Transcript
  • 1 9834 11-22

    1126 95

    95

  • 2

    Snows, Burns, & Griffin, 1998

    2006

    Salvia & Ysseldyke, 1995

    199819992000a, 2000b200020032005

    2006

    Salvia & Ysseldyke, 1995

    reading disabilities

    DSM-IV, APA, 1994

    Hoover Gough1990simple view of readingGough Tunmer1986

    Aaron Joshi specific reading disabilities nonspecific reading disabilitieslow ability readerAaron & Joshi, 1992

    dyslexia dyslexia reading disabilities Stanovich, 1988; Vellutino, Fletcher, & Snowling, 2004

    slow learner Catts

    reading disabilitiesCatts & Kamhi, 1999 Googh

    dyslexiahyperlexia language learning disabilitiesCatts Catts, Hogan, & Fey, 2003 Bishop Snowling2004

    specific

  • 3

    language impairment SLI Y X

    no impairmentSLIpoor comprehenderNation2005developmental disorders

    Nation Gough Catts

    Nation, 2005Nation

    Aaron Bishop

    +

    +

    -

    +

    -

    +

    - -

    Catts& Camhi Bishop

    SLI

    Aaron

    2006

    ChallChall, 1996

    2007a

    2007a

  • 4

    2007

    2006

    Aaron

    85

    85 CattsAaron

    Salvia Ysseldyke1995

    screenreferral to Child Study Teamexceptional decisionseligibility decisionscreen

    high risk

    National Research CouncilSnow

    Snow, Burns, & Griffin, 1998

    rapid namingconfrontation naming

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    .33.57

    Huang & Hanley, 1997

    Visual Form DiscriminationR2=.45

    R2=.44IQ R2=.09

    Hu & Catts, 1998

    20011995

    19972007

    Speece2005

    over-identificationunder- identificationOConnor

    OConnor & Jenkins, 1999

    2005

    Salvia Ysseldyke1995

    positive high risk

    Salvia & Ysseldyke, 1995

    Shinn poor readerShinn, Tindal, & Spira, 1987

    10

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    Bahr Fuchs1991difficult-to-teach 40

    Snow, Burns, & Griffin, 1998

    207 95

    3 3

    3-5

    363 428 369

    4 130 4 124 4 109 363

    4 136 4 136 5 156 428

    4 131 4 110 4 128 369

    (335)

    12 397 12 370 13 393 1160 1126

    1160

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    34

    1126 296

    176

    IQ85

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    ()

    1126 148

    65 83 296 830

    54

    28

    47

    141

    54

    19

    51

    28

    128

    IQ

    11

    IQ

    196

    27

    45

    23

    OK

    101

    .80

    .50~.78

    .54~.66

    PR25 2007

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    AB

    A .80 .70.94

    .42~.70

    PR16

    100R(1998)-C1252005a

    .42~.76

    2007a

    G34 , G56 G79 .60~.81.43~.79.39~.69

    2007b

    .77~.78.92.64

    .

    2007b

    B1, B2, B34, B57, B89 .90.80

    .50~.78.46~.77

    1997

    6

    7 .57.97 .832002 WISC

    WISC IQ

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    94 10-11

    A12 A39 A A39 A

    2-310% 100R C125

    119 26.8% 65 54

    FIQ85 IQ85 196

    95

    excel

    SPSS 95

    60

    118 7

    3

    .614.01

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    75.90% (296/390)37.95% (148/390) 13.84% (54/390) 95 84

    88.42% (84/95) 47 49.47% (47/95)

    296(75.90%) 84(88.42%)

    148(37.95%) 47(49.47%)

    54(13.84%) 36(37.89%)

    390 95

    54 13.84%(54/390) 18.24%(54/296)

    36.49%(54/148)

    36 36/95, 37.89% 42.85%36/84 78.26%36/4757.14%

    296 148 1126 17.46%13.14%

    21.96% 36.48%

    Shinn, Tindal, & Spira ,1987

    296 65 17.46% 21.96%

    148 54 13.14% 36.48%

    84 28.37%84/296

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    47 31.75%47/148

    50% 47/94 36.36%84/231

    (sensitivity)

    88.42%(84/95)

