Obligatory and Voluntary Identity Discrepancies, Self-Evaluation, and Psychological Distress

2017 ◽  
Vol 7 (2) ◽  
pp. 51-68 ◽  
Author(s):  
Mary Gallagher

In identity theory, inconsistencies between self-views and perceptions of others’ views of self (identity discrepancies) are considered stressors that can compromise well-being. The particular outcome(s) affected by a given identity discrepancy may depend upon the type of identity being considered. Using telephone survey data ( n = 501) from a national probability sample of adults in the United States and structural equation modeling techniques, the author compares the impact of discrepancies in obligatory and voluntary identities on two components of self-evaluation (self-esteem and self-efficacy) and three types of psychological distress (depressive, anxiety, and somatic symptoms). Results confirm that discrepancies associated with obligatory and voluntary identities differentially affect these outcomes. Obligatory identity discrepancies have a direct association with somatic symptoms, whereas voluntary identity discrepancies are indirectly related to depressive, anxiety, and somatic symptoms through self-esteem. Implications of these findings for identity and mental health research, directions for future research, and study limitations are discussed.

2016 ◽  
Vol 5 (1) ◽  
pp. 80-101 ◽  
Author(s):  
Giulia Ranzini ◽  
Christoph Lutz

The emergence of location-based real-time dating (LBRTD) apps such as Tinder has introduced a new way for users to get to know potential partners nearby. The design of the apps represents a departure from “old-school” dating sites as it relies on the affordances of mobile media. This might change the way individuals portray themselves as their authentic or deceptive self. Based on survey data collected via Mechanical Turk and using structural equation modeling, we assess how Tinder users present themselves, exploring at the same time the impact of their personality characteristics, their demographics, and their motives of use. We find that self-esteem is the most important psychological predictor, fostering real self-presentation but decreasing deceptive self-presentation. The motives of use—hooking up/sex, friendship, relationship, traveling, self-validation, and entertainment—also affect the two forms of self-presentation. Demographic characteristics and psychological antecedents influence the motives for using Tinder, with gender differences being especially pronounced. Women use Tinder more for friendship and self-validation, while men use it more for hooking up/sex, traveling, and relationship seeking. We put the findings into context, discuss the limitations of our approach and provide avenues for future research into the topic.


2021 ◽  
Vol 9 (1) ◽  
pp. 19
Author(s):  
Khairil Anwar ◽  
Abdul Mujib

The predominance and use of social media for sacred and secular purposes have made it imperative to understand the role of social media in people’s religious motives and life. Therefore, grounded in gratification theory, the current study examines the impact of social media usage intensity, social media usage frequency, and religious appreciation in developing and strengthening different motives, i.e., ministering, spiritual enlightenment, religious information, relaxing entertainment, and well-being, among the followers of social media pages/accounts/sites for faith-based content. Following a quantitative research methodology, data were collected from the 562 followers of social media, i.e., Facebook, YouTube, Instagram, and Twitter. Data were analyzed using Structural Equation Modeling (SEM) in SmartPLS3 software. The results revealed that social media usage intensity and frequency positively influenced all five motives of individuals with a higher impact on individuals’ motive of gaining religious information followed by spiritual enlightenment and well-being. Likewise, religious appreciation positively impacted all five motives of individuals to assess the faith-based content on social media pages/accounts/sites. However, the intensity of the impact varied from well-being, relaxing entertainment, ministering, religious information to spiritual enlightenment from the highest to lowest level, respectively. Moreover, the unique concept, theoretical and practical implications, and future research insights of the study are major advances to literature in the field.


