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SPECIAL REQUIRED WORKSHEET FOR U09A1
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2 other important notes:
(1) This worksheet is based on the journal article and instructions I posted in U
the original instructions for this assignment, NO OTHER ARTICLE will be accep
(2) In this assignment, you will ONLY be looking at the main test featured in the
gender, for example. We are not interested in that for the purposes of this assi
ONLY in the main test: the ONE-WAY ANOVA. If you're not sure what I'm talkin
note the variables below. So, please answer all the questions below with the m
Section 1 - DATA CONTEXT:
In this section, you'll be m
example, we are not looking at that in this assignment.
should be able to figure it out from the article itself. If you still can't, then please no
Variable
Presence of Music (Whether Music Was Played) =
Reading Comprehension Scores =
What is the overall sample size?
Section 2 - TESTING ASSUMPTIONS:
In this section, you'll be using drop
Section 2 - TESTING ASSUMPTIONS:
In this section, you'll be using drop
of a ONE-WAY ANOVA (which is, of course, the main test used in the article). You'll have
assumptions here.
Assumptions
Independence of observations
Outcome (or dependent) variable is quantitative and
normally distributed
Homogeneity of variance
Variables are linearly related
The numbers look pretty in pink font
Presence of bivariate outliers
Section 3 - RESEARCH QUESTION, HYPOTHESES,
are analyzing the main One-Way ANOVA in the study, the one that relates the variables s
Articulate a research question relevant to the main
statistical test
Articulate the null hypothesis
Articulate the alternative hypothesis
Specify the alpha level
(The alpha level can be inferred from the article, though it isn't explicitly stated. If y
Section 4 - RESULTS AND INTERPRETATION:
evaluating the main One-Way ANOVA in the article. If you're not sure what that is, please
Fill in the blanks to report the results from the main One-Way ANOVA you saw in the
F value =
p-value =
effect size (eta2) =
Select answers from the drop-down boxes to interpret the main One-Way ANOVA yo
Degrees of freedom =
Is the effect size big or small? Use Table 5.2 in
Warner (2013) to help you.
Based on the results of the ANOVA, should the null
hypothesis be rejected?
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What was a strength of the study as reported in the article?
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What is the main limitation of the study as reported in the article?
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SHEET FOR U09A1 - Journal Article Assignment
y required. In fact, it is the ONLY thing you'll need to submit for this assignment. No other D
urnal article and instructions I posted in Updates / Handouts. You must answer based on
nment, NO OTHER ARTICLE will be accepted for this assignment.
be looking at the main test featured in the article. We are NOT interested in the oth
ested in that for the purposes of this assignment. It also talks about correlations; w
ANOVA. If you're not sure what I'm talking about, you should be able to figure it out from th
answer all the questions below with the main test alone in mind.
his section, you'll be making choices from drop-down menus. Remember that even though the artic
signment. We are ONLY LOOKING at the main test in the article: the ONE-WAY ANOVA. If you
icle itself. If you still can't, then please note the variables below. Those should help.
ONS:
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ONS:
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the main test used in the article). You'll have to call upon your own learning from the course materia
Select 'Yes' for each assumption that needs to be satisfied
when conducting the main test (the ONE-WAY ANOVA) featured
in the article
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ON, HYPOTHESES, AND ALPHA LEVEL:
In this section, you'll be using drop
he study, the one that relates the variables specified in Section 1.
Please select a choice
0
Please select a choice
0
Please select a choice
0
Please select a choice
rticle, though it isn't explicitly stated. If you get stuck, just list the typical alpha level and you
RPRETATION:
In this section, you'll be using drop-down menus and you'll be filling
article. If you're not sure what that is, please see instructions all the way at the top of this workshee
the main One-Way ANOVA you saw in the article.
to interpret the main One-Way ANOVA you saw in the article.
Please select a choice
Please select a choice
Please select a choice
section, you'll be using drop-down menus
e drawn from the main test in this study?
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ed in the article?
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reported in the article?
Please select a choice
You still have 22 question(s) to answer.
s assignment. No other DAA form or template is required.
ust answer based on that article and that article alone. Contrary to
ested in the other tests. The article talks about a breakdown by
t correlations; we aren't interested in those either. We are interested
le to figure it out from the article itself. If you still can't, then please
that even though the article talks about gender as a variable, for
WAY ANOVA. If you're not sure what I'm talking about, you
ose should help.
