scholarly journals Does Test Anxiety Predispose Poor School-Related Wellbeing and Enhanced Risk of Emotional Disorders?

2021 ◽  
Author(s):  
David W. Putwain ◽  
Diahann Gallard ◽  
Joanna Beaumont ◽  
Kristina Loderer ◽  
Nathaniel P. von der Embse
Keyword(s):  
Mental Health ◽  
Emotional Disorders ◽  
Test Anxiety ◽  
Structural Equation ◽  
Factor Model ◽  
Equation Model ◽  
Elevated Risk ◽  
Clinical Criteria ◽  
Upper Secondary Education ◽  
Subsequent Test

Abstract Background Previous studies have shown that children and adolescents who report high levels of test anxiety also report symptoms of, and meet clinical criteria for, emotion disorders (anxiety and depression). However, the directionality of this relation cannot be established from existing studies: Is high test anxiety predisposing persons at elevated risk for developing emotion disorders or vice versa? In the present study, we addressed this question in a sample of adolescents. In addition to the risk of developing an emotion disorder, based on the Dual Factor Model of Mental Health, we also considered school-related wellbeing. Method Self-reported data were collected over two waves from 1198 participants, aged 16–19 years, in upper secondary education. Results Data were analysed using a structural equation model controlling for gender and age. We found reciprocal relations between test anxiety and elevated risk for developing emotion disorders, and between school-related wellbeing and elevated risk for developing emotion disorders. School-related wellbeing was negatively related to subsequent test anxiety but not vice versa. Conclusions Our findings imply that there would be downstream benefits to improved mental health from using interventions to address test anxiety but also, from addressing emotion disorders, to improve school-related wellbeing and test anxiety.

scholarly journals Multiple Pathways: The Influence Mechanism of Greenspace Exposure on Mental Health—A Case Study of Hangzhou, China

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 339
Author(s):  
Jiancheng Lu ◽  
Xiaolong Luo ◽  
Ningning Yang ◽  
Yang Shen
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Remote Sensing ◽  
Structural Equation ◽  
Positive Impact ◽  
Personal Information ◽  
Image Interpretation ◽  
Remote Sensing Data ◽  
Equation Model ◽  
Influence Mechanism

Greenspace exposure (GSE) may have a positive impact on mental health. However, existing research lacks a classification analysis of the influence pathways of different GSE on mental health. Meanwhile, the research method is limited to the measurement of the green space ratio (GSR) based on remote sensing data, which ignores people’s real perception of greenspace. This paper aims to further expand the measurement method of GSE, taking Hangzhou, China as an example, and to reveal the influence mechanism of different GSE modes on mental health. We obtained the personal information, mental health, physical activity, and other data of the interviewees through a questionnaire (n = 461). Combined with a remote sensing satellite and the Baidu Street view database, the method of image interpretation and deep learning was used to obtain the GSR, green visual ratio (GVR), and green visual exposure (GVE). The structural equation model is used to analyze the relationship between different variables. The results showed that: (1) GSE has a certain positive effect on mental health; (2) there are differences in the influence mechanism of multiple measures of GSE on mental health—the GVR and GVE measures based on the interaction perspective between human and greenspace make the influence mechanism more complicated, and produce direct and indirect influence paths; and (3) greenspace perception, sense of community, and physical activity can act as mediators, and have indirect effects. Finally, we call for expanding the measurement index and methods of GSE and integrating them into the management and control practices of urban planning to promote the healthy development of communities and even cities.

Oliver’s four-factor model: Validation through causality

2022 ◽  
pp. 174795412110492
Author(s):  
Alessandro Cecchin
Keyword(s):  
Causal Inference ◽  
Structural Equation ◽  
Statistical Approach ◽  
Factor Model ◽  
Equation Model ◽  
Sports Analysis ◽  
Winning Percentage ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach ◽  
Fitting Ability

While there has been a growing interest in sports analysis in recent years, much research first focused on a classical statistical approach and later on an artificial intelligence approach. This article aims instead to propose a causal inference approach to sports analysis. In particular, the present article intends to review the famous four-factor model proposed by Dean Oliver for assessing the winning ability of National Basketball Association (NBA) teams through a causal inference approach. A structural equation model is used to validate Oliver’s model. The present paper considers the winning percentage and the factors’ statistics over entire seasons from [Formula: see text] to [Formula: see text]. The statistics for the [Formula: see text] season are considered only on a subset of the games. This is because the games played in the Orlando bubble under the particular COVID-19 situation have been regarded as outliers compared to the games played in the other NBA seasons, hence they have not been taken into account. The second goal of the article is to analyse if the fitting ability of the four-factor model changes when it is fitted over the pre[Formula: see text] and post[Formula: see text] basketball eras datasets, considering the year [Formula: see text] as the turning point for the NBA playing style.

