Q methodology to determine distinguishing and consensus factors (a case study of university students’ ecoliteracy on disaster risk reduction)

Rahma, Aldila; Mardiatno, Djati; Hizbaron, Dyah Rahmawati

doi:10.1051/e3sconf/202020001003

Cited by 18 publications

(11 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We used the Q method to gather more direct conclusions from qualitative data (i.e., opinions) collected from those professionals. The Q method is one of the most popular strategies for analysing qualitative data and is considered one of the most interesting forms of gathering information from sources and transforming it into direct conclusions and recommendations ( 16 , 17 , 20 , 21 ).…”

Section: Discussionmentioning

confidence: 99%

Measuring educational neglect using the Q method: A model based on the burden of disseminated tungiasis

Martins

Timbó

et al. 2022

Front. Epidemiol.

View full text Add to dashboard Cite

BackgroundA paramount factor in the control of neglected tropical diseases from both medical and social aspects is education. New strategies must be constantly pursued to test and provide educational information related to diseases affecting vulnerable populations. We applied the Q method as a model to measure educational neglect based on the burden of disseminated tungiasis.MethodsUsing a saturation method for sample size calculation, we recruited students and healthcare professionals to evaluate and classify 27 statements related to the prevention, control and treatment of tungiasis. After quantitative analysis, the Q method was applied based on the paired use of the centroid method and Varimax rotation, and 4 factors were extracted representing the main sets of viewpoints among the participants.ResultsWe included 119 healthcare professionals with different academic degrees. Statements classified by specialists with a + agreement were also classified as a + agreement by most of the participants. However, we detected 5 important disagreements related to the topical treatment of tungiasis and control of the disease in the environment and animals. The Q method showed that almost no consensus was detected for four statements. The classification of each statement was not related to the participants' academic degree.ConclusionsThere is significant educational neglect related to tungiasis prevention and treatment in healthcare sciences in Brazil. We conclude that the Q method may be an interesting strategy alone or associated with quantitative strategies for detecting educational limitations related to neglected diseases. In countries where neglected diseases are endemic, a detailed study evaluating the quality of education related to these diseases must be prioritized.

show abstract

Section: Discussionmentioning

confidence: 99%

Measuring educational neglect using the Q method: A model based on the burden of disseminated tungiasis

Martins

Timbó

et al. 2022

Front. Epidemiol.

View full text Add to dashboard Cite

show abstract

“…A preliminary list of risk factors based on an international literature review was refined and supplemented by interviews with Hungarian automotive industry experts for the analysis. The next step was preparing the statements for evaluation by the Q-methodology [37]. The process configuration is summarized in Table 2, including support tools and steps.…”

Section: Methodsmentioning

confidence: 99%

Q-sort Evaluation of Risk Factors by Automotive Experts

Venczel,

Berényi,

Hriczó

2024

ACTA POLYTECH HUNG

View full text Add to dashboard Cite

The high level of standardization within the automotive industry may support avoiding the occurrence of common and unforeseen risks. There are several risk management methods available, but effective actions need to understand current challenges. Automotive risk management requires a comprehensive measure and evaluation approach. The research aims to map the risk factors of managing the automotive industry for preparing a decision support model through a pilot study. The analysis used a list of risk factors based on the literature and idiographic data collection among 22 experts in 2023. The study used the Q-methodology to create characteristic patterns of opinions. Three factors were separated and entitled based on their expressed opinions Factor 1 "Follow Standards!", Factor 2 "Take Control!" and Factor 3 "Be Flexible!". Factor 1 respects mostly the automotive standards (e.g., IATF, VDA, and FMEA). Factor 2 consists of opinions to support actions that can increase overall control. Factor 3 supports every aspect to increase flexibility. There is consensus among the three factors on the high importance of Total Productive Maintenance (TPM) and proper supplier selection among the respondents. Relative opinions in the field may contribute to developing company-level risk mitigation strategies and understanding supply chain-level challenges. The study confirms the applicability of Q-methodology to discover opinion groups and, therefore, can be considered a novel contribution to the research field, from a methodological perspective.

show abstract

“…Finally, we conducted the factor interpretation by examining the distinguishing statements for each factor along with the consensus statements. Distinguishing statements were those differentiating “…one factor's view from another at a statistically significant level,” whereas consensus statements were those of agreement, or those which all participants utilized similarly in describing a CIT with a minimally acceptable level of CC (Rahma et al., 2020, p. 180). We also reviewed responses to the demographic questionnaire and post‐Q sort questions to interpret the findings (Stickl et al., 2018).…”

Section: Methodsmentioning

confidence: 99%