References
- 교수학습개발센터 (2014). 교원전문성. 서울: 한국교육과정평가원.
- 교육과학기술부 (2013). 내실 있는 운영을 위한 2013년 교원능력개발평가제 개선 방안.
- 김경선.이규민.강승혜 (2010). 일반화가능도 이론을 적용한 한국어 말하기 성취도 평가의 신뢰도와 오차요인 분석. 한국어 교육, 21(4), 51-75.
- 김도연.허종관 (2002). 일반화가능도이론을 적용한 주관적 배구기능검사의 신뢰도 추정. 한국체육측정평가학회지, 4(2), 15-28.
- 김보라.이규민 (2012). 일반화가능도 이론을 적용한 초등학교 쓰기 수행평가의 총체적 채점과 분석적 채점 방식 비교. 교육학연구, 50(4), 49-76.
- 김성숙 (1989a). 일반화가능도 이론을 이용한 교사행위 관찰에 있어서 오차원 분석. 교육평가연구, 3(1), 211-219.
- 김성숙 (1992). 관찰체계에 있어 측정의 변동요인 분석-관찰자 합치도, 안정도, 일반화가능도 비교. 교육평가연구, 5(1), 37-56.
- 김성숙 (2001). 일반화가능도이론. 서울: 교육과학사.
- 김성숙 (2006). e-learning 강의평가 도구의 일반화가능도와 평가활용의 최적화 조건. 교육평가연구, 19(1), 305-322.
- 김성연 (2014a). 미국의 수업관찰평가 분석을 통한 우리나라 교원능력개발평가에서의 다변량 일반화가능도 이론 활용성 탐색. 한국교육, 41(1), 5-29.
- 김성연 (2014b). 미국 테네시 주 벤더빌트대학교 영재교육센터 프로그램이 우리나라 영재교육에 주는 시사점 탐색. 영재교육연구, 24(2), 217-243.
- 김성연.한기순 (2013). 관찰.추천제에 의한 수학영재 선발 시 사용되는 교사추천서와 자기소개서 평가에 대한 다변량 일반화가능도 이론의 활용. 영재교육연구, 23(5), 671-698.
- 김성연.한기순 (2014). 수학영재 선발에서 교사추천서와 자기소개서 채점내용 가중치에 따른 신뢰도 분석. 영재와 영재교육, 13(1), 43-65.
- 김성찬.김성연.한기순 (2012). 관찰.추천에 의한 수학영재 선발 시 사용되는 교사추천서와 자기소개서 평가에 대한 일반화가능도 이론의 활용. 한국수학교육학회 시리즈 E <수학교육 논문집>, 26(3), 251-271.
- 김현철 (2003). 일반화가능도 이론에 대한 대학평가의 신뢰도 추정과 효율적인 평가설계의 탐색. 교육학연구, 41(4), 49-70.
- 이규민.황경현 (2007). 초등학교 과학과 수행평가의 총체적 채점과 분석적 채점 방식에 대한 일반화가능도 분석. 아동교육, 16(4), 169-184.
- 이대현.최승현 (2006). 수학과 좋은 수업 사례에 대한 질적분석. 한국학교수학회논문집, 9(3), 249-263.
- 이향 (2012). 말하기 수행 평가에서 발음 범주 채점의 최적화 방안 연구-일반화가능도 이론을 활용하여. 한국어교육, 23(2), 301-329.
- 임형.김성숙 (2005). 임상수행능력평가의 오차요인 탐색과 신뢰도 연구. 교육평가연구, 18(1), 27-46.
- 이현숙 (2012). 혼합형 검사의 문항 유형별 가중치에 따른 신뢰도 및 다변량 일반화가능도 분석. 교육평가연구, 25(1), 95-116.
- 임찬빈.이화진.곽영순.강대현.박영석 (2004). 수업평가 기준 개발 연구(1): 일반 기준 및 교과(사회, 과학, 영어). 서울: 한국교육과정평가원.
- 조재윤 (2009). 일반화가능도 이론을 이용한 쓰기 평가의 오차원 분석 및 신뢰도 추정 연구. 국어교육, 128, 325-357.
- 최대현 (2014). 교원평가.근평.성과금 일원화 물밑작업-교육부, 67개 시범학교에서 3개 평가 지표 조정 적용키로. 교육희망, http://news.eduhope.net/sub_read.html?uid=15896
- 최승현.임찬빈 (2006). 수업평가 매뉴얼-수학과 수업평가 기준. 서울: 한국교육과정평가원.
- 최숙기 (2012). 국어과 수행 평가의 평가자 신뢰도 보고 방안 탐색-고등학생 요약문 평가 결과를 중심으로. 작문연구, 14, 395-424.
