IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v38y2009i2p306-347.html

A Conceptual Framework for Ordered Logistic Regression Models

Author

Listed:
  • Andrew S. Fullerton

    (Oklahoma State University, Stillwater, andrew.fullerton@okstate.edu)

Abstract

Ordinal-level measures are very common in social science research. Researchers often analyze ordinal dependent variables using the proportional odds logistic regression model. However, this ‘‘traditional’’ method is one of many different types of logistic regression models available for the analysis of ordered response variables. In this article, the author identifies 12 distinct models that rely on logistic regression and fit within a framework of three major approaches with variations within each approach based on the application of the proportional odds assumption. This typology provides a degree of conceptual clarity that is missing in the extant literature on logistic regression models for ordinal outcomes. The author illustrates the similarities and differences among the different models with examples from the General Social Survey and the American National Election Study.

Suggested Citation

  • Andrew S. Fullerton, 2009. "A Conceptual Framework for Ordered Logistic Regression Models," Sociological Methods & Research, , vol. 38(2), pages 306-347, November.
    • Handle: RePEc:sae:somere:v:38:y:2009:i:2:p:306-347
    DOI: 10.1177/0049124109346162
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124109346162
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124109346162?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
    ---><---

    References listed on IDEAS

    as
    1. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    2. James H. Albert & Siddhartha Chib, 2001. "Sequential Ordinal Modeling with Applications to Survival Data," Biometrics, The International Biometric Society, vol. 57(3), pages 829-836, September.
    3. Stefan Boes & Rainer Winkelmann, 2004. "Income and Happiness: New Results from Generalized Threshold and Sequential Models," SOI - Working Papers 0407, Socioeconomic Institute - University of Zurich.
    4. Bercedis Peterson & Frank E. Harrell, 1990. "Partial Proportional Odds Models for Ordinal Response Variables," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(2), pages 205-217, June.
    5. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LLC, vol. 6(1), pages 58-82, March.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, January.
    7. Kahn, Lawrence M & Morimune, Kimio, 1979. "Unions and Employment Stability: A Sequential Logit Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(1), pages 217-235, February.
    8. Regina P. Branton & Bradford S. Jones, 2005. "Reexamining Racial Attitudes: The Conditional Relationship Between Diversity and Socioeconomic Environment," American Journal of Political Science, John Wiley & Sons, vol. 49(2), pages 359-372, April.
    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. Bouscasse, Hélène & Joly, Iragaël & Peyhardi, Jean, 2019. "A new family of qualitative choice models: An application of reference models to travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 74-91.
    2. Gregory Chingala & Cletos Mapiye & Emiliano Raffrenato & Louw Hoffman & Kennedy Dzama, 2017. "Determinants of smallholder farmers’ perceptions of impact of climate change on beef production in Malawi," Climatic Change, Springer, vol. 142(1), pages 129-141, May.
    3. Nandan Kumar Jha & Elizabeth M. Stearns, 2018. "Race-Specific High School Course Intensity and Student’s Post-secondary Education Attainment," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(6), pages 765-791, September.
    4. Zafer Sonmez, 2018. "Interregional inventor collaboration and the commercial value of patented inventions: evidence from the US biotechnology industry," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 399-438, September.
    5. Diana Traikova & Tatiana S. Manolova & Judith Möllers & Gertrud Buchenrieder, 2017. "Corruption Perceptions And Entrepreneurial Intentions In A Transitional Context–The Case Of Rural Bulgaria," Journal of Developmental Entrepreneurship (JDE), World Scientific Publishing Co. Pte. Ltd., vol. 22(03), pages 1-21, September.
    6. Markovic, Milan & Plickert, Gabriele, 2019. "The paradox of minority attorney satisfaction," International Review of Law and Economics, Elsevier, vol. 60(C).
    7. Steinhorst, M.P. & Empl, J.-B. & Bahrs, E., . "Interdependenzen zwischen Risikoeinstellungen und Entscheidungen in der Planung sowie im Betrieb von Biogasanlagen," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 50.
    8. Ferrer-Rosell, Berta & Martínez-Garcia, Esther & Coenders, Germà, 2014. "Package and no-frills air carriers as moderators of length of stay," Tourism Management, Elsevier, vol. 42(C), pages 114-122.
    9. Leise Kelli de Oliveira & Bruno Vieira Bertoncini & Carla de Oliveira Leite Nascimento & Lara Braide Rocha & Larissa Almeida Matias de Lima Batista & Leonardo Ventorim Cellin, 2019. "Factors Affecting the Choice of Urban Freight Vehicles: Issues Related to Brazilian Companies," Sustainability, MDPI, vol. 11(24), pages 1-11, December.
    10. Lui, Zhi Jing & Elliott, John M. & Koh, Chee Wan & Tan, Jacky Chin Gee & Liu, Denise & Teo, Cuthbert Eng Swee, 2019. "Public perceptions of child maltreatment in Singapore: Differences between 1994 and 2010," Children and Youth Services Review, Elsevier, vol. 98(C), pages 261-268.

