RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      교육적 변화의 실험ㆍ통계적 분석방법에 관한 논의 = A Discussion on the Experimental and Statistical Methods for The Analysis of Educational Chage

      한글로보기

      https://www.riss.kr/link?id=A3004291

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Some methodological alternatives for the analysis of educational change, specifically for eliminating the influence of pre-treatment differences on post test scores were disussed.
      Experimental design consider action comparing past-test scores with assuming independent and equivalent samples, analysis model of difference scores comparing scores of subtraction of a pre-test score from each post-test score, analysis model of residual gain scores comparing scores of deviation of the post score from the post -test/pre- test regression line, repeated measures analysis of variance model including the pre- treatment differences as one dimension of analysis, and analysis of covariance model using the pre-test differences as a covariate can be used for the analysis of educational change.
      But there are problems such as the difficulty of true randomization including independent and equivalent sampling in the experimental design consideration in educational settings, such as the risk of being primarily composed of error variance in the statistics for the statistical analysis in the perspective of measurement theory. Also, there are problems that the measurement and meaurement level of education variables are not suited well to the general as sumptions of statistical models.
      Therefore, of course, above- mentioned methods for the analysis of educational change can be used, but the interpretation of those analysis results must be done in the context of their limitations.
      번역하기

      Some methodological alternatives for the analysis of educational change, specifically for eliminating the influence of pre-treatment differences on post test scores were disussed. Experimental design consider action comparing past-test scores with as...

      Some methodological alternatives for the analysis of educational change, specifically for eliminating the influence of pre-treatment differences on post test scores were disussed.
      Experimental design consider action comparing past-test scores with assuming independent and equivalent samples, analysis model of difference scores comparing scores of subtraction of a pre-test score from each post-test score, analysis model of residual gain scores comparing scores of deviation of the post score from the post -test/pre- test regression line, repeated measures analysis of variance model including the pre- treatment differences as one dimension of analysis, and analysis of covariance model using the pre-test differences as a covariate can be used for the analysis of educational change.
      But there are problems such as the difficulty of true randomization including independent and equivalent sampling in the experimental design consideration in educational settings, such as the risk of being primarily composed of error variance in the statistics for the statistical analysis in the perspective of measurement theory. Also, there are problems that the measurement and meaurement level of education variables are not suited well to the general as sumptions of statistical models.
      Therefore, of course, above- mentioned methods for the analysis of educational change can be used, but the interpretation of those analysis results must be done in the context of their limitations.

      더보기

      목차 (Table of Contents)

      • Ⅰ.문제의 진술
      • Ⅱ.변화 분석모형과 그 논의
      • 1.실험설계적 고려
      • 2.차이점수에 의한 분석
      • 3.잔여획득점수에 의한 분석
      • Ⅰ.문제의 진술
      • Ⅱ.변화 분석모형과 그 논의
      • 1.실험설계적 고려
      • 2.차이점수에 의한 분석
      • 3.잔여획득점수에 의한 분석
      • 4.반복측정의 변량분석
      • 5.공변량분석
      • Ⅲ.맺는말
      더보기

      동일학술지(권/호) 다른 논문

      동일학술지 더보기

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