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題名:以多向度Rasch模式編製高中體育教師評鑑量表
作者:周嵩益 引用關係
作者(外文):Sung-I Chou
校院名稱:國立體育大學
系所名稱:體育研究所
指導教授:周宏室
姚漢禱
學位類別:博士
出版日期:2014
主題關鍵詞:教師評鑑Rasch分析高中體育教師teacher evaluationRasch analysissenior high school physical education teacher
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摘要
本研究的目的在使用多向度Rasch 模式編製高中體育教師評鑑量表,採用文獻分析及問卷調查兩種方式。先依文獻分析結果,以自編高中體育教師評鑑問卷為調查工具,透過專家群針對評鑑規準的適切性修正問卷,研究對象包含預試樣本173位高中體育教師,正式樣本303位高中體育教師。以Rasch 模式進行資料分析,篩選題目,並將原始分數轉為具有等距特性的量尺分數。結果顯出,本量表具有頗高的受試者信度(.98),良好的模式-資料適配度,所有題目在公私立高中體育教師上,並無明顯的差異試題功能。最後本研究針對體育教師評鑑工具的發展提出未來研究之建議。
Abstract
This study aimed at using multidimensional Rasch analysis to validate the senior high school Physical Education Teacher Evaluation Questionnaire. Participants were 173 and 303 P.E. teachers respectively for item revision and validation. Rasch analysis was used to analyze test data, screen poor items, and estabilish interval scales. The resulting the senior high school Physical Education Teacher Evaluation Scales demonstrated good person reliability (.98), model-data fit. All items had no statistically significant differential functioning between senior high school physical education teachers (public and private school). Suggestions for future research on developing instructment of P.E. teacher were proposed.
參考文獻

王文中(1996)。幾個有關Rasch測量模式的爭議。教育與心理研究,19,1-26。new window
王文中(2004)。Rasch測量理論與其在教育和心理之應用。教育與心理研究學刊,27(4),637-694。new window
王文中(2011)。量表的發展。線上檢索日期:2011年9月20日。取自:http://www.docin.com/p-12020793.html/
王文中、陳雪珠(1999)。教學觀點量表之發展與試題分析。應 用心理研究,2,181-207。new window
王文中、鄭英耀(2000)。創造力發展量表之編製與試題反應分 析。中國測驗學會測驗年刊,47(1),153-173。
王立行、饒見維(1992)。教育專業化與教育實習的實施。中國教育學會主編。教育專業。台北市:師大書苑。
王佳琪(2010)。以Rasch模式檢驗中文版多向度幽默感量表之信效度(未出版碩士論文)。國立中山大學,高雄。
王敏嫻、曾筱倩、郭伯臣、吳慧珉(2010)。多向度試題反應理論之可能值方法對大型測驗中群體平均數估計之影響-以TASA2006數學科為例。測驗統計年刊,18,47-68。
甘士照(2006)。以Rasch模式探討老人福利機構評鑑指標與制度(未出版碩士論文)。私立南華大學,嘉義。
江文雄(1998)。校長評鑑可行性探討。教師天地,96,10-18。
余民寧(2009)。試題反應理論(IRT)及其應用。台北:心理。
吳明清(2002)。促進教師專業發展的策略。理論與政策,91 (3),99-114.new window
吳政達(1999)。國民小學教師評鑑指標體系建構之研究—模糊德菲術、模糊層級分析法與模糊綜合評估法之應用(未出版博士論文)。國立政治大學,台北。new window
吳清山(1994)。學校效能研究。台北:五南圖書。new window
呂錘卿、林生傳(2001)。國民小學教師專業成長指標及現況之研究。教育學刊,19,45-64。new window
周宏室(2005)。運動教育學。台北:師大書苑。
周嵩益、周宏室(2008,5月)。動作教育模式在九年一貫體育教學之探討-以Rasch分析評估兒童立定跳遠動作發展。論文發表於2008體育專業發展與運動休閒趨勢研討會。台中:台中技術學院。
周嵩益、劉兆達(2012)。立定跳遠發展階段觀察檢核表之多層面Rasch評分量尺模式分析。體育學報,45(2),39-346。new window
