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9
Comparing Comprehension Following Silent and Aloud Reading
across Elementary and Secondary Students: Implication for
Curriculum-Based Measurement
Andrea D. Hale, Christopher H. Skinner, Jacqueline Williams, Renee Hawkins,
Christine E. Neddenriep and Jessica Dizer
In the current study, 42 secondary students (10th, 11th, and 12th grade students) and 51 elementary students (4th and
5th grade students) read 400 word passages silently and aloud. During aloud reading, words correct per minute
(WCPM) were recorded. After reading each passage, students answered 10 multiple-choice comprehension
questions. Results showed comprehension was significantly higher when students read passages aloud, as opposed
to silently. No interaction was found between comprehension and grade level (elementary versus secondary).
Discussion is focused on theories of reading comprehension and applied implications for assessing comprehension
following the administration of Curriculum-Based Measurement (CBM) reading probes.
Keywords: Reading comprehension, silent reading, oral reading, words correct per minute, curriculum-based
measurement
Reading skill deficit are prevalent, common in most student refereed for special education
services, and can hinder learning, skill development, and success across vocational, academic, and daily
living tasks (Daly, Chafouleas, & Skinner, 2005; Lentz, 1998; National Assessment of Educational
Progress, 2005; Winn, Skinner, Oliver, Hale, & Ziegler, in press). Although a variety of theories and
procedures have been developed to remedy reading skill deficits, our science has not developed to the
point where we can be assured that any specific intervention will remedy reading skill deficits for specific
students. Thus, researchers and educators have developed various procedures and systems that allow
educators to quickly assess the effects of various reading interventions on students reading skill
development (i.e., progress monitoring or measuring responsiveness to intervention, see Fletcher, Coulter,
Reschly, & Vaughn, 2004).
Words Correct per Minute
There are several common characteristics with various reading skill development progress
monitoring systems. One is that they employ brief and sensitive measures that allow for frequent
assessment of skill development. With respect to reading skills, one measure that is included in most
systems is words read correctly per minute (WCPM). This measure which Deno and Mirkin's (1977)
described in their curriculum-based measurement (CBM) system for progress and performance
monitoring, is also used in the Dynamic Indicators of Basic Early Literacy Skills (DIBELS, Good &
Kaminski, 2002) and AIMSweb (AIMSweb Progress Monitoring and Response to Intervention System,
2006) systems. To collect WCPM data, students are asked to read aloud, often for 1 minute, as the
examiner scores errors. After students have finished reading aloud the examiner calculates both words
correct per minute (WCPM) and errors per minute (Deno & Mirkin, 1977; Shapiro, 2004).
WCPM is a measure of oral or aloud reading fluency or speed of accurate aloud reading. Many
researchers have investigated the psychometric properties of WCPM and found that it is a valid
(concurrent, construct, and criterion related validity), reliable, and sensitive measure of general reading
skill development (Deno, Mirkin, & Chiang, 1982; Espin & Foegen, 1996; Fuchs & Deno 1991; Fuchs,
Fuchs, and Maxwell, 1988; Hintze, Shapiro, Conte, & Basile, 1997). Although, WCPM has been shown
to positively correlate with standardized norm-referenced measures of reading comprehension, (Deno et
al., 1982; Fuchs & Deno, 1992; Fuchs et al., 1988; Marston, 1989; Shinn et al., 1992), because WCPM
does not directly assess reading comprehension educators and research have expressed concerns about the
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face validity of the measure (Potter & Wamre, 1990; Skinner, Neddenriep, Bradley-Klug, & Ziemann,
2002). This limitation may be important as the primary function, goal, or purpose of reading is
comprehension2 (Rowell, 1976; Salasoo, 1986; Sindelar & Stoddard, 1991; Skinner, 1998). Thus, some
may be concerned that WC/M will not detect comprehension deficits in students who can read aloud
accurately and rapidly, but fail to comprehend what they are reading (Marston, 1989).