What is the Scale of the Variable?
Please select a choice
Please select a choice
or 'no'. Please note that the article does not talk about the assumptions
or 'no'. Please note that the article does not talk about the assumptions
ng from the course materials (and beyond) to identify the testing
ou'll be using drop-down menus. REMINDER: We
d you'll be filling in the blanks. Remember that you're only
op of this worksheet.
0
ntrary to
interested
en please
ut, you
sumptions
0
0
0
0
0
sumptions
0
0
0
0
0
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0
0
0
0
1
1
1
School Psychology Quarterly
2010, Vol. 25, No. 3, 178 –187
© 2010 American Psychological Association
1045-3830/10/$12.00 DOI: 10.1037/a0021213
Effect of Music on Reading Comprehension of Junior
High School Students
Stacey A. Anderson and Gerald B. Fuller
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
Walden University
This quantitative study was an investigation of the effect of lyrical music on reading
comprehension by adolescents. Existing research has produced results that range from
concluding such distraction may be detrimental to finding it could be helpful. The
reading comprehension subtest of the Gates-MacGinitie Reading Tests, 4th edition
(MacGinitie, MacGinitie, Maria, & Dryer, 2000) was administered to 334 7th- and
8th-grade students. Testing was conducted under two conditions: a nonmusic environment, and with accompanying music comprising Billboard Magazine’s (2006) top hit
singles. Following the music portion of the test, students completed a survey to assess
any preference for or against listening to music while studying. Results of an analysis
of variance showed performance declined significantly when listening to music. A point
biserial correlation illustrated a pronounced detrimental effect on comprehension for
students exhibiting a stronger preference for listening to music while studying. Results
are important for understanding influences on study habits, with the goal of helping
educators and school psychologists design support systems tailored to the needs of
adolescents.
Keywords: reading comprehension, music, popular lyrical music, junior high school students,
adolescents
One of the challenges of modern educational
reform, as posited in scholarly literature (Luttrell & Parker, 2001; Rothstein & Jacobson,
2006) and the popular press, is to improve the
basic literacy of children and adolescents. However, scores on national achievement tests indicate students in recent years did not perform
significantly better than did students in past
decades (Schneider, 2007). This is the case despite numerous attempts by educators to improve student reading and writing through approaches that have ranged from changing the
physical conditions of the classroom (Hong,
Milgram, & Rowell, 2004) to increasing students’ motivation (Irwin, 2003) or their capacity
for self-regulation (Raffaelli, Crockett, & Shen,
2005), to using music to promote adolescent
identity development (Boehnke, Münch, &
Hoffmann, 2002).
Stacey A. Anderson and Gerald B. Fuller, College of
Social and Behavioral Sciences, School of Psychology,
Walden University, Minneapolis, Minnesota.
Correspondence concerning this article should be addressed to Stacey A. Anderson, 11311 Stephanie Drive,
Yuma, AZ 85367. E-mail: drsaanderson@gmail.com
The purpose of the present study was to explore what impact, if any, listening to popular
lyrical music while concurrently performing a
cognitively complex task might have on students’ comprehension of study material, and
thus indirectly on basic literacy. Students often
claim they can study effectively while listening
to music (Patton, Stinard, & Routh, 1983). At
the same time, concerned educators and parents
intuitively believe listening to music might create a distraction that could interfere with comprehension. In fact, research results are mixed.
Oswald, Tremblay, and Jones (2000) found a
significant deterioration in reading comprehension when distracters such as music or speech
were present, whereas Hallam, Price, and Katsarou (2002) reported a beneficial effect. Boyle
and Coltheart (1996) and Pool, Koolstra, and
Van Der Voort (2003) claimed no clear effect of
music or verbal noise on performance. The
present study addressed these issues by testing
three hypotheses: (a) a difference exists between reading comprehension scores completed
in the environment without music and scores
obtained with lyrical music playing in the background; (b) a gender difference exists regarding
the reading comprehension scores completed in
178
EFFECT OF MUSIC ON READING COMPREHENSION
the environment without music and scores obtained with background music; and (c) a relationship exists between degree of preference for
studying with music and scores obtained on a
reading comprehension test completed in either
the environment without music or with music
playing in the background.
