Psychological aspects of women’s career growth constraints and outcomes: A longitudinal study from India:
30 Sep 2020-Australian journal of career development (SAGE PublicationsSage UK: London, England)-Vol. 29, Iss: 3, pp 173-184
TL;DR: This article explored the relationships between glass ceiling beliefs and the outcomes of work commitment and turnover in a longitudinal study and found that denial, resilience, resignation, and acceptance are common beliefs for women.
Abstract: This longitudinal study explores the relationships between glass ceiling beliefs (i.e. denial, resilience, resignation, and acceptance) and the outcomes of work commitment and work turnover intenti...
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3,053 citations
TL;DR: In this article, a cross-sectional study was conducted among 1125 participants in India, comprising 638 men and 487 women, to understand the relationships between the fear of COVID-19 and perceived stress, wellbeing, and life satisfaction.
Abstract: The study aims at understanding the relationships between the fear of COVID-19 and perceived stress, wellbeing, and life satisfaction. The study also analyses the role of gender on the relationship of fear of COVID-19 with these study variables. For this, a cross-sectional study was conducted among 1125 participants in India, comprising 638 men and 487 women. Structural equation model was used to analyse the data. It was found that the fear of COVID-19 is positively related to perceived stress and negatively related to wellbeing and life satisfaction. It was also found that, these relationships are stronger among women than among men. The study shows the importance of psychiatric assessment during pandemic times and alerts policy makers and society in general, to take measures for ensuring mental health among people during times of crisis. Future studies can include longitudinal research for a comprehensive understanding of the psychological impacts of the pandemic.
8 citations
Book•
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14 Aug 2013
TL;DR: In this article, a case study of how presidents at a small, public four-year institution of higher education respond to organizational change is presented, in order to discover if transformational leadership is present within the university presidency during this era of great change.
Abstract: As both internal and external threats continue to arise and challenge the traditional mold of higher education, the role of the university president is becoming increasingly precarious in the arena of higher education. In addition to primarily influencing the direction of the institution, the university president is being required to serve in an ever-growing number of political, financial, and philanthropic capacities. This book considers, through an in-depth case study analysis, how presidents at a small, public four-year institution of higher education respond to organizational change. More specifically, the study attempts to discover if transformational leadership is present within the university presidency during this era of great change that is affecting colleges and universities. Case study methodology is used to define the parameters of the study, while qualitative description and the analysis of storytelling are used to gather and analyze data. Although primarily designed for university presidents and higher education administrators, this text can be meaningful for leaders at any level both inside and outside the world of higher education.
4 citations
TL;DR: In this article , the authors investigated the role of technology, manager support and peer support on self-efficacy and job outcomes (i.e. training transfer, work engagement and job satisfaction) of employees while working from home (WFH).
Abstract: PurposeWorking from home (WFH) was one of the major changes that occurred in many organizations during the COVID-19 pandemic. This also led to online training being conducted during this WFH period. The present study investigated the role of technology, manager support and peer support on self-efficacy and job outcomes (i.e. training transfer, work engagement and job satisfaction) of employees while WFH.Design/methodology/approachThe study framework incorporated Bandura's self-efficacy theory. Data were collected from 852 employees in India, and structural equation modeling was used to analyze the data.FindingsThe study found positive relationships between ease of technology use, manager support and peer support on self-efficacy and a negative relationship between self-efficacy and technostress. The study also found significant positive relationships between self-efficacy and training transfer, work engagement and job satisfaction. Moreover, the study also identified the moderating effects of WFH and technical issues in the relationships of self-efficacy with training transfer, work engagement and job satisfaction.Originality/valueThe study is novel in that it extended self-efficacy theory regarding the WFH context with influencers such as technology, managers and peers as organizational factors. It also demonstrated the effectiveness of remote working and online training considering the potential antecedents while WFH. Moreover, the study highlighted the simultaneous role of technology and people (managers and peers) in enhancing job outcomes by increasing self-efficacy among employees.
1 citations
References
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TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
Abstract: In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators.
80,095 citations
"Psychological aspects of women’s ca..." refers background in this paper
...SEM provides the basic data analysis strategy when a mediation model involves latent constructs (Baron & Kenny, 1986; Judd & Kenny, 1981)....
