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題名：國中生學校學習與家庭關係困擾之群體異質性分析：以IRT Mixture Model
書刊名：教育心理學報
作者：王郁琮 引用關係／溫福星 引用關係
作者(外文)：Wang, Lawrence Yu-chung／Wen, Fur-hsing
出版日期：2012
卷期：44:1
頁次：頁185-205
主題關鍵詞：混合模式；異質性分析；國中生學校與家庭困擾；Behavioral disturban；Heterogeneity analysis；IRT mixture model
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(5) 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:2
  • 共同引用共同引用:13
  • 點閱點閱:100
本研究旨在利用試題反應理論混合模式（IRT Mixture Model），探討國中生家庭與學校生活適應因素結構，並藉由潛在異質性分析，進一步瞭解家庭關係與學校生活適應困擾之潛在次群體。研究樣本為中部某市立國民中學全校一至三年級各18班共1703位學生。結果發現，二類別二因子IRT Mixture測量恆定模式在一系列競爭模型中，展現出最佳模式適配。其中，二因子代表學校學習與家庭適應困擾，二類別反應高家庭困擾與低家庭困擾，二族群的學習困擾分數無顯著差異。比對試題區辨度發現，IRT Mixture與IRT估計維持一致。與潛在類別分析（LCA）分類結果交叉分析發現，IRT Mixture分類著重於家庭困擾程度。文末並針對本研究結果在輔導與諮商實務意涵以及應用IRT Mixture於實徵研究資料所面臨之挑戰，做出具體討論與建議。
The study utilized IRT Mixture Model to investigate latent heterogeneity of school learning and family relationships to differentiate latent classes and disturbance severity of middle school students. Four statistical models were examined, including IRT, LCA, IRT Mixture (parameters constrained) and IRT Mixture (parameters non-constrained). Results show that two-class two-factor IRT mixture model with constrained parameters provides the best fit of our data. Two factors are school learning and family relationship, and the two classes are high-risk and normal groups. Estimations of IRT Mixture Model are comparable to those of IRT and LCA. In conclusion, mixture models demonstrate more modeling flexibility compared to those of traditional statistical models, but they require larger sample size, longer computer running hours, and more difficulties in reaching algorithm convergence.
期刊論文
1.廖鳳池、許雅惠、翁令珍(200312)。高雄地區青少年逃家經驗之調查研究。諮商輔導學報，9，47-79。new window  延伸查詢new window
2.Bauer, D. J.、Curran, P. J.(2003)。Distributional assumptions of growth mixture models: Implications for overextraction of latent trajectory classes。Psychological Methods，8(3)，338-363。  new window
3.Muthen, B.、Shedden, K.(1999)。Finite mixture modeling with mixture outcomes using the EM algorithm。Biometrics，55(2)，463-469。  new window
4.楊環華(20081000)。以「從眾」理論來探討青少年的偏差行為。臺灣教育，653，57-60。  延伸查詢new window
5.Jedidi, K.、Jagpal, H. S.、DeSarbo, W. S.(1997)。Finite-mixture structural equation models for response based segmentation and unobserved heterogeneity。Marketing Science，16(1)，39-59。  new window
6.Yung, Y. F.(1997)。Finite mixtures in confirmatory factor analysis models。Psychometrika，62，297-330。  new window
7.Muthén, Bengt O.、Asparouhov, Tihomir(2006)。Item response mixture modeling: Application to tobacco dependence criteria。Addictive Behaviors，31(6)，1050-1066。  new window
8.Kim, Youngkoung、Muthén, Bengt O.(2009)。Two-part factor mixture modeling: Application to an aggressive behavior measurement instrument。Structural Equation Modeling，16(4)，602-624。  new window
9.MacCallum, Robert C.、Widaman, Keith F.、Zhang, Shaobo B.、Hong, Sehee H.(1999)。Sample size in factor analysis。Psychological Methods，4(1)，84-99。  new window
10.Little, Todd D.(1997)。Mean and Covariance Structures (MACS) Analyses of Cross-Cultural Data: Practical and Theoretical Issues。Multivariate Behavioral Research，32(1)，53-76。  new window
11.王郁琮、溫福星(20110900)。混合因素分析對群體異質性之探索：以國中生學業困擾二元資料為例。教育與心理研究，34(3)，37-63。new window  延伸查詢new window
12.Lubke, G. H.、Muthén, B. O.(2005)。Investigating population heterogeneity with factor mixture models。Psychological Methods，10，21-39。  new window
13.Muthen, B.(2006)。Should substance use disorders be considered as categorical or dimensional。Addiction，101(1)，6-16。  new window
14.Muthén, Bengt O.、Muthén, Linda K.(2000)。Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes。Alcoholism: Clinical and Experimental Research，24(6)，882-891。  new window
15.Meredith, W.(1993)。Measurement Invariance, Factor Analysis and Factorial Invariance。Psychometrika，58(4)，525-543。  new window
16.王郁琮(2012)。從異質性分析探討國中生霸凌危機與憂鬱情緒之關係：多層次廻歸混合模型。政治大學教育與心理學報，35(1)，127-153。new window  延伸查詢new window
17.Armiger, G.、Stein, P.、Wittenberg, J.(1999)。Mixtures of conditional mean- and covariance-structure models。Psychometrika，64，475-494。  new window
