WebCiência IQ-UFG: a Likert-type scale to measure participants’ opinions
DOI:
https://doi.org/10.21284/elo.v13i.17221Keywords:
Science outreach, Social media, YouTube®, ChemistryAbstract
Attitude analysis comprises a set of essential tools for measuring opinions, which are influenced by beliefs, impressions, and forms of behavior. In this context, a four-point Likert-type scale was used to assess participants' opinion regarding the topic (Q1), quality of the available material, and presentation clarity (Q2) of webinars of an extension action available on YouTube®. Exploratory and predictive analyses of the scale's results showed a high percentage of participant satisfaction with both items and led to the identification of respondents’ characteristics combined with their opinions. Characteristics such as belonging or not to the institution’s community, category or current activity, in addition to the location from which the webinars were accessed, were important in modelling and predicting participants' opinions.
Downloads
References
ADELSON, Jill L.; MCCOACH, D. Betsy. Measuring the mathematical attitudes of elementary students: the effects of a 4-point or 5-point Likert-type scale. Educational and Psychological Measurement, v. 70, n. 5, p. 796-807, 2010.
ANANTH, Cand V.; KLEINBAUM, David G. Regression models for ordinal responses: a review of methods and applications. International Journal of Epidemiology, v. 26, n. 6, p. 1323-1333, 1997.
BALBINOTTI, Marcos Alencar Abaide; BARBOSA, Marcus Levi Lopes. Análise da consistência interna e fatorial confirmatório do IMPRAFE-126 com praticantes de atividades físicas gaúchos. Psico-USF, v. 13, n. 1, p. 1-12, 2008.
BOONE JR., Harry N.; BOONE, Deborah A. Analyzing Likert data. The Journal of Extension, v. 50, n. 2, e48, 2012.
BRANT, Rollin. Assessing proportionality in the proportional odds model for ordinal logistic regression. Biometrics, v. 46, n. 4, p. 1171-1178, 1990.
CARIFIO, James; PERLA, Rocco. Resolving the 50-year debate around using and misusing Likert scales. Medical Education, v. 42, n. 12, p. 1150-1152, 2008.
CAUGHLIN, David E. R for HR: an introduction to human resource analytics using R, version 0.1.2, 2022. Disponível em: https://rforhr.com. Acesso em: 25 jul. 2023.
CHYUNG, Seung Youn; ROBERTS, Katherine; SWANSON, Leva; HANKINSON, Andrea. Evidence-based survey design: the use of a midpoint on the Likert scale. Performance Improvement, v. 56, n. 10, p. 15-23, 2017.
CUMMINS, Roberts A.; GULLONE, Eleonora. Why we should not use 5-point Likert scales: the case for subjective quality of life measurement. In: Second International Conference on Quality of Life in Cities. National University of Singapore: Singapore, p. 74-93, 2000.
DALMORO, Marlon; VIEIRA, Kelmara Mendes. Dilemas na construção de escalas tipo Likert: o número de itens e a disposição influenciam nos resultados?. Revista Gestão Organizacional, v. 6, n. 3, p. 161-174, 2013.
DENG, Lifang; CHAN, Wai. Testing the difference between reliability coefficients alpha and omega. Educational and psychological measurement, v. 77, n. 2, p. 185-203, 2017.
DERHAM, Philip A. J. Using preferred understood or effective scales. How scale presentations effect online survey data collection. Australasian Journal of Marketing & Social Research, v. 19, n. 2, p. 13-26, 2011.
DITTRICH, Dino; LEENDERS, Roger Th. A. J; MULDER, Joris. Network autocorrelation modeling: a Bayes factor approach for testing (multiple) precise and interval hypotheses. Sociological Methods & Research, v. 48, n. 3, p. 642-676, 2019.
EMREDE. O futuro da educação transpandemia. EmRede - Revista de Educação a Distância, v. 10, 2023.
FAGERLAND, Morten Wang; HOSMER, Davis. Tests for goodness of fit in ordinal logistic regression models. Journal of Statistical Computation and Simulation, v. 86, n. 17, p. 1-21, 2016.
GARLAND, RON. The mid-point on a rating scale: is it desirable? Marketing Bulletin, v. 2, n. 1, p. 66-70, 1991.
GIL, Antônio Carlos. Métodos e Técnicas de Pesquisa Social, 6ª. ed. São Paulo: Atlas, 2008.
HAIR JÚNIOR, Joseph F.; BLACK, William C.; BABIN, Barry J.; ANDERSON, Rolph E.; TATHAM, Ronald L. Análise Multivariada de Dados, 6ª. ed. Porto Alegre: Bookman, 2009.
HAYES, Andrew F.; COUTTS, Jacob J. Use omega rather than Cronbach’s alpha for estimating reliability. But.... Communication Methods and Measures, v. 14, n. 1, p. 1-24, 2020.
KASSAMBARA, Alboukadel. Rstatix: pipe-friendly framework for basic statistical tests. R package version 0.7.2, 2023.
LEE, Dong Kyu. Alternatives to P value: confidence interval and effect size. Korean Journal of Anesthesiology, v. 69, n. 6, p. 555-562, 2016.
LEONTITSIS, Alexandros; PAGGE, Jenny. A simulation approach on Cronbach´s alpha statistical significance. Mathematics and Computers in Simulation, v. 73, n. 5, p. 336-340, 2007.
