An FSV analysis approach to verify the robustness of the triple-correlation analysis theoretical framework

Wu, Mingxuan; Zhang, Zhongwu; Zhang, Huan; Wang, Yongwen; Shafiabady, Niusha; Yan, Wanjun; Gou, Jinwen; Gide, Ergun; Zhang, Siqing

doi:10.1038/s41598-023-35900-3

Cited by 3 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A principal component analysis (PCA) was conducted to determine the factors contributing to heat stress. Data preprocessing, which included the encoding categorical variables and the standardizing numerical variables, was applied before the PCA analysis 33 . PCA for mixed data was employed, leveraging its powerful technique in interpreting the status of variables across different data types 34 .…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of heat stress contributing factors in the indoor environment among vulnerable populations in Klang Valley using principal component analysis (PCA)

Muhamad,

How,

Lim

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Rising global temperatures can lead to heat waves, which in turn can pose health risks to the community. However, a notable gap remains in highlighting the primary contributing factors that amplify heat-health risk among vulnerable populations. This study aims to evaluate the precedence of heat stress contributing factors in urban and rural vulnerable populations living in hot and humid tropical regions. A comparative cross-sectional study was conducted, involving 108 respondents from urban and rural areas in Klang Valley, Malaysia, using a face-to-face interview and a validated questionnaire. Data was analyzed using the principal component analysis, categorizing factors into exposure, sensitivity, and adaptive capacity indicators. In urban areas, five principal components (PCs) explained 64.3% of variability, with primary factors being sensitivity (health morbidity, medicine intake, increased age), adaptive capacity (outdoor occupation type, lack of ceiling, longer residency duration), and exposure (lower ceiling height, increased building age). In rural, five PCs explained 71.5% of variability, with primary factors being exposure (lack of ceiling, high thermal conductivity roof material, increased building age, shorter residency duration), sensitivity (health morbidity, medicine intake, increased age), and adaptive capacity (female, non-smoking, higher BMI). The order of heat-health vulnerability indicators was sensitivity > adaptive capacity > exposure for urban areas, and exposure > sensitivity > adaptive capacity for rural areas. This study demonstrated a different pattern of leading contributors to heat stress between urban and rural vulnerable populations.

show abstract

Section: Methodsmentioning

confidence: 99%

“…PCA for mixed data was employed, leveraging its powerful technique in interpreting the status of variables across different data types 34 . Only datasets with a Kaiser–Meyer–Olkin measure (KMO) value of > 0.5 35 and Barlett’s test of sphericity (BTS) yielding a result of 0.000 ( p < 0.001) were selected for interpretation 33 .…”

Section: Methodsmentioning

confidence: 99%

Assessment of heat stress contributing factors in the indoor environment among vulnerable populations in Klang Valley using principal component analysis (PCA)

Muhamad,

How,

Lim

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

Development and Validation of a Questionnaire for the Assessment of the Factors that Influence ADR Reporting by Pharmacists

Firdaus,

Nita,

Setiawan

et al. 2024

Borneo J Pharm

View full text Add to dashboard Cite

Drug safety is a significant concern in many countries, as side effects (AE) and adverse drug reactions (ADR) have caused many deaths worldwide. One of the reasons is the low contribution of pharmacists in spontaneously reporting AE/ADR. This study aims to develop a questionnaire to assess factors that correlate with spontaneous reporting by pharmacists. A questionnaire pilot was tested on 30 pharmacist respondents who worked in type C hospitals in Surabaya and Sidoarjo, Indonesia. Respondents' responses were then evaluated for face validity, construct validity, and reliability. The results showed that the face validity of the questionnaire was ideal. Then, the results of the construct validity of the knowledge section using point biserial correlation showed that two items were invalid because the r-value was smaller than the r-table (r = 0.361). Then, construct validity uses the factor analysis method for psychological, environmental, and practical variables by paying attention to the Kaiser-Mayer-Olkin Measure (KMO) value, which must be greater than 0.5, the significance of the Bartlett test, which must be less than 0.05 and the factor loading value which conditions must be greater than 0.5. As a result, most of the psychological, environmental, and practical variables show valid and reliable results. However, further consideration should be given to eliminating some items that do not meet the requirements. In conclusion, this validated questionnaire can be used to obtain additional information regarding factors influencing spontaneous reporting by pharmacists.

show abstract

Student Incivility in Classrooms: An Insight From The Student’s Point of View with Focus on Kerala

Somasundaran Chakkambath,

Krishna S,

Thomas Maliakkal

2024

IJSE

View full text Add to dashboard Cite

Educators endeavour to establish classroom settings that foster learning. Nevertheless, it is a frequent occurrence to come across disruptive student conduct that hampers the learning environment we aim to establish. Classroom incivility may be characterized as student conduct that hinders the anticipated progression of the lecture or disturbs the educational environment within the class. After COVID-19, offline classes have begun and students are adapting to the traditional method of classroom coaching once again. The shift from digital to online mode of teaching has also created a sense of change in the general classroom discipline. This research investigates the student incivility from the student’s perspective. The target population is from the State of Kerala, India. The sample size was 244 students from different educational institutions across the State. A structured questionnaire was used to measure different incivility behaviors of students. The study used proportionate analysis for the demographic characteristics and general questions related to classroom incivility. Exploratory factor analysis was used to group the factors that contribute to classroom incivility. The outcome of this research aims to provide some insight into the students perspective of classroom incivility. This understanding would enable to educators to strengthen their classroom management skills and also develop their own strategies to deal with certain disruptive behaviours found.

show abstract

An FSV analysis approach to verify the robustness of the triple-correlation analysis theoretical framework

Cited by 3 publications

References 18 publications

Assessment of heat stress contributing factors in the indoor environment among vulnerable populations in Klang Valley using principal component analysis (PCA)

Assessment of heat stress contributing factors in the indoor environment among vulnerable populations in Klang Valley using principal component analysis (PCA)

Development and Validation of a Questionnaire for the Assessment of the Factors that Influence ADR Reporting by Pharmacists

Student Incivility in Classrooms: An Insight From The Student’s Point of View with Focus on Kerala

Contact Info

Product

Resources

About