Parenting quality, adversity, and conduct problems in adolescence: Testing process-oriented models of resilience

1993 ◽  
Vol 5 (4) ◽  
pp. 663-682 ◽  
Author(s):  
Scott D. Gest ◽  
Jennifer Neemann ◽  
Jon J. Hubbard ◽  
Ann S. Masten ◽  
Auke Tellegen
Keyword(s):  
Structural Equation Modeling ◽  
Conduct Problems ◽  
Structural Equation ◽  
Extended Family ◽  
Equation Modeling ◽  
Childhood And Adolescence ◽  
Moderating Effects ◽  
Negative Effects ◽  
Effective Parenting ◽  
Parenting Quality

AbstractStructural equation modeling was used (a) to determine the extent to which parent-related and non-parent-related adversity were associated with increases in conduct problems between childhood and adolescence and (b) to evaluate the possible preventive, compensatory, and moderating effects of parenting quality in this regard. Subjects were 180 boys and girls from the Project Competence longitudinal study of adversity, competence, and resilience (Garmezy & Tellegen, 1984). Conduct problems, parenting quality, and socioeconomic status were assessed when subjects were in the third through sixth grades, and adversity and conduct problems were assessed again 7 years later. Results were consistent with the view that parentrelated adversity experienced between the two assessment times was associated with a small increase in conduct problems. Adversity involving siblings, extended family, and friends was not associated with changes in conduct. Effective parenting was associated with less parent-related adversity during adolescence. Effective parenting, however, did not directly compensate for the negative effects of adversity; nor did it moderate the effects of adversity. Structural equation modeling was helpful in testing for several of these effects simultaneously. Short-term longitudinal studies with baseline measures, more frequent assessments, and adequate sample size are necessary to clarify the processes suggested by these results.

scholarly journals COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

2021 ◽  
pp. 395-405
Author(s):  
David Opeoluwa Oyewola ◽  
Emmanuel Gbenga Dada ◽  
Juliana Ngozi Ndunagu ◽  
Terrang Abubakar Umar ◽  
Akinwunmi S.A
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Support Vector ◽  
Economic Factors ◽  
Negative Effects ◽  
The Impact

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on the economy of nations is far greater than anything suffered in almost a century. The main objective of this paper is to apply Structural Equation Modeling (SEM) and Machine Learning (ML) to determine the relationships among COVID-19 risk factors, epidemiology factors and economic factors. Structural equation modeling is a statistical technique for calculating and evaluating the relationships of manifest and latent variables. It explores the causal relationship between variables and at the same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector Machine (SVM), Decision Tree (DT) and Random Forest (RF) Machine Learning techniques was applied to predict the impact of COVID-19 risk factors. Data from patients who came into contact with coronavirus disease were collected from Kaggle database between 23 January 2020 and 24 June 2020. Results indicate that COVID-19 risk factors have negative effects on epidemiology factors. It also has negative effects on economic factors.

Promote the price promotion

2014 ◽  
Vol 26 (7) ◽  
pp. 1065-1082 ◽  
Author(s):  
Hui-Chun Huang ◽  
Ya-Ting Chang ◽  
Che-Yi Yeh ◽  
Chung-Wei Liao
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Purchase Intentions ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Price Promotions ◽  
Content Type ◽  
Chain Stores ◽  
Moderating Role

Purpose – The authors empirically evaluated the effect of price promotions on customer quality evaluations and repeat-purchase intentions in coffee chain stores. The moderating role of customer characteristics in this process was also investigated. Design/methodology/approach – Consumers in 12 coffee chain stores were surveyed and 488 usable questionnaires were obtained. Relationships in the test model were examined using structural equation modeling techniques. A multiple-group solution was used to test the moderating effects of consumer characteristics. Findings – The results of structural equation modeling analyses suggested that price-promotion activities at Starbucks in Taiwan had a favorable effect on customer quality evaluations and positively influenced repeat-purchase intentions. The moderating effects of consumer characteristics were partially supported. Whereas sex showed no significant moderating effect, consumption frequency did demonstrate a moderating effect. Practical implications – The results indicate that existing customers may see price promotions at Starbucks in Taiwan as a reward or incentive, and thus lead to an increase in favorable evaluations. The findings provide a new perspective that may encourage those involved in the marketing of coffee chain stores to manage price promotions in a more strategic manner by considering customer characteristics. Originality/value – The effects of price promotions on brand evaluation remain controversial and may vary among product categories. Additionally, most studies regarding price promotions have used an experimental approach, and few studies of price promotions in the coffee industry have been reported. The study is among the first to empirically examine the effects of price promotions and the moderating role of consumer characteristics in the process at coffee chain stores.

Brand involvement in retaining customers despite dissatisfaction

2013 ◽  
Vol 41 (4) ◽  
pp. 643-650 ◽  
Author(s):  
Yih-Chearng Shiue ◽  
Lisa Shih-Hua Li
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Shopping Experience ◽  
Brand Involvement ◽  
Negative Messages

In this study, we investigated the importance of brand involvement in retaining dissatisfied customers. We surveyed 377 customers dissatisfied with their shopping experience on the Lativ shopping website because of its dishonesty, and then analyzed the data using structural equation modeling. The results revealed that brand involvement had moderating effects that improved the possibility of repatronage in the presence of many negative messages. This fits with previous studies in which it was shown that inertia had no influence on customers, and clarifies our understanding of the importance of brand involvement as a buffer that decreases customer exit intentions following organizational failures. Finally, the findings contribute to theory and practice in relation to our investigation of the factors of consumers' intentions reflected in their dissatisfied responses, and the role of brand involvement in repatronage.

