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Wright Maps (Part 3 and Counting...)

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Advances in Rasch Analyses in the Human Sciences

Abstract

Wright Maps have revolutionized how researchers and practitioners evaluate tests and survey and how such information is communicated. This chapter makes use of the two introductory chapters to Wright Maps presented in Rasch Analysis in the Human Sciences (Chap. 6 Wright Maps: First Steps, Chap. 7 Wright Maps: Second Steps). In this chapter, we present summaries of numerous Wright Maps that have been presented in the literature. We provide a commentary of the pros and cons of each presentation technique of each map, and we discuss the strengths and weakness of the manner in which the maps are described in the body of articles as well as through figure captions. Importantly, we present some common errors made by researchers when constructing their Wright Maps and authoring Wright Map figure captions.

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  • 14 October 2020

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References

  • Alisat, S., & Riemer, M. (2015). The environmental action scale: Development and psychometric evaluation. Journal of Environmental Psychology, 43, 13–23.

    Article  Google Scholar 

  • Barthel, D., Barkmann, C., Ehrhardt, S., Schoppen, S., & Bindt, C. (2015). Screening for depression in pregnant women from Côte d′Ivoire and Ghana: Psychometric properties of the Patient Health Questionnaire-9. Journal of Affective Disorders, 187, 232–240.

    Article  Google Scholar 

  • Boon, H. J., & Lewthwaite, B. (2015). Development of an instrument to measure a facet of quality teaching: Culturally responsive pedagogy. International Journal of Educational Research, 72, 38–58.

    Article  Google Scholar 

  • Carter, L., Black, D., Bundy, A., & Williams, W. (2016). Parent perceptions of children’s leisure and the risk of damaging noise exposure. Deafness & Education International, 18(2), 87–102.

    Article  Google Scholar 

  • Dehqan, A., Yadegari, F., Asgari, A., Scherer, R. C., & Dabirmoghadam, P. (2017). Development and validation of an Iranian voice quality of life profile (IVQLP) based on a classic and Rasch rating scale model (RSM). Journal of Voice, 31(1), 113.

    Article  Google Scholar 

  • Enochs, L. G., & Riggs, I. M. (1990). Further development of an elementary science teaching efficacy belief instrument: A preservice elementary scale. School Science and Mathematics, 90(8), 694–706.

    Article  Google Scholar 

  • Fenwick, E. K., Rees, G., Holmes-Truscott, E., Browne, J. L., Pouwer, F., & Speight, J. (2016). What is the best measure for assessing diabetes distress? A comparison of the problem areas in diabetes and diabetes distress scale: Results from diabetes MILES-Australia. Journal of Health Psychology, 23(5), 667–680.

    Article  Google Scholar 

  • Franchignoni, F., Giordano, A., Ferriero, G., Muñoz, S., Orlandini, D., & Amoresan, A. (2007). Rasch analysis of the Locomotor Capabilities Index-5 in people with lower limb amputation. Prosthetics and Orthotics International, 31(4), 394–404.

    Article  Google Scholar 

  • Hallinger, P., & Ko, J. (2015). Education accountability and principal leadership effects in Hong Kong primary schools. Nordic Journal of Studies in Educational Policy, 2015(3). https://doi.org/10.3402/nstep.v1.30150

  • Hassan, W. N. W., Abu Kassim, N. L., Jhawar, A., Shurkri, N. M., Baharin, N. A. K., & Chan, C. S. (2016). User acceptance of a touchless sterile system to control virtual orthodontic study models. American Journal of Orthodontics and Dentofacial Orthopedics, 149(4), 567–578.

    Article  Google Scholar 

  • Henson, S., Blandon, J., & Cranfield, J. (2010). Difficulty of healthy eating: A Rasch model approach. Social Science & Medicine, 70(10), 1574–1580.

    Article  Google Scholar 

  • Ilian, H., Parry, C., & Coloma, J. (2010, May). Rasch measurement for child welfare training evaluators. Presented at the National Human Services & Training Evaluation Symposium, Berkeley, CA.

