2013
DOI: 10.4300/jgme-5-4-18
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Analyzing and Interpreting Data From Likert-Type Scales

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Cited by 1,651 publications
(1,081 citation statements)
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“…The sum total for all response-options produced a summative Likert score for that question. The summative Likert score was then divided by the total number of respondents to that question to produce an Agreement Score (weighted average ranging from "1" meaning that respondents strongly agree to that question down to "0" meaning that the respondents strongly disagree to that question) [8] [9] [10]. The scoring system was reversed for negative questions.…”
Section: Resultsmentioning
confidence: 99%
“…The sum total for all response-options produced a summative Likert score for that question. The summative Likert score was then divided by the total number of respondents to that question to produce an Agreement Score (weighted average ranging from "1" meaning that respondents strongly agree to that question down to "0" meaning that the respondents strongly disagree to that question) [8] [9] [10]. The scoring system was reversed for negative questions.…”
Section: Resultsmentioning
confidence: 99%
“…Second, this study assessed respondent feelings in an ordinal scale using the Liker-type assessment. Some researchers argue respondent attitudes need to be measured as interval data because one cannot assume that the distance between responses is equivalent [22,23]. Future study is warranted for more in-depth understanding of candidate perceptions by using a qualitative research method to enhance the validity of our findings.…”
Section: Discussionmentioning
confidence: 99%
“…Descriptive and analytic data for Likert-type survey responses for one cohort of first year medical students is presented in Table 2, and Table 3 depicts that same data for the same cohort at the end of the second year of medical school. Consistent with principles articulated by Sullivan and Artino (2013) and Norman (2010), this analysis incorporates some statistical procedures once reserved exclusively for parametric data. Propensity for students to recommend their initiatives to new students.…”
Section: Student Evaluationsmentioning
confidence: 99%