To address this limitation Shapiro (1996) suggested that reading comprehension questions be
administered after CBM WCPM administrations to provide a more directly measure reading
comprehension. Students, especially secondary students typically read silently when reading for
comprehension (Skinner et al., 2002). If comprehension is assessed after a student reads aloud, then it is
important to ascertain if reading mode of topography (i.e., aloud versus silent reading) significantly
affects comprehension. If reading mode significantly and systematically affects reading comprehension
(i.e., reading comprehension is hindered when students read aloud compared to when they read silently),
then measures of reading comprehension following aloud CBM readings may not accurately assess
students’ silent-reading comprehension skills.
Research on the effect of reading mode (e.g., aloud, silent) on comprehension is equivocal (Fuchs
& Maxwell, 1988; Juel & Holmes, 1981; McCallum, Sharp, Bell, & George, 2004). There are several
theories that suggest that reading aloud and reading silently may systematically impact comprehension
differently (Jones & Lockhart, 1919; Juel & Holmes, 1981). Furthermore, these theories suggest that the
mode of reading (silent versus aloud) may have differential effects on comprehension, depending upon
the skill of the reader (Kragler, 1995).
Some researchers have found evidence that individuals comprehend more information after
reading silently when compared to reading aloud (Jones & Lockhart, 1919; Mead, 1915, 1917; Pinter,
1913). To explain these findings, some researchers contend that the process of oral reading requires the
reader to allocate a portion of their limited cognitive resources to pronunciation, intonation, and emphasis
of words. The result of the reader's cognitive resources being focused, in part, on the dynamics of reading
aloud, reduces cognitive resources available for comprehension (Jones & Lockhart, 1919). Juel and
Holmes (1981) suggest that oral reading may follow a "bottom up" process, meaning that readers may
stop processing after achieving phonological recordings. If the reading process stops directly after
achieving phonological recordings, then lexical access or comprehension processes may never occur.
Because younger and/or less skilled readers may not have automatic decoding skills, they may be more
likely to focus the majority of their cognitive resources on phonological recordings, as opposed to
comprehension.
Other researchers found that individuals comprehend more information after reading orally when
compared to reading silently (Collins, 1961; Duffy & Durrell, 1935; Rowell, 1976). Based on evidence
that comprehension is enhanced by aloud reading, theorists have suggested that poor readers may benefit
more than good readers from the experience of hearing themselves read and from the required
concentrated attention needed to read orally (Kragler, 1995; Levin, 1979; Swalm, 1973). Finally, others
found no significant difference in the comprehension after reading silently when compared to reading
aloud (Jones, 1932; McCallum et al., 2004; Poulton & Brown, 1967).
Student’s reading proficiency may affect the reading mode that best facilitates comprehension.
Kragler (1995) found that beginning readers who read aloud had higher reading placement scores than
beginning readers who read silently. Miller and Smith (1990) compared comprehension across silent and
oral reading and found that (a) poor readers had higher comprehension scores when reading aloud, (b)
average readers had higher comprehension scores when reading silently, and (c) there was no significant
difference in comprehension across silent and aloud reading in students with stronger reading skills.
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While cognitive processing theories may explain the interactions between reading mode (silent
versus aloud) and reading skill (poor readers versus average or above average readers), an alterative
explanation is related to choice. When students read aloud, educators and researchers can monitor
students reading performance to determine if they have actually read the entire passage. However, when
students read silently, observers cannot be assured that they actually read the entire passage. Because less
skilled readers often must expend more effort to read, they may be less likely to read during silent-reading
conditions (Billington, Skinner, & Cruchon, 2004; Skinner, 1998; Skinner, Pappas, & Davis, 2005).
Researchers studying silent-reading comprehension in students with reading skills deficits found that in
some instances they did not read passages silently. Instead they appeared to scan the passage before
answering questions (Freeland, Skinner, Jackson, McDaniel, & Smith, 2000; McDaniel, Watson,
Freeland, Smith, Jackson, & Skinner, 2001).
