scholarly journals Health Personality, Consumer Health Activation, and Loneliness

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 387-387
Author(s):  
Nicholas Cone ◽  
Peter Martin
Keyword(s):  
Older Adults ◽  
Structural Equation Modeling ◽  
Health Insurance ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Future Research ◽  
Consumer Health ◽  
Supplemental Health Insurance ◽  
Specific Health

Abstract The purpose of this study was to identify relationships between health personality traits, consumer health activation (CHAI) and loneliness. Data for these analyses were collected by a large provider of Medicare Supplemental Health Insurance. The study consisted of 3,907 participants, 65 years and older. Participants were surveyed on health personality (e.g., Health Neuroticism, Health Extraversion, Health Openness, Health Agreeableness, and Health Conscientiousness), Consumer Health Activation, and Loneliness. Structural equation modeling and mediation were conducted through Mplus. The hypothesized model fit without direct paths from health personality to loneliness was not optimal. Adding direct paths from health neuroticism, health openness, and health agreeableness to loneliness resulted in an excellent fit, □2 (5) = 0.86, RMSEA = 0.00, CFI = 1.00. Health neuroticism and health openness were negatively related to health activation, which suggests respondents were less likely to be active about their health. Alternatively, health agreeableness and health conscientiousness were positively related to health activation, indicating more health activation. Mediation was tested for pathways from health personality dispositions to loneliness through health activation. The results suggest individuals higher in health neuroticism or health openness were less activated, which in turn indicated higher loneliness. Moreover, those higher in health agreeableness or health conscientiousness were more activated and indicated less loneliness. This study provides an understanding about loneliness through health personality and health activation. Future research should explore interventions for older adults with specific health personalities, or health activation to reduce loneliness levels.

scholarly journals Predicting Perceived Health of Older Adults: The Role of Health, Personality, and Resilience

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 227-228
Author(s):  
Rotem Arieli ◽  
Joseph Kim ◽  
Peter Martin
Keyword(s):  
Older Adults ◽  
Personality Assessment ◽  
Structural Equation ◽  
Past Research ◽  
Perceived Health ◽  
Well Being ◽  
Equation Modeling ◽  
Future Research ◽  
Resilience Scale ◽  
Supplemental Health Insurance

Abstract Past research has not addressed how domain-specific “health” personality traits are associated with resilience and well-being. The purpose of this study was to determine pathways from health personality to perceived health, mediated by resilience. Data included 3,907 participants, 65 and older, collected by a large provider of Medicare Supplemental Health Insurance. The Health Personality Assessment (health neuroticism, health extraversion, health openness, health agreeableness, and health conscientiousness), Brief Resilience Scale, and perceived health were measured. Structural equation modeling and bootstrap mediation were conducted in Mplus. The hypothesized model resulted in a marginal fit, so direct paths from health openness and health conscientiousness to perceived health were added, resulting in an improved fit, χ2(192)=1660.96, RMSEA=.04, CFI=.95; χ2∆(2)=403.99, p<.001. Health neuroticism and health extraversion negatively predicted perceived health, fully mediated by resilience, β=-.11, p<.001, and β=-.01, p<.05, suggesting that people anxious about their health or that talk about their health had significantly lower levels of resilience. Resilience positively predicted perceived health, indicating that more resilient people reported better health. Higher levels of health openness predicted significantly lower levels of perceived health, β=-.19, p<.001. Greater levels of health conscientiousness predicted better perceived health, β=.20, p<.001, and resilience in-turn positively related to perceived health, β=.08, p<.001. Health personality and resilience explained 25.3% of variance in perceived health. This study exemplifies the importance of health personality and resilience in predicting perceived health for older adults. Future research should examine interventions focused on health personality increasing resilience, as older adults with higher resilience reported significantly better health.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

A Short Review on Structural Equation Modeling: Applications and Future Research Directions

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Surajit Bag
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
First Generation ◽  
Analytical Techniques ◽  
Short Review ◽  
Equation Modeling ◽  
Future Research ◽  
Multivariate Techniques ◽  
Statistical Efficiency ◽  
Future Research Directions

