기관회원 [로그인]
소속기관에서 받은 아이디, 비밀번호를 입력해 주세요.
개인회원 [로그인]

비회원 구매시 입력하신 핸드폰번호를 입력해 주세요.
본인 인증 후 구매내역을 확인하실 수 있습니다.

회원가입
서지반출
Relationships Among Conversational Language Samples and Norm-Referenced Test Scores
[STEP1]서지반출 형식 선택
파일형식
@
서지도구
SNS
기타
[STEP2]서지반출 정보 선택
  • 제목
  • URL
돌아가기
확인
취소
  • Relationships Among Conversational Language Samples and Norm-Referenced Test Scores
  • Relationships Among Conversational Language Samples and Norm-Referenced Test Scores
저자명
Robert E. Owens, Stacey L. Pavelko
간행물명
Clinical Archives of Communication DisordersSCOPUS
권/호정보
2017년|2권 1호(통권2호)|pp.43-50 (8 pages)
발행정보
한국언어재활사협회|한국
파일정보
정기간행물|KOR|
PDF텍스트(0.21MB)
주제분야
의약학
서지반출

국문초록

Purpose: Research demonstrates that many speech-language pathologists (SLPs) do not routinely include language sample analysis (LSA) in their clinical practice because LSA has limited recognition as a valid assessment measure. Limited research suggests that some LSA values obtained from narrative samples correlate with the results of standardized language tests. This research examined the relationship among values obtained from conversational language samples and the results of standardized testing. Methods: This study investigated whether LSA values obtained from conversational language samples shared a relationship with the results of standardized language testing. A total of 16 children ages 43–90 months (M=61.5 months) completed three subtests of a standardized language test and a 15-minute conversational language sample. Fifty-utterance language samples were analyzed for four LSA values including mean length of utterance (MLUs), total number of words (TNW), clauses per sentence (CPS) and words per sentence (WPS). Results: Results revealed that three of the four LSA values (MLUs, TNW, and WPS) demonstrated statistically significant (ps<.006) strong correlations (rs>.65) with the results of norm-referenced language testing. The partial correlations and the zero-order correlations were significant, suggesting age had little influence in controlling for the relationships. Conclusions: Conversational language samples complement norm-referenced tests well. Results support further exploration of the relationships among LSA measures obtained from conversational samples and the results of standardized language testing.

영문초록

Purpose: Research demonstrates that many speech-language pathologists (SLPs) do not routinely include language sample analysis (LSA) in their clinical practice because LSA has limited recognition as a valid assessment measure. Limited research suggests that some LSA values obtained from narrative samples correlate with the results of standardized language tests. This research examined the relationship among values obtained from conversational language samples and the results of standardized testing. Methods: This study investigated whether LSA values obtained from conversational language samples shared a relationship with the results of standardized language testing. A total of 16 children ages 43–90 months (M=61.5 months) completed three subtests of a standardized language test and a 15-minute conversational language sample. Fifty-utterance language samples were analyzed for four LSA values including mean length of utterance (MLUs), total number of words (TNW), clauses per sentence (CPS) and words per sentence (WPS). Results: Results revealed that three of the four LSA values (MLUs, TNW, and WPS) demonstrated statistically significant (ps<.006) strong correlations (rs>.65) with the results of norm-referenced language testing. The partial correlations and the zero-order correlations were significant, suggesting age had little influence in controlling for the relationships. Conclusions: Conversational language samples complement norm-referenced tests well. Results support further exploration of the relationships among LSA measures obtained from conversational samples and the results of standardized language testing.

목차

INTRODUCTION
METHODS
RESULTS
DISCUSSION

구매하기 (3,000)