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THE APPLICATION OF DYNAMIC
METHODS TO
LANGUAGE ASSESSMENT: A
NONBIASED PROCEDURE
Elizabeth Pena
Rosemary Quinn
Aquiles Iglesias
What is Dynamic Assessment?
• Dynamic assessment is a method of assessment
whereby a student’s ability to learn a skill (i.e., a
student’s modifiability) is measured after a teaching
phase led by an evaluator.
• Dynamic assessment is a practice that may be
considered within the context of a comprehensive
special education evaluation.
Quick Read
The rationale for using dynamic assessment during an
initial evaluation for special education is to:
a. address the bias of standardized testing
b. aid in determining whether student needs are from a
lack of exposure or due to cultural or linguistic
differences.
c. determine the need for specially designed
instruction and inform intervention
RATIONALE FOR THE PRESENT STUDY
Low socioeconomic status (SES) Latino-American and African-
American children enrolled in Head Start programs are often
described as educationally at risk. This label is frequently
ascribed as a function of the poor academic achievement
of most members of these populations.
RATIONALE FOR THE PRESENT STUDY
One area in which these children often perform below the
national average is on standardized tests. Frequently, these
children are described as having poor vocabulary, a word-
finding deficit, or a vocabulary (language) delay. Many of these
tests, however, are based on labeling tasks, and one-word
labeling of objects is not emphasized in the same manner or
frequency across all cultural/linguistic groups.
Objectives of the Study
The purposes of this study were to
(a) explore the match/mismatch between home demands and
the test tasks of labeling versus description and
(b) demonstrate the efficacy of a dynamic approach to
language assessment in differentiating nondisabled
children with language differences (academically at risk)
from those with language disorders.
METHOD
Subject:
- Three Head Start classes with 20 students
- children ranged in age from 3-7 to 4-9 years
- these children were exposed to both English and
Spanish at home and in the community
- 26 boys and 34 girls
- 50 sample
Instrument:
- two standardized test instruments
- Expressive One-Word Picture Vocabulary Test
(EOWPVT) and the Comprehension subtest (CSSB) of
the Stanford-Binet Intelligence Scale
METHOD
The EOWPVT elicits single-word labels, using black and white
line drawings. The items on the test reflect vocabulary
commonly used in preschool, kindergarten, and through the
sixth grade. The CSSB is mainly a comprehension and
description task: Children are asked to point to body parts,
answer questions regarding the use of common objects, and
respond to process (why) questions.
METHOD
Hypotheses
1. Children on average would perform well on the CSSB but
not on the pretest EOWPVT (EOWPVT1).
2. The CSSB would be a better indicator of PLD than the
EOWPVT
3. Following mediation, it was expected that posttest scores
on the EOWPVT (EOWPVT2) would be higher for the
nondisabled children with language differences than the
PLD children.
METHOD
Pretest (Static Assessment)
The following was the protocol for the pretest:
A. Labeling—Expressive One-Word Picture Vocabulary Test
B. Description—Comprehension subtest of the Stanford-Binet
Intelligence Scale
C. Phonology—Assessment of Phonologic Disabilities
Screening (Iglesias, 1978)
D. Classroom interaction observation (CIO)
E. Hearing screening
METHOD
Teach (Mediation)
Mediation consisted of two 20-minute interventions in the
classroom in small groups. This time period is realistic in
terms of the attention span of young children. Although the
tasks were similar, the specific interactions varied depending
on individual children's responses. Tasks consisted of stories,
classification, and puzzle completion.
METHOD
Posttest
After mediation, the EOWPVT was administered to most of the
children (n = 48). At the end of the school year, a sample of the
children (n = 27) were tested again on the EOWPVT
(EOWPVT3).
Scoring
Each child was tested individually, and their responses were recorded
in the language(s) of the child.
Results of the EOWPVT and CSSB were scored following instructions
contained in the respective administration manuals. For the EOWPVT,
standardized scores below 70 fell more sharply than those above 70
as a result of the test author's smoothing the means and standard
deviations. Standard scores below 70 were recalculated according to
Witte (1989).
RESULTS
ANOVA results confirmed the prediction that the children would
experience less difficulty with the description task. Examination of
individual cases showed that 9 (18%) of the children scored within 1
standard deviation from the mean on the EOWPVT 1, while 30 (60%)
of the children scored within 1 standard deviation from the mean on
the CSSB. The CSSB result supports the second hypothesis
regarding nondisabled children in that the CSSB is more sensitive in
differentiating between nondisabled and PLD children. This is
consistent with the claim that a test matching the values and
experiences of children is a more valid measure of language ability.
RESULTS
The third hypothesis addressed the efficacy of dynamic language
assessment procedures. PLD children, on average, were less
responsive to mediation and required a more intense effort on the
part of the examiner to induce change.
RESULTS
The results are interpreted as further validating the constructs
underlying dynamic assessment. This also has implications for
intervention. Although the pretest means were very similar, making it
virtually impossible to separate the nondisabled and PLD children on
the basis of labeling skills, the posttest scores were very different for
the two groups. The nondisabled children's average score on the
posttest was 21 points higher than that of the PLD children.
Furthermore, the PLD children showed a much smaller gain (+1.88 vs.
+ 13.93 for nondisabled) from pretest to posttest on the EOWPVT
after mediation, which seems to confirm the hypothesis of lower
modifiability for the PLD group .
T H A N K Y O U !
