Revealing heavy metal correlations with water quality and tracking its latent factors by canonical correlation analysis and structural equation modeling in Dongjianghu Lake

2021 ◽  
Vol 193 (11) ◽  
Author(s):  
Dongping Liu ◽  
Huibin Yu ◽  
Huijuan Feng ◽  
Hongjie Gao ◽  
Yanzhong Zhu
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Structural Equation Modeling ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Structural Equation ◽  
Equation Modeling ◽  
Latent Factors

scholarly journals Student Burnout in Higher Education: A Demand-Resource Model Approach

2022 ◽  
Author(s):  
Balázs Jagodics ◽  
Éva Szabó
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Correlation Analysis ◽  
Structural Equation ◽  
Equation Modeling ◽  
Resource Model ◽  
Confirmatory Factor ◽  
Student Burnout

AbstractStudent burnout is a serious problem in higher education. It is associated with harmful consequences, such as decreased engagement, performance, and motivation, which can lead to dropout. The job demand-resource model of burnout is a comprehensive framework to grasp the factors related to the emergence of burnout. Although numerous studies claim its suitability in explaining burnout in work environments, its applicability in the educational context is less explored. The study aimed to analyze the structure and reliability of the newly developed University Demand-Resource Questionnaire (UDRQ) and to explore the links between its subscales and symptoms of student burnout. Using the online survey method, 743 Hungarian undergraduate students participated in the data collection. The student version of the Maslach Burnout Inventory was used in addition to the UDRQ. In the data analysis procedure, confirmatory factor analysis, correlation analysis, and structural equation modeling were utilized. The confirmatory factor analysis identified a five-factor structure related to both demands and resources. Correlation analysis revealed burnout to be associated positively to the subscales of demands and negatively to resources. Structural equation modeling analysis indicated that all five demands and two resources subscales can be used to build a model that predicts a significant proportion of the variance of student burnout scores. The findings suggest the demand-resource theory is an appropriate framework to predict burnout in higher education. The newly developed UDRQ has stable structure and good reliability and can be a useful tool in subsequent research related to student burnout.

scholarly journals Effect of Outdoor Sports Participants on Leisure Facilitation, Recreation Specialization, and Leisure Satisfaction: Yacht and Golf Participants

2021 ◽  
Vol 18 (15) ◽  
pp. 8128
Author(s):  
Young-Hoon Kwon ◽  
Young-Kyu Cheung ◽  
Byoung-Wook Ahn
Keyword(s):  
Structural Equation Modeling ◽  
Correlation Analysis ◽  
Structural Equation ◽  
Sports Participation ◽  
Positive Influence ◽  
Equation Modeling ◽  
Leisure Satisfaction ◽  
Outdoor Sports ◽  
Recreation Specialization ◽  
The Relationship

The purpose of this study was to investigate leisure satisfaction among outdoor sports participants in golf and yachting. Influence was also measured of recreation specialization on leisure satisfaction, and the effect of the relationship between leisure facilitation and leisure satisfaction on golf and yacht participation was investigated as well. Frequency, reliability, confirmatory, and correlation analysis, as well as structural equation modeling results, indicate that leisure facilitation had no influence on outdoor sports participants’ recreation specialization. Leisure facilitation had a positive influence on leisure satisfaction among the golf and yachting participants, and their recreation specialization had a positive influence on their leisure satisfaction. The effects of the COVID-19 pandemic are addressed, specifically the constraints that the disease has imposed on outdoor sports and leisure, and strategies are presented for addressing these constraints and promoting outdoor sports participation.

scholarly journals Associating puberty, metabolism and cognition

2021 ◽  
Author(s):  
Rafaella Sales de Freitas ◽  
Fausto Coutinho-Lourenco ◽  
Hugo Cogo-Moreira ◽  
Allan Chiaratti Oliveira ◽  
Sabine Pompeia
Keyword(s):  
Socioeconomic Status ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Block Design ◽  
Metabolic Changes ◽  
Metabolic Status ◽  
Equation Modeling ◽  
Latent Factors ◽  
Intelligence Scale ◽  
Pubertal Status

Cognition is influenced by pubertal and metabolic changes independently. However, these changes co-occur in adolescence and their combined role on cognition is unclear. We used Structural Equation Modeling (SEM) to investigated the association of pubertal and metabolic status latent factors, each composed of a pool of indicators, on intelligence markers in 278 early adolescents, cross-sectionally. The SEM model, controlled for socioeconomic status, included paths between latent factors and from them to the outcomes: two subtests of Wechsler Abbreviated Intelligence Scale (Block Design; Vocabulary). Metabolic status related to pubertal status only in girls, but did not affect performance. Differently, more advanced pubertal status (controled for age) was positively associated with better verbal (Vocabulary) and non-verbal (Block Design) intelligence in both sexes.

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