The Usefulness of the Rasch Model for the Refinement of Likert Scale Questionnaires

References

• Andrich, D. (1978). Rating formulation for ordered categories. Psychometrika, 43, 561–573. doi: 10.1007/BF02293814
   Web of Science ®Google Scholar
• Andrich, D. (1982). An index of person separation in latent trait theory, the traditional KR.20 index, and the Guttman scale response pattern. Education Research and Perspectives, 9, 95–104.
   Google Scholar
• Andrich, D., De Jong, J., & Sheridan, B. (1997). Diagnostic opportunities with the Rasch model for ordered response categories, In J. Rost & R. Langeheine (Eds.), Applications of latent trait and latent class models in the social sciences (pp. 58–68). Mu¨nster, Germany: Waxman Verlag.
   Google Scholar
• Blalock, C., Lichtenstein, M., Owen, S., Pruski, L., Marshall, C., & Toepperwein, M. (2008). In pursuit of validity: A comprehensive review of science attitude instruments 1935-2005. International Journal of Science Education, 30(7), 961–977. doi: 10.1080/09500690701344578
   Web of Science ®Google Scholar
• Boone, W., & Rogan, J. (2005). Rigour in quantitative analysis: The promise of Rasch analysis techniques. African Journal of Research in Mathematics, Science and Technology Education, 9(1), 25–38.
   Google Scholar
• Boone, W., & Scantlebury, K. (2006). The role of Rasch analysis when conducting science education research utilizing multiple-choice tests. Science Education, 90(2), 253–269. doi: 10.1002/sce.20106
   Web of Science ®Google Scholar
• Busch, M. (1993). Using Likerst scales in L2 research: A researcher comments. TESO Quarterly, 27(4), 733–736. doi: 10.2307/3587408
   Web of Science ®Google Scholar
• Calingha, R., & Bond, T. (2006). Research in Mathematics education and Rasch measurement. Mathematics Education Research Journal, 18(2), 1–10. doi: 10.1007/BF03217432
   Google Scholar
• Cronbach, L. J. (1946). Response sets and test validity. Educational and Psychological Measurement, 6(4), 475–494.
   Web of Science ®Google Scholar
• Frisbie, D. A. (1988). Reliability of scores from teacher-made tests. Educational Measurement: Issues and Practice, 7(1), 25–35. doi: 10.1111/j.1745-3992.1988.tb00422.x
   Google Scholar
• Henderleiter, J., & Pringle, D. (1999). Chemical education research – effects of context-based laboratory experiments on attitudes of analytical chemistry students. Journal of Chemical Education, 76(1), 100–106. doi: 10.1021/ed076p100
   Web of Science ®Google Scholar
• Hofstein, A., & Lunetta, V.N. (2004). The laboratory in science education: Foundations for the twenty-first century. Science Education, 88, 28–54. doi: 10.1002/sce.10106
   Web of Science ®Google Scholar
• Huntley, B., Engelbrecht, J., & Harding, A. (2009). Can multiple choice questions be successfully used as an assessment format in undergraduate Mathematics? Pythagoras, 69, 3–16.
   Google Scholar
• Johnstone, A. H. (2000). Teaching of Chemistry – logical or psychological? Chemistry Education: Research and Practice in Europe, 1(1), 9–15. doi: 10.1039/a9rp90001b
   Google Scholar
• Julie, C., Holtman, L., & Mbekwa, M. (2011). Rasch modelling of Mathematics and Science teachers' preferences of real-life situations to be used in Mathematical literacy. Pythagoras, 32(1), 30–38. doi: 10.4102/pythagoras.v32i1.13
   Google Scholar
• Likert, R. (1932). A technique for the measurement of attitude scales. Archives of Psychology, 22(140), 5–53.
   Google Scholar
• Long, C. (2009). From whole number to real number: Applying Rasch measurement to investigate threshold concepts. Pythagoras, 70, 32–42.
   Google Scholar
• Masters, G. (1982). Rasch model for partial credit scoring. Psychometrika, 47,149–174. doi: 10.1007/BF02296272
   Web of Science ®Google Scholar
• Masters, G. N. (1988). Item discrimination: When more is worse. Journal of Educational Measurement, 25, 15–29. doi: 10.1111/j.1745-3984.1988.tb00288.x
   Web of Science ®Google Scholar
• McKelvie, S. (1978). Graphic rating scales – How many categories? British Journal of Psychology, 69, 185–202. doi: 10.1111/j.2044-8295.1978.tb01647.x
   Web of Science ®Google Scholar
• McMillan, J. H., & Schumacher, S. (2010). Research in education, evidence-based inquiry (7th ed.). Upper Saddle River, NJ: Pearson.
   Google Scholar
• Neumann, I., Neumann, K., & Nehm, R. (2011). Evaluating instrument quality in science education: Rasch‐based analyses of a nature of science test. International Journal of Science Education, 33(10), 1373–1405. doi: 10.1080/09500693.2010.511297
   Web of Science ®Google Scholar
• Potgieter, M., Davidowitz, B., & Venter, E. (2008). Assessment of preparedness of first-year chemistry students: Development and application of an instrument for diagnostic and placement purposes. African Journal of Research in Mathematics, Science and Technology Education, 12, 1–18.
   Google Scholar
• Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Chicago: University of Chicago Press.
   Google Scholar
• Smith, R., & Plackner, C. (2009). The Family Approach to assessing fit in Rasch measurement. Journal of Applied Measurement, 10(4), 424–437.
   PubMedGoogle Scholar
• Tennant, A., McKenna, S. P., & Hagell, P. (2004). Application of Rasch analysis in the development and application of quality of life instruments. Value in Health, 7(supplement 1), S22–S26.
   Google Scholar
• Tennant, A., & Conaghan, P. (2007). The Rasch measurement model in rheumatology: What is it and why use it? When should it be applied, and what should one look for in a Rasch paper? Arthritis Care & Research, 57(8), 1358–1362. doi: 10.1002/art.23108
   Web of Science ®Google Scholar
• Van de Grift, W., & Van der Wal, M. (2010). Measuring the development of professional competence among teachers. Retrieved 17 August 2012 from http://www.icsei.net/icsei2011/Full%20Papers/0127_A.pdf.
   Google Scholar