Adolescent Hope as a Mediator Between Parent-Child Connectedness and Adolescent Outcomes

2010 ◽  
Vol 31 (6) ◽  
pp. 853-879 ◽  
Author(s):  
Laura M. Padilla-Walker ◽  
Sam A. Hardy ◽  
Katherine J. Christensen
Keyword(s):  
Structural Equation Modeling ◽  
School Engagement ◽  
Structural Equation ◽  
Child Outcomes ◽  
Behavioral Outcomes ◽  
Internalizing Behavior ◽  
Intervention Programs ◽  
Equation Modeling ◽  
Adolescent Outcomes ◽  
Parent Child

This study examines adolescent hope as a mediator between connectedness to mother and father, and positive and negative child outcomes. Participants included 489 adolescents aged 9 to 14 years ( M = 11.29; SD = 1.01) and their parents from the Flourishing Families Project, and data were analyzed using structural equation modeling. Results suggested that hope mediated the relation between child-reported parent-child connectedness and adolescents’ prosocial behavior, school engagement, and internalizing behavior. Mother-and father-reported connectedness were not related to adolescent hope but were directly related to behavioral outcomes. This study highlights the importance of adolescents’ cognitive-motivational processes for both positive and negative outcomes and has important implications for prevention and intervention programs.

Building Satisfaction and Loyalty During a Musical Benefit Event: A Consumer-Based Approach

2019 ◽  
Vol 48 (6) ◽  
pp. 1250-1271
Author(s):  
Jeanne Albouy ◽  
Jean-Philippe Galan ◽  
Laurent Maubisson
Keyword(s):  
Quality Of Service ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Behavioral Outcomes ◽  
Equation Modeling ◽  
Positive Word ◽  
Direct Effects ◽  
Positive Word Of Mouth

This research addresses the respective importance of the charitable, experiential, and service-based dimensions associated with benefit concerts. Through a consumer-based approach, we examine the effects of three antecedents (charitable scope, immersion, and quality of service) on satisfaction and behavioral outcomes (loyalty and positive word-of-mouth). Data collected on site immediately after a charity concert are analyzed with structural equation modeling. The state of immersion and the event’s charitable scope enhance the overall satisfaction, which, in turn, fosters the behavioral outcomes. Direct effects are identified; satisfaction is influenced more by immersion, whereas behavioral outcomes depend more on charitable scope. The type of initial motivation moderates the findings: The quality of service enhances satisfaction only among attendees with other-focused motivation, immersion improves satisfaction if the motivation is self-focused, and charitable scope remains an important factor of satisfaction regardless of the type of motivation.

Multiple Facets of Self-Control in Arab Adolescents: Parallel Pathways to Greater Happiness and Less Physical Aggression

2015 ◽  
Vol 50 (3) ◽  
pp. 405-422 ◽  
Author(s):  
Belle Gavriel-Fried ◽  
Tammie Ronen ◽  
Qutaiba Agbaria ◽  
Hod Orkibi ◽  
Liat Hamama
Keyword(s):  
Social Support ◽  
Structural Equation Modeling ◽  
Physical Aggression ◽  
Structural Equation ◽  
Positive Emotions ◽  
Self Control ◽  
Intervention Programs ◽  
Equation Modeling ◽  
Subjective Happiness ◽  
Bootstrap Analysis

Adolescence is a period of dramatic change that necessitates using skills and strengths to reduce physical aggression and increase happiness. This study examined the multiple facets of self-control skills in achieving both goals simultaneously, in a sample of 248 Arab adolescents in Israel. We conceptualized and tested a new multi-mediator model that posited two parallel paths. Structural equation modeling with bootstrap analysis supported the hypothesized model where self-control linked with subjective happiness directly, and indirectly through positive emotions and social support. In addition, self-control linked directly to physical aggression, and indirectly through hostility and anger. The findings provide new theoretical conceptualizations for further research and suggest possible mechanisms for prevention and intervention programs.

Residential Arrangements and Children’s School Engagement

2015 ◽  
Vol 49 (8) ◽  
pp. 1104-1122 ◽  
Author(s):  
Nele Havermans ◽  
An Katrien Sodermans ◽  
Koen Matthijs
Keyword(s):  
School Engagement ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Child Outcomes ◽  
Negative Consequences ◽  
Parent Child Relationship ◽  
Child Relationship ◽  
Parental Time ◽  
Selection Mechanisms ◽  
Parent Child

The increase in shared residential arrangements is driven by the belief that it is in the best interest of the child. The maintenance of contact between child and parents can mitigate negative consequences of separation. However, selection mechanisms may account for a positive relationship between shared residential arrangements and child outcomes. This study examines the association between children’s residential arrangements and their school engagement, focusing on the parent–child relationship as a mediator and selection mechanisms. Structural equation models are performed on a sample of 973 secondary school pupils with separated parents from the Leuven Adolescents and Families Study (LAFS; 2008-2011). The results suggest that more parental time is related with a better parent–child relationship, and this leads indirectly to higher school engagement. However, shared residence may also have negative consequences for children and is certainly not the only residential arrangement in which children have a good relationship with both parents.

The Measurement Structure of School Engagement Among Youth in China: An Exploratory Structural Equation Modeling Study

2017 ◽  
Vol 37 (3) ◽  
pp. 280-292
Author(s):  
Jingtong Pan ◽  
Jonathan F. Zaff
Keyword(s):  
Structural Equation Modeling ◽  
School Engagement ◽  
Structural Equation ◽  
Measurement Model ◽  
Female Students ◽  
Emotional Engagement ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Current Sample ◽  
11Th Grade

In this research, we examined the construct of a school engagement scale using exploratory structural equation modeling (ESEM). This study involved a translated measurement model that was originally developed by Li and Lerner for U.S. youth, and data from a sample of eighth-, ninth-, and 11th-grade Chinese adolescents ( N = 364). First, the results indicated that instead of the three factors (cognitive, emotional, and behavioral engagement) that have been found in previous research on school engagement, four factors emerged for the current sample: school compliance, participation, emotional engagement, and cognitive engagement. Second, the factor structure was gender invariant in the ESEM framework. We further found that female students scored higher than males on school compliance and emotional engagement. Third, the convergent correlations among school engagement subscales and academic performance were in line with theoretical expectations. Finally, based on the differences between this study and previous studies in Western countries, the need for a more thorough investigation in the conceptualization and measurement of school engagement among youth in China was discussed.

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

Sign in / Sign up

Export Citation Format

Share Document