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題名：國中生人際衝突多層次潛在類別Mixture模式分析
書刊名：教育與心理研究
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：2013
卷期：36:1
頁次：頁89-116
主題關鍵詞：多層次潛在類別分析；多層次Mixture模式；國中生人際衝突；Multilevel latent class analysis；Multilevel mixture model；Interpersonal conflicts
原始連結：連回原系統網址new window
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  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
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  • 共同引用共同引用:3
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本研究利用多層次潛在類別無母數模式與多層次Mixture模式，針對國中生人際衝突二元資料同時進行學生及班級多階層類型探索，並對班級衝突脈絡變項進行多階層因素分析。研究樣本來自國中1～3年級85個班級共2,783人。學生層次分析顯示，國中生人際衝突族群分為三類，分別為「行為」、「語言」與「和諧」衝突族群。其中男生較易被歸為「行為」衝突；女生較易被歸為「語言」衝突。班級層次分析顯示，班級特定機率比值為單一類型而班級特定隨機指標建構出單因子模式，但個別因素負荷量不顯著，表示本研究在班級個數有限下，無法區分班級異質性。本研究進一步比較無母數與Mixture模式之分析結果，並針對人際衝突危機的實徵意涵與多層次潛在類別Mixture模式的技術應用進行詳細論述。
Conventional latent class analysis (LCA) classifies subjects into various categories by analyzing their response patterns to observed variables. However, multilevel latent class analysis (MLCA) is methodologically more appropriate when data are collected from a nested structure sample. Primary strength of MLCA is to analyze student and classroom levels of data simultaneously while taking the nested structure of the data into account. This study utilized and compared two different MLCA approaches including nonparametric MLCA and MLCA mixture models. Gender and proportion of boys in class are level 1 and level 2 covariates, respectively. Data were collected from 85 junior high classes with a total of 2,783 7th to 9th grade students. The observed variables include five binary self-reported survey questions regarding experiences related to interpersonal conflicts at school. All analyses were carried out by using Mplus6.0. Results show that non-parametric MLCA and MLCA mixture models fit the data equally well. Students are clustered into three categories namely "peaceful", "vocal" and "behavioral" of interpersonal conflicts. Boys are more likely to be classified as "behavioral" conflict while girls are more likely to be classified as "vocal" conflict. Nonparametric model clusters level 2 random intercepts as one class, whereas mixture model extracts the covariance among five level 2 random indicators as single factor possibly due to small number of level 2 units. Results of nonparametric and mixture MLCA were also discussed. Empirical implications as well as methodological challenges applying MLCA nonparametric and mixture models, are discussed in the end of the study.
期刊論文
1.Finch, W. H.、Bronk, K. C.(2011)。Conducting Confirmatory Latent Class Analysis Using Mplus。Structural Equation Modeling，18，132-151。  new window
2.Bijmolt, T. H.、Paas, L. J.、Vermunt, J. K.(2004)。Country and consumer segmentation: Multi-level latent class analysis of financial product ownership。International Journal of Research in Marketing，21，323-340。  new window
3.Hoijtink, H.(2001)。Confirmatory latent class analysis: Model selection using Bayes factors and (pseudo) likelihood ratio statistics。Multivariate Behavioral Research，36，563-588。  new window
4.Lubke, G、Muthén, B.O.(2005)。Investigating populatipn heterogeneity with factor mixture models。Psychological Methods，10，21-39。  new window
5.Masyn, K. E.、Henderson, C. E.、Greenbaum, P. E.(2010)。Exploring the latent structures of psychological constructs in social development using the dimensional-categorical spectrum。Social Development，19(3)，470-493。  new window
6.Henry, K.、Muthén, B.(2010)。Multilevel latent class analysis: An application of adolescent smoking typologies with individual and contextual predictors。Structural Equation Modeling，17(193)，215。  new window
7.Vermunt, J. K.(2003)。Multilevel latent class models。Sociological Methodology，33，213-239。  new window
8.Vermunt, J, K.(2008)。Multilevel latent variable modeling: An application in educational testing。Austrian Journal of Statistics，37(3/4)，285-299。  new window
9.Vermunt, J. K.、Dijk, L. A.(2001)。A nonparametric random-coefficients approach: The latent class regression model。Multilevel Modelling Newsletter，13，6-13。  new window
10.Snijders, T. A. B.、Bosker, R. J.(1994)。Modeled variance in two-level models。Sociological Methods & Research，22(3)，342-363。  new window
11.Croon, M.(1990)。Latent Class Analysis with Ordered Latent Classes。The British Journal of Mathematical and Statistical Psychology，43，171-192。  new window
12.王郁琮(20120300)。從異質性分析探討國中生霸凌危機與憂鬱情緒之關係：多層次迴歸混合模式。教育與心理研究，35(1)，127-153。new window  延伸查詢new window
13.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
14.Lubke, G.、Neale, M. C.(2006)。Distinguishing between latent classes and continuous factors: Resolution by maximum likelihood?。Multivariate Behavioral Research，41(4)，499-532。  new window
15.Goodman, Leo A.(1974)。Exploratory latent structure analysis using both identifiable and unidentifiable models。Biometrika，61(2)，215-231。  new window
圖書
1.Laudy, O.、Boom, J.、Hoijtink, H.(2005)。Bayesian computational methods for inequality constrained latent class analysis。New development in categorical data analysis for the social and behavioural sciences。Londen, UK：Eribaum。  new window
2.Lukociene, O.、Vermunt, J. K.(2010)。Determining the number of components in mixture models for hierarchical data。Advances in data analysis, data handling and business intelligence。Berlin-Heidelberg, Geramany：Springer。  new window
3.Langenheine, R.、Rost, J.(1988)。Latent trait and latent class models。New York：Plenum Press。  new window
4.Heinen, T.(1996)。Latent Class and Discrete Latent Trait Models: Similarities and Differences。Thousand Oaks, CA：Sage。  new window
5.Peel, David、McLachlan, Geoffrey J.(2000)。Finite Mixture Models。New York, NY：John Wiley & Sons Inc.。  new window
6.Goldstein, H.(2003)。Multilevel statistical models。London, UK：Edward Arnold。  new window
7.Thurstone, Louis L.(1947)。Multiple Factor Analysis。Chicago, IL：The University of Chicago Press。  new window
8.Muthen, L. K.、Muthen, B. O.(1998)。Mplus user’s guide。Los Angeles, CA：Muthen & Muthen。  new window
9.Lazarsfeld, P. F.、Henry, N. W.(1968)。Latent Structure Analysis。Houghton Mifflin Company。  new window
10.Raudenbush, Stephen W.、Bryk, Anthony S.(2002)。Hierarchical linear models: Applications and data analysis methods。Sage。  new window
11.胡秉正、何福田(1997)。國民中學行為困擾調查表。臺北市：中國行為科學社。  延伸查詢new window
12.Bartholomew, D. J.(1987)。Latent variables models and factor analysis。New York, NY：Oxford University Press。  new window
圖書論文
1.Asparouhov, T.、Muthen, B.(2008)。Multilevel mixture models。Advances in latent variable mixture models。Charlotte, NC：Information Age。  new window
2.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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