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題名：遺漏值處理法與模型設定對結構方程模型適合度指標之影響
書刊名：中華心理學刊
作者：鄭中平 引用關係／翁儷禎 引用關係
作者(外文)：Cheng, Chung-ping／Weng, Li-jen
出版日期：2003
卷期：45:4
頁次：頁345-360
主題關鍵詞：遺漏值；結構方程模型；適合度指標；Missing data；Structural equation modeling；Fit index
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(2) 博士論文(0) 專書(0) 專書論文(0)
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遺漏值處理是社會科學研究經常面對的問題，本研究目的即探討結構方程模型不同遺漏值與模型適度指標的關係。經由模擬研究，討論不同遺漏值處理法在模型設定正確與錯誤下的過度適配情形，及不同適合度指標在具遺漏資料時之表現。結果顯示，當模型設定錯誤時，結構化最大概似法在部指標上的確有過度連配情形，且隨遺漏值比率增加而越形嚴重；採用無結構最大概似法，再進行結構方程模型分析的兩階段方法則無過度適配情形，然模型設定正確時，其第一類型錯誤偏高。本研究結果並未發現在所有情形下表現優良之遺漏值處理法或適合度指標，使用者宜考量不同情形，選取適當的遺漏值處理法與適合度指標的組合。本研究亦發現Hu與Bentler(1998)所建議部分指標的檢定力過低，使用上宜加注意。
This Monte Carlo study explored effects of missing data treatment and model specification on 8 recommended fit indices in structural equation modeling. The results indicated that the structured maximum likelihood method tended to overestimate the degree of model-data fit, and the degree of overfitting increased as the percentage of missing data increased. Overfitting was not observed with unstructured maximum likelihood method, although this method tended to reject the model too often when the model was correctly specified. None of the fit index or missing data treatment was found to be superior across all conditions. The power of Gamma hat and Mc was found to be low. A careful selection of missing data treatment and fit indices was called for.
期刊論文
1.Jenkins, G. D. Jr.、Taber, T. D.(1977)。A monte carlo study of factors affecting three indices of composite scale reliability。Journal of Applied Psychology，62(4)，392-398。  new window
2.Gerbing, D. W.、Anderson, James C.(1992)。Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models。Sociological Methods and Research，21(2)，132-160。  new window
3.Gold, M. S.、Bentler, P. M.(2000)。Treatments of missing data: A Monte Carlo comparison of RBHDI, iterative stochastic regression imputation, andexpectation-maximization。Structural Equation Modeling，7(3)，319-355。  new window
4.Bollen, Kenneth A.(1986)。Sample size and bentler and Bonett's nonnormed fit index。Psychometrika，51(3)，375-377。  new window
5.Bentler, P. M.、Bonett, D. G.(1980)。Significance test and goodness of fit in the analysis of covariance structures。Psychological Bulletin，88(3)，588-606。  new window
6.Hu, Li-tze、Bentler, Peter M.(1999)。Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives。Structural Equation Modeling: A Multidisciplinary Journal，6(1)，1-55。  new window
7.Enders, C. K.、Bandalos, D. L.(2001)。The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models。Structural Equation Modeling: A Multidisciplinary Journal，8(3)，430-457。  new window
8.Hu, Li-tze、Bentler, Peter M.(1998)。Fit indices in covariance structure modeling: Sensitivity to underparamenterized model misspecification。Psychological Methods，3(4)，424-453。  new window
9.翁儷禎、鄭中平(1996)。結構方程模型增益性適合度指標與估計方法之關係。調查研究，2，89-109。new window  延伸查詢new window
10.Enders, C. K.(2001)。A Primer on Maximum Likelihood Algorithms Available for Use with Missing Data。Structural Equation Modeling: A Multidisciplinary Journal，8(1)，128-141。  new window
11.Finkbeiner, C.(1979)。Estimation for the Multiple Factor Model When Data Are Missing。Psychometrika，44(4)，409-420。  new window
12.La Du, T. J.、Tanaka, J. S.(1989)。Influence of Sample Size, Estimation Method, and Model Specification on Goodness-of-fit Assessments in Structural Equation Models。Journal of Applied Psychology，74(4)，625-635。  new window
13.Skrondal, A.(2000)。Design and Analysis of Monte Carlo Experiments: Attacking the Conventional Wisdom。Multivariate Behavioral Research，35(2)，137-167。  new window
14.Sugawara, H. M.、MacCallum, R. C.(1993)。Effect of Estimation Method on Incremental Fit Indexes for Covariance Structure Models。Applied Psychological Measurement，17(4)，365-377。  new window
15.翁儷禎、鄭中平(1997)。Why Might Relative Fit Indices Differ between Estimators?。Structural Equation Modeling: A Multidisciplinary Journal，4(2)，121-128。  new window
會議論文
1.Weng, L. J.、Cheng, C. P.(1996)。Influence of Method of Estimation on the Null Model in Covariance Structure Analysis。Banff, Canada。  new window
圖書
1.Little, R. J. A.、Rubin, D. B.(1987)。Statistical Analysis with Missing Data。New York：John Wiley & Sons。  new window
2.Cohen, J.(1987)。Statistical power analysis for the behavioral sciences。Hillsdale, NJ：Lawrence Erlbaum Associates。  new window
3.Jöreskog, Karl G.、Sörbom, Dag(1984)。LISREL VI User's Guide。Mooresville, Indiana：Scientific Software, Inc.。  new window
4.Kaplan, David(2000)。Structural Equation Modeling: Foundations and Extensions。Sage Publications。  new window
5.Arbuckle, J. L.(1996)。Full Information Estimation in the Presence of Incomplete Data。Advanced Structural Equation Modeling: Issues and Techniques。Mahwah, NJ：Lawrence Erlbaum Associates, Inc.。  new window
6.Bentler, Peter M.(2001)。EQS 6 Structural Equations Program Manual。Encino, CA：Multivariate Software。  new window
7.Jöreskog, Karl G.、Sörbom, Dag(1993)。New Features in PRELIS 2。New Features in PRELIS 2。Mooresville, IN。  new window
8.Lessler, Judith T.、Kalsbeek, William D.(1992)。Nonsampling Error in Surveys。New York：John Wiley & Sons, Inc.。  new window
9.Wothke, W.(2001)。Longitudinal and Multigroup Modeling with Missing Data。Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples。Mahwah, NJ。  new window
圖書論文
1.Tanaka, J. S.(1993)。Multifaceted conceptions of fit in structural equation models。Testing structural equation models。Newbury Park, California：Sage。  new window
2.Wothke, W.(1993)。Nonpositive definite matrices in structural modeling。Testing structural equation models。Newbury Park, CA：Sage。  new window
 
 
 
 
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