    Google Scholar 

  • Jeon, Y. H., Liu, Z., Li, Z., Low, L. F., Chenoweth, L., O’Connor, D., et al. (2016). Development and validation of a short version of the Cornell scale for depression in dementia for screening residents in nursing homes. The American Journal of Geriatric Psychiatry, 24(11), 1007–1016.

    Article  Google Scholar 

  • Mahmud, Z., & Porter, A. L. (2015). Using Rasch analysis to explore what students learn about probability concepts. Journal on Mathematics Education, 6(1), 1–10.

    Article  Google Scholar 

  • Malinowsky, C., & Larsson-Lund, M. (2015). The match between everyday technology in public space and the ability of working-age people with acquired brain injury to use it. British Journal of Occupational Therapy, 79(1), 26–34.

    Article  Google Scholar 

  • Patomella, A. H., & Bundy, A. (2015). P-Drive: Implementing an assessment of on-road driving in clinical settings and investigating its internal and predictive validity. American Journal of Occupational Therapy, 69(4), 1–8.

    Article  Google Scholar 

  • Pelch, M. A., & McConnell, D. A. (2016). Challenging instructors to change: A mixed methods investigation on the effects of material development on the pedagogical beliefs of geoscience instructors. International Journal of STEM Education, 3(1), 1–18.

    Article  Google Scholar 

  • Pensavalle, C. A., & Solinas, G. (2013). The Rasch model analysis for understanding mathematics proficiency – A case study: Senior high school Sardinian students. Creative Education, 4(12), 767–773.

    Article  Google Scholar 

  • Sabari, J. S., Woodbury, M., & Velozo, C. A. (2014). Rasch analysis of a new hierarchical scoring system for evaluating hand function on the motor assessment scale for stroke. Stroke Research and Treatment, 2014(2), 1–10.

    Article  Google Scholar 

  • Sinnema, C., Ludlow, L., & Robinson, V. (2016). Educational leadership effectiveness: A Rasch analysis. Journal of Educational Administration, 54(3), 305–339.

    Article  Google Scholar 

  • Sousa, C. S., Turrini, R. N. T., & Poveda, V. D. B. (2015). Educational intervention in patients undergoing orthognathic surgery: Pilot study. Journal of Nursing Education and Practice, 5(5), 126–134.

    Article  Google Scholar 

  • Stelmack, J., Szlyk, J. P., Stelmack, T., Babcock-Parziale, J., Demers-Turco, P., Williams, T., et al. (2004). Use of Rasch person-item map in exploratory data analysis: A clinical perspective. Journal of Rehabilitation Research & Development, 41(2), 233–241.

    Article  Google Scholar 

  • Stonkus, M. A., & Royal, K. D. (2015). Further validation of the inventory of mental toughness factors in sport (IMTF-S). International Journal of Psychological Studies, 7(3), 35–45.

    Article  Google Scholar 

  • Teoh, B. C., Alrasheedy, A. A., Hassali, M. A., Tew, M. M., & Samsudin, M. A. (2015). Perceptions of doctors and pharmacists towards medication error reporting and prevention in Kedah, Malaysia: A Rasch model analysis. Advances in Pharmacoepidemiology and Drug Safety, 4(5). https://doi.org/10.4172/2167-1052.1000192

  • Wells, N., Bronheim, S., Zyzanski, S., & Hoover, C. (2015). Psychometric evaluation of a consumer-developed family-centered care assessment tool. Maternal and Child Health Journal, 19(9), 1899–1909.

    Article  Google Scholar 

  • Wooliscroft, B., Ganglmair-Wooliscroft, A., & Noone, A. (2013). The hierarchy of ethical consumption behavior: The case of New Zealand. Journal of Macromarketing, 34(1), 57–72.

    Article  Google Scholar 

  • Wright, B. D., & Stone, M. H. (1979). Best Test Design. Chicago, IL: Mesa Press.

