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Tackling measurement problems with Item Response Theory: Principles, characteristics, and assessment, with an illustrative example

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  • Singh, Jagdip

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  • Singh, Jagdip, 2004. "Tackling measurement problems with Item Response Theory: Principles, characteristics, and assessment, with an illustrative example," Journal of Business Research, Elsevier, vol. 57(2), pages 184-208, February.
  • Handle: RePEc:eee:jbrese:v:57:y:2004:i:2:p:184-208
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    1. Ford, Neil M. & Walker, Orville Jr. & Churchill, Gilbert Jr., 1975. "Expectation-specific measures of the intersender conflict and role ambiguity experienced by industrial salesmen," Journal of Business Research, Elsevier, vol. 3(2), pages 95-112, April.
    2. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    3. R. Bock & Murray Aitkin, 1981. "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 443-459, December.
    4. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    5. Fumiko Samejima, 1977. "Weakly parallel tests in latent trait theory with some criticisms of classical test theory," Psychometrika, Springer;The Psychometric Society, vol. 42(2), pages 193-198, June.
    6. R. Darrell Bock, 1972. "Estimating item parameters and latent ability when responses are scored in two or more nominal categories," Psychometrika, Springer;The Psychometric Society, vol. 37(1), pages 29-51, March.
    7. Gerhard Fischer, 1995. "Some neglected problems in IRT," Psychometrika, Springer;The Psychometric Society, vol. 60(4), pages 459-487, December.
    8. David Thissen, 1982. "Marginal maximum likelihood estimation for the one-parameter logistic model," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 175-186, June.
    9. David Thissen & Lynne Steinberg, 1986. "A taxonomy of item response models," Psychometrika, Springer;The Psychometric Society, vol. 51(4), pages 567-577, December.
    10. Jinming Zhang & William Stout, 1999. "The theoretical detect index of dimensionality and its application to approximate simple structure," Psychometrika, Springer;The Psychometric Society, vol. 64(2), pages 213-249, June.
    11. Eric Bradlow & Howard Wainer & Xiaohui Wang, 1999. "A Bayesian random effects model for testlets," Psychometrika, Springer;The Psychometric Society, vol. 64(2), pages 153-168, June.
    12. Charles Lewis, 1986. "Test theory and psychometrika: The past twenty-five years," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 11-22, March.
    13. Jackson, Susan E. & Schuler, Randall S., 1985. "A meta-analysis and conceptual critique of research on role ambiguity and role conflict in work settings," Organizational Behavior and Human Decision Processes, Elsevier, vol. 36(1), pages 16-78, August.
    14. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
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    3. Liu, Jing & Lin, Hua & Hu, Bing & Zhou, Zixiong & Agyeiwaah, Elizabeth & Xu, Ye, 2022. "Advancing the understanding of the resident pro-tourism behavior scale: An integration of item response theory and classical test theory," Journal of Business Research, Elsevier, vol. 141(C), pages 113-125.
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    7. Silvana Bortolotti & Rafael Tezza & Dalton Andrade & Antonio Bornia & Afonso Sousa Júnior, 2013. "Relevance and advantages of using the item response theory," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2341-2360, June.
    8. Jan Ketil Arnulf & Kai R. Larsen & Øyvind L. Martinsen, 2018. "Respondent Robotics: Simulating Responses to Likert-Scale Survey Items," SAGE Open, , vol. 8(1), pages 21582440187, March.
    9. Ganglmair-Wooliscroft, Alexandra & Wooliscroft, Ben, 2022. "An investigation of sustainable consumption behavior systems – Exploring personal and socio-structural characteristics in different national contexts," Journal of Business Research, Elsevier, vol. 148(C), pages 161-173.
    10. Sarstedt, Marko & Diamantopoulos, Adamantios & Salzberger, Thomas & Baumgartner, Petra, 2016. "Selecting single items to measure doubly concrete constructs: A cautionary tale," Journal of Business Research, Elsevier, vol. 69(8), pages 3159-3167.
    11. Maud Dampérat & Ping Lei & Florence Jeannot, 2019. "IRT Approach for rating scales: applications for normal and non-normal distributions," Post-Print hal-04325043, HAL.
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    13. de Jong, M.G., 2006. "Response bias in international marketing research," Other publications TiSEM 5d4031be-97b5-4db3-962b-2, Tilburg University, School of Economics and Management.
    14. Salim Moussa, 2016. "A two-step item response theory procedure for a better measurement of marketing constructs," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(1), pages 28-50, March.
    15. Salzberger, Thomas & Newton, Fiona J. & Ewing, Michael T., 2014. "Detecting gender item bias and differential manifest response behavior: A Rasch-based solution," Journal of Business Research, Elsevier, vol. 67(4), pages 598-607.
    16. Ofir Turel & Yufei Yuan, 2007. "User Acceptance of Web-Based Negotiation Support Systems: The Role of Perceived Intention of the Negotiating Partner to Negotiate Online," Group Decision and Negotiation, Springer, vol. 16(5), pages 451-468, September.
    17. Leonard Paas & Klaas Sijtsma, 2008. "Nonparametric item response theory for investigating dimensionality of marketing scales: A SERVQUAL application," Marketing Letters, Springer, vol. 19(2), pages 157-170, June.
    18. Ganglmair-Wooliscroft, Alexandra & Wooliscroft, Ben, 2016. "Diffusion of innovation: The case of ethical tourism behavior," Journal of Business Research, Elsevier, vol. 69(8), pages 2711-2720.
    19. Knoppen, Desirée & Saris, Willem & Moncagatta, Paolo, 2022. "Absorptive capacity dimensions and the measurement of cumulativeness," Journal of Business Research, Elsevier, vol. 139(C), pages 312-324.

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