Cochran’s Q with Pairwise McNemar for Dichotomous Multiple Responses Data: a Practical Approach
Autor: | Ahmad Zaidi Adruce Shahren, Stephen Donald |
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Rok vydání: | 2018 |
Předmět: |
Environmental Engineering
Computer science 020209 energy General Chemical Engineering General Engineering 02 engineering and technology Test (assessment) Set (abstract data type) symbols.namesake Bonferroni correction McNemar's test Hardware and Architecture Simulated data Respondent Post-hoc analysis Statistics 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) symbols Pairwise comparison Biotechnology |
Zdroj: | International Journal of Engineering & Technology. 7:4 |
ISSN: | 2227-524X |
DOI: | 10.14419/ijet.v7i3.18.16662 |
Popis: | When utilizing single-response questions for a survey, researchers often overlook the possibility that an item can have a smorgasbord of viable answers. It results in the loss of information as it forces the respondents to select a best-of-fit option. A multiple-responses question allows the respondent to select any number of answers from a set of preformatted options. The ability to capture a flexible number of responses allows collectively exhaustive concepts to manifest for deductive verification. This paper explores the practical use of Cochran’s Q test and pairwise McNemar test to examine the proportion of responses derived from the results of Multiple Responses Analysis (MRA). This includes Cochran’s Q operation on MRA data table using a simulated data set. Cochran’s Q test detects if there is a difference in the proportion of multiple concepts. In the case of a significant result, it would require a post hoc analysis to pinpoint the exact difference in pairwise proportions. This pairwise difference can be detected by utilizing pairwise McNemar test with Bonferroni Correction. This paper serves as a reference for researchers and practitioners who need to examine the proportion of collectively exhaustive concepts collected from a multiple responses item. |
Databáze: | OpenAIRE |
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