IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v58y1993i4p575-585.html
   My bibliography  Save this article

A general model for two-level data with responses missing at random

Author

Listed:
  • Roderick McDonald

Abstract

No abstract is available for this item.

Suggested Citation

  • Roderick McDonald, 1993. "A general model for two-level data with responses missing at random," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 575-585, December.
  • Handle: RePEc:spr:psycho:v:58:y:1993:i:4:p:575-585
    DOI: 10.1007/BF02294828
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294828
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02294828?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Bengt Muthén, 1989. "Latent variable modeling in heterogeneous populations," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 557-585, September.
    2. Harvey Goldstein & Roderick McDonald, 1988. "A general model for the analysis of multilevel data," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 455-467, December.
    3. Roderick McDonald & Prudence Parker & Tomoichi Ishizuka, 1993. "A scale-invariant treatment for recursive path models," Psychometrika, Springer;The Psychometric Society, vol. 58(3), pages 431-443, September.
    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. Piotr Tarka, 2018. "An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 313-354, January.
    2. Jiajuan Liang & Peter Bentler, 2004. "An EM algorithm for fitting two-level structural equation models," Psychometrika, Springer;The Psychometric Society, vol. 69(1), pages 101-122, March.
    3. Stephen W. Raudenbush & Robert Sampson, 1999. "Assessing Direct and Indirect Effects in Multilevel Designs with Latent Variables," Sociological Methods & Research, , vol. 28(2), pages 123-153, November.
    4. Steffen Nestler & Mitja D. Back, 2017. "Using Cross-Classified Structural Equation Models to Examine the Accuracy of Personality Judgments," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 475-497, June.
    5. Wai-Yin Poon & Hai-Bin Wang, 2010. "Analysis of a Two-Level Structural Equation Model With Missing Data," Sociological Methods & Research, , vol. 39(1), pages 25-55, August.
    6. Nicholas J. Rockwood, 2020. "Maximum Likelihood Estimation of Multilevel Structural Equation Models with Random Slopes for Latent Covariates," Psychometrika, Springer;The Psychometric Society, vol. 85(2), pages 275-300, June.

    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. Ke-Hai Yuan & Kentaro Hayashi, 2005. "On muthén’s maximum likelihood for two-level covariance structure models," Psychometrika, Springer;The Psychometric Society, vol. 70(1), pages 147-167, March.
    2. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "Generalized multilevel structural equation modeling," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 167-190, June.
    3. N. Longford & B. Muthén, 1992. "Factor analysis for clustered observations," Psychometrika, Springer;The Psychometric Society, vol. 57(4), pages 581-597, December.
    4. Sik-Yum, Lee & Wai-Yin, Poon, 1995. "Estimation of factor scores in a two-level confirmatory factor analysis model," Computational Statistics & Data Analysis, Elsevier, vol. 20(3), pages 275-284, September.
    5. RODERICK P. McDONALD, 1994. "The Bilevel Reticular Action Model for Path Analysis with Latent Variables," Sociological Methods & Research, , vol. 22(3), pages 399-413, February.
    6. Coenders, Germà & Espinet, Josep Maria & Saez, Marc, 2001. "Predicting random level and seasonality of hotel prices. A structural equation growth curve approach," Working Papers of the Department of Economics, University of Girona 1, Department of Economics, University of Girona.
    7. Bacci, Silvia & Bartolucci, Francesco & Pieroni, Luca, 2012. "A causal analysis of mother’s education on birth inequalities," MPRA Paper 38754, University Library of Munich, Germany.
    8. Yiu-Fai Yung, 1997. "Finite mixtures in confirmatory factor-analysis models," Psychometrika, Springer;The Psychometric Society, vol. 62(3), pages 297-330, September.
    9. Ryan, Joseph P. & Garnier, Philip & Zyphur, Michael & Zhai, Fuhua, 2006. "Investigating the effects of caseworker characteristics in child welfare," Children and Youth Services Review, Elsevier, vol. 28(9), pages 993-1006, September.
    10. Asim Ansari & Kamel Jedidi & Sharan Jagpal, 2000. "A Hierarchical Bayesian Methodology for Treating Heterogeneity in Structural Equation Models," Marketing Science, INFORMS, vol. 19(4), pages 328-347, August.
    11. Nicholas J. Rockwood, 2020. "Maximum Likelihood Estimation of Multilevel Structural Equation Models with Random Slopes for Latent Covariates," Psychometrika, Springer;The Psychometric Society, vol. 85(2), pages 275-300, June.
    12. Ellen D’Haenens & Jan Van Damme & Patrick Onghena, 2012. "Constructing measures for school process variables: the potential of multilevel confirmatory factor analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(1), pages 155-188, January.
    13. Holger Steinmetz & Peter Schmidt & Andrea Tina-Booh & Siegrid Wieczorek & Shalom Schwartz, 2009. "Testing measurement invariance using multigroup CFA: differences between educational groups in human values measurement," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(4), pages 599-616, July.
    14. Bobby L. Jones & Daniel S. Nagin & Kathryn Roeder, 2001. "A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories," Sociological Methods & Research, , vol. 29(3), pages 374-393, February.
    15. Pietro Lovaglio & Giorgio Vittadini, 2013. "Multilevel dimensionality-reduction methods," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(2), pages 183-207, June.
    16. Anna Ruelens & Bart Meuleman & Ides Nicaise, 2018. "Examining Measurement Isomorphism of Multilevel Constructs: The Case of Political Trust," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 907-927, December.
    17. Nadezhda Lebedeva & Peter Schmidt, 2013. "Values and Attitudes towards Innovation among Canadian, Chinese and Russian Students," HSE Working papers WP BRP 04/SOC/2013, National Research University Higher School of Economics.
    18. 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.
    19. Rodgers, Waymond, 1999. "The influences of conflicting information on novices and loan officers' actions," Journal of Economic Psychology, Elsevier, vol. 20(2), pages 123-145, April.
    20. Pilar Rivera & Albert Satorra, 2000. "Country effects in ISSP-1993 environmental data: Comparison of SEM approaches," Economics Working Papers 458, Department of Economics and Business, Universitat Pompeu Fabra.

    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:spr:psycho:v:58:y:1993:i:4:p:575-585. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.