G O D B L E S S 😊

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DYNAMIC METHOD.pptx

  • 1. THE APPLICATION OF DYNAMIC METHODS TO LANGUAGE ASSESSMENT: A NONBIASED PROCEDURE Elizabeth Pena Rosemary Quinn Aquiles Iglesias
  • 2. What is Dynamic Assessment? • Dynamic assessment is a method of assessment whereby a student’s ability to learn a skill (i.e., a student’s modifiability) is measured after a teaching phase led by an evaluator. • Dynamic assessment is a practice that may be considered within the context of a comprehensive special education evaluation.
  • 3. Quick Read The rationale for using dynamic assessment during an initial evaluation for special education is to: a. address the bias of standardized testing b. aid in determining whether student needs are from a lack of exposure or due to cultural or linguistic differences. c. determine the need for specially designed instruction and inform intervention
  • 4. RATIONALE FOR THE PRESENT STUDY Low socioeconomic status (SES) Latino-American and African- American children enrolled in Head Start programs are often described as educationally at risk. This label is frequently ascribed as a function of the poor academic achievement of most members of these populations.
  • 5. RATIONALE FOR THE PRESENT STUDY One area in which these children often perform below the national average is on standardized tests. Frequently, these children are described as having poor vocabulary, a word- finding deficit, or a vocabulary (language) delay. Many of these tests, however, are based on labeling tasks, and one-word labeling of objects is not emphasized in the same manner or frequency across all cultural/linguistic groups.
  • 6. Objectives of the Study The purposes of this study were to (a) explore the match/mismatch between home demands and the test tasks of labeling versus description and (b) demonstrate the efficacy of a dynamic approach to language assessment in differentiating nondisabled children with language differences (academically at risk) from those with language disorders.
  • 7. METHOD Subject: - Three Head Start classes with 20 students - children ranged in age from 3-7 to 4-9 years - these children were exposed to both English and Spanish at home and in the community - 26 boys and 34 girls - 50 sample Instrument: - two standardized test instruments - Expressive One-Word Picture Vocabulary Test (EOWPVT) and the Comprehension subtest (CSSB) of the Stanford-Binet Intelligence Scale
  • 8. METHOD The EOWPVT elicits single-word labels, using black and white line drawings. The items on the test reflect vocabulary commonly used in preschool, kindergarten, and through the sixth grade. The CSSB is mainly a comprehension and description task: Children are asked to point to body parts, answer questions regarding the use of common objects, and respond to process (why) questions.
  • 9. METHOD Hypotheses 1. Children on average would perform well on the CSSB but not on the pretest EOWPVT (EOWPVT1). 2. The CSSB would be a better indicator of PLD than the EOWPVT 3. Following mediation, it was expected that posttest scores on the EOWPVT (EOWPVT2) would be higher for the nondisabled children with language differences than the PLD children.
  • 10. METHOD Pretest (Static Assessment) The following was the protocol for the pretest: A. Labeling—Expressive One-Word Picture Vocabulary Test B. Description—Comprehension subtest of the Stanford-Binet Intelligence Scale C. Phonology—Assessment of Phonologic Disabilities Screening (Iglesias, 1978) D. Classroom interaction observation (CIO) E. Hearing screening
  • 11. METHOD Teach (Mediation) Mediation consisted of two 20-minute interventions in the classroom in small groups. This time period is realistic in terms of the attention span of young children. Although the tasks were similar, the specific interactions varied depending on individual children's responses. Tasks consisted of stories, classification, and puzzle completion.
  • 12. METHOD Posttest After mediation, the EOWPVT was administered to most of the children (n = 48). At the end of the school year, a sample of the children (n = 27) were tested again on the EOWPVT (EOWPVT3). Scoring Each child was tested individually, and their responses were recorded in the language(s) of the child. Results of the EOWPVT and CSSB were scored following instructions contained in the respective administration manuals. For the EOWPVT, standardized scores below 70 fell more sharply than those above 70 as a result of the test author's smoothing the means and standard deviations. Standard scores below 70 were recalculated according to Witte (1989).
  • 13. RESULTS ANOVA results confirmed the prediction that the children would experience less difficulty with the description task. Examination of individual cases showed that 9 (18%) of the children scored within 1 standard deviation from the mean on the EOWPVT 1, while 30 (60%) of the children scored within 1 standard deviation from the mean on the CSSB. The CSSB result supports the second hypothesis regarding nondisabled children in that the CSSB is more sensitive in differentiating between nondisabled and PLD children. This is consistent with the claim that a test matching the values and experiences of children is a more valid measure of language ability.
  • 14. RESULTS The third hypothesis addressed the efficacy of dynamic language assessment procedures. PLD children, on average, were less responsive to mediation and required a more intense effort on the part of the examiner to induce change.
  • 15. RESULTS The results are interpreted as further validating the constructs underlying dynamic assessment. This also has implications for intervention. Although the pretest means were very similar, making it virtually impossible to separate the nondisabled and PLD children on the basis of labeling skills, the posttest scores were very different for the two groups. The nondisabled children's average score on the posttest was 21 points higher than that of the PLD children. Furthermore, the PLD children showed a much smaller gain (+1.88 vs. + 13.93 for nondisabled) from pretest to posttest on the EOWPVT after mediation, which seems to confirm the hypothesis of lower modifiability for the PLD group .
  • 16. T H A N K Y O U ! G O D B L E S S 😊