scholarly journals Interparental Conflict and Korean Children’s Inhibitory Control: Testing Emotional Insecurity as a Mediator

2021 ◽  
Vol 12 ◽  
Author(s):  
Young-Eun Lee ◽  
SoJung Seo
Keyword(s):  
Inhibitory Control ◽  
Latent Variable ◽  
Structural Equation ◽  
Interparental Conflict ◽  
Emotional Reactivity ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Subsequent Increase ◽  
Korean Children ◽  
Emotional Insecurity

This study examined the association between interparental conflict and inhibitory control of Korean children, and it investigated whether this relationship is mediated by the single latent variable of emotional insecurity or by three dimensions of emotional insecurity (i.e., involvement, emotional reactivity, and avoidance). A total of 166 mother–father dyads with Korean children aged 3–5 years participated in a short-term longitudinal survey at two-time points. Both parents completed measures of interparental conflict and emotional insecurity, and, 6 months later, they completed a measure of the inhibitory control of children. The structural equation modeling results suggested that interparental conflict was related to poor inhibitory control in Korean children. Emotional insecurity did not mediate the association between interparental conflict and inhibitory control. Of the three emotional insecurity dimensions, the involvement partially mediated the relationship. Interestingly, although interparental conflict predicted poor inhibitory control, the involvement of children in the conflict, which was associated with a greater interparental conflict, predicted a subsequent increase in inhibitory control 6 months later. These findings were interpreted in terms of sensory processing patterns, the reformulation of emotional security theory, and the influence of Confucianism on Korean culture.

Trait and State Components of Perceived Parental Differential Treatment in Middle Adulthood

2010 ◽  
Vol 31 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Thomas Boll ◽  
Tom Michels ◽  
Dieter Ferring ◽  
Sigrun-Heide Filipp
Keyword(s):  
Structural Equation ◽  
Differential Treatment ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Middle Adulthood ◽  
Parental Differential Treatment ◽  
Trait Theory ◽  
Trait Variance ◽  
Parental Recognition ◽  
Middle Aged Adults

Despite its importance for basic and applied psychology, only a few longitudinal studies have examined whether parental differential treatment (PDT) is a persistent or a transient phenomenon, these studies being confined to childhood or adolescence. Based on latent state-trait theory, the present study identified the amount of variance in three dimensions of perceived PDT in middle adulthood attributable to stable interindividual differences (trait variance) and to intraindividual changes (state variance). At two occasions of measurement (2 years apart), 709 middle-aged adults rated how often they and a sibling currently received parental recognition, nurture, and demand to assume filial responsibility. Tests of latent state-trait models for these three dimensions of PDT by structural equation modeling revealed that trait variance represented the largest proportion of the systematic variance in all observed indicators of perceived maternal and paternal differential treatment. Yet there was a considerable increase in state variance for the dimension of differential parental demand for assuming responsibility. Results are discussed with respect to the conditions accounting for the high overall stability of actual and/or perceived PDT in adulthood, and different approaches for determining their role are proposed.

Neuroimaging of Individual Differences: A Latent Variable Modeling Perspective

2018 ◽  
Author(s):  
Shelly Renee Cooper ◽  
Joshua James Jackson ◽  
Deanna Barch ◽  
Todd Samuel Braver
Keyword(s):  
Individual Differences ◽  
Individual Difference ◽  
Latent Variable ◽  
Structural Equation ◽  
Behavioral Measure ◽  
Equation Modeling ◽  
Latent Variable Modeling ◽  
Psychometric Theory ◽  
Human Connectome Project ◽  
Neuroimaging Data

Neuroimaging data is being increasingly utilized to address questions of individual difference. When examined with task-related fMRI (t-fMRI), individual differences are typically investigated via correlations between the BOLD activation signal at every voxel and a particular behavioral measure. This can be problematic because: 1) correlational designs require evaluation of t-fMRI psychometric properties, yet these are not well understood; and 2) bivariate correlations are severely limited in modeling the complexities of brain-behavior relationships. Analytic tools from psychometric theory such as latent variable modeling (e.g., structural equation modeling) can help simultaneously address both concerns. This review explores the advantages gained from integrating psychometric theory and methods with cognitive neuroscience for the assessment and interpretation of individual differences. The first section provides background on classic and modern psychometric theories and analytics. The second section details current approaches to t-fMRI individual difference analyses and their psychometric limitations. The last section uses data from the Human Connectome Project to provide illustrative examples of how t-fMRI individual differences research can benefit by utilizing latent variable models.

scholarly journals Postpartum depression symptoms in survey-based research: a structural equation analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Che Wan Jasimah Bt Wan Mohamed Radzi ◽  
Hashem Salarzadeh Jenatabadi ◽  
Nadia Samsudin
Keyword(s):  
Postpartum Depression ◽  
Latent Variable ◽  
Structural Equation ◽  
Depression Scale ◽  
Public Health Problem ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Postpartum Women ◽  
Unhealthy Food ◽  
High Level