The application of multivariate techniques is mainly to expand the researchers explanatory ability and statistical efficiency. The first generation analytical techniques share a common limitation i.e. each technique can examine only a single relationship at a time. Structural Equation Modeling, an extension of several multivariate techniques is the technique popularly used today can examine a series of dependence relationships simultaneously. The purpose of this study is to provide a short review on Structural Equation Modeling (SEM) being used in social sciences research. A comprehensive literature review of article appearing in top journals is conducted in order to identify how often SEM theory is used. Also the key SEM steps have been provided offering potential researchers with a theoretical supported systematic approach that simplify the multiple options with performing SEM.

scholarly journals Analisis Faktor-Faktor Yang Mempengaruhi Kesiapan Kerja Pada Siswa SMK Negeri 1 Sinjai

2018 ◽  
Vol 6 (2) ◽  
pp. 105-115
Author(s):  
Muhammad Ihsan
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling

Tujuan penelitian ini adalah: 1) Untuk mengetahui bagaimana hasil dari faktor-faktor yang mempengaruhi kesiapan kerja siswa SMK Negeri 1 Sinjai, 2) Untuk mengetahui hasil presentasi  dari analisis faktor-faktor yang mempengaruhi kesiapan kerja pada siswa SMK Negeri 1 Sinjai, 3) Untuk mengetahui faktor-faktor apa sajakah yang mempengaruhi penerimaan kesiapan kerja siswa SMK Negeri 1 Sinjai. Penelitian ini menggunakan metode deskriptif eksploratif. Populasi dalam penelitian ini adalah seluruh siswa kelas 3 SMK Negeri 1 Sinjai sejumlah 341 siswa dan sampel sebanyak 200 siswa. Analisis data dilakukan dengan pendekatan Structural Equation Modeling (SEM), yaitu SEM berbasis covariance. Berdasarkan hasil dari analisis data yang dilakukan, diperoleh kesimpulan bahwa: 1) Pengujian variabel-variabel pada model I-E-O, yang berpengaruh pada kesiapan kerja siswa SMK Negeri 1 Sinjai, dengan menggunakan pendekatan SEM, disimpulkan model fit dengan data yang ada. 2) Faktor kemampuan memiliki nilai koefisien sebesar 5,537437. Faktor kemampuan merupakan faktor terkuat yang mempengaruhi kesiapan kerja pada siswa SMK Negeri 1 Sinjai. Faktor ini terdiri atas prestasi belajar, tingkat intelegensi, pengalaman praktek, kedisiplinan, ekspektansi masuk dunia kerja, bakat. 3) Faktor-faktor yang mempengaruhi kesiapan kerja siswa SMK Negeri 1 Sinjai, dipengaruhi oleh faktor kemampuan, faktor akademis, faktor prilaku dan potensi diri, faktor bawaan/warisan.

scholarly journals Longitudinal Relationships Between Subjective Cognitive Decline and Objective Memory: Depressive Symptoms Mediate Between-Person Associations

2021 ◽  
pp. 1-14
Author(s):  
Nikki L. Hill ◽  
Sakshi Bhargava ◽  
Emily Bratlee-Whitaker ◽  
Jennifer R. Turner ◽  
Monique J. Brown ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Cognitive Decline ◽  
Structural Equation ◽  
Disease Risk ◽  
Well Being ◽  
Equation Modeling ◽  
Subjective Cognitive Decline ◽  
Future Research ◽  
Over Time

