Median Distance Model for Likert-Type Items in Contingency Table Analysis

Autor:	Serpil Aktas Altunay, Ayfer Ezgi Yilmaz
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	Likert-type items association models ordinal variables contingency table log-linear models Statistics HA1-4737 Probabilities. Mathematical statistics QA273-280
Zdroj:	Revstat Statistical Journal, Vol 21, Iss 2 (2023)
Druh dokumentu:	article
ISSN:	1645-6726 2183-0371
DOI:	10.57805/revstat.v21i2.401
Popis:	Likert-type items (questions) are a widely used scale in questionnaire design. The “neutral” or “undecided” option may lead to misinterpretation and confusion about the results. This paper proposes two novel log-linear models to measure how much accumulation of the neutral option over the contingency tables at any question levels. These models also test the odds that a respondent’s level how far from the median. These models will help the researchers how to incorporate the neutral option in conceptual frameworks.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a4eb0b9830184c3c8acdb1571341928a Zobrazit plný text záznamu View record in DOAJ