IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v82y2017i1d10.1007_s11336-016-9541-x.html
   My bibliography  Save this article

A Multimethod Latent State-Trait Model for Structurally Different And Interchangeable Methods

Author

Listed:
  • Tobias Koch

    (Leuphana Universität Lüneburg)

  • Martin Schultze

    (Freie Universität Berlin)

  • Jana Holtmann

    (Freie Universität Berlin)

  • Christian Geiser

    (Utah State University)

  • Michael Eid

    (Freie Universität Berlin)

Abstract

A new multiple indicator multilevel latent state-trait (LST) model for the analysis of multitrait–multimethod–multioccasion (MTMM-MO) data is proposed. The LST-COM model combines current CFA-MTMM modeling approaches of interchangeable and structurally different methods and LST modeling approaches. The model enables researchers to specify construct and method factors on the level of time-stable (trait) as well as time-variable (occasion-specific) latent variables and analyze the convergent and discriminant validity among different rater groups across time. The statistical performance of the model is scrutinized by a simulation study and guidelines for empirical applications are provided.

Suggested Citation

  • Tobias Koch & Martin Schultze & Jana Holtmann & Christian Geiser & Michael Eid, 2017. "A Multimethod Latent State-Trait Model for Structurally Different And Interchangeable Methods," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 17-47, March.
    • Handle: RePEc:spr:psycho:v:82:y:2017:i:1:d:10.1007_s11336-016-9541-x
    DOI: 10.1007/s11336-016-9541-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11336-016-9541-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11336-016-9541-x?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. Steffi Pohl & Rolf Steyer & Katrin Kraus, 2008. "Modelling method effects as individual causal effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 41-63, January.
    2. Christian Geiser & Michael Eid & Fridtjof Nussbeck & Delphine Courvoisier & David Cole, 2010. "Multitrait-multimethod change modelling," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 185-201, June.
    3. Steele, Fiona, 2008. "Multilevel models for longitudinal data," LSE Research Online Documents on Economics 52203, London School of Economics and Political Science, LSE Library.
    4. Michael Eid & Lore Hoffmann, 1998. "Measuring Variability and Change With an Item Response Model for Polytomous Variables," Journal of Educational and Behavioral Statistics, , vol. 23(3), pages 193-215, September.
    5. Michael Eid, 2000. "A multitrait-multimethod model with minimal assumptions," Psychometrika, Springer;The Psychometric Society, vol. 65(2), pages 241-261, June.
    6. Tobias Koch & Martin Schultze & Jeremy Burrus & Richard D. Roberts & Michael Eid, 2015. "A Multilevel CFA-MTMM Model for Nested Structurally Different Methods," Journal of Educational and Behavioral Statistics, , vol. 40(5), pages 477-510, October.
    7. Fiona Steele, 2008. "Multilevel models for longitudinal data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 5-19, January.
    8. Donald Zimmerman, 1975. "Probability spaces, hilbert spaces, and the axioms of test theory," Psychometrika, Springer;The Psychometric Society, vol. 40(3), pages 395-412, September.
    9. P. M. Bentler & Chih-Ping Chou, 1987. "Practical Issues in Structural Modeling," Sociological Methods & Research, , vol. 16(1), pages 78-117, August.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    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. Francesco Aiello & Graziella Bonanno & Stefania P. S. Rossi, 2020. "How firms finance innovation. Further empirics from European SMEs," Metroeconomica, Wiley Blackwell, vol. 71(4), pages 689-714, November.
    2. Francesco Aiello & Graziella Bonanno, 2018. "Multilevel empirics for small banks in local markets," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1017-1037, November.
    3. Chester Chun Seng Kam, 2018. "Why Do We Still Have an Impoverished Understanding of the Item Wording Effect? An Empirical Examination," Sociological Methods & Research, , vol. 47(3), pages 574-597, August.