Abstract Background Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women. Methods We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model. Results Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β = 0.77), screen time (β = 0.83), chips (β = 0.85), and anxiety (β = 0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong. Conclusion The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening.

scholarly journals Insights Into the Correspondence Between Land Use Pattern and Spatial Distribution of Rail Transit Services

2021 ◽  
Author(s):  
Zhongqi Wang ◽  
Qi Han ◽  
Bauke de Vries ◽  
Li Dai
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Operations Management ◽  
Latent Variable ◽  
Structural Equation ◽  
Equation Modeling ◽  
Rail Transit ◽  
Land Use Patterns ◽  
Transit Services ◽  
The Relationship

AbstractThe identification of the relationship between land use and transport lays the foundation for integrated land use and transport planning and management. This work aims to investigate how rail transit is linked to land use. The research on the relationship between land use and rail-based transport is dominated by the impacts of rail projects on land use, without an in-depth understanding of the reverse. However, it is important to note that issues of operation management rather than new constructions deserve greater attention for regions with established rail networks. Given that there is a correspondence between land use patterns and spatial distribution of heavy railway transit (HRT) services at such regions, the study area (i.e., the Netherlands) is partitioned by the Voronoi diagram of HRT stations and the causal relationship between land use and HRT services is examined by structural equation modeling (SEM). The case study of Helmond (a Dutch city) shows the potential of the SEM model for discussing the rail station selection problem in a multiple transit station region (MTSR). Furthermore, in this study, the node place model is adapted with the derivatives of the SEM model (i.e., the latent variable scores for rail service levels and land use characteristics), which are assigned as node and place indexes respectively, to analyze and differentiate the integration of land use and HRT services at the regional level. The answer to whether and how land use affects rail transit services from this study strengthens the scientific basis for rail transit operations management. The SEM model and the modified node place model are complementary to be used as analytical and decision-making tools for rail transit-oriented regional development.

Family Environment and Child-To-Parent Violence: The Role of Emotional Insecurity

2021 ◽  
pp. 088626052110063
Author(s):  
Miriam Junco-Guerrero ◽  
Ana Ruiz-Fernández ◽  
David Cantón-Cortés
Keyword(s):  
High School Students ◽  
Family Environment ◽  
Structural Equation ◽  
Irrational Beliefs ◽  
Family System ◽  
Equation Modeling ◽  
School Students ◽  
Mothers And Fathers ◽  
The Family ◽  
Emotional Insecurity

Child-to-parent violence (CPV) constitutes a serious social problem due to its short and long-term consequences, which not only directly affect the victim but also generate a rupture of the family system. In this study, direct and indirect effects of exposition to violence within the family, insecurity in the family system (manifested as disengagement and/or preoccupation), and justification of violence on CPV toward mothers and fathers were analyzed with structural equation modeling (SEM). Davies and Cummings emotional security theory (1994) was applied. A total of 904 high school students between 13 and 20 years old participated in this study. Information regarding each participant’s committed CPV was obtained from the Child-to-Parent Aggression Questionnaire. Emotional insecurity was assessed with the Security in the Family System scale. To assess exposition to violence and justification of violence, the Exposure to Violence Questionnaire and Irrational Beliefs Inventory for Adolescents were applied, respectively. Strong relationships between exposition to violence within the family, emotional insecurity, justification of violence, and CPV toward mothers and fathers were observed. The results show that adolescents who are exposed to violence at home are more aggressive in the future. In addition, this relationship is mediated, at least in part, by the justification of violence and emotional insecurity. These results suggest that prevention and treatment of CPV aggressors should focus on improving security within the survivors’ family system as well as modifying attitudes toward violence.

Attributional Style as a Predictor of Hopelessness Depression

2006 ◽  
Vol 20 (4) ◽  
pp. 447-458 ◽  
Author(s):  
Edward D. Sturman ◽  
Myriam Mongrain ◽  
Paul M. Kohn
Keyword(s):  
Attributional Style ◽  
Latent Variable ◽  
Structural Equation ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Psychomotor Retardation ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Negative Events ◽  
Hopelessness Depression

Stable and global attributions for negative events were tested as predictors of hopelessness depression symptoms, obtained from a diagnostic interview for a past depressive episode in a sample of 102 graduate students. All participants were administered the Structured Clinical Interview for DSM–IV, Center for Epidemiological Studies Depression Scale, Personal Style Inventory, and a modified version of the Extended Attributional Style Questionnaire. A stable and global attributional style for negative events was significantly associated with a composite of hopelessness depression symptoms. A regression analysis revealed that attributional style significantly postdicted hopelessness depression symptoms when controlling for both sociotropy and autonomy. Structural equation modeling supported a model in which stable and global attributions predicted a latent variable, which we refer to as a motivational deficit, involving psychomotor retardation and fatigue as indicators. Therefore, this study obtained some support for the hopelessness model and highlights the vulnerability posed by attributional style ( Abramson, Metalsky, & Alloy, 1989 ).