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
Background
Researchers who have investigated the effects of sound on comprehension have approached the problem from a variety of perspectives (Weinstein & Weinstein, 1979). A review
of relevant literature reveals two opposing theoretical perspectives with respect to the question of whether background music necessarily
distracts from cognitive tasks. Although many
empirical studies appear to support the position
that distraction is likely, at least to some extent,
the opposite perspective thus far has not been
conclusively discounted.
According to neuropsychological research,
when an individual listens to music, the brain
processes the lyrics and melodies independently
(Besson, Faı̈ta, Peretz, Bonnel, & Requin,
1998). This lends support to the notion that not
only are these two types of listening competitive
functions, but they are likely to compete with
additional demands on the brain, such as those
posed by studying. Similarly, the limited capacity model (Broadbent, 1958) has been cited as a
framework to explain the negative effects of
competitive tasks on concentration. Proponents
of the limited capacity model argue that attempting to carry out two tasks that draw on
inherently limited cognitive resources will work
to the detriment of one or both (Pool et al.,
2003). Pool et al. argued that attempting to
accomplish two tasks simultaneously exceeds a
person’s capacity for attention, while others
contended that the decisive factor is not whether
the cognitive capacity is exceeded, but rather
that performance declines when both tasks involve processing the same types of information
(Bourke, Duncan, & Nimmo-Smith, 1996).
Various studies of reading comprehension in
the presence of distractions have focused on
understanding the cognitive and/or emotional
processes that occur while listening to music.
Oswald et al. (2000) studied the disruptive effects of meaningful and meaningless speech on
comprehension. Both types of speech were
179
found to be equally disruptive, suggesting that
distraction by speech may have complex elements, leading to a significant difference between distraction resulting from listening and
that resulting from merely hearing. In terms of
adolescents studying with background music,
the findings by Oswald et al. suggest students
may attend to lyrics discriminately, varying
their attention when listening to familiar versus
unfamiliar lyrics, or to preferred musical artists
versus those in which they have less interest.
Many of the relevant studies provide only
weak support for the idea that music can be
distracting to students. For example, Boyle and
Coltheart (1996) investigated the degree to
which irrelevant sounds disrupted reading comprehension and short-term memory tasks, and
found lyrical as well as instrumental music affected performance of both types of tasks negatively, but not significantly. Paulhus, Aks, and
Coren (1990) found a clear correlation between
visual and auditory distractibility, but no relationship between either type of distractibility
and performance. These researchers suggested
adolescents’ responses to music may reflect the
emotions invoked by music, rather than serve as
proof music is a direct distraction.
Pool et al. (2003) did not find support for the
hypothesis that music interferes with learning
when they looked at soap operas as the disruptive variable in a study of 8th-grade reading
comprehension. They reported that when students only heard the audio of an episode, they
were not distracted, suggesting sound poses less
competition than does visual imagery during
comprehension tasks. This raises the question of
whether the type of music selected influences
the extent to which the music itself arouses
attention. Furnham and colleagues also failed to
support this hypothesis through studies that produced conflicting results. In an early study, TV
was found to significantly distract from performance (Furnham, Gunter, & Peterson, 1994),
whereas studying with music as the distracting
element produced no positive or negative effects on performance when compared with performance in quiet conditions, even when the
music varied in complexity (Furnham & Allass,
1999). Participants were college students, who
might be expected to be less easily distracted
than adolescents. However, in subsequent research, also with college students, Furnham and
Strbac (2002) compared the difference in dis-
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180
ANDERSON AND FULLER
traction between music and noise in the background while participants attempted a reading
comprehension task and found both music and
noise were equally distracting.