Background: Subjective cognitive decline (SCD) may be an early indicator of cognitive impairment, but depressive symptoms can confound this relationship. Associations may be influenced by differences between individuals (i.e., between-persons) or how each individual changes in their experiences over time (i.e., within-persons). Objective: We examined depressive symptoms as a mediator of the between- and within-person associations of SCD and objective memory in older adults. Methods: Coordinated analyses were conducted across four datasets drawn from large longitudinal studies. Samples (range: n = 1,889 to n = 15,841) included participants 65 years of age or older with no dementia at baseline. We used multilevel structural equation modeling to examine the mediation of SCD and objective memory through depressive symptoms, as well as direct relationships among SCD, objective memory, and depressive symptoms. Results: Older adults who were more likely to report SCD had lower objective memory on average (between-person associations), and depressive symptoms partially mediated this relationship in three of four datasets. However, changes in depressive symptoms did not mediate the relationship between reports of SCD and declines in objective memory in three of four datasets (within-person associations). Conclusion: Individual differences in depressive symptoms, and not changes in an individual’s depressive symptoms over time, partially explain the link between SCD and objective memory. Older adults with SCD and depressive symptoms may be at greater risk for poor cognitive outcomes. Future research should explore how perceived changes in memory affect other aspects of psychological well-being, and how these relationships influence cognitive decline and Alzheimer’s disease risk.

The Effects of Child and Adult Victimization on Psychological Distress: A Mediated Structural Equation Modeling Analysis

2019 ◽  
pp. 107780121988518
Author(s):  
Amanda Dishon-Brown ◽  
Seana Golder ◽  
Tanya Renn ◽  
TK Logan ◽  
George E. Higgins
Keyword(s):  
Structural Equation Modeling ◽  
Psychological Distress ◽  
Justice System ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Mediation Model ◽  
Modeling Analysis ◽  
And Coping ◽  
The Relationship

Justice-involved women experience significantly higher rates of victimization and psychological distress, and these experiences place women at greater risk of initial and ongoing involvement in the criminal justice system. This research explored the relationship between victimization, the hypothesized mediators (social support and coping), and psychological distress among a sample of 406 victimized women on probation/parole. Results of the Structural Equation Modeling (SEM) were significant and indicated a partial mediation model (74%) with both direct and indirect effects. Based upon the results of this research, implications and future research are explored regarding gender-responsive practices for this population.

scholarly journals Cutoff criteria for overall model fit indexes in generalized structured component analysis

2020 ◽  
Vol 8 (4) ◽  
pp. 189-202
Author(s):  
Gyeongcheol Cho ◽  
Heungsun Hwang ◽  
Marko Sarstedt ◽  
Christian M. Ringle
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Component Analysis ◽  
Model Fit ◽  
Equation Modeling ◽  
Generalized Structured Component Analysis ◽  
Root Mean Square Residual ◽  
Fit Indexes ◽  
Cutoff Criteria

AbstractGeneralized structured component analysis (GSCA) is a technically well-established approach to component-based structural equation modeling that allows for specifying and examining the relationships between observed variables and components thereof. GSCA provides overall fit indexes for model evaluation, including the goodness-of-fit index (GFI) and the standardized root mean square residual (SRMR). While these indexes have a solid standing in factor-based structural equation modeling, nothing is known about their performance in GSCA. Addressing this limitation, we present a simulation study’s results, which confirm that both GFI and SRMR indexes distinguish effectively between correct and misspecified models. Based on our findings, we propose rules-of-thumb cutoff criteria for each index in different sample sizes, which researchers could use to assess model fit in practice.

A New Dimension of Organizational Justice: Procedural Voice

2009 ◽  
Vol 105 (2) ◽  
pp. 411-426 ◽  
Author(s):  
Denise Jepsen ◽  
John Rodwell
Keyword(s):  
Structural Equation Modeling ◽  
Organizational Justice ◽  
Latent Variable ◽  
Structural Equation ◽  
Factor Model ◽  
Model Fit ◽  
Equation Modeling ◽  
Wide Range

Dimensionality of the Colquitt justice measures was investigated across a wide range of service occupations. Structural equation modeling of data from 410 survey respondents found support for the 4-factor model of justice (procedural, distributive, interpersonal, and informational), although significant improvement of model fit was obtained by including a new latent variable, “procedural voice,” which taps employees' desire to express their views and feelings and influence results. The model was confirmed in a second sample ( N = 505) in the same organization six months later.

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