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Detection Careles From Responden Within Examination Outlier Data Identifying Respondent's Carelessness Within The Outlier Data
[Full Text]
AUTHOR(S)
Iwan Gunawan, Amin Kuncoro, Heru Yulianto
KEYWORDS
Rasch model and replicable
ABSTRACT
This research examined data of the selected respondents of 300 students majoring in management by processing instrument tests and identifying primary data from the possibility of respondents’ carelessness in filling in the questionnaire. This study applied data analysis technique of Mehanolibis test in order to diminish bias results of the questionnaire. The use of questionnaires for this quantitative research is to answer and describe the extent to which the respondent answers with responsibility or only perfunctory. The researcher uses Rasch model in an attempt to acquire a more accurate result compares to any other models. Rasch model assists researcher to obtain a maximum result even to the level of person correlation since it generates a more replicable one. Instrument testing and validation are inevitable and essential elements before stepping into inferential statistics that seeks to acquire an answer to the proposed research question.
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