Open Access
MATEC Web of Conferences
Volume 150, 2018
Malaysia Technical Universities Conference on Engineering and Technology (MUCET 2017)
Article Number 06044
Number of page(s) 4
Section Information & Communication Technology (ICT), Science (SCI) & Mathematics (SM)
Published online 27 March 2018
  1. Andrich, D. (1982). An Index of Person Separation in latent Trait Theory, the traditional KR-20 Index, and the Guttmen Scale Response Pattern, Education Research and Perspectives, 9(1), 95–104. [Google Scholar]
  2. Andrich, D. (1988). Rasch Models for Measurement, Newbury Park, CA: SAGE. [CrossRef] [Google Scholar]
  3. Ary, D., Jacobs, L.C. & Razavieh, A. (2002). Introduction for research in education. Sixth Edition. Wadsworth Thomson Learning. [Google Scholar]
  4. Azrilah, A.A. (2010). Rasch Model Fundamentals: Scale Construct and Measurement structure, Perpustakaan Negara Malaysia, Kuala Lumpur. [Google Scholar]
  5. Bell, R.C. (1982). Person Fit and Person Reliability, Education Research and Perspectives, 9(1), 105–113 [Google Scholar]
  6. Bond, T.G. & Fox, C.M. (2007). Applying the Rasch Model : Fundamental measurement in the Human Sciences. Second Edition [Google Scholar]
  7. Boone, W.J. & Scantlebury, K. (2005). The role of Rasch Analysis when conducting science education research utilizing multiple-choice tests. Wiley InterScience,, DOI 10.1002/sce.20106. [Google Scholar]
  8. Fisher, Jr., W.P. (2000). Theory, Instrumentation and Data, Rasch Measurement Transactions, 14(3), 760 [Google Scholar]
  9. Fisher, W.P., Jr. (2007). Rating Scale Instrument Criteria Quality Criteria. Rasch Measurement Transactions, 21(1), 1095 [Google Scholar]
  10. Fisher, Jr., W.P. (2008). The Cash Value of Reliability, Rasch Measurement Transactions, 22(1), 1158–1160. [Google Scholar]
  11. Fisher, Jr., W.P. (2010). The standard Model in the history of the Natural sciences, Econometrics, and the social sciences, Journal of Physics: Conference Series, 238 (2010) 012016. [CrossRef] [Google Scholar]
  12. Fisher, Jr., W.P., Elbaum, B. & Coulter, A. (2010). Reliability, Precision, and Measurement in the Context of data from Ability Tests, Surveys, and Assessments, Journal of Physics: Conference Series, 238 (2010) 012036. [CrossRef] [Google Scholar]
  13. Garson, G.D.1998. Reliability analysis. Available at [Google Scholar]
  14. Gliem, J. A., & Gliem, R. R. (2003). Calculating, Interpreting, and Reporting Cronbach's Alpha Reliability Coefficient for Likert-Type Scales. Paper presented at the Midwest Research to Practice Conference in Adult, Continuing, and Community Education, Columbus, OH. [Google Scholar]
  15. Leedy, P. D., & Ormrod, J. E. (2005). Practical research: Planning and design (8th ed.). New Jersey: Prentice Hall. [Google Scholar]
  16. Linacre, J.M. & Wright, B.D. (1994). (Dichotomous Mean-Square) Chi-square Fit Statistics, Rasch Measurement Transactions, 8(2), 360–363. [Google Scholar]
  17. Linacre, J.M. (1994). Sample Size and Item Calibration (or Person Measure) Stability, Rasch Measurement Transactions, 7(4), 328. [Google Scholar]
  18. Linacre, J.M. (1996). True-score Reliability or Rasch Statistical Validity?, Rasch Measurement Transactions, 9(4), 455. [Google Scholar]
  19. Linacre, J.M. (1997). KR-20 or Rasch Reliability: Which Tells the “Truth”, Rasch Measurement Transactions, 11(3). [Google Scholar]
  20. Linacre, J.M. (2001). Generalizability Theory and Rasch Measurement, Rasch Measurement Transactions, 15(1), 806–807. [Google Scholar]
  21. Linacre, J.M. (2002). What do Infit and Outfit, Mean-Square and Standardized Mean?, Rasch Measurement Transactions, 16(2), 878–879. [Google Scholar]