周嵩益、歐陽金樹(2005)。使用Rasch二分模式來編製國小運動技能測驗給分量表,體育學報,38(3),99-97。new window
周嵩益、歐陽金樹(2005)。使用試題反應理論來估計消費者的產品知識,體育學報,38(3),99-108。new window
周業太(2003)。利用殘差主成分分析評估試題反應理論之模式-資料配適度 (未出版碩士論文)。國立中正大學,嘉義縣。
林偉人(2010)。師資培育政策的反思:一個現場工作者的觀察。臺灣師資培育電子報,9。2014年3月12日,取自https://tted.cher.ntnu.edu.tw/?p=297
邱維誠(2002)。台灣師資培育制度丕變-教師資格檢定新時代來臨。教育研究月刊,103,5-10。
姚漢禱(1999)。編製運動教練評鑑量表。國科會專題研究計畫成果報告(編號:NSC88-2413-H-179-001)。台北:中華民國行政院國家科學委員會。new window
姚漢禱(2001)。多向度試題反應理論分析運動教練評鑑量表。國科會專題研究計畫成果報告(編號:NSC89-2413-H-179-014)。台北:中華民國行政院國家科學委員會。new window
姚漢禱(2002)。體育測驗與評量。台北:師大書苑。
姚漢禱(2005)。應用多層面Rasch模式分析雙不定向飛靶優秀選手的射擊技術。國科會專題研究計畫成果報告(編號:NSC 89-2413-H-179-001)。台北:中華民國行政院國家科學委員會。
姚漢禱、紀世清、周嵩益、姚偉哲(2008)。修訂立定跳遠發展階段觀察檢核表。國立臺灣體育大學論叢,19(1),35-48。new window
施慶麟(2008)。題組與多向度電腦適性測驗之選題策略的比較(未出版博士論文)。嘉義縣:國立中正大學。new window
孫志麟(2002)。專業發展學校:理念、實務與啟示。國立臺北師範學院學報,15,557-584。
徐美惠(1996)。中等學校學習教師評鑑量表之發展研究(未出版碩士論文)。台北縣:淡江大學。
秦夢群(1995)。教育行政-實務部分。台北:五南圖書。
翁銘宏(2004)。以平衡計分卡建構高職教師評鑑指標(未出版碩士論文)。長榮大學,台南市。
張美玉、羅美惠(2000)。國小實習教師歷程檔案評量工具發展之研究。科學教育學刊,8 (3),225-249。new window
張德銳(1997)。美國師資培育評鑑制度及其對我國之啟示。載於陳漢強(主編),大學評鑑(423-476頁)。台北市:五南。new window
張德銳(2000)。師資培育與教師評鑑。台北:師大書苑。new window
張德銳(2004,9月)。專業發展導向教師評鑑與教學導師制度芻議。師友月刊,447(9),6-11。
張德銳(2007)。教學專業標準與教學評鑑。教師天地,151,4-10。
教育部(2004)。普通高級中學課程暫行綱要總綱。台北市。
教育部(2005)。教育改革行動方案。線上檢索日期:2005年5月28日。取自http://www.edu.tw/EDU_WEB/EDU_MGT/ E0001/EDUION001/menu03/sub02/03020201.htm?TYPE=1&UNITID=3&CATEGORYID=9&FILEID=73874
教育部(2008)。普通高級中學必修科目體育課程綱要。台北市。
許義雄(1998)。體育教師專業發展。運動教育與人文關懷(下) (245-254頁)。台北:師大書苑。new window
陳柏熹(2001)。選題限制與曝光率控制對多向度電腦化適性測驗之測量精確度與試題曝光率的影響(未出版博士論文)。國立中正大學,嘉義縣。new window
陳柏熹(2006)。探討能力估計方法對多向度電腦化適性測驗測量精準度影響。教育心理學報,38(2),195-211。new window
陳柏熹、王文中(1999)。生活品質量表的編製。測驗統計年刊,46,57-74。
彭森明(2002)。師資培育的政策與檢討。台北:學富。
程瑞福(2002)。國民中學體育教師評鑑指標之建構(未出版博士論文)。國立臺灣師範大學,台北市。new window
程瑞福(2004)。臺灣地區體育教師專業評鑑指標建構之研究。大專體育學刊,6(2),31-42。new window
馮莉雅(2001)。國中教師教學效能評鑑之研究(未出版博士論文)。國立高雄師範大學,高雄市。new window
黃木蘭(2004)。為教師專業地位正名。師友月刊,447(9),24-27。
黃政傑(2004)。建立教師專業評鑑制度。師友月刊,447(9),12-16。
黃炳煌(1997)。大學自主與大學評鑑。台北:五南圖書。
黃炳煌(2002)。剖析教師檢定制度。師友月刊,103,11-17。
黃淑汶(2009)。教師教學評鑑指標建構之研究(未出版碩士論文)。國立台中教育大學:台中市。
劉兆達(2001)。高中校長對體育教師專業表現之評鑑(未出版碩士論文)。國立臺灣師範大學,台北市。
劉兆達(2005)。美國國家教學專業標準董事會(NBPTS)之標準對體育教師專業評鑑指標之啟示。國立體育學院論叢,16(3),61-74。new window
劉兆達(2008)。體育教師評鑑指標之介紹—以美國體育運動協會(NASPE)為例。學校體育,107,85-91。
劉曉芬(2001)。我國大學教師資格審查制度之研究(未出版博士論文)。國立政治大學,台北市。new window
