IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v44y2010i1p153-166.html
   My bibliography  Save this article

Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables

Author

Listed:
  • Francisco Holgado–Tello
  • Salvador Chacón–Moscoso
  • Isabel Barbero–García
  • Enrique Vila–Abad

Abstract

No abstract is available for this item.

Suggested Citation

  • Francisco Holgado–Tello & Salvador Chacón–Moscoso & Isabel Barbero–García & Enrique Vila–Abad, 2010. "Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(1), pages 153-166, January.
  • Handle: RePEc:spr:qualqt:v:44:y:2010:i:1:p:153-166
    DOI: 10.1007/s11135-008-9190-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-008-9190-y
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11135-008-9190-y?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. Jarl Kampen & Marc Swyngedouw, 2000. "The Ordinal Controversy Revisited," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(1), pages 87-102, February.
    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. Christian E. Weller & Ghazal Zulfiqar, 2013. "Financial Market Diversity and Macroeconomic Stability," Working Papers wp332, Political Economy Research Institute, University of Massachusetts at Amherst.

    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. Coltman, Tim & Devinney, Timothy M. & Keating, Byron W., 2010. "Best-worst scaling approach to predict customer choice for 3PL services," MPRA Paper 40492, University Library of Munich, Germany.
    2. Hadžibajramovic, Emina & Svensson, Elisabeth & Ahlborg Jr, Gunnar, 2013. "Construction of a global score from multi-item questionnaires in epidemiological studies," Working Papers 2013:4, Örebro University, School of Business.
    3. Manuel Carlos Vallejo-Martos, 2016. "Institutionalism and the Influence of the Cultural Values of the Family Subsystem on the Management of the Small–Medium Family Firms," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(1), pages 119-137, January.
    4. Michele Lalla, 2017. "Fundamental characteristics and statistical analysis of ordinal variables: a review," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 435-458, January.
    5. Alessandro Barbiero & Asmerilda Hitaj, 2020. "Goodman and Kruskal’s Gamma Coefficient for Ordinalized Bivariate Normal Distributions," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 905-925, December.
    6. Dolnicar, Sara & Grün, Bettina & Leisch, Friedrich, 2016. "Increasing sample size compensates for data problems in segmentation studies," Journal of Business Research, Elsevier, vol. 69(2), pages 992-999.
    7. Jarl Kampen, 2007. "The Impact of Survey Methodology and Context on Central Tendency, Nonresponse and Associations of Subjective Indicators of Government Performance," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(6), pages 793-813, December.
    8. Kamal, Mustafa & Blacklow, Paul, 2021. "Attitudes to gender and personality in the Australian gender wage gap," Working Papers 2021-07, University of Tasmania, Tasmanian School of Business and Economics.
    9. Pearce, Antony & Pons, Dirk, 2019. "Advancing lean management: The missing quantitative approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    10. Pal, Abhipsa & Herath, Tejaswini & De', Rahul & Raghav Rao, H., 2021. "Why do people use mobile payment technologies and why would they continue? An examination and implications from India," Research Policy, Elsevier, vol. 50(6).
    11. Fredrik Ødegaard & Pontus Roos, 2013. "Measuring Worksite Health Promotion Programs: an application of Structural Equation Modeling with ordinal data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(4), pages 639-653, August.
    12. Giulio D’Epifanio, 2009. "Implicit Social Scaling from an Institutional Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(2), pages 203-212, November.
    13. Antony Pearce & Dirk Pons & Thomas Neitzert, 2023. "Understanding Lean—Statistical Analysis of Perceptions and Self-Deception Regarding Lean Management," SN Operations Research Forum, Springer, vol. 4(2), pages 1-43, June.
    14. Sara Casacci & Adriano Pareto, 2015. "Methods for quantifying ordinal variables: a comparative study," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 1859-1872, September.
    15. Dolnicar, Sara & Grün, Bettina, 2009. "Does one size fit all? The suitability of answer formats for different constructs measured," Australasian marketing journal, Elsevier, vol. 17(1), pages 58-64.
    16. Jarl K. Kampen & Arie Weeren, 2017. "A recommendation for applied researchers to substantiate the claim that ordinal variables are the product of underlying bivariate normal distributions," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2163-2170, September.
    17. Hanne Berthelsen & Hugo Westerlund & Jan Hyld Pejtersen & Emina Hadzibajramovic, 2019. "Construct validity of a global scale for Workplace Social Capital based on COPSOQ III," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-16, August.
    18. Jarl Kampen, 2010. "On the (In)Consistency of Citizen and Municipal Level Indicators of Social Capital and Local Government Performance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 97(2), pages 213-228, June.
    19. Duoduo Xu & Shuheng Jin & Ngai Pun & Jiao Guo & Xiaogang Wu, 2024. "The Scarring Effect of First Job Precarity: New Evidence from a Panel Study in Hong Kong," Work, Employment & Society, British Sociological Association, vol. 38(1), pages 206-225, February.
    20. Samir Mili & Maria Bouhaddane, 2021. "Forecasting Global Developments and Challenges in Olive Oil Supply and Demand: A Delphi Survey from Spain," Agriculture, MDPI, vol. 11(3), pages 1-25, February.

    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:qualqt:v:44:y:2010:i:1:p:153-166. 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.