Cochran’s Q with Pairwise McNemar for Dichotomous Multiple Responses Data: a Practical Approach

Donald, Stephen and Shahren, Ahmad Zaidi Adruce (2018) Cochran’s Q with Pairwise McNemar for Dichotomous Multiple Responses Data: a Practical Approach. International Journal of Engineering & Technology, 3 (3.18). pp. 4-6. ISSN 2227-524X

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Abstract

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.

Item Type: Article
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Uncontrolled Keywords: Cochran’s Q, dichotomous multiple responses data, McNemar, Multiple Responses Analysis, proportion, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Divisions: Academic Faculties, Institutes and Centres > Institute of Borneo Studies
Depositing User: Ahmad Zaidi Adruce
Date Deposited: 04 Oct 2018 02:42
Last Modified: 17 Jul 2019 01:37
URI: http://ir.unimas.my/id/eprint/21886

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