Enhancing BI Systems Application Through the Integration of IT Governance and Knowledge Capabilities of the Organization

2012 ◽  
pp. 161-182 ◽  
Author(s):  
Samir Hammami ◽  
Firas M. Alkhaldi
Keyword(s):  
Business Intelligence ◽  
Structural Equation ◽  
Factor Model ◽  
It Governance ◽  
Organizational Knowledge ◽  
Equation Model ◽  
Empirical Examination ◽  
Governance Framework ◽  
Confirmatory Factor ◽  
Intelligence Application

Over years, research in Management Information Systems (MIS) has resulted in significant implications for organizations in a wide variety of areas by using socio-technical perspective, which has helped to deliver more business focused solutions. This study reports the results of an empirical examination of the effect of IT governance framework based on COBIT and Organizational Knowledge Pillars in enhancing the IT Governance framework (Business / IT Strategic alignment, Business value delivery, risk management, Resource management, performance measurement) to enhance the business intelligence application and usability within the organization. Quantitative method is adopted for answering the research questions. A questionnaire was used for data collection after contacting several companies, in addition confirmatory factor model and structural equation model were developed and tested and the overall results of the empirical investigation supported the general framework. Using confirmatory factor analysis techniques, the effects of the combination between IT governance factors seen by ITGI and organizational knowledge pillars of the firm on BI Systems application in it were tested and confirmed and the models were also verified. Several statistical methods were used for data analysis; moreover different statistical tools as software packages were employed such as SPSS 17 and EQS 6.1. The study proposes that knowledge management (KM) and IT Governance framework are vital organizational abilities that support business intelligence application; it also observes that combination of IT governance framework with organizational knowledge within the firm can enhance the organization’s BI system application and usability, and its goal is to advance the understanding of the relationships among these factors. The study develops and tested two main hypothesizes: (1) IT Governance framework supports business intelligence application. (2) Organizational knowledge, in turn, leads to support business intelligence application.

scholarly journals The Influence of Emotional Intelligence on Resilience, Test Anxiety, Academic Stress and the Mediterranean Diet. A Study with University Students

2020 ◽  
Vol 17 (6) ◽  
pp. 2071 ◽  
Author(s):  
Rubén Trigueros ◽  
Ana M. Padilla ◽  
José M. Aguilar-Parra ◽  
Patricia Rocamora ◽  
María J. Morales-Gázquez ◽  
...  
Keyword(s):  
Emotional Intelligence ◽  
University Students ◽  
Test Anxiety ◽  
Mediterranean Diet ◽  
Structural Equation ◽  
Eating Habits ◽  
Academic Stress ◽  
Equation Model ◽  
The Mediterranean ◽  
The University

The academic transition to university is a turning point in young people’s lifestyles. However, studies to date have focused on student behaviour within the classroom context, rather than on the consequences it may have on their lifestyle. This study aims to analyze the influence of emotional intelligence of university students on their resilience, academic stress, exam anxiety, and eating habits related to the Mediterranean diet at the university stage. This study was carried out with the participation of 733 male and 614 female students from the University of Almeria, aged between 19 and 27. A structural equation model was made to explain the causal relationships between the variables. The results showed emotional intelligence positively predicted resilience. In turn, test anxiety and academic stress were negatively predicted by resilience. Finally, test anxiety and academic stress were negatively predicted by the Mediterranean diet. In short, the results of the present study have shown that academic transfer to university and grading pressure can generate maladaptive consequences for food consumption.

The influence of openness to experience and nostalgia proneness on brand loyalty

2018 ◽  
Vol 15 (4) ◽  
pp. 500-513
Author(s):  
Seniz Özhan ◽  
Nevin Altug ◽  
Eylem Deniz
Keyword(s):  
Personality Traits ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Factor Model ◽  
Five Factor Model ◽  
Joint Effect ◽  
Equation Model ◽  
Openness To Experience ◽  
Content Type ◽  
The Relationship

Purpose The purpose of this paper is to examine the joint effect of two composite characteristics –openness to experience (OE) and nostalgia proneness (NP) – on product involvement (PI) and whether brand loyalty (BL) is a result of this PI. Design/methodology/approach In accordance with this purpose, a model suggesting that OE dimension of the five-factor model and NP influences PI and PI influences BL was developed and tested. The data used in the study were obtained from 1,392 participants from the Thrace region of Turkey. The authors use a structural equation model to test and confirm hypothesis. Findings OE influences PI and hence BL. On the other hand, it has been concluded that NP has no significant influence on PI. Research limitations/implications This is the first study to examine the influence of OE, one of the personality traits, and NP on BL. In this study, only OE, which is one of the five-factor personality traits, has been examined. Studies in the future may research the relationship between other personality traits and NP, PI and BL. Practical implications This paper provides managerial insights into why consumers’ personality traits and NP need to be taken into consideration in creating BL. Originality/value To the best of authors’ knowledge, the influence of OE and NP on BL has not been addressed in the current literature. Personality traits and NP are closely related to individuals’ behaviors as a consumer. Understanding the factors that influence consumer purchase decision processes is of crucial importance to managers and researchers alike. The paper is of great value for firms that consider enhance BL.

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