Purpose
WCPM is a sensitive, valid, and reliable measure of global reading skills (Fuchs & Deno, 2001;
Marston, 1989). However, this measure does not provide for a direct assessment of reading
comprehension. To ensure that students comprehend what they read, Shapiro (1996) recommended
administering comprehension questions after the students read passages aloud. However, when reading
for comprehension, students often read silently (Skinner et al., 2002). Thus, the purpose of the current
study was to examine the relationship between silent-reading comprehension and aloud reading
comprehension and determine if comprehension was systematically affected by reading mode or
topography. Additionally, because student reading skill may interact with reading mode to impact
comprehension, we tested these differences across elementary and high school students.
Method
Participants and Setting
Participants were recruited from a large school district in the Southeastern United States. The
elementary students were recruited from fourth- and fifth- grade general education classrooms in a rural
school. The school served approximately 290 kindergarten through fifth-grade students with
approximately 57% of the students receiving free or reduced lunch. All students from the fourth and fifth-
grade general education classrooms in the school were invited to participate. Slightly over 70% of the
students recruited participated. Of the 51 elementary participants (24 males and 27 females), five were
African-American and 46 were Caucasian.
The secondary students were recruited from 10th, 11th, and 12th grade general education
classrooms (see Table 1) in an urban high school that served approximately 981 ninth through twelfth-
grade students. Approximately 63% of the students in the school received free or reduced lunch. A
Language Arts teacher agreed to recruit students from her classes. Forty-two out of a possible 73 students
(57.5%) returned consent and signed assent forms to participate in the study. Of the 42 high-school
participants (17 males and 25 females), 15 were African-American, 2 were Asian, 4 were Hispanic, and
21 were Caucasian.
Table 1. Gender and Number of Participants in Each Grade
Grade Level Grade (# of Participants) Gender (# of Participants)
________________________________________________________________________
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Elementary 4th (22) 5th(29) Male (24) Female (27)
Secondary 10th(37) 11th (3) 12th (2) Male (17) Female (25)
Approval was sought and granted from the appropriate school board, principals, teachers, and
University. Each teacher asked, consented to participate. The primary investigator then met with each
class, explained the procedures, and provided each student with a parental consent form. Researchers
solicited assent from each student who provided a parental consent. Only those students who provided
consent and assent participated.
During the course of the study, researchers collected WCPM data on each student by requiring
them to read aloud from material written at their grade level. Based on Shapiro’s (1996) criteria, each
student's median aloud reading WCPM score was used to place students into one of three reading
proficiency categories: mastery (i.e., 100 WCPM or greater), instructional (i.e., 70-99 WCPM), and
frustrational (i.e., less than 70 WCPM). See Table 2 for a summary. In addition, students were
administered three subtests from the Woodcock-Johnson Achievement Tests, 3rd ed. (WJ-III Ach; McGrew
& Woodcock, 2001) in order to determine a Grade-Equivalent Broad Reading Score. See Table 3 for a
summary. The WCPM and WJ-III Grade Equivalent scores were obtained to provide information
regarding each participant’s current reading level.
Table 2. Number of Participants at Each Reading Level
Reading Level
Grade Level Mastery Instructional Frustrational
________________________________________________________________________
Elementary 25 17 9
Secondary 36 6 0
.
Table 3. Percentage of Participants Reading On their Grade Level, Above their Grade Level, or Below
Their Grade Level Based on WJ-III Broad Reading Cluster Grade Equivalency Scores
Reading Level
Grade Level On Grade Level Above Grade Level Below Grade Level
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______________________________________________________________________________
Elementary 25.5% 35.3% 39.2%
Secondary 5% 38% 57%
Procedures were conducted with elementary students during the months of October and
November and with high school students between the months of October and February. Procedures were
implemented in a quiet area of the school separate from the students’ classrooms (e.g., a quiet hallway,
conference room, computer room). Four graduate students in a school psychology Ph.D. program and
one undergraduate student administered assessment procedures. Using training procedures that involved
description, demonstration, practice, immediate feedback, and assessment, the primary experimenter
ensured that each University student could administer and score reliably. To ensure that experimenters
maintained these skills, interscorer agreement and procedural integrity data were collected throughout the
study.
