Description of Foorman et al. (1998) - The
"Houston Study"
Introduction
A recent study sponsored by the NICHD evaluated the impact of both
classroom and tutorial treatments (Foorman, Francis, Fletcher,
Schatschneider, & Mehta, 1998). More specifically, the questions
addressed by this study were:
1.
how explicit should phonics instruction be for best results with
children at risk for reading failure?
2.
to what extent does the reading
development of such children depend on their growth in phonological
processing skills?
The three classroom approaches studied represent three currently
prominent and distinct views on how explicitly to develop beginners’
phonics and decoding skills within a print-rich environment.
These three classroom approaches can be found in the National
Research Council's
Preventing Reading Difficulties in Young Children on pages 199-207.
One approach emphasizes explicit instruction in letter-sound
correspondences practiced in decodable text (direct code; DC).
See an example of direct
code.
Another approach emphasizes less explicit instruction in systematic
sound-spelling patterns embedded in connected text (embedded code;
EC).
See an example of
embedded code.
The third approach emphasizes implicit instruction in the alphabetic
code while reading connected text (implicit code; IC).
See an example of
implicit code.
These three approaches were compared to standard classroom
instruction. The instructional approach of the tutorial sessions was
either matched to one of the three classroom approaches or involved
the district's standard tutorial regimen, based on the work of Clay
(1991).
The principles of whole language and embedded phonics have been
described above and correspond to the Implicit Code (IC) and
Embedded Code (EC) approaches used in this study. It is important to
note that the instructional procedure of embedded phonics was used
in the EC approach but not within the context of restructuring, as
was reviewed in the previous section.
Classrooms following the direct code approach used the basal reading
program, Collections for Young Scholars (Open Court, 1995), which
emphasizes a balance of skill- and literature-based activities.
Phonics
In terms of phonics, the first 30 lessons are devoted to phonemic
awareness and an understanding of the alphabetic principle; across
the middle weeks of the program, 42 spelling-sound correspondences
and spelling conventions are explicitly taught and exercised using
sound-spelling cards, alliterative stories, blending activities, and
controlled vocabulary stories for practicing newly taught patterns
in context.
Demographics
The 285 children in the study attended 8 elementary schools in a
Houston metropolitan area school district serving a high proportion
of economically disadvantaged students. The ethnic composition of
the sample was 60 percent African American, 20 percent Hispanic, 20
percent White.
The participating children were those 3-8 children in each regular
education classroom who were served through Title 1 in the
participating schools. The non-Title 1 children in the classrooms
were not participants in the study, at the request of district
officials; however, they received the same classroom curriculum as
the participating children. Although both first-and second-grade
classrooms were included, the first-grade sequence of instruction
was also used for the second graders in consideration of their low
achievement.
There were 19 implicit code, 20 embedded code, and 14 direct code
teachers, all of whom volunteered to participate. Professional
development sessions during the summer and throughout the year were
conducted by members of the research staff who had teaching
experience and were strong proponents of the approach for which they
were responsible.
In addition, there were 13 implicit code teachers in an "unseen
control" group who delivered the district’s standard instruction and
were trained and supervised by district personnel. Bi-monthly
monitoring confirmed that classroom teachers in the study generally
complied with their assigned instructional approaches.
Instructional groups did not differ in baseline word reading or
phonological processing scores.
Measurement of Word Reading and Phonological Processing
Word reading was measured by asking children to read 50 words aloud
that were resented one at a time on 4 x 6 cards. Words were matched
for frequency(Carroll, Davies, and Richman, 1971), were
representative of a diversity of linguistic features, and spanned
first through third grade level of difficulty. Scores were based on
the number of words read aloud correctly out of 50.
Phonological processing was measured by the synthesis and analysis
tests in the Torgesen-Wagner battery (see Wagner, Torgesen, and
Rashotte, 1994). The synthesis tests consisted of blending onset
rime (m-ouse), blending phonemes in read words (f-a-t), and blending
phonemes in nonwords (m-i-b). The analysis tests consisted of:
1. first sound comparison (where children were asked to point to the
picture of 3 pictures that started with the same sound as a target
picture)
2. elision (dropping the initial. final, or middle sound of a spoken
word)
3. sound categorization (naming the nonrhyming word from a set of 3
spoken words)
4. segmentation of a spoken word into phonemes
Each test consisted of demonstration items and 15 test items. Scores
were based on factor scores that ranged from 1 to 4.
