanna,
“ ’em,” and “uh.”
These standards for transcribing were set in place prior to beginning typing out responses for the
purpose of limiting the variance between both of the transcriptionists, as well as lowering the
variance between the transcriptions analyzed by the Linguistic Inquiry and Word Count (LIWC)
software. An interclass correlation coefficient test was used to find the reliability (r) rating
between the 24 transcriptions. A reliability rating equal-than or greater-to 0.9 represents a high
percentage of reliability. Table 2 lists the r-coefficient values for each pair of transcriptions for
all four participants.
Table 2
Transcription Reliability Ratings
Baseline
Recorded Music
Live Music
Participants
Reliability Rating
Reliability Rating
Reliability Rating
Participant 1
(r) = 0.9996
(r) = 0.9495
(r) = 0.9730
Participant 2
(r) = 0.9499
(r) = 0.9592
(r) = 0.9728
Participant 3
(r) = 0.9726
(r) = 0.9705
(r) = 0.9709
Participant 4
(r) = 0.9726
(r) = 0.9723
(r) = 0.9680
LIWC Software
The Linguistic Inquiry and Word Count software utilized in this study analyzed
transcribed texts. The 2015 version of LIWC included a text analysis module, which enabled the
researcher to upload Microsoft Word documents and generate an output of both total word count,
18
as well as percentages of overall word counts that pertained to specific variables. The total word
count is operationally defined as the averages between the two versions of each transcriptions.
Percentages within each variable signified the amount of overall words that fit into each category
based off the LIWC automated dictionary, which “the dictionary identifies which words are
associated with which psychologically-relevant categories” (Linguistic Inquiry and Word Count,
2015). Nineteen variables were analyzed within each transcription. These variables can be seen
in Table 3.
Table 3
Linguistic Inquiry and Word Count Definitions of Variables
Variable Category
Variable
Quantity
Word Count
Summary Variables
Analytical Thinking
Clout
Authentic
Emotional Tone
Parts of Speech
Pronouns
19
Variable Category
Variable
Social Words
Adjectives
Emotions
Positive Emotions
Negative Emotions
Time Orientation
Past Focus
Present Focus
Future Focus
Personal Concerns
Work
Leisure
Home
Money
Religion
Death
20
CHAPTER IV: RESULTS
The purpose of this study was to compare the effects of live therapist delivered music
compared to original artist recorded music on older adults diagnosed with middle-stage
dementia. For this study, a student music therapist, operating under the direction of a board-
certified music therapist, delivered the non-musical baseline conditions, original artist recorded
musical conditions, and the live therapist delivered musical conditions. The researcher
hypothesized live therapist delivered music would have a greater influence over the reminiscent
responses than the original artist recorded music due to the more personalized approach. Four
female participants from a mid-Western Alzheimer’s care facility were involved in this research
study. All participants received a non-musical baseline intervention, though the sample was
randomly assigned to receive either live therapist delivered music first or original artist recorded
music first.
Data Analysis
All interventions were manually transcribed by two transcriptionists and entered into the
Linguistic Inquiry and Word Count software, creating a total of 24 transcription data sets. After
uploading the transcribed documents, the LIWC system provided total word counts for each
document, as well as the percentages of each variable. The researcher found the averages of the
transcriptions of each participant per condition, resulting in 12 data sets. Figure 1 represents the
averages of the word counts for the participants across the three conditions. A two-tailed t-test
was utilized to calculate the participants’ statistical significance levels.
21
Figure 1
Averages of Total Word Count of Participants Across Conditions
The average baseline word count for the participants was 553 words (SD = 353.67). The
participants responded to the non-musical baseline condition by 15.37% more than the recorded
music condition. For original artist recorded music, the average word count across participants
was 468.25 words (SD = 339.63). Lastly, the participants had an average of 638.5 words (SD =
392.02) during the live music condition. The live therapist delivered condition produced the
most amount of words out of all three conditions. Live music produced 13.46% more words than
the baseline condition and 26.76% more words than the recorded music condition.
Table 3 displays the variable percentage-averages for the participants’ reminiscent
responses across the three conditions. Within the summary variables category, analytical
thinking had the lowest percentage (5.39%) of words during the live therapist delivered musical
22
condition. Original artist recorded music produced 12.24% more words than the baseline
condition in relation to analytical thinking, and 58.76% more words than the live music
intervention. The recorded music condition was statistically more significant when compared to
the live music condition due to the p-value being less than 0.05 (p = 0.029).
Although not statistically significant, recorded music also produced more words
(74.26%) pertaining to authenticity when compared to both baseline and live music. Still, live
music produced more words in relation to clout (59.22%) and emotional tone (95.97%) than
recorded music and baseline. It is of interest to note that although the live music condition
produced the greatest percentage of words reminisced for emotional tone, the baseline condition
produced 6.93% more words pertaining to positive emotion than the live music condition.
Similarly, the live music condition did not produce any words (0%) pertaining to negative
emotions when compared to baseline (0.59%) and recorded music (1.03%).