    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. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    2. Dong Hee Suh & Hayk Khachatryan & Alicia Rihn & Michael Dukes, 2017. "Relating Knowledge and Perceptions of Sustainable Water Management to Preferences for Smart Irrigation Technology," Sustainability, MDPI, vol. 9(4), pages 1-21, April.
    3. D'Alberto, R. & Targetti, S. & Schaller, L. & Bartolini, F. & Eichhorn, T. & Haltia, E. & Harmanny, K. & Le Gloux, F. & Nikolov, D. & Runge, T. & Vergamini, D. & Viaggi, D., 2024. "A European perspective on acceptability of innovative agri-environment-climate contract solutions," Land Use Policy, Elsevier, vol. 141(C).
    4. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    5. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1109-1139, August.
    6. William Magee, 2023. "Earnings, Intersectional Earnings Inequality, Disappointment in One’s Life Achievements and Life (Dis)satisfaction," Journal of Happiness Studies, Springer, vol. 24(1), pages 373-396, January.
    7. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
    8. Isphording, Ingo E. & Otten, Sebastian, 2014. "Linguistic barriers in the destination language acquisition of immigrants," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 30-50.
    9. Hanna Dudek & Joanna Landmesser, 2012. "Income satisfaction and relative deprivation," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(2), pages 321-334, June.
    10. Bachmann, Kremena & Meyer, Julia & Krauss, Annette, 2024. "Investment motives and performance expectations of impact investors," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    11. Ross, Kara L. & Amanor-Boadu, Vincent, 2010. "They Say That They Are Healthy, But Are They? Health Perceptions In The U.S," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116438, European Association of Agricultural Economists.
    12. Frondel, Manuel & Simora, Michael & Sommer, Stephan, 2017. "Risk Perception of Climate Change: Empirical Evidence for Germany," Ecological Economics, Elsevier, vol. 137(C), pages 173-183.
    13. Olivier Chanel & Pavitra Paul, 2022. "Do differences in brute luck influence preferences for redistribution in favour of the environment and health?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
    14. Dusanee Kesavayuth & Robert Rosenman & Vasileios Zikos, 2013. "Does Personality Affect how People Perceive their Health?," Working Papers 2013-13, School of Economic Sciences, Washington State University.
    15. Andor, Mark A. & Schmidt, Christoph M. & Sommer, Stephan, 2018. "Climate Change, Population Ageing and Public Spending: Evidence on Individual Preferences," Ecological Economics, Elsevier, vol. 151(C), pages 173-183.
    16. Elvire Guillaud, 2008. "Preferences for redistribution: a European comparative analysis," PSE Working Papers halshs-00586260, HAL.
    17. Tutz, G. & Berger, M., 2017. "Separating location and dispersion in ordinal regression models," Econometrics and Statistics, Elsevier, vol. 2(C), pages 131-148.
    18. Wolfgang Hess & Maria Persson, 2012. "The duration of trade revisited," Empirical Economics, Springer, vol. 43(3), pages 1083-1107, December.
    19. Christina Bräuning & Ralf Fendel, 2018. "National information and euro area monetary policy: a generalized ordered choice approach," Empirical Economics, Springer, vol. 54(2), pages 501-522, March.
    20. Simon Cheng & J. Scott Long, 2007. "Testing for IIA in the Multinomial Logit Model," Sociological Methods & Research, , vol. 35(4), pages 583-600, May.

    More about this item

    Keywords

    ;
    ;

    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:sae:somere:v:38:y:2009:i:2:p:306-347. 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: SAGE Publications (email available below). General contact details of provider: .

    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.