歐用生(1996)。教師專業成長。台北:師大書苑。
歐用生(2003,12月)。重建師資培育的典範-新世紀教師的核心能力。2003我國國小師資培育的回顧與前瞻研討會,臺中市,國立台中教育大學。
歐陽教、張德銳(1993)。教師評鑑模式之研究。教育研究資訊,1(2),90-100。new window
歐陽教、張德銳(1993)。教師評鑑模式之研究。教育研究資訊,1(2),90-100。new window
潘財俤(2003)。應用模糊多準則決策於公立高職教師評鑑之研究(未出版碩士論文)。國立海洋大學,基隆市。
錢才瑋、甘士照、王文中、鄭讚源(2007)。利用Rasch測量分析2004年台灣老人福利機構評鑑指標。醫院,40(2),1-17。
謝文全(1989)。教育行政-理論與實務。台北:文景。
謝佳穎(2009)。多向度試題反應理論用於次級量尺分數估計之模擬研究(未出版碩士論文)。國立台中教育大學,台中市。
謝寶梅(2007)。試辦教師專業發展評鑑人員初階研習手冊(頁4-13)。彰化:彰化縣政府。
羅清水(1999)。教師專業發展的另一途徑-談教師評鑑制度的建立。研習資訊,6(1),1-10。
蘇秋永(1996)。高中教師評鑑之研究─高中教師自我評鑑量表之發展(未出版碩士論文)。私立淡江大學,台北。
鐘享龍(2004)。從參訪交流談教師專業評鑑制度。師友月刊,447 (9),28-29。
饒見維(1996)。教師專業發展-理論與實務。台北:五南。
Adams, R. J., & Wilson, M. R. (1996). Formulating the Rasch model as a mixed coefficients multinomial logit. In G. Englhard & M. Wilson (Eds.), Objective measurement: Theory into practice (Vol. 3, pp.143–166). Norwood: Albex.
Adams, R., Wilson, M., & Wang, W. (1997). The multidimensionalrandom coefficients multinomiallogit model. Applied Psychological Measurement, 21(1), 1–23.
Adams, R.J., & Wu, M.J. (1997). Multi-level item response models: An approach to errors in variables regression. Journal of Educational and Behavioral Statistics, 22(1), 47–76.
American Educational Research Association, American PsychologicalAssociation, National Council for Measurement in Education. (1999). Standards for educational and psychological testing. Washington, DC: American Educational Research Association
Anderson, E.B. (1997). The Rating Scale Model. In W.J. van der Linden & R.K. Hambleton (Eds.), Handbook of modern item response theory (pp. 67-84). New York: Springer.
Andrich, D. (1978). A rating scale formulation for ordered response categories. Psychometrika, 43, 561–573.
Baghaei, P. (2008). The Rasch Model as a Construct
Validation Tool. Rasch Measurement Transactions, 22(1), 1145-1146.
Barnes, B. J., Chard, L. A., Wolfe, E. W., & Stassen, L. A. (2011). An Evaluation of the Psychometric Properties of the Graduate Advising Survey for Doctoral Students. International Journal of Doctoral Studies, 6, 1-17.
Bond, T.G., & Fox, C.M. (2007). Applying the Rasch model. Mahwah, NJ:Lawrence Erlbaum Associates.
Box, G., & Luceno, A. (1999). Quality quandaries: Six sigma, Process drift, capability indices, and feedback adjustment. Retrieved from: http://cqpi.engr.wisc.edu/system/files/r176.pdf.