Under parts of speech, the non-musical condition produced the least amount of pronouns
(23.06%), while the live music produced the next greatest amount (25.76%), and the recorded
music produced the most pronouns (28.77%). In the recorded music condition there was
statistically greater use of pronouns (p=0.028) in relation to the other two conditions. Recorded
music elicited 10.46% more pronouns than live music and 19.85% more pronouns than baseline.
Although recorded music outranked the other conditions in pronouns, live music produced the
largest percentage of adjectives (5.54%) and social words (15.42%) across conditions. Within
the time orientation variables, baseline outranked both live and recorded music when participants
were eliciting past focused (20.51%) words and present focused (10.75%) words. Recorded
music elicited the most words relating to future focused (1.07%) responses.
23
Table 4
Percentage of Words Spoken per Linguistic Inquiry and Word Count Software Across All
Participants
Baseline
Recorded Music
Live Music
Variables
% Out of 553 Words
% Out of 303 Words
% Out of 639 Words
Analytical Thinking
11.47%
13.07%
5.39%
Clout
52.61%
51.85%
59.22%
Authenticity
68.65%
74.26%
61.97%
Emotional Tone
94.94%
76.56%
95.97%
Pronouns
23.06%
28.77%
25.76%
Social Words
13.80%
13.43%
15.42%
Adjectives
5.30%
4.22%
5.54%
Positive Emotions
5.34%
4.31%
4.96%
Negative Emotions
0.59%
1.03%
0.11%
Past Focus
11.26%
9.15%
10.11%
Present Focus
10.71%
10.23%
10.11%
Future Focus
0.72%
1.07%
0.73%
Work Concerns
1.19%
0.93%
0.86%
Leisure Concerns
1.75%
3.45%
2.61%
Home Concerns
1.10%
1.39%
1.30%
Money Concerns
0.17%
0.35%
0.29%
Religious Concerns
0.30%
0.20%
0.05%
Death Concerns
0.44%
0.00%
0.27%
Although the objective of this study was to assess reminiscent responses, it is important
to note the variance within conversation. The act of reminiscing about older information can
help dementia patients become more aware of their present surroundings, thus allowing them to
converse in the present, as well as make comments toward future events. According to the
LIWC software system, future focused words were elicited the least (M = 0.84%), past focused
words were elicited the next greatest (M = 10.17%), and present focus words were elicited the
most (M = 10.35%) across conditions.
Participants varied between personal concerns elicited. Across the three conditions,
participants commented the most on home concerns (M = 3.54%), followed by leisure concerns
(M = 2.60%), work concerns (M = 0.99%), money concerns (M = 0.81%), death concerns (M =
24
0.24%), and religious concerns (M = 0.18%). The non-musical intervention produced the most
percentage of words elicited for work concerns (1.19%), religious concerns (0.30%), and death
concerns (0.44%). The recorded music intervention elicited the most percentages of words for
leisure concerns (3.45%), home concerns (1.39%) and money concern (0.35%). Overall, the live
music condition produced the least amount of personal concerns across all six variables.
Although not statistically significant, it should be noted that the recorded music condition did not
produce any words pertaining to death concerns for all four participants.
Participant 1
Participant 1 is a female born in 1944. She received the non-musical baseline condition
first, followed by the original artist recorded condition, and lastly the live therapist delivered
musical condition. Figure 2 represents participant 1’s average word count. Participant 1
reminisced 997 words during baseline, the 303 words during original artist recorded music
condition, and finally 731 words during the live therapist delivered music condition. Table 5
outlines participant 1’s variable percentages across all three conditions.
25
Figure 2
Word Count for Participant 1 Across Conditions
With regard to summary variables, the participant expressed more narrative and informal
speech patterns across all conditions, which can be seen under the analytical thinking variable.
In relation to clout, Participant 1 appeared to show greater confidence in her statements during
the recorded music condition (65.43%) and the live music condition (54.37%) compared to the
baseline condition (28.73%). In contrast, the participant’s responses appeared to be more
authentic during the baseline condition (72.98%) and recorded music condition (53.24%)
compared to the live music condition (28.52%). Across all three conditions, the participant
expressed more positive emotions than negative emotions for emotional tone. Within the
emotional variable category, positive emotions had a higher percentage across conditions (5.77%,
26
2.81%, and 4.45%) when compared to negative emotions (0.28%, 0.83%, and 0%) for baseline,
recorded music, and live music respectively.
Within parts of speech, participant 1 verbalized pronouns an average of 22.98% across all
conditions and expressed adjectives an average of 4.84%. The participant referenced social
words the least during the baseline condition with 13.70% of all words, and an average of
16.32% between the recorded (16%) and live music (16.64%) conditions. The participant’s
responses reflected the most past focus verbalizations in the baseline condition with 20.51% of
all words relating to the past. The past focus responses in the baseline condition was the highest
percentage of all past focus, present focus, and future focus variables across all three conditions.