While most research has focused on determining the disruptive effect of music and other
sounds while studying, some educators have
explored the potential of music to enhance cognitive performance. Savage (2001) found evidence that listening comprehension and reading
comprehension involve similar cognitive processes, and posited this similarity implies the
tasks are not necessarily competitive, thus supporting the notion that music could be educationally enhancing. The typical approach of
such research has been to introduce different
types of music as stimuli under experimental
conditions. For example, Hallam et al. (2002)
studied students’ perceptions of the characteristics of background classical instrumental music—
pleasant or unpleasant—while they performed
reading and computation tasks in a classroom
environment and concluded that music influenced performance through arousal and mood,
rather than as a result of distraction. Although
the study was conducted in a classroom, the
authors acknowledged that the use of music in
the home may be even more important to students’ learning, and suggested parents take an
active role in monitoring music when their children are engaged in learning activities at home.
Carlson, Hoffman, Gray, and Thompson (2004)
took this premise a step further by using relaxation exercises accompanied by music to determine whether reading performance could be
improved in a 3rd-grade classroom. The study,
which used a vibroacoustic chair that allowed
the student to feel the vibrations of the music,
did indeed demonstrate that relaxation with music can improve reading performance.
A body of research on homework sheds light
on the students’ perspective. Hong et al. (2004)
offered a conceptual model of homework organized along dimensions of motivation and preferences, including those related to surroundings,
including auditory, visual, tactile, kinesthetic,
and mobility qualities, and reported that motivated and persistent students expressed a preference for background sound while doing
homework. Students with weaker motivation
and a tendency to delay doing homework preferred a quiet, dimly lit environment. Patton et
al. (1983) reported somewhat different findings.
These researchers assessed student perceptions
of the effects of TV, radio, or stereo on the
degree of distraction from reading, writing, and
math tasks, and found nearly all participants
reported that no matter what the task, they usually had the TV, radio, or stereo playing while
they did homework. The students preferred a
quiet room for a reading assignment, but not
necessarily for a math assignment or assignment
involving both reading and writing. Patton et al.
found a clear difference between student perceptions of the effects of distractions and the
decision to do homework with or without such
distractions. Students acknowledged that a quiet
room probably would be a better environment,
but still preferred doing homework where a TV,
radio, or stereo was on, or where others were
present. Stålhammar (2003), who studied the
spatial distinctions adolescents make during
music listening experiences, found students preferred to listen in an individual space (i.e., alone
or with headphones, rather than with peers)
when they were feeling strongly about something, or when they wanted to relax or think,
lending support to the idea that these student
view music as enhancing their study habits.
Little research is available that clarifies possible gender differences in the context of the
effects of music on academic performance, although a great deal has been written about the
influence of music on adolescent identity development and the role of popular culture in that
development (Lowe, 2003), as well as the influence of friends’ tastes and other social factors
on music preferences (Hurtes, 2002). One area
of research in particular, that focused on selfregulation, holds relevance for the present
study. Raffaelli et al. (2005) found that girls had
better self-regulatory ability than boys, and that
this ability persisted from age 4 to 13. Selfregulation in the form of voluntary reading habits has been linked to female socialization practices that support reading and sharing books
with others, and to male socialization practices
that link mothers, rather than fathers, with reading considered to be a girl’s thing, not a boy’s
thing (Irwin, 2003). Thus, presumably, girls
would have a stronger ability than do boys to
regulate their study habits and to determine
what could distract them and to avoid such
distractions. Adolescents of both genders reportedly are more likely to listen to music than
to read, although both activities have been
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EFFECT OF MUSIC ON READING COMPREHENSION
shown to be associated with self-esteem and
social identity. Particularly for boys, peer identification is a critical factor often signaled by
music preference (Tarrant, 2002).
In sum, while empirical studies of the effects
of music as a distracter on reading comprehension performance are limited, a small body of
researchers has begun to establish some parameters for the study of this relationship. Most
research in this area has proceeded from the
assumption that some deterioration in reading
performance will occur when distracters are
present; however, researchers are beginning to
realize that young people may not be distracted
to the same degree or in the same way as older
adolescents and adults. To clarify this issue, the
present study focused on junior high school
students. Existing experiential studies have included a variety of variables (i.e., music as well
as different types of noise), and performance
tasks of varying degrees of difficulty (e.g.,
homework, preparing for exams, writing, math,
visual search, short-term memory, and recall).
When music is examined, it is typically instrumental rather than lyrical, and thus not the
music popular with today’s youth. The
present study attempted to use the music most
likely sought out and listened to by adolescents today and assessed their preferences for
the specific music selections. Moreover, measurements used in most of the research reviewed tended to be subjective in nature (i.e.,
interviews, diaries, and self-reports). The
present study administered a standard test of
reading comprehension to determine effects
of lyrical music on learning.