Carmichael, C. S. (2010). The development of middle school children’s interest in statistical literacy (Unpublished doctoral thesis). University of Tasmania, Hobart, Australia.
Cheng, Y.-Y., Wang, W.-C., & Ho, Y.-H. (2009). MultidimensionalRasch analysis of a psychological test with multiple subtests: A statistical solution for the bandwidth-fidelity dilemma. Educational and Psychological Measurement, 69, 369–388.new window
Chien, T.-W., Hsu, S.-Y., Tai, C., Guo, H.-R., & Su, S.-B. (2008).Using Rasch analysis to validate the revised PSQI to assess sleep disorders in Taiwan’s hi-tech workers. Community Mental Health Journal, 44, 417–425.
Chou, S. I. & Yau, H. D. (2006, June). An Evaluation of the Assessing the Development Level of the Standing Long Jump Observation Checklist. Paper presented at the 2nd Pacific Rim Objective Measurement Symposium, New Territories, Hong Kong.
Chou, S. I. & Yau, H. D. (2007, July). Application of many-facet Rasch model to evaluate the Haywood’s (2005)“Assessing the Developmental Level of the Standing Long Jump Observation Checklist”. Paper presented at the Pacific Rim Objective Measurement Symposium, Taoyuan, Taiwan.
Cohen, A. S., Kim, S.-H., & Wollack, J. A. (1996). An investigatioof the likelihood ratio test for detection of differential item functioning. Applied Psychological Measurement, 20, 15–26.new window
Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bull., 52, 281-302
Curtis, D., & Boman, P. (2007). X-ray your data with Rasch. International Education Journal, 8(2), 249–259.
Duckor, B., Draney, K. & Wilson, M. (2009). Measuring Measuring: Toward a Theory of Proficiency with the Constructing Measures Framework. Journal of Applied Measurement, 10(3), 296–319.
Draney, K., Yamada, H., and Xie, Y. (2000). Cross-dimensional item bundling. Paper presented at the International Objective Measurement Workshop, New Oreleans, LA.
Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologist. Mahwah: Erlbaum.
Goodson, I. F., & Hargreaves, A. (1996). Teachers’ professional lives. London: Falmer Press.
Guilford, J.P. (1946). New standards for test evaluation. Educational and Psychological Measurement, 6, 427-439.new window
Haertel, E.H. (1997). Reliability. In R. Brennan (Ed.), Educational measurement (pp. 65-110). Westport, CT: Praeger Publishers.
Hargreaves, A. (2001). Learning to change. San Franciso: Jossey-Bass.
Hsueh. I.-P., Wang, W.-c., Sheu. C.-F., Hsieh. C.-L. (2004). Rasch analysis of combining two indices to assess comprehensive ADL function in stoke patients. Stroke, 35(3), 721-726.
Iwanicki, E. F. (1990). Teacher evaluation for school improvement.In Millman, J., & Darling-Hammond, L. (Eds.), The new handbook of teacher evaluation: Assessing elementary and secondary school teachers (pp.158-174). CA: Sage Publications.
John Chi-Kin Lee & Zhonghua Zhang & Hongbiao Yin (2010). Using multidimensional Rasch analysis to validate the Chinese version of the Motivated Strategies
for Learning Questionnaire (MSLQ-CV). European Journal of Psychology Education, 25, 141–155.
Kane, M.T. (2006). Validation. In R.L. Brennan (Ed.), Educationalmeasurement (pp. 17-64). Westport, CT: American Council on Education and Praeger Press.
Kelley T.L. (1927). Interpretation of educational measurements. Yonkers, NY, World Book Company.
Keeves, J., & Alagumalai, S. (1999). New approaches to measurement. In G. N. Masters & J.P. Keeves (Eds.), Advances in measurement in educational research and assessment (pp. 23-42). Oxford: Pergamon.
Kennedy, C. A. (2005). Constructing PADI measurement models for the BEAR scoring engine (PADI Technical Report 7). Menlo Park, CA: SRI, International.
Kennedy, C. A. & Draney, K. (2009). Mapping Multiple Dimensionsof Student Learning:The ConstructMap Program, Journal of Applied Measurement, 10(1), 1-16.
Linacre, J. (1994). Sampe size and item calibration stability. Rasch Measurement Transactions, 7(4), 328.
Linacre, J. (1998). Detecting multidimensionality: Which residualdata-type works best? Journal of Outcome Measurement, 2(3), 266–283.