Materials
Selected passages from the Timed Reading Series (Spargo, 1989) were used. This series contains
50 passages for each grade level, beginning with grade four. Based on the Fry (1968) readability formula,
passages were designed to be slightly more difficult as students progress, with each book spanning one
grade level. Each passage contains 400 words providing information across a variety of subjects (e.g.,
planets, cars, presidents). Ten multiple-choice comprehension questions (five factual and five inferential)
follow each passage and are printed on the opposite side of the page.
Students read passages and answered corresponding multiple-choice comprehension questions
from their grade level; passages from books 1, 2, 7, 8, and 9 (grade levels 4, 5, 10, 11, and 12
respectively). To hold passage difficulty relatively constant, the experimenters only used the first 12
passages from each book. Although each student only read six passages, 12 passages were used to control
for students’ prior knowledge related to passage content. The primary experimenter divided the group of
12 passages into three sets of four (passages 1-4, 5-8, and 9-12), based upon the passage difficulty level.
A repeated-measures design was used so that each participant was exposed to both the aloud and silent-
reading conditions. For each student, a passage from each of the three sets was assigned to the aloud
condition and a different passage from each of the three sets was assigned to the silent condition. In total,
students read three passages in the aloud-reading condition and three passages in the silent-reading
condition. Assignment of passages to conditions was counterbalanced across students to control for prior
knowledge of passage content, the slight difference in reading difficulty among the passages, etc.
Three subtests (Letter-Word Identification, Reading Fluency, and Passage Comprehension) from
the WJ-III Ach were administered for the purpose of obtaining a Broad Reading Grade-Equivalent Score
for each student. Battery-powered tape recorders were to record each session. These recording were used
to collect interscorer agreement and procedural integrity data. Researchers used stopwatches to measure
time seconds spent reading.
General Experimental Procedures
For each student, assessment data were collected across three sessions. Typically, these sessions
were held on three separate school days. However, in order to accommodate special situations (e.g.,
student leaving early, school-wide achievement testing, end of the semester) four high-school students
were tested on the same day with sessions separated by at least 30 minutes. Sessions were scheduled in
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conjunction with the participants’ teachers in order to minimize disruptions. During one session students
read passages aloud, during another they read passages silently, and during the third they completed three
subtests of the WJ-III Ach. Condition order was counterbalanced across participants to control for
sequence effects.
After the experimenter took time to establish or re-establish rapport, the experimenter
implemented one of three conditions (silent reading, aloud reading, and WJ-III Ach). For the silent and
aloud reading conditions, each student was required to read three passages and answer the comprehension
questions immediately after he or she finished reading each passage.
Silent Reading. After escorting the participant to the testing area, the experimenter started the tape
recorder and read the following instructions:
I am going to give you a reading passage. When I say begin, I want you to read the passage
silently. Read the passage silently at your normal pace, and only read the passage through once.
When you have finished reading the passage silently say, “finished.” I will take up the passage
and give you comprehension questions to answer. I cannot answer any questions about the
content of the passage. Do your best to answer each question correctly. Do you have any
questions? Ok, here is the passage. The title of the passage is ________. You can now begin.
The experimenter said, “begin” and started the stopwatch. When the student indicated that he or she had
finished reading the passage, the experimenter stopped the stopwatch, recorded the number of seconds the
student spent reading the passage (these data were used in a separate research project), collected the
reading passage, gave the student the comprehension questions, and read the following instructions:
Please answer the questions I have given you by circling the answer you think is right. You may
not know the answers to all of the questions, but try your best on each one. You may begin.
Please tell me when you have finished.
Once the participant indicated that he or she was finished, the experimenter collected the passage. The
same procedures were then followed for both the second and third reading passages.
Aloud Reading. After escorting the participant to the testing area, the experimenter started the
tape recorder and read the following instructions:
I am going to give you a reading passage. When I say begin, I want you to read the passage aloud.
Read the passage aloud at your normal pace. When you have finished reading the passage aloud, I
will take up the passage and give you comprehension questions to answer. I cannot answer any
questions about the content of the passage. Do your best to answer each question correctly. Do
you have any questions? Ok, here is the passage. The title of the passage is _________. You can
now begin.
