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The Ordinal Controversy Revisited

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  • Jarl Kampen
  • Marc Swyngedouw

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  • Jarl Kampen & Marc Swyngedouw, 2000. "The Ordinal Controversy Revisited," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(1), pages 87-102, February.
    • Handle: RePEc:spr:qualqt:v:34:y:2000:i:1:p:87-102
    DOI: 10.1023/A:1004785723554
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    References listed on IDEAS

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    1. Hendry, David F. & Learmer, Edward E. & Poirier, Dale J., 1990. "A Conversation on Econometric Methodology," Econometric Theory, Cambridge University Press, vol. 6(02), pages 171-261, June.
    2. Karl Jöreskog, 1994. "On the estimation of polychoric correlations and their asymptotic covariance matrix," Psychometrika, Springer;The Psychometric Society, vol. 59(3), pages 381-389, September.
    3. Mark Davison & Anu Sharma, 1994. "ANOVA and ANCOVA of pre- and post-test, ordinal data," Psychometrika, Springer;The Psychometric Society, vol. 59(4), pages 593-600, December.
    4. Anwer Khurshid & Hardeo Sahai, 1993. "Scales of measurements: An introduction and a selected bibliography," Quality & Quantity: International Journal of Methodology, Springer, vol. 27(3), pages 303-324, August.
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    Cited by:

    1. 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.
    2. 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.
    3. F. Holgado-Tello & M. Carrasco-Ortiz & María Barrio-Gándara & Salvador Chacón-Moscoso, 2009. "Factor analysis of the Big Five Questionnaire using polychoric correlations in children," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(1), pages 75-85, January.
    4. 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.
    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. Pearce, Antony & Pons, Dirk, 2019. "Advancing lean management: The missing quantitative approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.

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