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引文資料
題名:
分析方法與交乘項策略組合對潛在交互作用及二次效果估計之評估
書刊名:
中華心理學刊
作者:
陳淑萍
/
余麗樺
/
鄭中平
作者(外文):
Chen, Shu-ping
/
Yu, Lifa
/
Cheng, Chung-ping
出版日期:
2008
卷期:
50:4
頁次:
頁447-472
主題關鍵詞:
結構方程模型
;
潛在交互作用效果
;
潛在非線性效果
;
Latent interaction effect
;
Latent nonlinear effect
;
Structural equation modeling
原始連結:
連回原系統網址
相關次數:
被引用次數:期刊(
1
) 博士論文(
1
) 專書(0) 專書論文(0)
排除自我引用:0
共同引用:0
點閱:94
實徵研究上,非線性關係常為研究者所關切,發展潛在變項間交互作用與二次效果等非線性效果之估計有其重要性。本研究以模擬方式,評估中心化限制式方法、Jaccard與Wan程序、部分限制式方法及未限制式方法等四種利用引進交乘項的方法,搭配單一配對、兩兩配對及所有配對型式不同交乘項策略下,對潛在交互作用模型與潛在二次模型估計之影響。結果顯示,四種方法與交乘項策略對估計影響不大,但部分限制式方法於三種配對組合、未限制式方法於兩兩配對與所有配對組合,在適當解比率與參數估計評估表現皆較其他組合差,以小樣本或外生潛在變項負載量低時尤為明顯。
以文找文
In conducting empirical research, researchers are often interested in nonlinear relationships. Thus, accurately estimating latent interaction and quadratic effects is of great importance. This research aims to evaluate latent interaction and quadratic effects by means of the Monte Carlo method. Performances of all possible combinations of four product indicator based analysis methods with three product strategies are examined. The four approaches used in this study include the centered constrained approach, Jaccard and Wan's procedure, the partially constrained approach, and the unconstrained approach, while the three product strategies are one pair, matched pairs, and all pairs. The results indicate that different approaches and product strategies have little effect on the estimates, but the partially constrained approach and the unconstrained approach (except for the one-pair strategy) produce fewer fully proper solutions, more bias and greater root mean square error for smaller sample sizes or poor reliability of the indicators.
以文找文
期刊論文
1.
Cortina, J. M.、Chen, G.、Dunlap, W. P.(2001)。Testing Interaction Effects in LISREL: Examination and Illustration of Available Procedures。Organizational Research Methods,4(4),324-360。
2.
Algina, J.、Moulder, B. C.(2002)。Comparison of methods for estimating and testing latent variable interactions。Structural Equation Modeling,9,1-19。
3.
Jaccard, J.、Wan, C. K.(1995)。Measurement Error in the Analysis of Interaction Effects between Continuous Predictors Using Multiple Regression: Multiple Indicator and Structural Equation approaches。Psychological Bulletin,117,348-357。
4.
Klein, A. G.、Moosbrugger, H.(2000)。Maximum Likelihood Estimation of Latent Interaction Effects with the LMS Method。Psychometrika,65,457-474。
5.
Wall, M. M.、Amemiya, Y.(2001)。Generalized Appended Product Indicator Procedure for Nonlinear Structural Equation Analysis。Journal of Educational and Behavioral Statistics,26,1-29。
6.
Little, T. D.、Bovaird, J. A.、Widaman, K. F.(2006)。On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions among Latent Variables。Structural Equation Modeling: A Multidisciplinary Journal,13(4),497-519。
7.
Klein, A. G.、Muthén, B. O.(2007)。Quasi maximum likelihood estimation of structural equation models with multiple interaction and quadratic effects。Multivariate Behavioral Research,42(4),647-673。
8.
Kenny, D. A.、Judd, C. M.(1984)。Estimating the Nonlinear and Interactive Effects of Latent Variables。Psychological Bulletin,96(1),201-210。
9.
Marsh, H. W.、Wen, Z.、Hau, K. T.(2004)。Structural Equation Models of Latent Interactions: Evaluation of Alternative Estimation Strategies and Indicator Construction。Psychological Methods,9(3),275-300。
10.
Williams, L. J.、Edwards, J. R.、Vandenberg, R. J.(2003)。Recent advances in causal modeling methods for organizational and management research。Journal of Management,29(6),903-936。
11.
Lee, S. Y.、Zhu, H. T.(2000)。Statistical Analysis of Nonlinear Structural Equation Models with Continuous and Polytomous Data。British Journal of Mathematical and Statistical Psychology,53(2),209-232。
12.