When the student began reading, the experimenter started the stopwatch. The experimenter had a
copy of the passage being read. For the first minute, the experimenter recorded errors for the purpose of
calculating words correct per minute (WCPM) according to common CBM procedures. Errors were
scored based on the guidelines provided by Shapiro (1996) and included mispronunciations, substitutions,
omissions, additions, and skipped lines. While students were reading, if they skipped lines or began re-
reading lines the experimenter re-directed them and counted this redirection as one error. Additionally, if
a student paused for five seconds, the experimenter read the word aloud and the student continued
reading.
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After the participant finished reading the entire passage, comprehension was assessed using
procedures identical to those used after the silent-reading condition. Once the participant indicated that he
or she was finished answering the questions, the questions were collected and the same procedures were
followed for the remaining two reading passages.
Administration of WJ-III Ach. Each student also participated in a session in which three subtests
from the WJ-III Ach (Letter-Word Identification, Reading Fluency, and Passage Comprehension) were
administered. These subtests were used to obtain a Broad Reading Grade Equivalency Score.
Dependent Variables and Experimental Design and Analysis Procedures
For each passage, the number of questions answered correctly was summed. For both the aloud
and silent-reading conditions, three different scores were obtained (one for each passage). In order to
reduce the effects of extreme scores, each student’s median comprehension score under each condition
was analyzed (Shapiro, 1996).
To test for significant and systematic differences in comprehension caused by reading mode
and/or reading skill level, median comprehension scores were analyzed using a two-by-two mixed-model
ANOVA. The within-subjects factor was reading mode (aloud versus silent). The between-subjects factor
was student grade (elementary versus high school). Pearson’s product-moment correlations were used to
further describe the relationship between comprehension scores for aloud and silent passage reading.
Interscorer Agreement and Procedural Integrity Data
All assessment sessions were audiotaped. A second independent observer listened to 20% of the
sessions, recorded procedural integrity data, and independently scored WCPM. Finally, this experimenter
re-scored the written multiple-choice responses. Procedural integrity data showed that the primary
experimenters read instructions as written for each condition and administered procedures using
appropriate passages and in the appropriate sequence 100% of the time. Interscorer agreement for
comprehension accuracy was 100%. Pearson product moment correlations showed strong agreement on
WCPM across experimenters, r = .94.
Results
Means and standard deviations for all measures are reported in Table 4. Results of the repeated
measures mixed-model ANOVA (see Table 5) indicated that there was no significant interaction between
grade level and reading mode, F(1, 91) = .004, p = .949. A significant within-subjects main effect was
found for reading mode, F(1, 91) = 11.509, p < .001. Comprehension was significantly higher when
students read aloud (M = 7.75, SD = 1.40) than when they read silently (M = 7.19, SD = 1.76). Between-
subjects analysis of comprehension revealed a significant main effect, F(1, 91) = 19.269, p < .001.
Elementary students’ comprehension (M = 8.05, SD = 1.49) was significantly higher than the secondary
students’ (M = 6.89, SD = 1.54).
Table 4. Mean and Standard Deviation Reading Scores for Elementary Students, Secondary Students, and
Elementary and Secondary Students Combined
Oral-Reading Silent-Reading
Comprehension Comprehension WCPM
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Mean (SD) Mean (SD) Mean (SD)
Elem. 8.33 (1.14) 7.77 (1.73) 99.31 (31.97)
(n=51)
Sec. 7.17 (1.43) 6.62 (1.61) 140.57 (29.04)
(n=42)
Total 7.75 (1.40) 7.19 (1.76) 117.95 (36.85)
(N=93)
WCPM = Words correct per minute.
Table 5. Analysis of Variance for Reading Comprehension
Source Type III Sum df Mean Square F p
of Squares
Between subjects
Intercept 10284.349 1 10284.349 3218.384* .000
Grade 61.575 1 61.575 19.269* .000
Error 290.791 91 3.196
Within-subjects
Mode 14.349 1 14.349 11.509* .001
Mode * Grade .005 1 .005 .004 .949
Error (mode) 113.457 91 1.247
N=93.