Linacre, J. (1999). Investigating rating scale category utility. Journal of Outcome Measurement, 3(2), 103–122.
Linacre, J. M., & Wright, B. D. (2000). WINSTEPS: A Rasch computer program. Chicago: MESA Press.
Linacre, J. (2006). A user’s guide to Winsteps: Program manual. Chicago: Winsteps.com.
Linacre J.M. (2009). Unidimensional Models in a Multidimensional World, Rasch Measurement Transactions,23(2), 1209.
Lumpik, A. (1998). Physical education and sport: a contemporary introduction. Boston: McGraw-Hill.
Loup, K. S., Garland, J.S., Ellett, C. D., & Rugutt, J.K. (1996). Ten years later: Findings from a republication of a study of teacher evaluation pratices in our 100 largest school districts. Journal of Personnel Evaluation in Education, 10(3), 203-226.
Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47, 149–174.
McColskey, W. & Egelson, P. (1993). Designing teacher evaluation systems that support professional growth. Washington, DC: Office of Educational Research and Improvement.
Messick, S. (1989). Validity. In R. Linn (Ed.), Educational measurement, (3rd ed.). Washington, D.C.: American Council on Education
Messick, S. (1995). Validity of psychological assessment. American Psychologist, 50(9), 741–749.
Messick, S. (1996). Validity and washback in language testing. Language Testing, 13(3): 241-256.
Messick, S. (2008). The Rasch Model as a Construct Validation Tool, Rasch Measurement Transactions, 22(1), 115-1146.
Morrison, G.S. (1997). Teaching in America. Boston: Allyn and Bacon.
National Association for Sport & Physical Education (2007). Physical Education Teacher Evaluation tool. Retrieved November 11, 2011, from http://www.shapeamerica.o- rg/standards/guidelines/upload/Physical-Education-Teacher-Evaluation-Tool.docx
National Board for Professional Teaching Standards (1989). What Teachers Should Know and Be Able to Do. Retrieved November 9, 2013, from the World Wide Web: http://www.nbpts.org/sites/default/files/documents/certificates/what_teachers_should_know.pdf
National Board for Professional Teaching Standards (2001). NBPTS Physical Education STANDARDS (2nd printing). Retrieved April 9, 2014, from
http://www.nbpts.org/sites/default/files/documents/certificates/NB-Standards/PE_NB_Standards.pdf
National Commision on Excellence in Education (1983). A Nation at Risk: The imperative for educational reform. Washington, DC:U.S. Department of Education.
Netemeyer, R.G., Bearden, W.O., & Sharma, S. (2003). Scaling
procedures:Issues and applications. Thousand Oaks, CA:
SAGE Publishing.
Pesudovs, K., & Noble, B. A. (2005). Improving subjective scaling of pain using Rasch analysis. The Journal of Pain, 6, 630–636.
Pickard, A. (2007). Research methods in information. (pp.7) London: Facet Publishing.
Raiche, G. (2005). Critical eigenvalue sizes in standardized residual principal components analysis. Rasch Measurement Transactions, 19(1), 1012.
Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen: Danish Institute of Education Research.
Rogers, H. J., & Swaminathan, H. (1993). A comparison of the logistic regression and Mantel–Haenszel procedures for detecting differential item functioning. Applied Psychological Measurement, 17, 105–116.
Shinkfield, A. J., & Stuffebeam, D. (1995). Teacher evaluation: guide to effective practice. Boston: Kluwer Academic Publishers.
Smith, R. (1991). The distributional properties of Rasch item fit statistics. Educational and Psychological Measurement, 51 (3), 541–565.
Smith, E. (2001). Evidence for the reliability of measures and validity of measure interpretation: A Rasch measurement perspective. Journal of Applied Measurement, 2(3), 281–311.
Smith, R., & Miao, C. (1994). Assessing unidimensionality for Rasch measurement.In M. Wilson (Ed.), Objective measurement theory into practice. Greenwich:Ablex.
Spector, P. E. (1992). Summatted Rating Scale Construction. Sage University Paper Series On Quantitative Application in the Social Sciences, 7-82. Newbury Park, CA: Sage.
Stake, R. E. (1989). The evaluation of teaching, In H.Simons & Elliott (Eds.), Rethinking Appraisal and Assessment (pp.13-19). Bristol, PA: Open University Press.