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TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Abstract: Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
52,531 citations
"Psychological aspects of women’s ca..." refers methods in this paper
...Since the data were self-reported from one source, Harman’s one-factor test was conducted to check the influence of common method variance on the results (Podsakoff et al., 2003)....
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...First, all data were acquired through self-reports, which might have increased common method bias, although testing for this did not identify it as a major problem (cf. Podsakoff et al., 2003)....
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...To confirm these results, additional analyses were performed following the procedure recommended by Podsakoff et al. (2003)....
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Book•
21 Jul 2011
TL;DR: Structural Equation Models: The Basics using the EQS Program and testing for Construct Validity: The Multitrait-Multimethod Model and Change Over Time: The Latent Growth Curve Model.
Abstract: Psychology is a science that advances by leaps and bounds The impulse of new mathematical models along with the incorporation of computers to research has drawn a new reality with many methodological progresses that only a few people could imagine not too long ago Such progress has no doubt revolutionized the panorama of research in the behavioral sciences Structural Equation Models are a clear example of this Under this label are usually included a series of state-of-the-art multivariate statistical procedures that allow the researcher to test theoryguided hypotheses with clearly confi rmatory ends as well as to establish causal relations among variables Confi rmatory factor analysis, the study of measurement invariance, or the multitraitmultimethod models are some of the procedures that stem from this methodology In this sense, it would be diffi cult to fi nd a scientifi c journal that publishes empirical works in psychology that does not address some of these issues, so their current transcendence is undeniable The manual written by the Full Professor of the University of Ottawa, Barbara M Byrne, is a link in a series of books that address this topic Throughout her long academic trajectory, Professor Byrne developed interesting and popular work focused on bringing the researcher and the professional layman—and not so layman—closer to the diverse statistical programs available on the market for data analysis from the perspective of structural equation models (ie, LISREL, AMOS, EQS) (Byrne, 1998, 2001, 2006) Bearing this in mind, the main goal of this work is to introduce the reader to the basic concepts of this methodology, in a simple and entertaining way, avoiding mathematical technicisms and statistical jargon For this purpose, we used the statistical program Mplus 60 (Muthen & Muthen, 2007-2010), an extremely suggestive software that incorporates interesting applications The authoress provides a practical guide that leads the reader through illustrative examples of how to proceed step by step with the Mplus, from the initial specifi cations of the model to the interpretation of the output fi les On the one hand, we underline that the data used proceed from prior investigations and can be consulted in the Internet, offering the reader the possibility of practicing with them (http://wwwpsypresscom/sem-with-mplus/ datasets/); on the other hand, updating the information with novel and apt bibliographic references allows the reader to study in more depth the diverse topics that are presented in the manual, if he or she so desires The book consists of four sections, with a total of 12 chapters The fi rst section, Chapters 1 and 2, addresses introductory terms related to structural equation models and working with the Mplus program at a user-level The second unit focuses on data analysis with a single group In Chapter 3, the factor validity of the self-concept is tested by means of confi rmatory factor analysis In Chapter 4, the authoress performs a fi rst-order confi rmatory factor analysis, in which she examines the validity of the scores of the Maslach Burnout Inventory (MBI) in a sample of teachers In Chapter 5, the internal structure of the scores on the Beck Depression Inventory-II is analyzed by means of second-order confi rmatory factor analysis in a sample of Chinese adolescents In the next chapter, the complete model of structural equations is tested, and the authoress examines the causal relation established between diverse variables (ie, work climate, self-esteem, social support) and Burnout The third section of the manual is, in my opinion, the most interesting, not only because of the expansion of the study of measurement invariance in recent years but also because of the expansion it may possibly have in the future In this section, Professor Byrne goes into multigroup comparisons Specifi cally, in Chapter 7, she examines the factor equivalence of the MBI in two samples of teachers by means of the analysis of covariance structures In this chapter, she introduces relevant concepts, such as types of invariance (confi gural, metric, and strict) or the invariance of partial measurement In Chapter 8, she also analyzes measurement invariance, using for this purpose the analysis of mean and covariance structures This analysis, in comparison to the analysis of covariance structures, allows contrasting the latent means of two or more groups With this goal, she verifi es whether there is measurement invariance between the scores on the Self-description Questionnaire-I in Nigerian and Australian adolescents In Chapter 9, she proposes a complete model of structural equations in which she tests the causal structure through the procedure of cross validation Lastly, in the fourth section, she reveals three very interesting topics, that are also up-to-date and that, to some degree, go beyond the initial goal of the book, such as the multitrait-multimethod models, latent growth curves, and multilevel models Summing up, the work “Structural Equation Modeling with Mplus: Basic concepts, applications, and programming” is of enormous interest and utility for all professionals of psychology and related sciences who, without having exhaustive knowledge of the details of structural equation models, wish to test their hypothetical models by means of the Mplus program No doubt, this is a reference manual, a must-read that is accessible and that has a high degree of methodological rigor We hope that the readers
16,616 citations
"Psychological aspects of women’s ca..." refers background in this paper
...A measurement model specifies the pattern by which each measure is loaded on a particular factor (Byrne, 2016)....
