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A Likert-type Data Analysis Using the Partial Credit Model

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Authors
Baek, Sun-Geun
Issue Date
1994
Publisher
서울대학교 교육종합연구원
Citation
SNU Journal of Education Research, Vol.4, pp. 111-125
Keywords
111-125
Description
1994
Abstract
This study is about examining the possibility of using the partial credit model to solve several problems that occur when we analyze and interpret Likert-type data by traditional methods. The problems are as follows: (i) scores are not directly interpretable and must be examined in the light of a criterion group; (ii) the absence of a zero point handicaps the direct use of individual scores; and (iii) the adequacy of integer scoring, resting upon the Validity of the assumption of equal distances between response categories, is not often verified. This study shows that the partial credit model (PCM) solves these problems. In addition, the PCM provides several advantages in the analysis and interpretation for Likert-type data (e.g., item response maps, person and item fit statistics). The PCM also might help to implement the computerized adaptive testing for Likert-type scales.
ISSN
1225-5335
Language
English
URI
http://hdl.handle.net/10371/72453
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College of Education (사범대학)Center for Educational Research (교육종합연구원)SNU Journal of Education ResearchSNU Journal of Education Research vol.04 (1994)
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