    Google Scholar 

  • Zain, A. N. M., Samsudin, M. A., Rohandi, R., & Jusoh, A. (2010). Using the Rasch model to measure students’ attitudes toward science in “low performing” secondary schools in Malaysia. International Education Studies, 3(2), 56–63.

    Google Scholar 

Additional Readings

Additional Wright Map Examples

  • Aryadoust, V., & Shahsavar, Z. (2016). Validity of the Persian blog attitude questionnaire: An evidence-based approach. Journal of Modern Applied Statistical Methods, 15(1), 417–451.

    Article  Google Scholar 

  • Bansilal, S. (2015). A Rasch analysis of a grade 12 test written by mathematics teachers. South African Journal of Science, 111(5–6), 1–9.

    Article  Google Scholar 

  • Chen, S., Zhu, X., & Kang, M. (2017). Development and validation of an energy-balance knowledge test for fourth-and fifth-grade students. Journal of Sports Sciences, 35(10), 1004–1011.

    Article  Google Scholar 

  • Daud, N. S. M., Daud, N. M., & Abu Kassim, N. L. (2005). Second language writing anxiety: Cause or effect? Malaysian Journal of ELT Research, 1(1), 1–19.

    Google Scholar 

  • Herrmann-Abell, C., & Deboer, G. (2017). Investigating a learning progression for energy ideas from upper elementary through high school. Journal of Research in Science Teaching, 55(1), 68–93.

    Article  Google Scholar 

  • Holmefur, M. M., & Krumlinde-Sundholm, L. (2016). Psychometric properties of a revised version of the Assisting Hand Assessment (Kids-AHA 5.0). Developmental Medicine & Child Neurology, 58(6), 618–624.

    Article  Google Scholar 

  • Kozusznik, M. W., Peiró, J. M., Lloret, S., & Rodriguez, I. (2015). Hierarchy of eustress and distress: Rasch calibration of the Valencia eustress-distress appraisal scale. Central European Journal of Management, 2(1–2), 67–79.

    Google Scholar 

  • Ludlow, L. H., Enterline, S. E., & Cochran-Smith, M. (2008). Learning to teach for social justice-beliefs scale: An application of Rasch measurement principles. Measurement and Evaluation in Counseling and Development, 40(4), 194–214.

    Article  Google Scholar 

  • Moral, F. J., Rebollo, F. J., Paniagua, M., & Murillo, M. (2014). Using an objective and probabilistic model to evaluate the impact of different factors in the dehesa agroforestry ecosystem. Ecological Indicators, 46, 253–259.

    Article  Google Scholar 

  • Ning, H. K. (2017). A psychometric evaluation of the achievement goal questionnaire – Revised in Singapore secondary students. Journal of Psychoeducational Assessment, 35(4), 424–436.

    Article  Google Scholar 

  • Oliveira, Í. M., Taveira, M. D. C., Cadime, I., & Porfeli, E. J. (2016). Psychometric properties of a career exploratory outcome expectations measure. Journal of Career Assessment, 24(2), 380–396.

    Article  Google Scholar 

  • Pesudovs, K., Garamendi, E., Keeves, J. P., & Elliott, D. (2003). The activities of daily vision scale for cataract surgery outcomes: Re-evaluating validity with Rasch analysis. Investigative Ophthalmology & Visual Science, 44(7), 2892–2899.

    Article  Google Scholar 

  • Wang, Y. C., Cook, K. F., Deutscher, D., Werneke, M. W., Hayes, D., & Mioduski, J. E. (2015). The development and psychometric properties of the patient self-report neck functional status questionnaire (NFSQ). Journal of Orthopaedic & Sports Physical Therapy, 45(9), 683–692.

    Article  Google Scholar 

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Boone, W.J., Staver, J.R. (2020). Wright Maps (Part 3 and Counting...). In: Advances in Rasch Analyses in the Human Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-43420-5_16

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  • DOI: https://doi.org/10.1007/978-3-030-43420-5_16

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-43420-5

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