Empathic and social dominance orientations help explain gender differences in environmentalism: A one-year Bayesian mediation analysis

Background and Aim: Major depression in both women and men is a debilitating disorder that disrupts relationship and daily lives and affects nearly 10% of general populations. The aims and objectives of this study were to determine the gender differences in major depression with respect to following: Demographic characteristics, Clinical manifestations, Stressful life events, Risk factors. Materials and Methods: Total of 100 patients was included in the study. All the included patients meet the criteria for DSM-IV (Diagnostic and Statistical Manual of Mental Disorders) diagnosis of major depression. The included patients were interviewed at the department of Psychiatry, B. J. Medical College & civil hospital Ahmedabad. Based on the Life Events Scale by Holmes and Rahe (1967), its Indian adaptation PSLE (Presumptive stressful life events scale) was done by Gurmeet Singh (1983). The statistical analysis was done by using SPSS IX version. Results: Their ages range from 18 to 70 years. Most of the patients were married, were from urban background, and nuclear family. On Hamilton Depression rating scale when the statistical analysis was done, there was no significant difference between males and females. Men had higher mean life events score than women but this was not statistically significant. In female, there was significant positive correlation between number of life events in one year and severity of depression as well as impact score during one year prior to onset of depression and Hamilton rating scores. Conclusion: Male and female major depression patients did not differ as regards demographic characteristics, except that most women were homemakers and men were employed. Number of stressful life events experienced during 1 year prior to onset of MDD was similar. Early insomnia, middle insomnia and somatic symptoms general were more severely present in female patients.

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Bayesian structural equation modelling tutorial for novice management researchers

Management Research Review ◽

10.1108/mrr-11-2017-0377 ◽

2018 ◽

Vol 41 (11) ◽

pp. 1254-1270

Author(s):

Harindranath R.M. ◽

Jayanth Jacob

Keyword(s):

Bayesian Methods ◽

Mediation Analysis ◽

Structural Equation Modelling ◽

Structural Equation ◽

Bayesian Method ◽

Information Criterion ◽

Content Type ◽

Moderation Analysis ◽

Equation Modelling ◽

Bayesian Mediation

Purpose This paper aims to popularize the Bayesian methods among novice management researchers. The paper interprets the results of Bayesian method of confirmatory factor analysis (CFA), structural equation modelling (SEM), mediation and moderation analysis, with the intention that the novice researchers will apply this method in their research. The paper made an attempt in discussing various complex mathematical concepts such as Markov Chain Monte Carlo, Bayes factor, Bayesian information criterion and deviance information criterion (DIC), etc. in a lucid manner. Design/methodology/approach Data collected from 172 pharmaceutical sales representatives were used. The study will help the management researchers to perform Bayesian CFA, Bayesian SEM, Bayesian moderation analysis and Bayesian mediation analysis using SPSS AMOS software. Findings The interpretation of the results of Bayesian CFA, Bayesian SEM and Bayesian mediation analysis were discussed. Practical implications The management scholars are non-statisticians and are not much aware of the benefits offered by Bayesian methods. Hitherto, the management scholars use predominantly traditional SEM in validating their models empirically, and this study will give an exposure to “Bayesian statistics” that has practical advantages. Originality/value This is one paper, which discusses the following four concepts: Bayesian method of CFA, SEM, mediation and moderation analysis.

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Accounting for mediation in cyclist-vehicle crash models: A Bayesian mediation analysis approach

Accident Analysis & Prevention ◽

10.1016/j.aap.2019.06.009 ◽

2019 ◽

Vol 131 ◽

pp. 122-130 ◽

Cited By ~ 8

Author(s):

Mohamed Bayoumi Kamel ◽

Tarek Sayed ◽

Ahmed Osama

Keyword(s):

Mediation Analysis ◽

Analysis Approach ◽

Vehicle Crash ◽

Bayesian Mediation

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Gender Differences in Social Dominance Orientation: The Role of Cognitive Complexity

Sex Roles ◽

10.1007/s11199-010-9775-5 ◽

2010 ◽

Vol 62 (9-10) ◽

pp. 684-692 ◽

Cited By ~ 6

Author(s):

Rob Foels ◽

Landon D. Reid

Keyword(s):

Gender Differences ◽

Social Dominance ◽

Cognitive Complexity ◽

Social Dominance Orientation

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Gender Differences and Cognitive Abilities in the Transfer of Training of Basic Flying Skills

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/154193128202600703 ◽

1982 ◽

Vol 26 (7) ◽

pp. 602-604

Author(s):

Thomas M. McCloy ◽

John F. Swiney

Keyword(s):

Gender Differences ◽

Air Force ◽

Cognitive Abilities ◽

Transfer Of Training ◽

Cognitive Factors ◽

Air Force Academy ◽

Cognitive Measures ◽

Males And Females ◽

One Year

Eighteen Air Force Academy cadets, ten males and eight females, participated in an experiment designed to investigate gender differences in the retention of basic flying skills, and the transfer of training between several basic instrument maneuvers. Additionally, the utility of several cognitive factors in predicting flying performance was investigated. The results indicated that males and females maintain basic instrument flying skills approximately equally well over an intervening period as long as one year. Additionally, gender differences in transfer of training may result from different abilities required by the specific maneuvers as opposed to failure to transfer previously learned skills. Finally, certain cognitive measures exhibit definite utility in predicting flying performance.

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