    4. Christine Schnor, 2015. "Does waiting pay off for couples? Partnership duration prior to household formation and union stability," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(22), pages 611-652.
    5. Wondimu Ahmed, 2016. "Gender Differences in Within-Year Changes in Motivation and Achievement in Mathematics," Journal of Educational and Developmental Psychology, Canadian Center of Science and Education, vol. 6(1), pages 1-95, May.
    6. Steele, Fiona & Rasbash, Jon & Jenkins, Jennifer, 2013. "A multilevel simultaneous equations model for within-cluster dynamic effects, with an application to reciprocal parent–child and sibling effects," LSE Research Online Documents on Economics 50114, London School of Economics and Political Science, LSE Library.
    7. Noël Bonneuil & Younga Kim, 2017. "Precarious employment among South Korean women: Is inequality changing with time?," The Economic and Labour Relations Review, , vol. 28(1), pages 20-40, March.
    8. Jing Ma & Chunjiang Li & Mei-Po Kwan & Yanwei Chai, 2018. "A Multilevel Analysis of Perceived Noise Pollution, Geographic Contexts and Mental Health in Beijing," IJERPH, MDPI, vol. 15(7), pages 1-18, July.
    9. A. Azarbar & Y. Zhang & S. Nadarajah, 2019. "An investigation of effective factors on children’s growth failure in Iran using multilevel models," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 553-560, March.
    10. Tobias Koch & Martin Schultze & Jeremy Burrus & Richard D. Roberts & Michael Eid, 2015. "A Multilevel CFA-MTMM Model for Nested Structurally Different Methods," Journal of Educational and Behavioral Statistics, , vol. 40(5), pages 477-510, October.
    11. Drasch, Katrin, 2011. "Do changing institutional settings matter? : educational attainment and family related employment interruptions in Germany," IAB-Discussion Paper 201113, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Sharimakin, Akinsehinwa & Glass, Anthony J. & Saal, David S. & Glass, Karligash, 2018. "Dynamic multilevel modelling of industrial energy demand in Europe," Energy Economics, Elsevier, vol. 74(C), pages 120-130.
    13. Anna Matysiak & Tomáš Sobotka & Daniele Vignoli, 2021. "The Great Recession and Fertility in Europe: A Sub-national Analysis," European Journal of Population, Springer;European Association for Population Studies, vol. 37(1), pages 29-64, March.
    14. Fazio, Giorgio & Piacentino, Davide, 2018. "Convergence analysis for hierarchical longitudinal data," Economic Modelling, Elsevier, vol. 73(C), pages 89-99.
    15. Lara Abdel Fattah & Giuseppe Arcuri & Aziza Garsaa & Nadine Levratto, 2020. "Firm financial soundness and knowledge externalities: A comparative regional analysis," Papers in Regional Science, Wiley Blackwell, vol. 99(5), pages 1459-1486, October.
    16. Francesco Aiello & Graziella Bonanno & Stefania Patrizia Sonia Rossi, 2019. "Risk Aversion And Entrepreneurship: Financing Innovation For Smes Across Europe. Evidence From Multilevel Models," Working Papers 201902, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    17. Sharimakin, Akinsehinwa, 2019. "Measuring the energy input substitution and output effects of energy price changes and the implications for the environment," Energy Policy, Elsevier, vol. 133(C).
    18. Francesco Lagona & Antonello Maruotti & Fabio Padovano, 2015. "Multilevel multivariate modelling of legislative count data, with a hidden Markov chain," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(3), pages 705-723, June.
    19. French, Robert & Steele, Fiona, 2015. "Trajectories of functional disability for the elderly in Britain," LSE Research Online Documents on Economics 64899, London School of Economics and Political Science, LSE Library.
    20. Yeji Yang & Eunbin Ro & Taek-Joo Lee & Byung-Chul An & Kwang-Pyo Hong & Ho-Jun Yun & Eun-Yeong Park & Hye-Ryeong Cho & Suk-Young Yun & Miok Park & Young-Jo Yun & Ai-Ran Lee & Jeong-Ill Jeon & Songhie , 2022. "The Multi-Sites Trial on the Effects of Therapeutic Gardening on Mental Health and Well-Being," IJERPH, MDPI, vol. 19(13), pages 1-13, June.

    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:82:y:2017:i:1:d:10.1007_s11336-016-9541-x. 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.