*Differences significant at p < .05.
Pearson’s product-moment correlation were used to analyze the relationship between
comprehension for aloud and silent passage reading. For both elementary and secondary students the
correlation between aloud and silent-reading comprehension was significant (r = .526, p< .01 and r =
.379, p < .05, respectively).
Discussion
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The current study suggests that reading comprehension was enhanced when students read aloud
as opposed to silently. This finding has theoretical implications. Furthermore, because collecting data on
WCPM requires students to real aloud, the current findings have implications for assessing
comprehension following CBM assessment procedures.
Some researchers have proposed theories, based on their empirical findings, which suggest that
aloud reading may hinder comprehension because cognitive resources are being applied primarily to
achieving phonological recordings, as opposed to extracting meaning from the text (e.g., Jones &
Lockhart, 1919; Juel & Holmes, 1981). The results from the current study indicate that the students
answered significantly more comprehension questions correctly under the oral-reading condition when
compared to the silent-reading condition. This finding suggests that requiring students to read passages
aloud, as opposed to silently, does not hinder and may actually improve comprehension.
Other researchers have suggested that less skilled readers may benefit from reading aloud, as
hearing the word and the additional concentration and attention required to read aloud may enhance
comprehension (Kragler, 1995; Levin, 1979; Swalm, 1973). The current study provides some support for
these theories as comprehension was significantly higher under the aloud-reading condition. However, we
found no evidence that reading skill interacted with reading mode to impact comprehension (i.e., no
interaction effects) as both elementary and secondary students answered more questions correctly when
they read aloud. Furthermore, because over 82% of the elementary-student participants and 100% of the
secondary-student participants were reading at the instructional or mastery level (according to their
WCPM scores), the current study suggests that aloud reading enhanced comprehension in average and
skilled readers. These results conflict with Miller and Smith (1990) who found that average readers
comprehend more when reading silently and that reading mode (silent versus aloud) did not affect
comprehension in highly skilled readers.
While the current results appear to support cognitive theories which suggest that comprehension
is enhanced when students read aloud, there are several threats to internal validity associated with the
current study that suggest rival hypotheses may account for the current results. Many of these limitations
are related to procedures used to assess WCPM. In the current study, when students read silently, the
examiner had no way of knowing if the student was actually reading and/or read the entire passage.
However, when students read orally, experimenters confirmed that the student actually read the entire
passage. Furthermore, in keeping with prescribed procedures for assessing WCPM (e.g., Deno & Mirkin,
1977; Shapiro, 1996), the experimenter re-directed students if they skipped or repeated lines. Therefore,
the significantly higher level of comprehension for the oral passages relative to the silent passages may
have been caused by students’ failure to read the entire passage in sequence under the silent-reading
condition. Future researchers could use various procedures to address these limitations. For example,
reinforcing students for response accuracy may increase the probability that students silently read the
entire passage (Skinner et al., 2005). Having students wear goggles that track eye-movement may also
help ensure students read the entire passage silently (Neddenriep, 2003).
An alternative rival hypothesis is also related to CBM assessment procedures. While reading
aloud, when a student paused for more than 5 seconds, the examiner provided the correct word to the
student. Under the silent-reading condition the examiner did not provide unknown words to students.
Providing unknown words may have enhanced the students’ comprehension under the oral-reading
condition. Future research should be done to investigate whether providing students with correct words
enhanced comprehension during CBM assessment procedures.
Because we used CBM assessment procedures during the aloud reading condition the current
study has implications for assessing reading skills. Although WCPM has been shown to correlate with
reading comprehension, WCPM does not provide a direct measure of comprehension (Skinner et al.,
2002). Administering questions after students read passages aloud could be used to ensure that students
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who read rapidly and accurately also comprehend what they read. The current results suggest that
requiring students to read aloud, as opposed to silently, does not hinder and may actually enhance student
comprehension. Thus, the current study supports Shapiro’s (1996) recommendation for assessing
comprehension after students have read passages aloud to ensure that the student comprehends what they
have read.
The current study also raises some concerns related to assessing comprehension following aloud
reading. Perhaps the biggest concern is the correlations between aloud and silent-reading comprehension.
