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題名:研究生評鑑教師教學的結果真的可以與大學生一起比較嗎?多群組混合MIMIC-DIF分析
書刊名:測驗學刊
作者:曾明基邱皓政 引用關係
作者(外文):Tseng, Ming-chiChiou, Haw-jeng
出版日期:2015
卷期:62:1
頁次:頁1-23
主題關鍵詞:多群組混合MIMIC-DIF學生評鑑教師教學Multi-group mixture MIMIC-DIFStudent ratings of instruction
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  • 被引用次數被引用次數:期刊(4) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:3
  • 共同引用共同引用:43
  • 點閱點閱:84
本研究主要探討研究生在「學生評鑑教師教學量表」的結果是否可以與大學生 一起比較。研究對象為東部某大學大學部以及研究所的學生,總樣本數為6,958 人,其中大學生為6,604人,研究生為354 人。 研究結果顯示,東部某大學的「學生評鑑教師教學量表」確實在研究生以及大 學生之間存在DIF現象:無論是外顯組別比較,或是學生的潛在異質差異比較,以 及進一步在多群組架構下考慮學生的潛在異質差異,皆顯示「學生評鑑教師教學量 表」存在DIF。 當學生評鑑教師教學同時採計研究生以及大學生的分數時,將產生評鑑不公平 的結果,因在研究所開課數較多的老師較容易通過評鑑。針對上述結果,本研究對 學生評鑑教師教學提出相關的建議。
The purpose of this study was to investigate graduate student in SRI can really compare with the university student. The total number of samples was 6,958 students in a university on the east coast of Taiwan. The results show that between graduate student and university student in SRI, the item have DIF. Whether explicit comparison groups, or student’s potential heterogeneity differ and further considered in the framework of multi-group heterogeneity of student potential differences in student ratings are displayed scale exist DIF. It will produce unfair results evaluation, at the Institute commenced a few more easier through teacher evaluation. Based on the results from this study, the recommendations for university teaching and student ratings of instruction are made.
期刊論文
1.Rost, J.(1990)。Rasch Models in Latent Classes: An Integration of Two Approaches to Item Analysis。Applied Psychological Measurement,14(3),271-282。  new window
2.Chang, T.(2001)。Student ratings: What teachers college students telling us about them?。Journal of Jinan University,5(2),169-192。  new window
3.曾明基、邱皓政、張德勝、羅寶鳳(20130300)。以學生評鑑教師教學量表決定教師的開課或去留可行嗎?混合IRT分析取向。教育科學研究期刊,58(1),91-116。new window  延伸查詢new window
4.Asparouhov, T.、Muthen, B.(2006)。Robust Chi Square Difference Testing with mean and variance adjusted test statistics。Mplus Web Notes,10。  new window
5.Asparouhov, T.、Muthen, B.(2012)。Auxiliary variables in mixture modeling: A 3-step approach using Mplus。Mplus Web Notes,15。  new window
6.Bakk, Z.、Tekle, F.、Vermunt, J. K.(2013)。Estimating the association between latent class membership and external variables using bias adjusted three-step approaches。Sociological Methodology,43(1),272-311。  new window
7.Cho, S. J.、Cohen, A. S.(2010)。A Multilevel Mixture IRT Model With an Application to DIF。Journal of Educational and Behavioral Statistics,35(3),336-370。  new window
8.De Ayala, R. J.、Kim, S. H.、Stapleton, L. M.、Dayton, C. M.(2002)。Differential item functioning: A mixture distribution conceptualization。International Journal of Testing,2,243-276。  new window
9.Vermunt, J. K.(2010)。Latent class modeling with covariates: Two improved three-step approaches。Political Analysis,18(4),450-469。  new window
10.Wang, W.-C.、Shih, C.-L.、Sun, G.-W.(2012)。The DIF-free-then-DIF strategy for the assessment of differential item functioning。Educational and Psychological Measurement,72(4),687-708。  new window
11.曹嘉秀、魏孟雪(20030600)。影響學生評鑑教學之背景因素探討。測驗學刊,50(1),143-161。new window  延伸查詢new window
12.Bolt, D. M.、Cohen, A. S.、Wollack, J. A.(2001)。A mixture item response model for multiple-choice data。Journal of Educational and Behavioral Statistics,26,381-409。  new window
13.Lo, Y.、Mendell, N. R.、Rubin, D. B.(2001)。Testing the number of components in a normal mixture。Biometrika,88(3),767-778。  new window
14.黃毅志、巫有鎰(20030600)。影響教學評鑑得分因素之探討--以臺東師院為例。臺東師院學報,14(上),347-370。new window  延伸查詢new window
15.曾明基、邱于真、張德勝、羅寶鳳(20110700)。學生認知歷程對學生評鑑教師教學的影響:階層線性模式分析。課程與教學,14(3),157-179。new window  延伸查詢new window
16.黃瓊蓉(20041200)。Student Evaluation of Teaching Effectiveness: A Bierarchical Linear Model。測驗學刊,51(2),163-184。new window  new window
17.Celeux, G.、Soromenho, G.(1996)。An entropy criterion for assessing the number of clusters in a mixture model。Journal of Classification,13(2),195-212。  new window
18.Lubke, G.、Muthén, B. O.(2007)。Performance of factor mixture models as a function of model size, covariate effects, and class-specific parameters。Structural Equation Modeling: A Multidisciplinary Journal,14(1),26-47。  new window
19.Nylund, Karen L.、Asparouhov, Tihomir、Muthén, Bengt O.(2007)。Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study。Structural Equation Modeling: A Multidisciplinary Journal,14(4),535-569。  new window
學位論文
1.Bilir, M. K.(2009)。Mixture item response theory-mimic model: Simultaneous estimation of differential item functioning for manifest groups and latent classes(博士論文)。Florida State University,Tallahassee, FL。  new window
2.Samuelsen, K.(2005)。Examining differential item functioning from a latent class perspective(博士論文)。University of Maryland,College Park, MD。  new window
3.Clark, S. L.(2010)。Mixture modeling with behavioral data(博士論文)。University of California。  new window
圖書
1.Fruhwirth-Schnatter, S.(2006)。Finite mixture and markov switching models。New York, NY:Springer。  new window
2.Peel, David、McLachlan, Geoffrey J.(2000)。Finite Mixture Models。New York, NY:John Wiley & Sons Inc.。  new window
3.Muthén, L. K.、Muthén, B. O.(2006)。Mplus user's guide。Los Angeles, CA:Muthén & Muthén。  new window
4.Centra, John A.(1993)。Reflective faculty evaluation: Enhancing teaching faculty and determining faculty effectiveness。San Francisco:Jossey-Bass Publishers。  new window
單篇論文
1.Clark, S. L.,Muthén, B.,Kaprio, J.,D’Onofrio, B. M.,Viken, R.,Rose, R. J.,Smalley, S. L.(2009)。Models and strategies for factor mixture analysis: Two examples concerning the structure underlying psychological disorders。  new window
圖書論文
1.Samuelsen, K. M.(2008)。Examining differential item functioning from a latent mixture perspective。Advances in latent variable mixture models。Charlotte, NC:Information Age Publishing。  new window
2.Muthén, B.(1993)。Goodness of fit with categorical and other non-normal variables。Testing structural equation models。Newbury Park, CA:Sage。  new window
3.Muthén, B. O.(2008)。Latent variable hybrids: Overview of old and new models。Advances in latent variable mixture models。Information Age Publishing, Inc.。  new window
 
 
 
 
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