Participant 1 reminisced about work concerns the most (2.11%) out of the six personal concern
variables during the baseline condition. In addition, the participant stated the most words
pertaining to leisure concerns during the recorded music condition (3.14%) and the live music
condition (1.51%).
27
Table 5
Percentage of Words Spoken per Linguistic Inquiry and Word Count Software Variable within
Each Condition for Participant 1
Baseline
Recorded Music
Live Music
Variables
% Out of 997 Words
% Out of 303 Words
% Out of 731 Words
Analytical Thinking
7.63%
18.32%
7.69%
Clout
28.73%
65.43%
54.37%
Authenticity
72.98%
53.24%
28.52%
Emotional Tone
97.74%
62.69%
94.21%
Pronouns
22.52%
21.49%
24.92%
Social Words
13.70%
16.00%
16.64%
Adjectives
5.07%
5.00%
4.45%
Positive Emotions
5.77%
2.81%
4.45%
Negative Emotions
0.28%
0.83%
0.00%
Past Focus
20.51%
10.74%
14.04%
Present Focus
8.58%
9.59%
5.14%
Future Focus
1.25%
0.50%
0.41%
Work Concerns
2.11%
0.67%
0.89%
Leisure Concerns
0.40%
3.14%
1.51%
Home Concerns
0.71%
1.00%
1.30%
Money Concerns
0.40%
1.00%
0.55%
Religious Concerns
0.00%
0.00%
0.00%
Death Concerns
1.41%
0.00%
0.68%
Participant 2
Participant 2 is a female born in 1932. She received the non-musical baseline condition
first, followed by the live therapist delivered musical condition, and lastly the original artist
recorded musical condition. Figure 3 represents participant 2’s average word count. Participant
2 reminisced 251 words during baseline, 495 words for the live therapist delivered music
condition, and lastly 361 words during the original artist recorded music condition. Table 6
outlines participant 2’s variable percentages across all three conditions.
28
Figure 3
Word Count for Participant 2 Across Conditions
Similar to participant 1, participant 2 exhibited more informal and personal speech
patterns in regard to analytical thinking across all conditions. In addition, she expressed varied
percentages for the clout variable, with the least amount of clout during the recorded condition
(22.70%), the next greatest amount for non-musical baseline (42.09%), and the most clout for
live music (60.33%). Participant 2 remained steady throughout the authentic variable with an
average of 96.88% words pertaining to authenticity throughout the study. Although not
statistically significant, the participant appeared to have a greater reaction toward the baseline
condition (93.66%) and the live music condition (97.28%) than the recorded music condition
(51.59%). When comparing positive emotions to negative emotions, participant 2 had a higher
29
percentage of words associated with positive emotions than negative emotions across all three
interventions.
The participant had little variance between the percentages within each of the parts of
speech. Participant 2 spoke an average of 26.12% pronouns, 5.13% adjectives, and 13.44%
social words across conditions. The participant also showed consistency within the time
orientation variables, with averages of 6.16% of words relating to past focus, 14% of words
relating to present focus, and 1.2% of words relating to future focus. Finally, participant 2
expressed the most amount of words relating to work concerns (1.11%), money concerns
(0.42%), and religious concerns (0.28%) during the recorded music condition. In addition, the
participant elicited the most amount of words pertaining to leisure concerns (1.45%) and death
concerns (0.20%) during the live therapist delivered condition, as well as the most amount of
words pertaining to home concerns (0.73%) during the non-musical condition.
30
Table 6
Percentage of Words Spoken per Linguistic Inquiry and Word Count Software Variable within
Each Condition for Participant 2
Baseline
Recorded Music
Live Music
Variables
% Out of 251 Words
% Out of 295 Words
% Out of 361 Words
Analytical Thinking
25.85%
5.83%
6.43%
Clout
42.09%
60.33%
22.70%
Authenticity
98.25%
94.91%
97.49%
Emotional Tone
93.66%
97.28%
51.59%
Pronouns
25.22%
24.98%
28.16%
Social Words
12.89%
16.18%
11.24%
Adjectives
5.81%
5.97%
3.61%
Positive Emotions
5.45%
5.36%
4.02%
Negative Emotions
1.09%
0.20%
2.64%
Past Focus
5.45%
7.08%
5.96%
Present Focus
13.79%
14.76%
13.46%
Future Focus
0.73%
0.91%
1.95%
Work Concerns
1.09%
0.91%
1.11%
Leisure Concerns
1.45%
1.62%
0.42%
Home Concerns
0.73%
0.20%
0.14%
Money Concerns
0.18%
0.00%
0.42%
Religious Concerns
0.18%
0.00%
0.28%
Death Concerns
0.00%
0.20%
0.00%
Participant 3
Participant 3 is a female born in 1932. She received the non-musical baseline condition
first, followed by the live therapist delivered musical condition second, and then the original
artist recorded musical condition. Figure 4 represents participant 3’s average word count.