For elementary students, aloud-reading comprehension only accounted for approximately 27.66% of the
variance in silent-reading comprehension. For secondary students, aloud-reading comprehension
accounted for only 14.38% of the variance in student silent-reading comprehension. These data suggest
that aloud comprehension scores may not be very strong predictors of silent-reading comprehension.
The weak correlations suggest that silent-reading and aloud reading comprehension may be better
conceptualized as two distinct skills, especially for secondary students. However, before drawing such
conclusions, researchers should address other methodological limitations that may account for these weak
correlations. First, the sample sizes were relatively small. Second, for both groups the samples contained
very few poor readers. Less than 18% of the elementary students and no secondary students were reading
at a frustrational level. Thus, the range of scores across both groups may have been restricted because
poor readers may have been less likely to agree to participate. This is especially true for the secondary
students, who declined to participate at a much higher rate than the elementary students. Finally, the range
of possible scores on comprehension questions was also restricted as students could only score 0-10.
Thus, the small sample size, restricted range of reading skills across the participants, and the lack of
sensitivity associated with the reading comprehension measure may have reduced the probability of
finding strong correlations between the aloud and silent-reading comprehension measures.
Future research is needed to account for the relationship between aloud and silent-reading
comprehension. Additionally, researchers should address external validity limitations associated with the
current study. Similar studies should include more participants who were experiencing reading
difficulties. Although the relationship between oral and silent-reading comprehension was investigated,
future researchers should examine the relationship between oral and silent-reading comprehension and
other measures of reading skill (e.g., Cloze procedure, standardized reading assessments). Finally,
although reading comprehension levels may provide a more direct measure of comprehension than
commonly used indicators or correlates, this measure may lack the sensitivity needed for evaluating the
effects of interventions (Skinner, 1998). Future researchers should continue to develop and evaluate
procedures that may enhance the sensitivity of such measures.
Footnotes
1 The researchers wish to acknowledge the support of the Statistics Consulting Center at The University of
Tennessee and, in particular, Michael A. O'Neil who assisted the researchers with data analysis
procedures.
2 There are several notable exceptions when the primary purpose or function of reading is not the reader’s
comprehension of text. For example, radio and television professionals may read the news aloud or an
adult may read a story to a child. Other examples include when students read aloud so that educators can
assess their reading skills (e.g., collect data on words correct per minute).
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Author Contact Information:
Corresponding Author:
Christopher H. Skinner, Ph.D.
The University of Tennessee
Claxton Complex A-518
Knoxville TN 37996-3452
(865) 974-8403
cskinne1@utk.edu
Andrea D. Hale, Ph.D., NCSP
Assistant Professor/School Psychology Coordinator
Eastern Kentucky University
521 Lancaster Avenue
127 Cammack Building
Richmond, KY 40475
(859) 622-1109
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andrea.hale@eku.edu
Christopher H. Skinner, Ph.D.
Professor and Coordinator of School Psychology Programs
The University of Tennessee
Claxton Complex A-518
Knoxville TN 37996-3452
(865) 974-8403
cskinne1@utk.edu
Christine E. Neddenriep, Ph.D., NCSP
Assistant Professor
Department of Psychology
Winther Hall, Room 5040
The University of Wisconsin-Whitewater
800 West Main Street
Whitewater, WI 53190-1790
(262) 472-1850
neddenrc@uww.edu
Jessica D. Allin, Ph.D.
School Psychologist
Cherokee Health Systems
1925 Sulphur Springs Rd, Morristown, TN 37813;
(865) 693-1279
jessica.allin@cherokeehealth.com
Renee O. Hawkins, Ph.D.
Assistant Professor
University of Cincinnati
P.O. Box 210002
Cincinnati, OH 45221
(513) 556-3342
renee.hawkins@uc.edu
Jacqueline L. Williams, B.S.
Graduate Assistant-Student Counseling Center
University of Tennessee
Home: 4232 Taliluna Ave., Knoxville, TN 37919
Cell: (616) 240-7233
jwilli89@utk.edu
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