LUCIAN, Rafael. Repensando o uso da escala Likert: tradição ou escolha técnica?. Revista Brasileira de Pesquisas de Marketing, Opinião e Mídia, v. 9, n. 1, p. 12-28, 2016.
LUCIAN, Rafael; DORNELAS, Jairo. Propaganda no Facebook funciona? Mensuração e elaboração de uma escala de atitude. REAd. Revista Eletrônica de Administração, v. 24, n. 2, p. 189-217, 2018.
MCNULTY, Keith. Handbook of Regression Modeling in People Analysis. New York: Chapman & Hall/CRC, 2023.
MONTE, Lucas Gonçalves. Escala Likert difusa: um estudo sobre diferentes abordagens, 2020. 44 f. Trabalho de Conclusão de Curso (graduação em Matemática Industrial). Universidade Federal do Ceará, Centro de Ciências, Fortaleza, 2020.
NADLER, Joel T.; WESTON, Rebecca; VOYLES, Elora C. Stuck in the middle: the use and interpretation of mid-points in items on questionnaires. The Journal of General Psychology, v. 142, n. 2, p. 71-89, 2015.
NAVARRO, Danielle. Learning Statistics with R - A Tutorial for Psychology Students and Other Beginners. California State University: LibreTexts, 2022.
NORMAN, Geoff. Likert scales, levels of measurement and the ‘‘laws’’ of statistics. Advances in Health Sciences Education, v. 15, n. 5, p. 625-632, 2010.
O’CONNELL, ANN A. Logistic Regression Models for Ordinal Response Variables. London: Sage Publications, 2006.
PATIL, Indrajeet. Visualizations with statistical details: "the ggstatsplot approach". Journal of Open Source Software, v. 6, n. 61, p. 3167, 2021.
PEABODY, D. Two components in bipolar scales: direction and extremeness. Psychological Review, v. 69, n. 2, p. 65-73, 1962.
R CORE TEAM. R: A language and environment for statistical computing. R Foundation for Statistical Computing: Vienna, version 4.1.3, 2022.
ROMERO, María Del Carmen; ÁLVAREZ, María Belén. Usos del término “Likert”. Una revisión en estudios sobre aprendizaje organizacional. Investigacion Operativa, v. 30, n. 51, p. 41-57, 2022.
SILVA, Dirceu da; SIMON, Fernanda Oliveira. Abordagem quantitativa de análise de dados de pesquisa: construção e validação de escala de atitude. Cadernos CERU, v. 16, n. 2, p. 11-27, 2005.
SILVA JOÃO, Isabel Maria da. Aplicação da regressão logística ordinal em estudos de lealdade de clientes. Evidência para a indústria hoteleira no Algarve. Revista Turismo e Desenvolvimento, v. 1, n. 17/18, p. 87-96, 2012.
SJOBERG, Gideon; NETT, Roger. A Methodology for Social Research. New York: Harper & Row, 1968.
SOUZA, Ana Cláudia de; ALEXANDRE, Neusa Maria Costa; GUIRARDELLO, Edinêis de Brito. Propriedades psicométricas na avaliação de instrumentos: avaliação da confiabilidade e da validade. Epidemiologia e Serviços de Saúde, v. 26, n. 3, p. 649-659, 2017.
STEVENS, Stanley Smith. On the theory of scales of measurement. Science, v. 103, n. 2684, p. 677-680, 1946.
STOROPOLI, José; VILS, Leonardo. Estatística com R: Likert e escalas ordinais. Disponível em: https://storopoli.github.io/Estatistica/aux-Likert.html. Acesso em 7 mai. 2023.
TROJAN, Rose Meri; SIPRAKI, Robson. Perspectivas de estudos comparados a partir da aplicação da escala Likert de 4 pontos: um estudo metodológico da pesquisa TALIS. Revista Ibero-Americana de Estudos em Educação, v. 10, n. 2, p. 275-300, 2015.
UGBA, Ejike R. Gofcat: an R package for goodness-of-fit of categorical response models. Journal of Open Source Software, v. 7, n. 76, 4382, 2022.
SGOBBI, Lívia Flório; BARBOSA, Martin Schwellberger; SEVERINO, Vanessa Gisele Pasqualotto; CLEMENTE, Alan Dumont; PAIVA, João Vitor Fernandes; FERRI, Pedro Henrique. WebCiência IQ-UFG como estratégia de articulação entre comunicação científica e extensão universitária. Revista ELO – Diálogos em Extensão, v. 12, 2023.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Revista ELO – Diálogos em Extensão
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish in this journal agree to the following terms:
A. Authors grant the journal the right of first publication, with the work simultaneously licensed under the Creative Commons Attribution License which allows the sharing of work with acknowledgment of authorship and initial publication in this journal.
B. Authors are authorized to take additional contracts separately, for non-exclusive distribution of the version of the work published in this journal (e.g. publish in institutional repository or as a book chapter), with acknowledgment of authorship and initial publication in this journal.
C. The journal holds the right to make format, orthographic and grammatical changes in the article to ensure the language standards, respecting the author’s style as well.
D. The opinions expressed by the authors are of their exclusive responsibility.