scholarly journals Political Participation and Workplace Voice: The Spillover of Suppression by Supervisors

2020 ◽  
pp. 003232172096096
Author(s):  
Bram Geurkink ◽  
Agnes Akkerman ◽  
Roderick Sluiter
Keyword(s):  
Structural Equation Modeling ◽  
Political Participation ◽  
Structural Equation ◽  
Equation Modeling ◽  
Negative Effects ◽  
Political Voice ◽  
Do So ◽  
Unique Dataset

This article aims to establish the connection between people’s voice at work and their political voice. We theorize and model a spillover mechanism from supervisors’ responses to workplace voice to political participation. Applying structural equation modeling on a unique dataset (N = 3129), we find that while support and suppression of workplace voice both affect political participation, they do so through different mechanisms. In addition, we find that supervisors’ suppressive responses to employees’ voice can trigger both positive and negative effects on different forms of political participation. Thereby, we contribute to the understanding of the link between participation at work and participation in politics.

scholarly journals The Effect of Airport Self-Service Characteristics on Passengers’ Perceived Value, Satisfaction, and Behavioral Intention: Based on the SOR Model

2019 ◽  
Vol 11 (19) ◽  
pp. 5352 ◽  
Author(s):  
Jong-Hyeon Kim ◽  
Jin-Woo Park
Keyword(s):  
Structural Equation Modeling ◽  
Waiting Time ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Service Characteristics ◽  
International Airport ◽  
Perceived Values ◽  
Self Service

This paper analyzes the effects of airport self-service characteristics on behavioral intention through the perceived values and satisfaction in passengers based on the Stimulus-Organism-Response (SOR) model. For this purpose, a survey was conducted with passengers having used self-service technologies (SSTs) at Incheon International Airport. A total of 400 questionnaires were then analyzed using structural equation modeling. Four SST factors—functionality, enjoyment, customization, and convenience—were found to have significant effects on behavioral intention through the perceived values and customer satisfaction. As for the moderating effects of self-efficacy and waiting time, significant differences were found in the effects of the airport self-service characteristics. The results of this study are expected to be useful as basic data to aid strategies to develop and improve SSTs at Incheon International Airport.

Antecedents of Loyalty Towards Online Retailers

2014 ◽  
Vol 12 (4) ◽  
pp. 32-45
Author(s):  
Soma Sur
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Integrated Model ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Theoretical Understanding ◽  
General Lack ◽  
Online Retailers

E-tailing has had a phenomenal growth in the last few years but still great potential remains unused because of consumers' general lack of trust in online retailers. The purpose of this study is to develop and test an integrated model to understand the role of satisfaction and trust in building e-loyalty. It further explores the moderating effects of shopping levels on antecedents of trust, satisfaction and loyalty toward an Internet retailer. The study has used structural equation modeling to reveal the nature of relational influences of these constructs on loyalty. The moderating effects of the levels of shopping are observed as the price/value had a stronger effect on e-satisfaction for light shoppers, while e-trust had a stronger effect on e-satisfaction for heavy shoppers. This study not only advances our theoretical understanding but also helps practitioners to formulate strategies to convert light shoppers to heavy and loyal ones.

scholarly journals Recursive Effects to Study Feature-Based Capabilities in Supply Chain Management

Logistics ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 28
Author(s):  
Pietro De Giovanni
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Supply Chain Management ◽  
Structural Equation ◽  
Operational Performance ◽  
Equation Modeling ◽  
Negative Effects ◽  
Chain Management ◽  
External Pressures ◽  
Feature Based

This paper explores the benefits that firms obtain when investing in feature-based capabilities. We investigate the external pressures when deciding their feature-based strategy. In addition, we analyze the consumers’ customization options and the needs for facilitators to mitigate the negative effects of excessive features. We assess the influence of feature-based capabilities on performance and search for an economically feasible loop that feature-based capabilities might entail. This latter is carried out by investigating the recursive effects in structural equation modeling. Our findings reveal that feature-based capabilities entail an economically feasible loop through competitors and supply chain partners but not also through facilitators and operational performance.

scholarly journals The Effects of Asymmetrical Guanxi Perception on Job Burnout: Task Conflict, Relationship Conflict, and Process Conflict as Mediators

2021 ◽  
Vol 12 ◽  
Author(s):  
Hao-Kai Hung
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Job Burnout ◽  
Task Conflict ◽  
Relationship Conflict ◽  
Equation Modeling ◽  
Negative Effects ◽  
Cross Sectional ◽  
Process Conflict ◽  
The Relationship

In Chinese organizations, individuals benefit in many ways from having good guanxi. For employees, however, guanxi also comes with well-documented negative effects. Until recently, the guanxi investigated in these studies was always of a substantial nature. The negative effects of non-substantial guanxi (in effect, the absence of real guanxi), such as the guanxi of misunderstandings for those who lack good guanxi, have not been examined. This study investigates how the existence of asymmetrical guanxi perception for an employee (i.e., when other people believe that good guanxi exists between a manager and an employee, but the employee disagrees with the belief that he/she has good guanxi with his/her supervisors) contributes to job burnout for that employee due to task conflict, relationship conflict, and process conflict. A cross-sectional data sample was collected from 363 employees of 10 hotels in Taiwan. Structural equation modeling results suggest that relationship conflict is the most powerful mediator affecting the relationship between asymmetrical guanxi perception and job burnout. The results provide insights for researchers interested in the mechanism of how asymmetrical guanxi perception induces employee job burnout while generating useful implications for managers charged with reducing such burnout.

Sign in / Sign up

Export Citation Format

Share Document