    49.47%(47/95)

    a b a b

    296 231 84 28.37% 36.36%

    148 94 47 31.75% 50%

    5288.1% 3050.84% 23 (38.98%) 32 88.88% 17

    47.22% 13 36.11%

    2 .95(2) =. 346, P > .05,

    29(30.52%) 19(20%) 48

    7(7.32%) 4(4.21%)) 11

    23(24.21%) 13(13.68%) 36

    59(62.1%) 36(37.89%) 95

    10(62.5%10/16) 11

    (68.75%11/16) 531.25%

    5/16 44

    (95.65%44/46) 22

    (47.82%22/46) 20(43.48%

    20/46) 30

    (90.9%30/33) 14

    (42.42%14/33) 11(33.33%

    11/33)

    2 .95(4) = 11.18, P

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    < .05

    G2 G4 G7

    5 24 19 48

    6 2 3 11

    5 20 11 36

    16 46 33 95

    2880%28/35 22 62.85%22/35

    1542.85%15/35 34 91.89%34/37 14 37.83%14/37 11 29.72%11/37 22 95.65%22/23 11 47.82%11/23 10 43.47%10/23

    2 .95(4) = 6.481, P < .05

    28:22

    34:14 22:11 2

    2.429.72%

    13 23 12 48

    7 3 1 11

    15 11 10 36

    35 37 23 95

    207

    ANOVA

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    F 6.857~15.82P.01p=.065

    H(1995)

    H.1143.579P.05

    M(SD)

    M(SD) MSD

    F

    G2 794.83(247.6) 968.75(350.7) 358.04(367.2) 10.52**

    G4 937.70(227.44) 1468.77(472.24) 1344.70(616.48) 2.86

    G7 2857.65(683.18) 2225.04(909.59) 1594.06(1052.52) 6.86**

    G2 17.09(2.30) 12.21(1.27) 11.44(4.75) 12.03**

    G4 13.80(3.56) 12.11(4.58) 9.08(2.98) 5.61**

    G7 22.75(6.47) 17.52(4.99) 15.82 (6.44) 5.83**

    ** P

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    > .05) 81.48%, 88.89%, 91.6% 51.85%,

    46.67%, 52.17%

    13(13.7%) 24(25.3%) 11(11.6%) 48

    5(5.2%) 5(5.2%) 1(1.1%) 11

    9(9.5%) 16(16.8%) 11(11.6%) 36

    27(28.4%) 45(47.4%) 23(24.2%) 95

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    82% 57.14%

    62.5%

    Gerber Semmel (1984)

    Shinn Shinn et al., 1987

    Gerber

    Shinn

    Shinn

    Shinn Bahr

    2005b

    Shinn

    ShinnShinn et al., 1987

    4.5~156 3000 2300

    10

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    92

    2003

    Shinn

    Shinn

    Shinn

    Bahr

    .88

    37.5%

    50%

    10%

    Gaber

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    2005

    2005291-24

    1999171-12

    2007

    32(4)1-18. 1995

    2000a1979-104

    2000b19105-126

    2006

    1997

    729-47 2007

    1998K-316

    65-86 1998100R

    20032003 11 23

    2005a C125

    2005b--

    2007a

    2007b

    1995

    2005

    28123-144. 2006

    (2002)

    WISC-III --

    49(2)155-182 2003

    241-14 2007a

    2007b

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    1997

    2001

    21215-237. 2000

    18157-172 Aaron, P. G., & Joshi, R. M. (1992). Reading

    problems: Consultation and remediation. New York: Guilford.

    American Psychiatric Association (1994). Diag-nostic and statistical manual of mental dis-orders. 4th ed. Washington D. C.: Autor.

    Bahr, M. W., & Fuchs, D. (1991). Are teachers perceptions of difficult-to-teach students ra-cially biased? School Psychology Review, 20, 599-608.

    Bishop, D. V. M., & Snowling, M. J. (2004). De-velopmental dyslexia and specific language impairment: Same or different? Psychologi-cal Bulletin, 130, 858-886.

    Catts, H. W., Hogan, T. P., & Fey, M. E. (2003). Subgrouping poor readers on the basis of in-dividual differences in reading related abili-ties. Journal of Learning Disabilities, 36, 151-164.

    Catts, H. W., & Kamhi, A. G. (1999). Causes of reading disabilities. In H. W. Catts & A. G. Kamhi (Eds.), Language and reading dis-abilities (pp. 95-127). Boston, MA: Allyn & Bacon.

    Chall, J. (1996). Stages of reading development. 2nd ed. Orlando, FL: Harcourt Brace & Com.

    Gerber, M., & Semmel, M. (1984). Teacher as imperfect test: reconceptualizing the referral

    process. Educational Psychologist, 19(3), 137-148,

    Gough, P. B., & Tunmer, W. E. (1986). Decoding, reading and reading disability. Remedial and Special Education, 7(1), 6-10.