Methods
Participants
Data for this study were obtained from 334
7th- and 8th-grade students. Gender was fairly
equivalent in representation, and included 172
boys (51.5%) and 162 girls (48.5%), of which
198 (59.3%) were in the 7th grade and 136
(40.7%) were 8th graders. Students were selected from five public junior high schools in
southwestern Arizona. Of the participating students, 64.6% were Hispanic, 30.5% were
White, 2.8% were Black, 1.0% were American
Indian, and 1.0% were Asian; this ethnic distribution reflected the district’s student population
181
at large. All students in the study were regular/
general education students and were proficient
in speaking, reading, and writing English
(according to IDEA Proficiency Test and Arizona English Language Learner Assessment
scores) to rule out limitations of English language learners. Students with hearing deficits
(as indicated in annual school health examinations) were not included in the study.
Instrumentation and Materials
The students were assessed with the reading
comprehension subtest of the Gates-MacGinitie
Reading Tests, fourth edition (GMRT-4;
MacGinitie et al., 2000). Reading comprehension test scores were chosen as the dependent
variable to most closely represent the outcome
of interest (i.e., students’ ability to acquire and
process new information). The reading comprehension subtest is available in alternate but
equivalent forms (i.e., S and T). Each form
contains 48 questions pertaining to 11 prose
texts that vary in length and span a wide range
of content chosen from a variety of published
sources deemed appropriate for, yet not familiar
to students at the grade levels for which the test
was developed. Students were asked to read a
short narrative or expository text and answer a
few multiple-choice questions (with 5 choices
per item). The test was administered by the
researcher under standard conditions, including
a 35-min time limit.
Estimates of the GMRT-4 alternate form’s
reliability using the Kuder–Richardson Formula 20 (K-R 20) are high for total test scores
and range from 0.74 to 0.87 for the reading
comprehension subtest. The GMRT-4 has
strong internal consistency levels for both the
total test and reading comprehension subtest,
with coefficient values of 0.90 or higher (Johnson, 2005). Content validity was established
through careful item development, including
statistical analyses with the Mantel-Haenszel
Measure of Differential Item Functioning, and
consultation with an expert panel to eliminate
gender and ethnic bias (Flippo & Caverly,
2008). Additional technical information can be
obtained from the publisher (MacGinitie,
MacGinitie, Maria, & Dreyer, 2008).
A brief survey of student study habits and
music preferences, developed by the researcher,
was administered following the session in
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182
ANDERSON AND FULLER
which music was played. Participants were
asked to rate the degree to which they appreciated hearing each of the nine songs played,
using a Likert-type scale ranging from 5 ⫽
strongly liked to 1 ⫽ strongly disliked, as well
as to indicate a general preference for studying
with (or without) music. A pilot survey was
administered to 52 7th- and 8th-grade students
prior to the experiment. The students were randomly chosen from two homeroom classes in
two different junior high schools and were
asked to read and respond to the 11 items on the
survey; they did not hear the music selections.
Results of the pilot indicated that of the 52
students, 41 (79%) reported they liked to listen
to music while studying. When asked about
preferences for specific music listed in the survey, a majority (37, or 71%) indicated they did
enjoy listening to those music selections (i.e.,
they chose 5 ⫽ strongly agree or 4 ⫽ agree).
These findings are consistent with research finding that most adolescents study with music
playing in the background (Patton et al., 1983).
The fact that most of the students in the pilot
reported liking the musical selections listed in
the survey supported the supposition that this
type of music is typically listened to by these
students.
The music that was played in the background
during the study sessions consisted of top hit
songs listed in Billboard Magazine for the week
the study was conducted. The top hit 100 singles reflect sales and the number of times songs
are played on national radio stations. The decision to use top hit music, rather than a specific
genre of music, was based on the assumption
that participants most likely would be aware of
and familiar with the selections, whether or not
they reflected top hits played by local radio
stations or the participants’ personal tastes for
such music. The top songs chosen from the
Billboard charts were very similar to those
listed in other top charts, such as MTV, Rick
Dees Weekly Top 40, and American Top 40
with Ryan Seacrest. The 9 songs chosen for the
study (Table 3) were actually from the top 20 on
the designated charts. Songs chosen were
screened for appropriateness and did not contain
fowl language or explicit lyrics.