2021 ◽  
pp. 106907272110508
Author(s):  
Rhea L. Owens ◽  
Erika E. Meierding ◽  
Blake A. Allan

This study tested the Strengths-Based Inclusive Theory of Work (S-BIT of Work), a vocational theory that emphasizes positive psychological and cultural factors, among a sample of service industry workers during COVID-19. Service industry workers ( N = 320) were recruited via social media sources across the United States, and structural equation modeling was used to examine the model. This model included privilege and COVID-19 impact as contextual variables; organizational support and workplace dignity as promotive workplace variables; hope, strengths use, adaptability, empowerment, and perceived COVID-19 threat as individual variables; and fulfilling work and psychological distress as outcome variables. Privilege and workplace dignity were identified as particularly important variables; results suggested privilege was positively associated with a promotive work context and negatively related to psychological distress. Additionally, the greater the amount of privilege and dignity the service industry workers experienced, the greater their positive individual characteristics were able to flourish.


2019 ◽  
Author(s):  
◽  
Xinting Zhao

Students in Chinese universities from lower social or economic classes may be at risk of peer discrimination with negative physical and psychological effects; they may experience poor academic, social and career outcomes. Resources for supportive counseling are unlikely; therefore, self-coping skills are essential. Student participant survey data from three Chinese universities were used to evaluate whether meritocracy belief, a coping mechanism deeply rooted in Chinese culture, protects the self-esteem, health, and school connectedness of students at risk. Structural Equation Modeling (SEM) was used to examine meritocracy beliefs of students from high or low status. Comparison groups of students, high socioeconomic status (SES) vs. low SES, urban vs. rural, and male vs. female were examined regarding factors relevant to discrimination. Students with high or low levels of meritocracy belief were compared for differences in self-esteem, school belongings, perception of control and victim blame. Overall a belief in meritocracy was found to support students' self-esteem and sense of school belonging for both high- and low- status students. Perception of control was a mediator. Limitations and implications for practice and future research are discussed.


2019 ◽  
Vol 40 (3) ◽  
pp. 177-185
Author(s):  
Daniela Moza ◽  
Laurențiu Maricuțoiu ◽  
Alin Gavreliuc

Abstract. Previous research established that an independent construal of the self is associated with higher self-esteem, which, in turn, is associated with increased happiness. Regarding the directionality of these relationships, theoretical arguments have suggested that self-construal precedes self-esteem and that self-esteem precedes happiness. However, most research in this area is cross-sectional, thus limiting any conclusions about directionality. The present study tested these relationships in 101 Romanian undergraduates using a 3-wave cross-lagged design with a 6-month time lag between every two waves. Structural equation modeling analyses revealed that self-esteem is an antecedent of both happiness and dimensions of independent self-construal (i.e., consistency vs. variability and self-expression vs. harmony). In other words, one’s positive evaluation of self-worth precedes one’s self-perception as being a happy and independent person. The findings are discussed with respect to the theoretical and practical implications, along with limitations and suggestions for future research.


Encyclopedia ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 472-481
Author(s):  
Nasim Aghili ◽  
Mehdi Amirkhani

Green buildings refer to buildings that decrease adverse environmental effects and maintain natural resources. They can diminish energy consumption, greenhouse gas emissions, the usage of non-renewable materials, water consumption, and waste generation while improving occupants’ health and well-being. As such, several rating tools and benchmarks have been developed worldwide to assess green building performance (GBP), including the Building Research Establishment Environmental Assessment Method (BREEAM) in the United Kingdom, German Sustainable Building Council (DGNB), Leadership in Energy and Environmental Design (LEED) in the United States and Canada, Comprehensive Assessment System for Built Environment Efficiency (CASBEE) in Japan, Green Star in Australia, Green Mark in Singapore, and Green Building Index in Malaysia. Energy management (EM) during building operation could also improve GBP. One of the best approaches to evaluating the impact of EM on GBP is by using structural equation modelling (SEM). SEM is a commanding statistical method to model testing. One of the most used SEM variance-based approaches is partial least squares (PLS), which can be implemented in the SmartPLS application. PLS-SEM uses path coefficients to determine the strength and significance of the hypothesised relationships between the latent constructs.