Because all children received the same curriculum regardless of
grade, analyses were conducted with age rather than grade as a
factor. Exploratory analyses showed that there was no remaining
variability in outcomes due to grade once age effects were
controlled.
Controlling for differences in age, ethnicity, and verbal IQ, the
researchers found that children in the direct code (DC) approach
improved in word reading at a faster rate and had higher word
recognition skills in April than children receiving the implicit
code (IC) approach (either the research-based IC or the district’s
standard IC).
These differences are shown in Figure 1, both for raw scores in the
top panel (i.e., observed data) and predicted scores in the bottom
panel (i.e., estimates based on the fitted growth model).
Figure 1
Further, whereas a relatively large percentage of children in the
implicit code (IC-R and IC-S) and embedded code (EC) groups
exhibited no measurable gains in word reading across the school
year, growth in word reading for the direct code (DC) group appeared
more or less normally distributed, as can be seen in Figure 2.
In fact, only 16% of children in the DC group learned at a rate of
2.5 words or less per school year on the 50-word list, compared to
46% of the children in the IC-R group, 44% of the children in the EC
group, and 38% of the children in the IC-S group.
Figure 2
Effects of instructional group on word recognition were moderated by
initial levels in phonological processing, and were most apparent in
children with poorer initial phonological processing skills, as is
apparent in Figure 3.
Figure 3
As is also apparent from Figure 3, there are some children who start
the year with low phonological scores who still manage to exhibit
considerable growth in reading words. These children were primarily
in the DC group, as evidenced by the vertical spread of the diamonds
in the left hand side of the graph and the lack of spread in the
triangles representing the EC group and the squares representing the
IC-R group.
Instructional group differences on end-of-year achievement tests
(Woodcock &Johnson, 1989) were clearly apparent: The DC group
approached national average on decoding (43% ile) and passage
comprehension (45% ile), compared to the IC-R group’s means of 29%
ile and 35% ile. (EC group means were 27% ile and 33% ile,
respectively).
Although decoding differences were robust, mean differences on the
passage comprehension test (i.e., p = .03 for the contrast of the
two code groups and p = .056 for the DC vs. IC-R contrast) did not
meet the critical level of alpha adopted for this study (i.e., .05/3
experimental groups = .0167).
However, the approach of the authors was designed to minimize Type I
errors and was conservative. The mean differences on this measure of
reading comprehension were large, favoring the DC group.
Furthermore, logistic regression showed that children in the IC and
EC groups were much more likely to score below the 25th percentile
on the standardized decoding test than children in the DC group.
Scores below the 25th percentile are often used to indicate reading
disability using traditional diagnostic criteria (Fletcher et al.,
1994).
In spite of lower reading performance, children in the IC-R had more
positive attitudes towards reading, a finding consistent with other
research (e.g., Stahl, McKenna, & Pagnucco, 1994). It is possible
that these positive attitudes towards reading, although not
associated with higher performance in beginning reading in the
research-based implicit code group, may enable students to sustain
an interest in reading through the upper grades in school.
Also, with respect to the large individual differences in
performance in the EC group, it is possible that some decoding skill
is needed before known orthographic rimes are spontaneously used to
read unknown words by analogy, thereby requiring a longer period of
time for the benefits of the embedded code approach to be realized.
As with any other intervention study, longer term follow up with
these children is clearly indicated.
In this study, effects of tutoring were minimal. There was no
significant difference in reading performance for students whose
tutorial matched the content of classroom instruction or for those
whose tutorial was based on the district’s standard tutorial
regimen, based on the work of Clay (1991).
There was also no effect of student-teacher ratio. However, the
ratio was not a constant 1:1 or small group because of teachers’
need to reconstitute groups to adjust for behavioral or learning
differences.