State Board of Education (2005, October). Ohio standards for the teaching profession. Http://www.oagc.com/Documents/advocacy/OhioTeacherStandardsDraft12e_10_18_05_FINAL_without%20indicators.pdf
Swaminathan, H., & Rogers, H. J. (1990). Detecting differential item functioning using logistic regression procedures. Journal of Educational Measurement, 27, 361–370.
Thompson, B. (2004). Exploratory and confirmatory factor analysis. Washington,DC: American Psychological Association.
Volodin, N., & Adams, R. J. (1995, April). Identifying and estimating a D-dimensional Rasch model. Unplished manuscript, Australian Council for Educational Research, Camberwell, Victoria, Australia.
Wang, W.-C., Chen, P.-H., & Cheng, Y.-Y. (2004). Improving measurement precision of test batteries using multidimensional item response models. Psychological Methods, 9, 116–136.new window
Wang, W. -C. (2008). Assessment of differential item functioning. Journal of Applied Measurement, 9(4), 1-22.
Wang, W.-C., & Wilson, M. R. (2005). Assessment of differential item functioning in testlet-based items using the Rasch testlet model. Educational and Psychological Measurement, 65, 549–576.
Wang, W.-C., Yao, G., Tsai, Y.-J., Wang, J.-D., & Hsieh, C.-L. (2006). Validating, improving reliability, and estimating correlation of the four subscales in the WHOQOL-BREF using multidimensional Rasch analysis. Quality of Life Research, 15, 607–620.
Wilkerson, J., and Lang, W. S. (2006). Measuring Teaching Ability with the Rasch Model by Scaling a Series of Product and Performance Tasks. Journal of Applied Measurement, 7 (3), 239-259.
Wilson, M. (2005). Constructing Measures:An item response theory approach. Mahwah, NJ: Lawrence Eribaum.
Wilson, M., and Sloane, K. (2005). From principles to practices:A embedded assessment system. Applied measurement in Education, 13, 181-208.
Wise, A. E., & Leibbrand, J. (1993). Accreditation and the creation of a profession of teaching. Phi Delta Kappan, 7520. 133-136.
Wolfe, E., & Smith, E. (2007a). Instrument development tools and activities for measure validation using Rasch models: Part 1 – instrument development tools. Journal of Applied Measurement, 8(1), 97–123.
Wolfe, E., & Smith, E. (2007b). Instrument development tools and activities for measure validation using Rasch models: Part 2 – validation activities. Journal of Applied Measurement, 8(2), 204–234.
Wright, B.D. (1977). Solving measurement problems with the Rasch Model. Journal of Educational Measurement, 14, 97-116.
Wright, B. D. (2000). How to set standards. Rasch Measurement Transactions, 14(1), 740.
Wright, B.D. & Linacre, J.M. (1992). Combining and splitting categories. Rasch Measurement Transactions, 6, 3, 233-235.
Wright, B.D., & Masters, G.N. (1982). Rating scale analysis. Chicago: MESA Press.
Wright, B.D., & Panchapakesan, N. (1969). A procedure for sample-free item analysis. Educational and Psychological Measurement, 29, 23-48.
Wright, B. D., and Stone, M. H. (2004). Making Measures. Chicago: Phaneron Press.
Wright, B. D., Linacre, J. M., Gustafson, J. E., & Martin-Lof, P. (1994). Reasonable mean-square fit values. Rasch Measurement Transactions, 8, 370.
Wu, M. (2007). Conquest (2.0): Generalised item response modeling software. [Computer Software]. Melbourne: ACER.
Wu, M., Adams, R., Wilson, M., & Haldane, S. (1998). Conquest (2.0): Generalised item response modeling software. [Computer Software]. Melbourne:ACER.
Wu, M., & Adams, R. (2006). Modelling mathematics problem solving item responses using a multidimensional irt model. Mathematics Education Research Journal, 18 (2), 93–113.
Wu, M. & Adams, R. (2007). Applying the Rasch model to psycho-social measurement: A practical approach. Melbourne:Educational Measurement Solutions Press.
Yao, L., & Boughton, K. A. (2007). A multidimensional item response modeling approach for improving subscale proficiency estimation and classification. Applied Psychological Measurement, 31, 83–105.
Yao, L., & Schwarz, R. D. (2006). A multidimensional partial credit model with associated item and test statistics: An application to mixed-format test. Applied Psychological Measurement, 30, 469–492.new window

 
 
 
 
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