Participant 3 reminisced 678 words for baseline, 1,128 words during the live therapist delivered
music condition, and lastly 972 words during the original artist recorded music condition. Table
7 outlines participant 3’s variable percentages across all three conditions.
31
Figure 4
Word Count for Participant 3 Across Conditions
The participant expressed the highest percentage (12.15%) of words pertaining to
analytical thinking during the recorded music condition, however during the baseline condition
she elicited the highest percentage (79.22%) of words related to authenticity, and during the live
music condition she expressed the highest percentages of words for the variables clout (67.27%)
and emotional tone (96.05%) during the live music condition. The participant maintained an
average of 4.85% of words reflecting positive emotions and 0.40% reflecting negative emotions
across conditions.
Participant 3 produced more pronouns during the original artist recorded music
intervention (44.10%) compared to both the non-musical baseline and live therapist delivered
music interventions. The participant expressed similar speech outcomes for adjectives (M =
32
5.52%) and social words (M = 11.90%) across conditions. In relation to time orientation,
participant 3 was similar to participant 2. Participant 3 communicated the most present focus
words across all conditions when compared to both past focus and future focus variables. Within
the personal concerns variables, participant 2 elicited the most responses for work concerns
(0.67%), leisure concerns (6.43%), home concerns (2.05%), and religious concerns (0.52%)
during the recorded music treatment. Live music produced the most words pertaining to money
concerns (0.62%) and death concerns (0.18%). Although not statistically significant, participant
3 expressed the least amount of concerns when verbalizing personal concerns across all three
conditions.
Table 7
Percentage of Words Spoken per Linguistic Inquiry and Word Count Software Variable within
Each Condition for Participant 3
Baseline
Recorded Music
Live Music
Variables
% Out of 678 Words
% Out of 1,128 Words
% Out of 972 Words
Analytical Thinking
7.41%
4.29%
12.15%
Clout
60.75%
67.27%
55.26%
Authenticity
79.22%
61.64%
69.90%
Emotional Tone
91.42%
96.05%
94.38%
Pronouns
21.61%
25.98%
44.10%
Social Words
12.17%
11.35%
12.18%
Adjectives
6.28%
5.01%
5.26%
Positive Emotions
4.35%
5.05%
5.15%
Negative Emotions
0.30%
0.23%
0.67%
Past Focus
8.41%
9.58%
7.87%
Present Focus
11.21%
13.04%
12.18%
Future Focus
0.89%
0.58%
0.57%
Work Concerns
0.52%
0.62%
0.67%
Leisure Concerns
1.99%
4.30%
6.43%
Home Concerns
1.55%
0.93%
2.05%
Money Concerns
0.08%
0.62%
0.00%
Religious Concerns
1.03%
0.18%
0.52%
Death Concerns
0.00%
0.18%
0.00%
33
Participant 4
Participant 4 is a female born in 1946. She received the non-musical baseline condition
first, followed by the original artist recorded condition, and last of all the live therapist delivered
musical condition. Figure 5 represents participant 4’s average word count. Participant 4
reminisced 286 words during baseline, 237 words during the original artist recorded music
condition, and finally 200 words during the live therapist delivered music condition. Table 8
outlines participant 4’s variable percentages across all three conditions.
Figure 5
Word Count for Participant 4 Across Conditions
Participant 4’s speech patterns reflected personal and informal responses in relation to
analytical thinking the most (15.39%) during the recorded music treatment, as well as responded
34
the highest in authenticity (78.87%) and emotional tone (97.61%). Clout was the only variable
out of the summary variables that produced the most percentage of words during the baseline
condition. As with participants 1, 2 and 3, participant 4 expressed more words reflecting positive
emotions than negative emotions across sessions.
Table 8
Percentage of Words Spoken per Linguistic Inquiry and Word Count Software Variable within
Each Condition for Participant 4
Baseline
Recorded Music
Live Music
Variables
% Out of 286 Words
% Out of 237 Words
% Out of 200 Words
Analytical Thinking
4.98%
15.39%
3.74%
Clout
78.87%
64.00%
53.91%
Authenticity
24.16%
76.42%
63.05%
Emotional Tone
96.94%
97.61%
96.34%
Pronouns
22.90%
21.31%
27.15%
Social Words
16.43%
14.78%
17.50%
Adjectives
4.02%
3.38%
6.75%
Positive Emotions
5.77%
5.27%
5.00%
Negative Emotions
0.70%
0.00%
0.00%
Past Focus
10.67%
12.03%
9.75%
Present Focus
9.27%
5.70%
7.50%
Future Focus
0.00%
1.27%
1.00%
Work Concerns
1.05%
1.27%
1.00%
Leisure Concerns
3.15%
3.80%
3.00%
Home Concerns
1.40%
2.53%
1.75%
Money Concerns
0.00%
0.00%
0.00%
Religious Concerns
0.00%
0.00%
0.00%
Death Concerns
0.35%
0.00%
0.00%
Within parts of speech, participant 4 responded with the most pronouns (27.15%),
adjectives (6.75%), and social words during the live music condition. Similar to participant 1,
participant 4 produced more words pertaining to past focus than present focus and future focus.