Thus, results are not seen as inconsistent with the research
supporting the benefits of one-on-one tutoring (e.g., Wasik & Slavin,
1993), especially for students severely impaired in phonological
processing skills (Torgesen, 1997; Vellutino et al., 1996).
Summary
In summary, the results of this study clearly indicate that early
instructional intervention makes a difference for the development
and outcomes of reading skills in first and second grade children
at-risk for reading failure. However, not all interventions are
equal. Children who were explicitly instructed in the alphabetic
principle improved in word reading skill at a significantly faster
rate than children indirectly instructed. Children whose instruction
was at an intermediate level of explicitness (the embedded code
approach) were at an intermediate level of reading growth and
outcomes. Group differences in reading comprehension paralleled
those for word recognition, but were less robust.
Additionally, these performance differences were due to instruction
and not to behavioral or affective differences among groups.
Similarly, although outcomes varied across classrooms, measured
characteristics of the teachers did not relate significantly to
outcome.
Generally, teachers’ attitude toward and compliance with
instructional practices were very good across instructional groups
and the amount of time devoted to reading and language arts
instruction was comparable.
Furthermore, children in all instructional groups with higher
phonological processing scores in the beginning of the year
demonstrated improvement in word reading skills across the year.
However, children with low initial status in phonological processing
were more likely to improve in word reading if they received
explicit instruction in the alphabetic principle than less explicit
or implicit instruction. The authors are pursuing this important
finding by comparing the direct code program used in this study
(i.e., Open Court, 1995) with other direct code programs that vary
in the degree of scriptedness of the teacher’s guide and in the
degree of decodability of connected text.
Debate
Considerable debate has developed from this study. Read more about
this debate.
References
Carroll, J., Davies, P., & Richman, B. (1971). T
he American
heritage word frequency book. Boston,MA: Houghton Mifflin.
Clay, M. (1991).
Reading recovery: A guidebook for teachers in
training. Portsmouth,NH: Heinemann.
Foorman, B.R., Fletcher, J.M., Francis, D.J., Schatschneider, C., &
Mehta, P. (1998). The Role of Instruction in Learning to Read:
Preventing Reading Failure in At-Risk Children.
Journal of
Educational Psychology, 90, 37-55.
Fletcher, J.M., Shaywitz, S.E., Shankweiler, D.P., Katz, L.,
Liberman, I.Y., Stuebing, K.K., Francis, D.J., Fowler, A.E., &
Shaywitz, B.A. (1994). Cognitive profiles of reading disability:
Comparisons of discrepancy and low achievement definitions.
Journal of Educational Psychology, 86, 6-23.
Open Court Reading. (1995).
Collections for young scholars.Chicago
and Peru, IL:SRA/McGraw-Hill.
Stahl, S.A., McKenna, M.C., & Pagnucco, J.R. (1994). The effects of
whole-language instruction: An update and a reappraisal.
Educational Psychologist, 29, 175-186.
Torgesen, J.K. (1997). The prevention and remediation of reading
disabilities: Evaluating what we know from research.
Journal of
Academic Language Therapy, 1, 11-47.
Vellutino, F.R., Scanlon, D.M., Sipay, E., Small, S., Pratt, A.,
Chen, R., & Denckla, M. (1996). Cognitive profiles of
difficult-to-remediate and readily remediated poor readers: Early
intervention as a vehicle for distinguishing between cognitive and
experiential deficits as basic causes of specific reading
disability.
Journal of Educational Psychology, 88, 601-638.
Wagner, R., Torgesen, J.K., & Rashotte, C.A. (1994). Development of
reading-related phonological processing abilities: New evidence of
bidirectional causality from a latent variable longitudinal study.
Developmental Psychology, 30, 73-87.
Wasik, B., & Slavin, R.E. (1993). Preventing early reading failure
with one-to-one tutoring: A review of five programs.
Reading
Research Quarterly, 28, 178-200.
Woodcock, R.W., & Johnson, M.B. (1989).
Woodcock-Johnson
Psychoeducational Battery-Revised. Allen, TX:DLM Teaching
Resources.