IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v23y1996i2p239-256.html
   My bibliography  Save this article

Sensitivity analysis of structural equation models with equality functional constraints

Author

Listed:
  • Shu-Jia Wang
  • Sik-Yum Lee

Abstract

No abstract is available for this item.

Suggested Citation

  • Shu-Jia Wang & Sik-Yum Lee, 1996. "Sensitivity analysis of structural equation models with equality functional constraints," Computational Statistics & Data Analysis, Elsevier, vol. 23(2), pages 239-256, December.
    • Handle: RePEc:eee:csdana:v:23:y:1996:i:2:p:239-256
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(96)00034-5
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Karl Jöreskog, 1978. "Structural analysis of covariance and correlation matrices," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 443-477, December.
    2. P. Bentler, 1983. "Some contributions to efficient statistics in structural models: Specification and estimation of moment structures," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 493-517, December.
    3. Wang, S. J. & Lee, Sik-Yum, 1995. "A geometric approach of the generalized least-squares estimation in analysis of covariance structures," Statistics & Probability Letters, Elsevier, vol. 24(1), pages 39-47, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qingming Zou & Zhongyi Zhu & Jinglong Wang, 2009. "Local influence analysis for penalized Gaussian likelihood estimation in partially linear single-index models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 61(4), pages 905-918, December.
    2. Manuel Galea & Patricia Giménez, 2019. "Local influence diagnostics for the test of mean–variance efficiency and systematic risks in the capital asset pricing model," Statistical Papers, Springer, vol. 60(1), pages 293-312, February.
    3. Jalilvand, Abolhassan & Noroozabad, Mojtaba Rostami & Switzer, Jeannette, 2018. "Informed and uninformed investors in Iran: Evidence from the Tehran Stock Exchange," Journal of Economics and Business, Elsevier, vol. 95(C), pages 47-58.
    4. Tuğba Yeğin & Muhammad Ikram, 2022. "Developing a Sustainable Omnichannel Strategic Framework toward Circular Revolution: An Integrated Approach," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    5. Lee, Sik-Yum & Lu, Bin & Song, Xin-Yuan, 2006. "Assessing local influence for nonlinear structural equation models with ignorable missing data," Computational Statistics & Data Analysis, Elsevier, vol. 50(5), pages 1356-1377, March.
    6. Tanaka, Yutaka & Zhang, Fanghong, 1999. "R-mode and Q-mode influence analyses in statistical modelling: relationship between influence function approach and local influence approach," Computational Statistics & Data Analysis, Elsevier, vol. 32(2), pages 197-218, December.
    7. Tanaka, Yutaka & Zhang, Fanghong & Mori, Yuichi, 2003. "Local influence in principal component analysis: relationship between the local influence and influence function approaches revisited," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 143-160, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hong-Tu Zhu & Sik-Yum Lee, 2001. "A Bayesian analysis of finite mixtures in the LISREL model," Psychometrika, Springer;The Psychometric Society, vol. 66(1), pages 133-152, March.
    2. Bengt Muthén, 1989. "Latent variable modeling in heterogeneous populations," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 557-585, September.
    3. Sik-Yum Lee & S. Wang, 1996. "Sensitivity analysis of structural equation models," Psychometrika, Springer;The Psychometric Society, vol. 61(1), pages 93-108, March.
    4. FeCheng Ma & Farhan Khan & Kashif Ullah Khan & Si XiangYun, 2021. "Investigating the Impact of Information Technology, Absorptive Capacity, and Dynamic Capabilities on Firm Performance: An Empirical Study," SAGE Open, , vol. 11(4), pages 21582440211, November.
    5. XiaoJuan Zhang & Xiang Jinpeng & Farhan Khan, 2020. "The Influence of Social Media on Employee’s Knowledge Sharing Motivation: A Two-Factor Theory Perspective," SAGE Open, , vol. 10(3), pages 21582440209, July.
    6. Dewani, Prem Prakash & Sinha, Piyush Kumar & Mathur, Sameer, 2016. "Role of gratitude and obligation in long term customer relationships," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 143-156.
    7. Ringle, Christian M. & Sarstedt, Marko & Schlittgen, Rainer & Taylor, Charles R., 2013. "PLS path modeling and evolutionary segmentation," Journal of Business Research, Elsevier, vol. 66(9), pages 1318-1324.
    8. Li, You & Li, Xiaolin & Cai, Jiali, 2021. "How attachment affects user stickiness on live streaming platforms: A socio-technical approach perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    9. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    10. Haruhiko Ogasawara, 2001. "Standard errors of fit indices using residuals in structural equation modeling," Psychometrika, Springer;The Psychometric Society, vol. 66(3), pages 421-436, September.
    11. Ke-Hai Yuan & Ying Cheng & Wei Zhang, 2010. "Determinants of Standard Errors of MLEs in Confirmatory Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 633-648, December.
    12. Roderick McDonald, 1986. "Describing the elephant: Structure and function in multivariate data," Psychometrika, Springer;The Psychometric Society, vol. 51(4), pages 513-534, December.
    13. Albert Satorra, 1989. "Alternative test criteria in covariance structure analysis: A unified approach," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 131-151, March.
    14. Hoshino, Takahiro, 2008. "A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1413-1429, January.
    15. John, George & Reve, Torger, 2010. "Transaction Cost Analysis in Marketing: Looking Back, Moving Forward," Journal of Retailing, Elsevier, vol. 86(3), pages 248-256.
    16. Sik-Yum Lee & Xin-Yuan Song, 2003. "Model comparison of nonlinear structural equation models with fixed covariates," Psychometrika, Springer;The Psychometric Society, vol. 68(1), pages 27-47, March.
    17. Ab Mooijaart, 1985. "Factor analysis for non-normal variables," Psychometrika, Springer;The Psychometric Society, vol. 50(3), pages 323-342, September.
    18. Ke-Hai Yuan & Peter M. Bentler & Wei Zhang, 2005. "The Effect of Skewness and Kurtosis on Mean and Covariance Structure Analysis," Sociological Methods & Research, , vol. 34(2), pages 240-258, November.
    19. Alba Barrero Caballero, 2023. "Comportamiento de consumo de los millennials y estrategias comunicativas en Facebook e Instagram del sector de la moda 2016-2019," DOCFRADIS Working Papers 2303, Catedra Fundación Ramón Areces de Distribución Comercial, revised Apr 2023.
    20. Yutaka Kano, 1990. "Noniterative estimation and the choice of the number of factors in exploratory factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 55(2), pages 277-291, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:csdana:v:23:y:1996:i:2:p:239-256. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.