18.Bauer, D. J.、Curran, P. J.(2004)。The integration of continuous and discrete latent variable models: Potential problems and promising opportunities。Psychological Methods，9，3-29。  new window
19.Cudeck, R.、Henly, S. J.(2003)。A realistic perspective on pattern presentation in growth data: Comment on Bauer and Curran。Psychological Methods，8，378-383。  new window
20.Dolan, C. V.、van der Maas, H. L. J.(1998)。Fitting multivariate normal mixtures subject to structural equation modeling。Psychometrika，63，227-253。  new window
21.Kamata, A.、Bauer, D. J.(2008)。A note on the relation between factor analytic and item response theory models。Structural Equation modeling，15(1)，136-153。  new window
22.Lubke, G. H.、Dolan, C. V.(2003)。Can unequal residual variances across subpopulations mask differences in residual means in the common factor model?。Structural Equation Modeling，10，175-192。  new window
23.Lubke, G.、Muthén, B.、Moilanen, I.、McGough, J.、Loo, S.、Swanson, J.、Yang, M.、Taanila, A.、Hurtig, T.、Jarvelin, M.、Smalley, S.(2007)。Subtypes versus severity differences in the Attention-Deficit/Hyperactivity disorder in the northern Finnish birth cohort。Journal of the American Academy of Child and Adolescent Psychiatry，46，1584-1593。  new window
24.Muthén, B.(2003)。Statistical and substantive checking in growth mixture modeling: Comment on bauer and curran。Psychological Methods，8，369-377。  new window
25.Muthén, B.、Asparouhov, T.、Rebollo, I.(2006)。Advances in behavioral genetics modelingusing Mplus: Applications of factor mixture modeling to twin data。Twin Research and Human Genetics，9，313-324。  new window
26.Rindskopf, D.(2003)。Mixture or homogeneous? Comment on bauer and curran (2003)。Psychological Methods，8，364-368。  new window
27.Vermunt, J. K.、Magidson, J.(2003)。Latent class models for classification。Computational Statistics and Data Analysis，41，531-537。  new window
學位論文
1.江明慧(2010)。教師負面評價、同儕關係對青少年偏差行為之影響(碩士論文)。國立成功大學。  延伸查詢new window
2.石友馨(2008)。家庭教養行為、社區鄰里關係與自我概念對青少年偏差行為之影響。國立台北大學。  延伸查詢new window
3.施瑋玲(2009)。徬徨少年時--一位逃家逃學少年的自白。國立成功大學。  延伸查詢new window
圖書
1.Langenheine, R.、Rost, J.(1988)。Latent trait and latent class models。New York：Plenum Press。  new window
2.Heinen, T.(1996)。Latent Class and Discrete Latent Trait Models: Similarities and Differences。Thousand Oaks, CA：Sage。  new window
3.Titterington, D. M.、Smith, A. F. M.、Makov, U. E.(1985)。Statistical Analysis of Finite Mixture Distributions。New York：John Wiley & Sons。  new window
4.Peel, David、McLachlan, Geoffrey J.(2000)。Finite Mixture Models。New York, NY：John Wiley & Sons Inc.。  new window
5.Thurstone, Louis L.(1947)。Multiple Factor Analysis。Chicago, IL：The University of Chicago Press。  new window
6.Muthen, L. K.、Muthen, B. O.(1998)。Mplus user’s guide。Los Angeles, CA：Muthen & Muthen。  new window
7.Lazarsfeld, P. F.、Henry, N. W.(1968)。Latent Structure Analysis。Houghton Mifflin Company。  new window
8.Lord, Frederic M.(1980)。Applications of Item Response Theory to Practical Testing Problems。Lawrence Erlbaum Associates, Inc.。  new window
9.胡秉正、何福田(1997)。國民中學行為困擾調查表指導手冊。台北。  延伸查詢new window
10.Bartholomew, D. J.(1987)。Latent variables models and factor analysis。New York, NY：Oxford University Press。  new window
11.Meredith, W.、Horn, J.(2001)。The role of factorial invariance in modeling growth and change。New methods for the analysis of change \\ L. M. Collins ; A. G. Sayer (Eds.)。Washington, DC。  new window
12.Muthén, B.(2000)。Methodological issues in random coefficient growth modeling using a latent variable framework: Applications to the development of heavy drinking。Multivariate applications in substance use research \\ J. Rose ; L. Chassin ; C. Presson ; J. Sherman (Eds.)。Hillsdale, NJ。  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.Muthen, B.(2001)。Latent variable mixture modeling。New developments and techniques in structural equation modeling。Mahwah, NJ：Lawrence Erlbaum Associates, Inc.。  new window
2.Widaman, K. F.、Reise, S. P.(1997)。Exploring the measurement invariance of psychological instruments: Applications in the substance use domain。The science of prevention: Methodological advances from alcohol and substance abuse research。Washington, DC：American Psychological Association。  new window
 
 
 
 
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