The recorded music condition elicited the most responses for past focus (12.03%) and future
35
focus (1.27%) variables, while baseline elicited the most responses for present focus (9.27%). In
relation to personal concerns, the participant verbalized the most words for work concerns
(1.27%), leisure concerns (3.80%), and home concerns (2.53%) during the recorded music
intervention. The participant only elicited words pertaining to death concerns during the non-
musical baseline condition. In addition, the participant did not verbalize any words relating to
money concerns and religious concerns during all three conditions.
36
CHAPTER V: DISCUSSION AND CONCLUSIONS
Discussion of Results
Nineteen variables were analyzed to determine the effectiveness of live therapist
delivered music compared to original artist recorded music on older adults with Alzheimer’s
disease. Based on the general word count elicited from reminiscing responses, live therapist
delivered music produced the most overall words across conditions, followed by the non-musical
baseline condition, and finally the original artist recorded musical condition. These results
coincide with the research hypothesis that live music produces a higher quantitative outcome
when compared to the recorded musical condition, though live music did not elicit the most
overall qualitative responses when compared to the recorded music condition.
Original artist recorded music produced the most words elicited in the following eight
categories: analytical thinking, authenticity, pronouns, negative emotions, future focus, leisure
concerns, home concerns, and money concerns. The original artist recorded musical condition
can be summarized as producing reminiscent responses that are genuine in content and
personalized to the participants. Participants referenced themselves and others in their lives
more frequently than any other condition, as well as spoke more extensively on their leisure
activities, home life, and financial stability.
The non-musical baseline condition, comprising primarily of verbal conversation,
produced the most words elicited in the following six categories: positive emotions, past focus,
present focus, work concerns, religious concerns, and death concerns. On average, participants
responded with more positive associations during the baseline condition. This could have been
attributed to the purely physical aspect of having another individual with which to communicate.
For example, the 2012 research study conducted by Tu, Lai, Shin, Chang, and Li concluded
37
elderly adults living in long-term care facilities experienced an increase in positive moods when
engaging in social companionship situations. The non-musical baseline condition can be
summarized as producing more past focus and present focus percentage of words, in addition to
eliciting more comments with regard to past working conditions, religious views, and references
to persons in the participants’ lives that have died.
Live therapist delivered music produced the most words relating to the following four
variables, not including the total word count variable: clout, emotional tone, adjectives, and
social words. On average, participants felt more confident in their responses during this
condition, as well as expressed more positive emotions. Furthermore, participants on average
generated more adjectives and social words. Although the live music condition produced 1.07%
more words related to emotional tone than baseline, the baseline condition produced 6.93% more
words pertaining to positive emotions than live music.
Other studies within music therapy have concluded the usage of music to increase
positive emotional states for individuals diagnosed with Alzheimer’s (Dassa & Amir, 2014; Solé,
Mercadal-Brotons, Galati, & De Castro, 2014). As a result, future studies utilizing the LIWC
software system should compare the differences between utilizing the emotional tone variable
and the positive emotions and negative emotions variables.
Limitations of the Study
Sample size was a limitation in this study, with only four total. Because of the small
number of participants, calculating variance for more conclusive results was not applicable,
except by using a t-distribution test. In addition to the sample size, all participants were female,
which could skew the amount of verbal responses. For future studies, representation of both
38
males and females should be taken into account when finding participants, as well as increasing
the sample size.
The setting for this study occurred at the end of a hallway where staff members and other
residents roamed the hallway freely. The presence of other individuals could have effect the
results of this study due to visual and verbal interruptions and distractions. Although the setting
allowed for naturally occurring events, future studies are advised to meet with participants
individually in an area that is more conducive to minimizing distractions.
This study did not incorporate a tool to assess specific recall rates of the participants’
memories. Although the activities director selected participants based on the inclusion criteria
for the study and possessed extensive knowledge of each participants’ cognition level, an
additional tool to measure their memories would have been beneficial. It is advised for future
studies to incorporate the Mini-Mental Status Examination (MMSE) to more accurately assess
participants’ memories.
The song selections for the musical conditions were based off of the participants’ birth
years, as well as their younger adult years. Each participant received the same songs in the same
order for all conditions. Although the songs were standardized to reduce variance between
conditions, future studies are recommended to incorporate participant-specific songs that were
prevalent during their childhood and younger adult years. The majority of the participants
responded to the pre-selected songs, however not all the participants were familiar with each
song. Furthermore, future studies could incorporate a randomized-assignment of songs as a part
of the research design, or customize the song list to each individual participant.
In order to reduce the amount of confounding variables that could influence the results of
this study between conditions, as well as comply with the university institutional review board,
39
the amount of in-person interaction was limited to the script outlined for all three conditions.
The student music therapist conducting the interventions kept personal interaction to a minimum.