  22. Linacre, J.M. (2003). Rasch Power Analysis: Size vs. Significance Chi-Square Fit Statistic, Rasch Measurement Transactions, 17(1), 918–919. [Google Scholar]
  23. Linacre, J.M. (2006). A User's Guide to WINSTEPS® MINISTEP Rasch-Model Computer Programs - Program Manual 3.68.0. [Google Scholar]
  24. Linacre, J.M. (2007). Standard Errors and Reliabilities: Rasch and Raw Score, Rasch Measurement Transactions, 20(4), 1086. [Google Scholar]
  25. Linacre, J.M. (2008). The Expected Value of a point-Biserial (or Similar) Correlation, Rasch Measurement Transactions, 22(1), 1154. [Google Scholar]
  26. Onwuegbuzie, A.J. & Daniel, L. (2002). Uses and misuses of the correlation coefficient. Research in the Schools, 9, 73–90. [Google Scholar]
  27. Pagani, L. & Zanarotti, M.C. (2010). Some Uses of Rasch Models Parameters in Customer Satisfaction Data Analysis. Quality Technology & Quantitative Management, 7(1), 83–95, 2010. [CrossRef] [Google Scholar]
  28. Pallant, J.F., Miller, R.L. & Tennant, A. (2006). Evaluation of the Edinburgh Post Natal Depression Scale using Rasch Analysis. BMC Psychiatry, 28(6). [Google Scholar]
  29. Reckase, M.D. (1979). Unifactor latent trait models applied to multifactor tests: Results and implications. Journal of Educational Statistics, 4, 207–230. [CrossRef] [Google Scholar]
  30. Salzberger, T. & Sinkovics, R.R. (2006). Reconsidering the problem of data equivalence in international marketing research - Contrasting approaches based on CFA and the Rasch model for measurement. International Marketing Review, 23(4), 390–417. [CrossRef] [Google Scholar]
  31. Sekaran, U. (2003). Research Methods For Business: A Skill Building Approach. Fourth Edition. John Wiley & Sons, Inc. [Google Scholar]
  32. Sick, J. (2011). Rasch Measurement and Factor Analysis, SHIKEN : JALT Testing & Evaluation SIG Newsletter, 15(1) March 2011, 15–17 [Google Scholar]
  33. Tennant, A. & Pallant, J.F. (2006). Unidimensionality matters (A tale of two Smiths?). Rasch Measurement Transaction, 20(1) Summer 1048–1051 [Google Scholar]
  34. Yen, W.M. (1984). Effects of Local Item Dependence on the Fit and Equating Performance of the Three-Parameter Logistic Model, Applied Psychological Measurement, 8, 125–145. [CrossRef] [Google Scholar]
  35. Yen, W.M. (1993). Scaling Performance Strategies for Managing Local Item Dependence, Journal of Educational Measurement, 30(3), Performance Assessment (Autumn, 1993) 187–213 [CrossRef] [Google Scholar]
  36. Wright, B.D. (1977). Solving measurement problems with the Rasch Model. Journal Of Educational Measurement, 14(2), 97–116. [CrossRef] [Google Scholar]
  37. Wright, B.D. (1996). Local dependency, correlations and principal components. Rasch Measurement Transactions, 10(3), 509–511. [Google Scholar]
  38. Wright, B.D. (1997). Measurement for social science and education - A history of social science measurement. [Google Scholar]
  39. Wright, B.D. (1999). Common sense for measurement. Rasch Measurement Transactions, 13(3), 704. [Google Scholar]
  40. Wright, B.D., Perkins, K. & Dorsey, J.K. (2000). Rasch measurement instead of regression. Multiple Linear Regression Viewpoints, 26(2), 36–41. [Google Scholar]
  41. Zenisky, A. L., Hambelton, R. K. & Sireci, S. G. (2003). Effects of local item dependence on the validity of IRT item, test and ability statistics. Association of American Medical Colleges (AAMC). aph5.pdf. [Google Scholar]
  42. Zikmund W., Babin, B., Carr. J. & Griffin, M. (2010). Business research methods (8th ed.). South-Western: Cengage Learning. [Google Scholar]

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