- 한혜정 (2012). 미국 뉴욕 주 교원임용 중등 교수역량 지필평가가 우리나라 교원임용시험에 주는 시사점 탐색. 한국교육, 39(2), 129-155
- Boston, M. (2012). Assessing instructional quality in mathematics. The Elementary School Journal, 113(1), 76-104. https://doi.org/10.1086/666387
- Brennan, R. L. (2001). Generalizability Theory. New York: Springer-Verlag.
- Brennan, R. L. (1991). Manual for mGENOVA. A computer program for computing variance-covariance component. Iowa City, IA: Iowa Testing Program, University of Iowa.
- Choi, Sungsook Kim. (1989b). An analysis of sources of variation in teacher behaviors using generalizability thoery. Doctoral dissertation. University of Virginia, Charlottesville, VA.
- Cobb, P., & Jackson, K. (2011). Towards an empirically grounded theory of action for improving the quality of mathematics teaching at scale. Mathematics Teacher Education and Development, 13(1), 6-33.
- Colorado Department of Education. (2012). 191 into action. Retrieved from http://www.coloradoea.org/
- Crick, J. E., & Brennan, R. L. (1983). Manual for GENOVA: A GENeralized Analysis Of VAriance System, ACT Technical Bulletin, 43, The American College Testing Program.
- Cronbach, L. J., Gleser, G.C., Nanda, H., & Rajaratnam, N. (1972). The dependability of behavioral measurements: theory of generalizability for scores and profiles. New York: Wiley.
- Cronbach, L. J., Linn, R. L., Brennan, R. L., & Haertel, E. H. (1997). Generalizability analysis for performance assessments of student achievement or school effectiveness. Educational and Psychological Measurement, 57(3), 373-399. https://doi.org/10.1177/0013164497057003001
- Danielson, C. (1996). Enhancing professional practice: A framework for teaching. Alexandria, Virginia: Association for Supervision and Curriculum Development.
- Dunbar, S. B., Koretz, D. M., & Hoover, H. D. (1991). Quality control in the development and use of performance assessments. Applied measurement in education, 4(4), 289-303. https://doi.org/10.1207/s15324818ame0404_3
- Eckert, J. M., & Dabrowski, J. (2010). Should value-added measures be used for performance pay?. Phi Delta Kappan, 91(8), 88-92.
- Glaser-Zikuda, M., & FuB, S. (2008). Impact of teacher competencies on student emotions: A multi-method approach. International Journal of Educational Research, 47(2), 136-147. https://doi.org/10.1016/j.ijer.2007.11.013
- Hattie, J. (2003). New Zealand education snapshot: with specific reference to the Yrs 1-13 years. Knowledge Wave Trust.
- Hiebert, J., & Grouws, D. A. (2007). The effects of claBroom mathematics teaching on students' learning. Second Handbook of Research on Mathematics Teaching and Learning, 1, 371-404.
- Hill, H. C., Blunk, M. L., Charalambous, C. Y., Lewis, J. M., Phelps, G. C., Sleep, L., & Ball, D. L. (2008). Mathematical knowledge for teaching and the mathematical quality of instruction: An exploratory study. Cognition and Instruction, 26(4), 430-511. https://doi.org/10.1080/07370000802177235
- Hill, H. C., Charalambous, C. Y., & Kraft, M. A. (2012). When rater reliability is not enough: teacher observation systems and a case for the generalizability study. Educational Researcher, 41(2), 56-64. https://doi.org/10.3102/0013189X12437203
- Hill, H. C., Schilling, S. G., & Ball, D. L. (2004). Developing measures of teachers' mathematics knowledge for teaching. The Elementary School Journal, 105(1), 11-30. https://doi.org/10.1086/428763
- Ho, A. D., & Kane, T. J. (2013). The reliability of claBroom observations by school personnel. research paper. MET Project. Bill & Melinda Gates Foundation.
- Jackson, K., Garrison, A., Wilson, J., Gibbons, L., & Shahan, E. (2013). Exploring relationships between setting up complex tasks and opportunities to learn in concluding whole-class discussions in middle-grades mathematics instruction. Journal for Research in Mathematics Education, 44(4), 646-682. https://doi.org/10.5951/jresematheduc.44.4.0646
- Jacobs, H. (2010). Race to the top. EMBO reports, 11(2), 73-73. https://doi.org/10.1038/embor.2009.280
- Kane, T. J., McCaffrey, D. F., Miller, T., & Staiger, D. O. (2013). Have we identified effective teachers? validating measures of effective teaching using random assignment. Research Paper. MET Project. Bill & Melinda Gates Foundation.