2021 ◽  
Vol 13 (9) ◽  
pp. 5104
Author(s):  
Aram Eslamlou ◽  
Osman M. Karatepe ◽  
Mehmet Mithat Uner

An increasing body of research suggests job embeddedness (JE) as a motivational variable influencing employees’ attitudinal and behavioral outcomes such as quitting intentions and task performance. Personal resources have been reported to affect JE and these outcomes. However, little work has investigated the antecedents and consequences of JE among cabin attendants. There is also a dearth of empirical research regarding the mechanism linking resilience to cabin attendants’ affective and performance outcomes. Therefore, drawing on conservation of resources and JE theories, we propose a conceptual model that examines the interrelationships of resilience, JE, career satisfaction (CSAT), and creative performance (CPERF). Moreover, the model explores JE as a mediator of the impact of resilience on CSAT and CPERF. These linkages were tested via data collected from cabin attendants and their pursers. The findings from structural equation modeling reveal that resilience boosts cabin attendants’ JE, CSAT, and CPERF. As predicted, JE is a mediator between resilience and CSAT. Our paper culminates with implications for theory and practice as well as future research directions.


The factors of context-awareness and mobile ubiquity are major components in the development and diffusion of any mobile technology-driven applications and services. Principally in the m-government development space, the issues of context-awareness and ubiquity are crucial if m-government initiatives are to be successful. The moderating effect of context-awareness and ubiquity on mobile government adoption is examined for 409 students from a Chinese University based on the Technology Acceptance Model. Using the Structural Equation Modeling technique, the results indicate that perceived ease of use (PEOU) was significantly related to intention to use, but perceived usefulness (PU) did not have a significant effect on mobile government adoption. The moderating analysis indicated that context-awareness significantly moderated the impact of PU but had no moderating effect on PEOU. Also, it was discovered that ubiquity was significant in moderating both the PEOU and PU on mobile government adoption. Policy implications and directions for future research are presented.


2022 ◽  
Vol 12 ◽  
Author(s):  
Jung In Lim ◽  
Jason Yu ◽  
Young Woo Sohn

Many studies demonstrate that finding meaning in life reduces stress and promotes physical and psychological well-being. However, extant literature focuses on meaning in life among the general population (e.g., college students or office workers) in their daily lives. Thus, this study aimed to investigate the mechanisms of how individuals living in life-threatening and stressful situations obtain meaning in life, by investigating the mediating roles of leisure crafting and gratitude. A total of 465 Army soldiers from the Republic of Korea (ROK) participated in two-wave surveys with a 2-week interval. Structural equation modeling analyses indicated that the direct effects between the search for meaning, presence of meaning, leisure crafting, and gratitude were significant, except for the direct relationship between the search for meaning and the presence of meaning, and between leisure crafting and the presence of meaning. We tested indirect effects using a Monte Carlo approach and found that leisure crafting and gratitude sequentially mediated the relationship between the search for meaning and the presence of meaning. Our findings highlight the importance of the motivation behind searching for meaning, the proactive use of leisure time, and gratitude for individuals in stressful situations and controlled lifestyles. Finally, we discuss the implications and limitations of this research and future research directions.


2021 ◽  
Vol 5 (4) ◽  
pp. 68
Author(s):  
Mahdi Nasrollahi ◽  
Javaneh Ramezani ◽  
Mahmoud Sadraei

The notion of Industry 4.0 encompasses the adoption of new information technologies that enable an enormous amount of information to be digitally collected, analyzed, and exploited in organizations to make better decisions. Therefore, finding how organizations can adopt big data (BD) components to improve their performance becomes a relevant research area. This issue is becoming more pertinent for small and medium enterprises (SMEs), especially in developing countries that encounter limited resources and infrastructures. Due to the lack of empirical studies related to big data adoption (BDA) and BD’s business value, especially in SMEs, this study investigates the impact of BDA on SMEs’ performance by obtaining the required data from experts. The quantitative investigation followed a mixed approach, including survey data from 224 managers from Iranian SMEs, and a structural equation modeling (SEM) methodology for the data analysis. Results showed that 12 factors affected the BDA in SMEs. BDA can affect both operational performance and economic performance. There has been no support for the influence of BDA and economic performance on social performance. Finally, the study implications and findings are discussed alongside future research suggestions, as well as some limitations and unanswered questions.


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