No additional instruments were utilized in this study. The student music therapist only deviated
from the script when necessary. For instance, if a participate asked the student music therapist
about their musical ability or made a comment on an event happening around the participant, the
student music therapist would respond to the participant and then redirect the conversation back
to the study. Future studies are recommended to conduct the sessions with a variety of
stimulatory instruments and conversation, as is typical within most standard music therapy
sessions. Additional instrumentation and conversational prompts were not utilized in this study
in order to standardize the procedure.
This study evaluated nineteen variables to determine if there was a qualitative and
quantitative difference on reminiscent responses in the participants. Although these nineteen
variables all contributed to the outcomes of this study, future studies are recommended to narrow
in on variable categories, such as summary variables, parts of speech, emotions, time orientation,
and personal concerns with a larger number of participants to more accurately determine the
effects music has on older adults with middle-stage Alzheimer’s.
The purpose of this study was to deduce if there was a major effect between live and
recorded music on participants’ reminiscing responses. The study was partially successful in
comparing quantitative and qualitative aspects of reminiscing responses between the two
conditions, though future research is required to further strengthen the case between live versus
recorded music. Although recorded music produced more percentages of words across all 19
variables, recorded music was only found to be significant when analytical thinking and
pronouns were assessed (p < 0.05).
40
Clinical Implications
Music therapists working with older adults diagnosed with middle-stage Alzheimer’s
working on eliciting reminiscing responses should consider the medium in which they are
delivering their music to their patients. Although more research is needed to support using live
therapist delivered music compared to original artist recorded music, it is important for therapists
to recognize the purpose for which they are prompting their patients for reminiscing responses.
Based on the preliminary data, original artist recorded music may be more beneficial when
prompting patients to share more personalized accounts, work on recognizing themselves and
others in their past, as well as discuss personal concerns. In contrast, live therapist delivered
music may be more beneficial when working on eliciting reminiscing responses to improve
mood and provide the patient with feeling more confident with their statements. Other factors
when selecting an appropriate method for delivering music should include the patients’ hearing
abilities, the number of patients working with the therapist at one time, and the quality of music
in which the therapist can provide both through acoustic musical delivery and electronic
delivery.
41
REFERENCES
Alzheimer’s Association (2019). Middle-Stage caregiving. Retrieved from
https://www.alz.org/help-support/caregiving/stages-behaviors/middle-stage.
American Music Therapy Association (2019). Retrieved from https://www.musictherapy.org/.
Ashida, S. (2000). The effect of reminiscence music therapy sessions on changes in depressive
symptoms in elderly persons with dementia. Journal of Music Therapy, 37(3), 170-182.
doi:10.1093/jmt/37.3.170.
Bailey, L. (1983). The effects of live music versus tape-recorded music on hospitalized cancer
patients. Music Therapy, 3(1), 17-28. doi: 10.1093/mt/3.1.17.
Bartlett, J. C. & Snelus, P. (1980). Lifespan memory for popular songs. The American Journal of
Psychology, 93(3), 551-560.
Brotons, M., & Koger, S. M. (2000). The impact of music therapy on language functioning in
dementia. Journal of Music Therapy, 37(1), 183-195. doi:10.1093/jmt/37.3.183.
Cambridge Dictionary (2019). Reminiscence. Retrieved from
https://dictionary.cambridge.org/dictionary/english/reminiscing.
Centers for Disease Control and Prevention (2018, October). Alzheimer’s disease and healthy
aging. Retrieved from https://www.cdc.gov/aging/aginginfo/alzheimers.htm.
Clair, A. A., Bernstein, B., & Johnson, G. (1995). Rhythm playing characteristics in persons with
severe dementia including those with probable Alzheimer’s type. Journal of Music
Therapy, 32(2), 113-131. doi: 10.1093/jmt/31.2.113.
Dassa, A. & Amir, D. (2014). The role of singing familiar songs in encouraging conversation
among people with middle to late state Alzheimer’s disease. Journal of Music Therapy,
51(2), 131-153. doi: 10.1093/jmt/thu007.
42
Diagnostic and Statistical Manual of Mental Disorders (2013).
Gibbons, A. C. (1977). Popular music preferences of elderly people. Journal of Music Therapy,
14(4), 180-189. doi: 10.1093/jmt/14.4.180
Hays, T., & Minichiello, V. (2005). The contribution of music to quality of life in older people:
An Australian qualitative study. Aging and Society, 25(2), 261-278. doi:
10.1017/S0144686X4002946.
Jonas, J. L. (1991). Preferences of elderly music listeners residing in nursing homes for art
music, traditional jazz, popular music of today, and country music. Journal of Music
Therapy, 28(3), 149-160. doi: 10.1093/jmt/28.3.149.
Krause, M. & Corts, D. (2012). Memory. Psychological science: Modeling scientific literacy
(pp. 236-270). United States: Pearson.
Koger, S. M., Chapin, K., & Brotons, M. (1999). Is music therapy an effective intervention for
Dementia? A meta-analytic review of literature. Journal of Music Therapy, 36(1), 2-15.
doi: 10.1093/jmt/36.1.2.