Data Collection Procedures
Raw scores from the standardized reading
comprehension subtest were obtained during
study hall periods, under two different environmental conditions: (a) a typical (nonmusic)
study hall classroom, and (b) the same room,
but with lyrical music playing in the background at a preset volume. Given that the instrumentation included two parallel forms of the
reading comprehension subtest and two environmental conditions, the participants were randomly assigned to one of four groups. Each
group participated in the study over 2 days, with
a mean time of 1 day between study sessions, as
a counterbalancing technique. The rationale for
conducting the two sessions a day apart was to
reduce any effects caused by differences in students’ mood, anxiety level, or response to other
factors in the environment. Table 1 presents the
schedule for all four groups, showing which
environment they experienced and which form
of the reading comprehension subtest they took
on each day.
During the study session in which music was
played in the background, nine songs were
played over the duration (35 min). The music,
previously recorded on a single disk by a professional disk jockey, was played via a Bose
Wave Radio/CD unit over the school’s public
address system at a preset volume of approximately 75 decibels. This volume was selected
after careful consideration of prior research,
which intimated that more intense noise was
associated with greater difficulty in the completion of a task. The purpose of the study was not
Table 1
Schedule of Experimental Sessions
Day
Group 1
Group 2
Group 3
Group 4
1
Form S
No music
Form T
With music
Form S
With music
Form T
No music
Form T
No music
Form S
With music
Form T
With music
Form S
No music
2
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EFFECT OF MUSIC ON READING COMPREHENSION
to test the loudness effect, but to examine the
content effect of lyrical music; hence, the selection of the moderate playback level of 75 decibels. The volume was monitored with a sound
level meter.
The instrument was administered by a certified school psychologist with 20 years of experience as a teacher and school psychologist,
working on a doctoral degree. The evaluator
obtained training with the GMRT-4 via a workshop, and was familiar with the GMRT since its
second edition. Informed consent was obtained
from all participants’ parents. The consent introduced the study and examiner, provided
background information and procedures, explained that the study was voluntary, listed any
potential risks or benefits, stated that no compensation would be given, clarified confidentiality, gave contact information for questions,
and was signed by each student and his or her
parent(s) prior to the study. The teachers and
evaluator also provided students with information prior to testing, and explained the outcomes
of the study afterward.
Results
A within-subjects analysis of variance
(ANOVA) was used to compare how students
performed in the two environmental conditions. A
one-way ANOVA was used to compare difference in reading comprehension scores between
males and females under both study conditions.
Finally, a series of point biserial correlations was
performed to address the relationship between
students’ preferences and reading comprehension performance.
Across all four experimental groups, the music environment score was lower than the nonmusic environment score (M ⫽ 26.49 vs.
M ⫽ 30.56; Table 2), and this difference was
183
significant, F(1, 332) ⫽ 193.60, p ⫽ .001 (Table 3). Overall, nearly three-quarters of the students (74.5%) did less well on the reading comprehension test while listening to lyrical music
in the background (M ⫽ ⫺4.07, SD ⫽ 5.35),
compared with students in the quiet environment. Therefore, the hypothesis that a difference exists between reading comprehension
scores in the environments with and without
music was accepted.
Girls had a greater decline in scores under
the music environment compared with the
nonmusic environment (M ⫽ ⫺5.01) than did
boys (M ⫽ ⫺3.20; Table 2), and this difference was significant, F(1, 332) ⫽ 9.72, p ⫽
.002 (Table 4). Therefore, the hypothesis that
a gender difference exists regarding reading
comprehension scores in the environments with
and without music was accepted.
The students’ total music preference score
was negatively related to reading comprehension in the nonmusic environment, r(332) ⫽
⫺.12, p ⫽ .03 (Table 5). However, the total
music preference score was not correlated with
the reading comprehension difference score
(music vs. no music), r(332) ⫽ .05, p ⫽ .34, or
with the reading comprehension score in the
music environment, r(332) ⫽ ⫺.09, p ⫽ .10.
