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CPS2056 Nurul Hafizah Azizan et al.
               effort by examining the effect of scale format (either anchor labels or end
               points labels) on the reliability of Likert‐type rating scales. As mentioned in
               previous studies, the findings of this study also revealed that few response
               categories tended to result in lower test‐retest reliability. Besides, scale format
               significantly  affects  the  performance  of  measurement  instrument,  with  the
               scales  with  end  points  labelled  were  likely  to  produce  lower  test‐retest
               reliability rather than the scales with all the response options clearly labelled.
               The use of graphic or visual rating scale also had important implication on
               survey  research  especially  with  children  as  respondents.  Cremeens  (2007)
               yielded important findings as the results suggested that among three types of
               rating  scale (categorical  scale,  faces and  thermometer),  categorical  scale  is
               more preferable to be used for the items measuring ability factors while faces
               scale  is  found  to  be  more  effective  to  be  used  for  items  assessing  social
               construct in order to improve measurement instrument reliability.

               4.  Conclusion
                   From the review, it is found that the rating scales used has a significant
               effect on the quality of measurement instrument used for the survey. These
               include number of response alternatives, format and labels of rating scales
               used. Apart from that, it is also important to study the effect using a central
               category such as “neutral” response and to examine the interaction between
               the  number  of  response  categories  and  items  used  for  future  research.  In
               addition, it is suggested to examine whether the type of psychometric model
               used gives a significant implication on the findings obtained.

               References
               1.  Allahyari, E., Jafari, P., & Bagheri, Z. (2016). A Simulation Study to Assess
                   the Effect of the Number of Response Categories on the Power of
                   Ordinal Logistic Regression for Differential Item Functioning Analysis in
                   Rating Scales. Computational and Mathematical Methods in Medicine,
                   2016.
               2.  Alwin, D. F. (1997). Feeling thermometers versus 7-point scales: Which are
                   better? Sociological Methods & Research, 25(3), 318–340.
               3.  Boynton, P. M. (2004). Administering, analysing, and reporting your
                   questionnaire. British Medical Journal, 328(7452), 1372–1375.
               4.  Cicchetti, D., Showalter, D., & Tyrer, P. (1985). The effect of number of
                   rating scle categories on levels of interrater reliability: A monte carlo
                   investigation. Applied Psychol Measure, 9(1), 31– 36.
               5.  Cremeens, J., Eiser, C., & Blades, M. (2007). Brief report: Assessing the
                   impact of rating scale type, types of items, and age on the measurement
                   of school-age children’s self-reported quality of life. Journal of Pediatric
                   Psychology, 32(2), 132–138.

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