Linguistic Inquiry and Word Count (2015). Retrieved from http://liwc.wpengine.com/how-it-
works/.
Lipe, A. W. (1991). Using music therapy to enhance the quality of life in a client with
Alzheimer’s Dementia: A case study. Journal of Music Therapy, 9(1), 102-105. doi:
10.1093/mtp/9.1.102.
Melendez, J. C., Torres, M., Redondo, R., Mayordomo, T., & Sales, A. (2017). Effectiveness of
follow-up reminiscence therapy on autobiographical memory in pathological ageing.
International Journal of Psychology, 52(4), 283-290. doi: 10.1002/ijop.
43
Moore, R. S., Staum, M. J., & Brotons, M. (1992). Music preferences of the elderly, vocal
ranges, tempos, and accompaniments for singing. Journal of Music Therapy, 29(4), 236-
252. doi: 10.1093/jmt/29.4.236.
Olson, B. K. (1984). Player piano music as therapy for the elderly. Journal of Music Therapy,
21(1), 35-45. doi: 10.1093/jmt/21.1.35.
Palmer, M. D. (1977). Music therapy in a comprehensive program of treatment and rehabilitation
for the geriatric resident. Journal of Music Therapy, 14(4), 190-197. doi:
10.1093/jmt/14.4.190.
Pricket, C. A., & Moore, R. S. (1991). The use of music to aid memory of Alzheimer’s patients.
Journal of Music Therapy, 28(2), 101-110. doi: 10.1093/jmt/28.2.101.
Riegler, J. (1980). Comparison of a reality orientation program for geriatric patients with and
without music. Journal of Music Therapy, 17(1), 26-33. doi: 10.1093/jmt/17.1.26.
Silber, F. (1999). The influence of background music on the performance of the mini mental
state examination with patients diagnosed with Alzheimer’s disease. Journal of Music
Therapy, 36(3), 196-206. doi: 10.1093/jmt/36.3.196.
Silverman, M. J. (2003). The influence of music on the symptoms of psychosis: A meta-analysis.
Journal of Music Therapy, 40(1), 27-40. doi: 10.1093/jmt/40.1.27.
Silverman, M. J. (2014). Effects of a live educational music therapy intervention on acute
psychiatric inpatients’ perceived social support and trust in the therapist: A four-group
randomized effective study. Journal of Music Therapy, 51(3), 228-249.
doi:10.1093/jmt/thu011
44
Solé, C., Mercadal-Brotons, M., Galati, A., & De Castro, M. (2014). Effects of group music
therapy on quality of life, affect, and participation in people with varying levels of
Dementia. Journal of Music Therapy, 51(1), 103-125. doi:10.1093/jmt/thu003.
Solé, C., Mercadeal-Brotons, M., Gallego, S., & Riera, M. (2010). Contributions of music to
aging adults’ quality of life. Journal of Music Therapy, 47(3), 264-281. doi:
10.1093/jmt/47.3.264.
The Diagnostic and Statistical Manual of Mental Disorders (2013). Neurocognitive disorders.
(pp. 611-614). Arlington, VA: American Psychiatric Association.
Tu, Y., Lai, Y., Shin, S., Chang, H., & Li, L. (2012). Factors associated with depressive mood in
elderly residing at the long-term care facilities. International Journal of Gerontology,
6(1), 5-10. doi: 10.1016/j.ijge.2011.12.004.
United States Census Bureau (2018, September). Older people projected to outnumber children
for the first time in U.S. history. Retrieved from
https://www.census.gov/newsroom/press-releases/2018/cb18-41-population-
projections.html.
Wylie, M E. (1990). A comparison of the effects of old familiar songs, antique objects, historical
summaries, and general questions on the reminiscence of nursing home residents. Journal
of Music Therapy, 27(1), 2-12. doi: 10.1093/jmt/27.1.2.
45
APPENDIX A: LETTER OF INFORMED CONSENT
You are being asked to sign on behalf of your dependent to participate in a research study
conducted by graduate student Rajahna Desiree Schneekloth, under the supervision of Principle
Investigator Dr. Andrea Crimmins of the School of Music in Music Therapy at Illinois State
University. The purpose of this study is to compare the effects of live music to recorded music
on the long-term memory of adults diagnosed with middle-stage Alzheimer’s disease. This study
will analyze both the quantitative and qualitative components of the reminiscent responses from
each musical condition.
Why are you being asked?
You have been asked to sign on behalf of your dependent to participate because the dependent
has met the eligibility criteria: born between 1930 to 1950, diagnosed with middle-stage
Alzheimer’s as specified by Sugar Creek Alzheimer’s Care Center program director Patricia
Brady, and does not possess hearing or verbal communication impairments that would prevent
them from engaging with the student music therapist.