Transforming people practices by re-structuring job engagement practices for generation z: An empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepika Pandita ◽  
Amresh Kumar
Keyword(s):  
Organizational Support ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Job Engagement ◽  
Content Type ◽  
Perceived Supervisor Support ◽  
Engagement Strategies ◽  
The Individual

Purpose This paper aims to develop the readers’ understanding of the transforming role of job engagement (JOB) drivers, specifically for Gen Z in information technology (IT) Companies across India. It measures the association of JOB and perceived organizational support (POS), perceived supervisor support (PSS) and co-worker relationship (COP) with a very special reference to Gen Z. Design/methodology/approach A total of 302 survey-based responses were collected. To test the conceptualized model of JOB, structural equation modeling was used. Confirmatory factor analysis was conducted using the AMOS platform toward determining the reliability and validity of the individual constructs and the overall model. Findings All three dimensions, namely, POS, PSS and COP, are positively related to JOB. Out of the three, the most contributing extent in engaging Gen Z is PSS. Research limitations/implications A conceptual framework of Gen Z engagement drivers could help human resource (HR) researchers fine-tune Gen Z employees’ retention strategy. The paper shows that it is not about pandering to them but about eliminating blocks so that Gen Z can deliver the future business. Practical implications The outcomes may aid establishments and policymakers in advancing and improving HRs policies in engaging Gen Z, who have started entering the organizations. Originality/value JOB practices can add to the determinations of the HRs processes in the IT start-ups organizations in dealing with Gen Z. This research reconnoiters the drivers of engagement strategies directly impacting JOB Gen Z.

Age-Related Effects on Interoceptive Accuracy, General Interoceptive Sensibility, and Specific Interoceptive Sensibility

2020 ◽  
Vol 27 (4) ◽  
pp. 154-170 ◽  
Author(s):  
L. Nusser ◽  
O. Pollatos ◽  
D. Zimprich
Keyword(s):  
Structural Equation ◽  
Empirical Support ◽  
Self Report ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Adult Lifespan ◽  
Age Related ◽  
Physical Diseases ◽  
Interoceptive Accuracy ◽  
Subjective Belief

Abstract. Background: The current research into interoception distinguishes between interoceptive accuracy (IAcc), the accurate detection of internal sensations (e.g., heartbeats) as measured by performance on objective IAcc tasks, and interoceptive sensibility (IS), the subjective belief concerning one’s own experience of internal sensations as measured either through self-report questionnaires or through one’s confidence in the accuracy during an IAcc task. Aims: As the two measures of IS, however, are usually uncorrelated and show differential relationships to IAcc, we suggest different types of IS, a general IS and a specific IS. Further, based on a growing body of research linking IAcc and IS to physical and mental diseases, the development of interoception across the adult lifespan is of importance. Methods: Using Structural Equation Modeling the present paper investigates the relationships among IAcc assessed by a heartbeat counting task, and the two proposed dimensions of IS in 138 participants ( Mage = 42.67, SDage = 18.77). Furthermore, we examine age-related differences in IAcc, as well as in general and specific IS. Results: In terms of the relationship between the three dimensions, general and specific IS were weakly correlated and exhibited different relationships to IAcc. Further, we found different age effects on the three interoceptive dimensions. Whereas IAcc decreased with age, specific IS tend to increase with age, and general IS remained unaffected by age. Conclusion: The findings provide further empirical support for a dissociation between general and specific IS and raised important questions concerning the relation between interoceptive accuracy and the emergence of physical diseases in older age.

scholarly journals Management by Walking Around as an Approach to Improving Organizational Excellence in Media Institutions: الإدارة بالتجوال كمدخل لتحسين التميّز المؤسسي في المؤسسات الإعلامية

2020 ◽  
Vol 4 (4) ◽  
Author(s):  
Omar Durrah, Mohammed Osman Eltigani, Moaz Gharib, Souzan Ha
Keyword(s):  
Structural Equation ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Supportive Environment ◽  
Organizational Excellence ◽  
Media Institutions ◽  
Directorate General ◽  
Management By Walking Around

The current study investigates the extent of the contribution of five facets of management by walking around (MBWA) — discovering facts, communication, motivation, creativity, and feedback — to improving organizational excellence in media institutions in the Sultanate of Oman. Especially as these institutions suffer from a lack of communication and interaction between their management and their employees. The descriptive analytical approach was used in this study. Using a simple random sampling technique, data were collected using a questionnaire from 260 respondents working as administrative staff in three media institutions: The Directorate General of Media, the Omani News Office in Dhofar Governorate, and the General Authority for Radio and Television. To test the study hypotheses, the data were analyzed using Structural Equation Modeling (SEM) by AMOS software. The results revealed that, of the five facets investigated, three dimensions of MBWA (namely discovering facts, communication, and feedback) have a positive and significant impact on organizational excellence, while motivation and creativity do not appear to affect organizational excellence. This study, therefore recommends working to create a supportive environment for applying MBWA in media institutions and educating managers in these media institutions on the importance of MBWA through workshops, training courses, and conferences to reach excellence in these institutions.

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