Therefore, the hypothesis that a relationship exists between degree of preference for studying
with music and reading comprehension scores
in environments with and without music was
partially accepted. Females had a greater preference for listening to music when studying
than did males (rpb ⫽ .28, p ⫽ .001). Females
also had significantly higher ratings for 7 of
the 10 individual music preference items, compared with the ratings by males. In addition,
students who were in more agreement with a
statement asking if they liked to listen to music
while studying had lower reading comprehen-
Table 2
Difference in Comprehension Based on Presence of Music, Descriptive Statistics
Variable
Gender
n
M
SD
No Music Score
Male
Female
Total
Male
Female
Total
172
162
334
172
162
334
29.70
31.47
30.56
26.50
26.46
26.49
11.00
9.24
10.21
11.14
10.26
10.70
Music Score
184
ANDERSON AND FULLER
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Table 3
Difference in Reading Comprehension Scores, Based on Presence of Music,
Within-Subjects Analysis of Variance (ANOVA) Test
Source
SS
df
MS
F
p
2
Condition
Error
Total
2772.94
4769.56
7542.50
1
332
333
2772.94
14.32
193.60
.001
.61
sion scores in the nonmusic environment,
r(332) ⫽ ⫺.19, p ⫽ .001, as well as in the
music environment, r(332) ⫽ ⫺.13, p ⫽ .01,
than did students who reported that they typically preferred not to listen to music while
studying.
Discussion
Results of the present study support the assumption that studying while listening to music
detracts from the reading performance of adolescents. As such, the findings contribute to the
body of existing research, which has produced
inconclusive results about whether listening to
music interferes with students’ study habits.
This study was notable because the focus was
on adolescents, who have been underrepresented in related empirical studies. It also stands
out in that gender differences were included,
and the music was deliberately selected to reflect the musical genres popular with the target
age group and what they would most likely
listen to independently or with friends.
The reading comprehension of three-quarters
of the students in this study declined significantly when listening to music, compared with
their performance in a quiet setting. The detrimental effect on comprehension of material was
more pronounced for students who had a stronger preference for the music used in this study
and for listening to music while studying. A
striking implication is that these students were
unaware of the amount of attention they were
deflecting from the test or of the impact the
music had on their mental activities. These students may be so accustomed to reading and
studying with music that it does not occur to
them they might comprehend better without the
background distraction.
Most students who reported a preference for
studying with music performed more poorly
with and without background music than did
those who preferred to study in quiet surroundings. The presence of a small group of students
who read at least as effectively while listening
to music helps explain why research findings to
date have been inconsistent. It is possible these
students have developed cognitive strategies
that enable them to focus on study tasks despite
competing background stimuli. Most students,
however, require an intervention to achieve this
aim. For example, capitalizing on activities that
are popular with adolescents, such as journal
keeping, can offer a channel for raising awareness about study habits and monitoring change
over time. The powerful influence of the peer
group can be harnessed in group interventions
to enhance study skills and techniques.
These results support the idea that lyrical
music and written text are competing stimuli, as
stated by Pool et al. (2003), as well as the theory
that people discriminately attend to sounds (Oswald et al., 2000). In the current study, it is
possible students discriminately attended to the
lyrics, varying their attention depending on
whether they were listening to songs and artists
they liked or did not like. Further study would
Table 4
Comparison of Music Difference Score, by Gender
Source
SS
df
MS
F
p
2
Gender
Error
Total
271.10
9264.87
9535.98
1
332
333
271.10
27.91
9.72
.002
.17
Note.
Difference ⫽ Music environment score versus no music environment score.
EFFECT OF MUSIC ON READING COMPREHENSION
185
Table 5
Point Biserial Correlations for Selected Variables
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This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
No music score
Total music preference
Q1. When I study, I like to listen to music
Q2. SOS (Rescue Me), by Rihanna
Q3. Bad Day, by Daniel Powter
Q4. Unwritten, by Natasha Bedingfield
Q5. What Hurts the Most, by Rascal Flatts
Q6. Walk Away, by Kelly Clarkson
Q7. Move Along, by The All-American Rejects
Q8. Grillz, by Nelly
Q9. Savin Me, by Nickleback
Q10. Over My Head (Cable Car), by the Fray
a
ⴱ
Gender: 1 ⫽ male, 2 ⫽ female.
p ⫽ .05. ⴱⴱ p ⫽ .01. ⴱⴱⴱ p ⫽ .005.