- Kane, T. J., & Staiger, D. O. (2012). Gathering feedback for teachers: combining high-quality observations with student surveys and achievement gains. MET Project. Bill & Melinda Gates Foundation.
- Kennedy, M. M. (2010). Attribution error and the quest for teacher quality. Educational Researcher, 39(8), 591-598. https://doi.org/10.3102/0013189X10390804
- Kyriakides, L., & Creemers, B. P. (2008). A longitudinal study on the stability over time of school and teacher effects on student outcomes. Oxford Review of Education, 34(5), 521-545. https://doi.org/10.1080/03054980701782064
- Learning Mathematics for Teaching Project. (2011). Measuring the mathematical quality of instruction. Journal of Mathematics Teacher Education, 14, 25-47. https://doi.org/10.1007/s10857-010-9140-1
- Li, D., & Brennan, R. (2007). A multi-group generalizability analysis of a large-scale reading comprehension test. In annual meeting of the National Council on Measurement in Education. Chicago, IL.
- Louisiana Act 54. (2010). Louisiana Departmemt of Education. Retrieved from http://www.louisianabelieves.com
- Matsumura, L. C., Slater, S. C., Junker, B., Peterson, M., Boston, M., Steele, M., & Resnick, L. (2006). Measuring reading comprehension and mathematics instruction in urban middle schools: A pilot study of the instructional quality assessment. CSE Technical Report 681.
- Matsumura, L. C., Garnier, H. E., Slater, S. C., & Boston, M. D. (2008). Toward measuring instructional interactions "at-scale". Educational Assessment, 13(4), 267-300. https://doi.org/10.1080/10627190802602541
- Measures of Effective Teaching. (2009). Measures of effective teaching. Retrieved from www.metproject.org
- Middle-school Mathematics and the Institutional Setting of Teaching Project. (2007). MIST Project. Retrieved from http://peabody.vanderbilt.edu/departments/tl/teaching_and_learning_research/mist/index.php
- Munter, C., & Correnti, R. (2011). Developing visions of high-quality mathematics instruction. Paper presented at the National Council of Teachers of Mathematics.
- National Council of Teachers of Mathematics. (1991, 1993). Principles and standards for school mathematics. Reston, VA: Author.
- National Center for Teacher Effectiveness. (2011). Online poll of states engaged in reform of teacher evaluation system. Cambridge, MA: Authors.
- NuBbaum, A. (1984). Multivariate generalizability theory in educational measurement: An empirical study. Applied Psychological Measurement, 8(2), 219-230. https://doi.org/10.1177/014662168400800211
- Nye, B., Konstantopoulos, S., & Hedges, L. V. (2004). How large are teacher effects?. Educational evaluation and policy analysis, 26(3), 237-257. https://doi.org/10.3102/01623737026003237
- Rockoff, J. E. (2004). The impact of individual teachers on student achievement: Evidence from panel data. American Economic Review, 94(2), 247-252. https://doi.org/10.1257/0002828041302244
- Rowan, B., Correnti, R., & Miller, R. (2002). What large-scale survey research tells us about teacher effects on student achievement: insights from the prospects study of elementary schools. The Teachers College Record, 104(8), 1525-1567. https://doi.org/10.1111/1467-9620.00212
- Scheerens, J., & Bosker, R. J. (1997). The foundations of educational effectiveness. Oxford, UK: Pergamon.
- Shavelson, R. J., Baxter, G. P., & Gao, X. (1993). Sampling variability of performance assessments. Journal of Educational Measurement, 30(3), 215-232. https://doi.org/10.1111/j.1745-3984.1993.tb00424.x
- Teddlie, C., & Reynolds, D. (Eds.). (2000). The international handbook of school effectiveness research. London: Falmer Press.
- Tennessee Department of Education. (2014). Tennessee Educator Acceleration Model. Retrieved from team-tn.org
- Webb, N. M., Shavelson, R. J., & Maddahian, E. (1983). Multivariate generalizability theory. In L. J. Pyans, Jr.(Ed.), Genrealizability theory: Inferences and practical applications (pp67-81). San Francisco, CA:Jossey-Bass
- Weisberg, D., Sexton, S., Mulhern, J., Keeling, D., Schunck, J., Palcisco, A., & Morgan, K. (2009). The widget effect: Our national failure to acknowledge and act on differences in teacher effectiveness. New Teacher Project.
Cited by
- 수학적 창의성 검사의 채점 영역별 가중치 분석 vol.55, pp.2, 2014, https://doi.org/10.7468/mathedu.2016.55.2.147