    Hoover,W. A., & Gough, P. B. (1990). The simple viewof reading. Reading and Writing: An In-terdisciplinary Journal, 2, 127-160.

    Hu, C. F., & Catts, H. W. (1998). The role of phonological processing in early reading ability: What we can learn from Chinese. Scientific Study of Reading, 2, 55-79.

    Huang, H. S., & Hanley, J. R. (1997). A longitu-dinal study of phonological awarness, visual skills, and Chinese reading acquisisiton among first-graders in Taiwan. Interna-tional Journal of Behavioral Development, 20, 249-268.

    Nation, K. (2005). Why reading comprehension failed: Insights from developmental disorder. Topics in Language Disorder, 25, 21-32.

    OConnor, R. E., & Jenkins, J. R. (1999). Predic-tion of reading disabilities in kindergarten and first grade. Scientific Study of Reading, 3, 159-197.

    Salvia, J., & Ysseldyke, J. (1995). Assessment. 6th ed. Boston, MA: Houghton Mifflin.

    Shinn, M. R., Tindal, G. A., & Spira, D. A. (1987). Special education referral as an index teacher tolerance: Are teacher imperfect test. Excep-tional Children, 54, 32-40.

    Snow, C. E., Burns, M. S., & Griffin, P. (1998). Preventing reading difficulties in young children. Washington D. C.: National Acad-emy Press.

    Speece, D. (2005). Hitting the moving target known as reading development: Some

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    thoughts on screening children for secondary intervention. Journal of Learning Disabili-ties, 38, 487-493.

    Stanovich, K. E. (1988). Explaining the differ-ences between the dyslexic and the gar-den-variety poor reader: the phonologi-cal-core variable-difference model. Journal of Learning Disabilities, 21, 590-604.

    Vellutino, F. R., Fletcher, J. M., & Snowling, M., (2004). Specific reading disability (dyslexia): what have we learned in the past decades? Journal of Child Psychology and Psychiatry, 45(1), 2-40.

    2008.06.03 2008.11.03

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    Bulletin of Special Education 2009, 34(1), 1-22

    A Study of the Identification Process for Students with Reading Disabilities: Screening versus Teacher Referral

    Hung Li-Yu Professor, Dept. of Special Education, National Taiwan

    Normal University

    Chen Shu-Li Associate Professor, Dept. of Education,

    National Taitung University

    Wang Chiung-ChuAssociate Professor, Dept. of

    Special Education, National Kaohsiung Normal

    University

    Fang Chin-Yia Associate Professor, Center for Teacher

    Education, National Kaohsiung Normal

    University

    Chang Yu-Wen Associate Professor, Dept. of Education, National Taipei

    Education University

    Chen Mei-Fang Professor, Dept. of Special Education, National Taiwan

    Normal University

    Ko Hwa-Wei Professor, Graduate Institute of

    Learning and Instruction, National Central University

    ABSTRACT

    Early identification of high-risk reading-disabled children is obviously important. Teacher referral and screening by means of tests are the two major ways of detecting students who are likely to have reading disabilities. Kos team proposed the six-stage process to identify the RD students with the assessment they conducted in the same pro-ject: (1) screening by reading competence, (2) excluding other factors, (3) detecting high-risk RD students, (4) excluding by IQ, (5) identifying the subtypes of RD, (6) diag-nosing the cognitive profile. Most schools take teacher referral in the first stage instead of the screening by the tests. Therefore, this study investigated the effectiveness of the two approaches in the first stage of the six-stage process of identifying RD students pro-posed by Ko (2006), There are 1126 students participating in this study; they were se-lected from three primary schools and three junior high schools in three different counties of Taiwan. When screened with group reading tests, close to 90% of these students were found to have RDs; however, the method of teacher referral identified only 88% of the students as having RDs, meaning the latter method was lightly less sensitive. It was also found that there are few differences (with regard to reading ability) between

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    screened RD students and the RD students referred by teachers. Schools tend to prefer teacher referral, yet the fact that this method appears to be less sensitive than screening is a crucial issue, especially in southern and eastern Taiwan, where a higher proportion of RD students fail to be detected by teachers. Teacher referral is subject to the subjective prejudices or preferences of teachers. Yet while screening is highly recommended as the first step in this identification process, taking teachers referrals into account with younger students is also recommended. Other recommendations are made regarding the practice of identifying RD students and possible areas for further research. Keywords: reading disability, early identification, screening, reading tests, teachers re-

    ferral, Kos 6-step process of identification of RD


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