Your dependent’s participation in this study is voluntary. They will not be penalized if they
choose to skip parts of the study, not participate, or withdraw from the study at any time. This
study is independent of the services provided by Sugar Creek Alzheimer’s Care Center. The care
and services received by your dependent from Sugar Creek Alzheimer’s Care Center will not be
effected if they choose to skip parts of the study, not participate, or withdraw from the study at
any time.
What would you do?
If you choose to sign on behalf of your dependent to participate in this study, your dependent
will be asked five questions designed to elicit reminiscent responses. Questions will center on
significant persons or events in the participant’s life while growing up. During the live and
recorded musical conditions, the participant will be invited to join the student music therapist in
singing along to the four predetermined songs for the study. In total, your dependent’s
involvement in this study will last approximately 30 minutes for three separate sessions: non-
musical baseline conversation condition, live therapist delivered music condition, and original
artist recorded music condition.
Are any risks expected?
We do not anticipate any risks beyond those that would occur in everyday life, however potential
risks could include emotional discomfort from topics discussed during reminiscence by the
participant, as well as a possible risk of reputation from the audio recording component. To
reduce risks, staff members and the program director, Patricia Brady, will be notified
immediately if the participant experiences any emotional discomfort. In addition, identifiable
data (such as the participant’s voice and significant persons’ names) will be stripped from the
typed transcription. All audio recordings will be destroyed after 1 week to 6 months after the
recordings were taken.
46
Will your information be protected?
We will use all reasonable efforts to keep any provided personal information confidential. Audio
recordings of responses will be kept on a password-protected computer. Authorized personnel
for the audio recordings will be limited to the researcher and a principal investigator-approved
transcriptionist. All audio recordings will be destroyed after 1 week to 6 months after the
recordings were taken. Typed transcriptions will be stripped of any identifiable information.
Information that may identify the dependent or potentially lead to re-identification will not be
released to individuals that are not on the research team. The results of this research may be
presented at public symposiums, published in journals, and placed on ISU’s research website.
However, when required by law or university policy, identifying information (including your
signed consent form) may be seen or copied by authorized individuals.
Could your responses be used for other research?
We will not use any identifiable information from your dependent in future research, but your
dependent’s de-identified information could be used for future research without additional
consent from you.
Who will benefit from this study?
This research will benefit the participant by receiving free music therapy services to provide life-
review and emotional support through music.
Whom do you contact if you have any questions?
If you have any questions about the research or wish to have your dependent withdrawn from the
study, contact Rajahna Desiree Scheenkloth at (320) 217-4990 or [email protected], or contact
the Principal Investigator Dr. Andrea Crimmins at (309) 438-8198 or [email protected].
If you have any questions about your dependent’s rights as a participant, or if you feel your
dependent has been placed at risk, contact the Illinois State University Research Ethics &
Compliance Office at (309) 438-5527 or [email protected].
Documentation of Consent
Sign below if you are 18 or older and signing on behalf of your dependent to participate in this
study and be audio recorded.
Signature __________________________________ Date ______________________
You will be given a copy of this form for your records.
47
APPENDIX B: BASELINE CONDITION QUESTIONS
Question 1: “How was music apart of your life when you were growing up?”
Question 2: “What was your home life like growing up?”
Question 3: What were some places your traveled to when you were younger?”
Question 4: “Was there someone you cared about when you were growing up?”
Question 5: “Was there a person in your life that you loved very much?”
48
APPENDIX C: MUSICAL CONDITION SCRIPT AND QUESTIONS
Question 1: “How was music apart of your life when you were growing up?”
Song # 1 Introduction: “The first song I have for you today is Edelweiss. This song was popular
in the film The Sound of Music. Please sing with me.”
Song 1: Edelweiss (1959) Bill Lee
Question 2:Edelweiss says “bless my homeland forever” during the song. What was your
home like growing up?”
Song # 2 Introduction: “This next song talks a lot of different places in the United States. It’s
called This Land is Your Land by Woody Guthrie. Please sing with me.”
Song 2: This Land is Your Land (1967) Woody Guthrie
Question 3: “What were some places you traveled to when you were younger?”
Song # 3 Introduction: “This next song may be a song your parents sang to you when you were
younger, or a song you have sung to your children. It is a folk song called You Are My Sunshine
by Gene Autry. Please sing with me.”
Song 3: You Are My Sunshine (1941) Gene Autry
Question 4: “You Are My Sunshine talks about someone you might care about a lot. Was there
someone you cared about when you were growing up?”
Song # 4 Introduction: “Our final song that I have for you today is Ring of Fire by Johnny
Cash. Please sing with me.”
Song 4: Ring of Fire (1963) Johnny Cash
Question 5: “Was there a person in your life that you loved very much?”
49
APPENDIX D: WITHIN SUBJECTS PAIRWISE COMPARISON CHART
Within Subjects Pairwise Comparisons for Recorded to Live Music
Variables
Mean Difference
P-value
Analytical Thinking
0.077
0.54
Clout
-0.074
0.563
Authenticity
0.123
0.079
Emotional Tone
-0.194
0.189