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...Values >.80 for GFI, >.90 for CFI and TLI, and .08 RMSEA indicate acceptable model fit (Byrne, 2016; Hu & Bentler, 1998)....
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TL;DR: The authors outline a framework for a science of positive psychology, point to gaps in the authors' knowledge, and predict that the next century will see a science and profession that will come to understand and build the factors that allow individuals, communities, and societies to flourish.
Abstract: A science of positive subjective experience, positive individual traits, and positive institutions promises to improve quality of life and prevent the pathologies that arise when life is barren and meaningless, The exclusive focus on pathology that has dominated so much of our discipline results in a model of the human being lacking the positive features that make life worth living. Hope, wisdom, creativity, future mindedness, courage, spirituality, responsibility, and perseverance are ignored or explained as transformations of more authentic negative impulses. The 15 articles in this millennial issue of the American Psychologist discuss such issues as what enables happiness, the effects of autonomy and self-regulation, how optimism and hope affect health, what constitutes wisdom, and how talent and creativity come to fruition. The authors outline a framework for a science of positive psychology, point to gaps in our knowledge, and predict that the next century will see a science and profession that will come to understand and build the factors that allow individuals, communities, and societies to flourish.
12,650 citations
"Psychological aspects of women’s ca..." refers background in this paper
...Work engagement, commitment, and turnover intention are important considerations for organizations, which have received much research attention in recent times (Bhatnagar, 2012; Poon, 2013; Seligman & Csikszentmihalyi, 2014)....
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...Development of an engaged workforce is an organizational priority due to the positive outcomes it provides to organizations (Saks, 2006; Seligman & Csikszentmihalyi, 2014)....
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TL;DR: In this article, the sensitivity of maximum likelihood (ML), generalized least squares (GLS), and asymptotic distribution-free (ADF)-based fit indices to model misspecification, under conditions that varied sample size and distribution.
Abstract: This study evaluated the sensitivity of maximum likelihood (ML)-, generalized least squares (GLS)-, and asymptotic distribution-free (ADF)-based fit indices to model misspecification, under conditions that varied sample size and distribution. The effect of violating assumptions of asymptotic robustness theory also was examined. Standardized root-mean-square residual (SRMR) was the most sensitive index to models with misspecified factor covariance(s), and Tucker-Lewis Index (1973; TLI), Bollen's fit index (1989; BL89), relative noncentrality index (RNI), comparative fit index (CFI), and the MLand GLS-based gamma hat, McDonald's centrality index (1989; Me), and root-mean-square error of approximation (RMSEA) were the most sensitive indices to models with misspecified factor loadings. With ML and GLS methods, we recommend the use of SRMR, supplemented by TLI, BL89, RNI, CFI, gamma hat, Me, or RMSEA (TLI, Me, and RMSEA are less preferable at small sample sizes). With the ADF method, we recommend the use of SRMR, supplemented by TLI, BL89, RNI, or CFI. Finally, most of the ML-based fit indices outperformed those obtained from GLS and ADF and are preferable for evaluating model fit.
9,249 citations
"Psychological aspects of women’s ca..." refers background in this paper
...Values >.80 for GFI, >.90 for CFI and TLI, and .08 RMSEA indicate acceptable model fit (Byrne, 2016; Hu & Bentler, 1998)....
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