Arminger, G.、Muthén, B. O.(1998)。A Bayesian Approach to Nnonlinear Latent Variable Models Using the Gibbs-Sampler and the Metropolis-Hastings Algorithm。Psychometrika,63,271-300。
13.
Ping, R. A. Jr.(1996)。Latent variable interaction and quadratic effect estimation: A two-step technique using structural equation analysis。Psychological Bulletin,119(1),166-175。
14.
Bentler, Paul M.、Chou, Chih-ping(1987)。Practical Issues in Structural Modeling。Sociological Methods and Research,16(1),78-117。
15.
Moosbrugger, H.、Schermelleh-Engel, K.、Klein, A.(1997)。Methodological Problems of Estimating Latent Interaction Effects。Methods of Psychological Research Online,2(2),95-111。
16.
Algina, J.、Moulder, B. C.(2001)。A Note on Estimating the Jöreskog-Yang Model for Latent Variable Interaction Using LISREL 8.3。Structural Equation Modeling,8,40-52。
17.
Bauer, D. J.(2005)。A Semiparametric Approach to Modeling Nonlinear Relations among Latent Variables。Structural Equation Modeling,12,513-535。
18.
Lee, S. Y.、Song, X. Y.、Poon, W. Y.(2004)。Comparison of Approaches in Estimating Interaction and Quadratic Effects of Latent Variables。Multivariate Behavioral Research,39,37-67。
19.
Lee, S. Y.、Zhu, H. T.(2002)。Maximum Likelihood Estimation of Nonlinear Structural Equation Models。Psychometrika,67,189-210。
20.
Busemeyer, J. R.、Jones, L. E.(1983)。Analysis of Multiplicative Combination Rules When the Causal Variables are Measured with Error。Psychological Bulletin,93,549-562。
21.
Wall, M. M.、Amemiya, Y.(2000)。Estimation for Polynomial Structural Equation Models。Journal of the American Statistical Association,95,929-940。
圖書
1.
Bollen, K. A.(1989)。Structural Equations with Latent Variables。New York:John Wiley & Sons。
2.
Jöreskog, K. G.、Yang, F.(1996)。Nonlinear Structural Equation mModels: The Kenny-Judd Model with Interaction Effects。Advanced Structural Equation Modeling: Issues and Techniques。Mahwah, NJ。
3.
Tate, R. L.(1998)。Effect Decomposition in Interaction and Nonlinear Models。Interaction and Nonlinear Effects in Structural Equation Modeling。Mahwah, NJ。
4.
Ping, R. A.(1998)。EQS and LISREL Examples Using Survey Data。Interaction and Nonlinear Effects in Structural Equation Modeling。Mahwah, NJ。
5.
Wood, P. K.、Erikson, D. J.(1998)。Estimating Interaction and Nonlinear Effects with SAS。Interaction and Nonlinear Effects in Structural Equation Modeling。Mahwah, NJ。
6.
Milliken, G. A.、Johnson, D. E.(1989)。Analysis of Messy Data, Vol. II。Analysis of Messy Data, Vol. II。Belmont, CA。
圖書論文
1.
Bollen, K. A.、Paxton, P.(1998)。Two-stage Least Squares Estimation of Interaction Effects。Interaction and Nonlinear Effects in Structural Equation Modeling。Mahwah, NJ:Lawrence Erlbaum Associates, Inc.。
2.
Boomsma, A.、Hoogland, J. J.(2001)。The robustness of lisrel modeling revisited。Structural equation models: Present and future. A Festschrift in honor of Karl Joreskog。Chicago, IL:Scientific Software International。
3.
Neale, M. C.(1998)。Modeling Interaction and Nonlinear Effects with Mx: A General Approach。Interaction and Nonlinear Effects in Structural Equation Modeling。Mahwah, NJ:Lawrence Erlbaum Associates, Inc.。
4.
Schermelleh-Engel, K.、Klein, A.、Moosbrugger, H.(1998)。Estimating nonlinear effects using a latent moderated structural equations approach。Interaction and nonlinear effects in structural equation modeling。Mahwah, NJ:Lawrence Erlbaum Associates, Inc.。
5.
Marsh, H. W.、Wen, Z.、Hau, K. T.(2006)。Structural equation models of latent interaction and quadratic effects。Introduction to structural equation modeling: A second course。Mahwah, NJ:Erlbaum。
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