ⴱⴱⴱⴱ
ⴱ
⫺.12
⫺.19ⴱⴱⴱⴱ
⫺.13ⴱ
⫺.03
⫺.03
⫺.02
⫺.09
.01
⫺.30ⴱⴱⴱⴱ
⫺.06
⫺.03
Music score
Gendera
⫺.09
⫺.13ⴱⴱ
⫺.13ⴱ
.02
⫺.02
.02
⫺.08
.05
⫺.28ⴱⴱⴱ
⫺.03
⫺.03
.28ⴱⴱⴱⴱ
.16ⴱⴱⴱ
.36ⴱⴱⴱⴱ
.20ⴱⴱⴱⴱ
.36ⴱⴱⴱⴱ
.24ⴱⴱⴱⴱ
.39ⴱⴱⴱⴱ
.07
.05
.05
.11ⴱ
p ⫽ .001.
be needed to determine the differential effects
of various potential sources of distraction, such
as whether students would have been less distracted by other genres of music (e.g., jazz,
country, alternative, classical, rap) than by popular lyrical music. Another possible explanation
for the results of this study is that, rather than
the music distracting students from reading,
they might rely on background music because
they are already disengaged from the material.
In that case, further research could look at the
correlations between students’ perception of the
relevance of educational content and their tendency to become distracted.
Self-efficacy theory may explain the gender
difference, given that sources have suggested
girls have higher self-efficacy for reading than
do boys (Horner & Shwery, 2002; Pajares,
2002). Because high self-efficacy sometimes results in an overestimation of one’s abilities, it is
possible that girls overestimated their ability to
read or study successfully while listening to
music. Studies also have suggested that adolescents typically prefer listening to music they
view as being socially accepted within a group
of peers (Hurtes, 2002; Tarrant, 2002). This
trend appears to be gender related. Tarrant
found 81% of 14- and 15-year-old girls reported
they listened to music as a leisure activity with
a peer group, compared with only 48% of boys
who did so. The detrimental effect of music on
the girls’ reading performance in the current
study implies that educators need to be aware of
adolescent girls’ potentially greater distractibility and plan interventions accordingly. At the
same time, they can take advantage of adolescent girls’ propensity for social interaction,
which suggest that group sessions and peer
coaching may be among the techniques that
could prove effective with this group.
The results of this study raise practical issues
with respect to student’s awareness of their individual study habits. Educators and parents
may need to help a sizable group of students,
specifically those who prefer to study while
listening to music and are unaware of the extent
to which they are distracted, develop a repertoire of cognitive skills and strategies to reduce
distractibility and improve concentration and
attention. To expect that adolescents will alter
study habits without interventions that consider
individual developmental level and social and
personal preferences is unrealistic. Thus, a first
remedial step would be for educators and parents to assist students in becoming aware of
their habits, and of the effect those habits have
on academic performance. School psychologists
can be alert to students who may have issues in
this area, and can consult with teachers and
parents to make sure students hone their study
and homework habits.
One limitation of the study is that the reading
ability and possible attentional deficits of students, which could have influenced their comprehension scores, were not assessed. In addition, various environmental factors (e.g., time
of day, volume of the music) and individual
factors (e.g., students’ moods) were assumed
not to have a significant influence on the results.
Finally, this study used only one experimental
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186
ANDERSON AND FULLER
condition of music, and students in other settings or of different ages might react differently
to different music selections, thus limiting the
generalizability of the findings.
In conclusion, the association between music
and intellectual performance is clearly a topic
that merits further investigation, particularly
among adolescents. This study focused specifically on reading comprehension. Other studies
could explore different aspects of literacy, such
as mathematics and writing tasks. All these activities involve different cognitive processes,
which in turn could differentially affect the impact of background music on students’ learning.
Obtaining further clarification should be a priority for educational researchers concerned with
helping adolescents gain skills that will benefit
them in academic endeavors as well as in other
activities in an environment where multitasking
prevails.
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