Psychology in Outerspace

2010 ◽  
Vol 15 (3) ◽  
pp. 220-228 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Manal Shafi
Keyword(s):  
Individual Difference ◽  
Sensation Seeking ◽  
Structural Equation ◽  
Political Orientation ◽  
Equation Modeling ◽  
Big Five Personality ◽  
Social Conformity ◽  
Extraterrestrial Life ◽  
Paranormal Beliefs ◽  
Future Work

Previous work has shown that is important to consider the disjunction between paranormal and nonparanormal beliefs about extraterrestrial life. The current study examined the association between both such beliefs and individual difference and demographic variables. A total of 555 British participants completed the Extraterrestrial Beliefs Scale, as well as measures of their Big Five personality scores, social conformity, sensation seeking, and demographics. Results showed no sex differences in ratings of paranormal and nonparanormal extraterrestrial beliefs, but participants rated nonparanormal beliefs more positively than paranormal beliefs. Results of structural equation modeling showed that individual difference factors (specifically, Openness, Conscientiousness, and social conformity) explained 21% of the variance in extraterrestrial beliefs, whereas demographic factors (specifically, education level, political orientation, and religiosity) explained 16% of the variance. Limitations and directions for future work are considered.

Further Validity of the Japanese Version of the Ten Item Personality Inventory (TIPI-J)

2014 ◽  
Vol 35 (4) ◽  
pp. 236-244 ◽  
Author(s):  
Atsushi Oshio ◽  
Shingo Abe ◽  
Pino Cutrone ◽  
Samuel D. Gosling
Keyword(s):  
Big Five ◽  
Content Validity ◽  
Structural Equation ◽  
English Language ◽  
Full Range ◽  
Reliability And Validity ◽  
Japanese Version ◽  
Personality Inventory ◽  
Equation Modeling ◽  
Big Five Personality

The Ten Item Personality Inventory (TIPI; Gosling, Rentfrow, & Swann, 2003 ) is a widely used very brief measure of the Big Five personality dimensions. Oshio, Abe, and Cutrone (2012) have developed a Japanese version of the TIPI (TIPI-J), which demonstrated acceptable levels of reliability and validity. Until now, all studies examining the validity of the TIPI-J have been conducted in the Japanese language; this reliance on a single language raises concerns about the instrument’s content validity because the instrument could demonstrate reliability (e.g., retest) and some forms of validity (e.g., convergent) but still not capture the full range of the dimensions as originally conceptualized in English. Therefore, to test the content validity of the Japanese TIPI with respect to the original Big Five formulation, we examine the convergence between scores on the TIPI-J and scores on the English-language Big Five Inventory (i.e., the BFI-E), an instrument specifically designed to optimize Big Five content coverage. Two-hundred and twenty-eight Japanese undergraduate students, who were all learning English, completed the two instruments. The results of correlation analyses and structural equation modeling demonstrate the theorized congruence between the TIPI-J and the BFI-E, supporting the content validity of the TIPI-J.

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.

Impulsivity and Aggression: A Meta-analysis Using the UPPS Model of Impulsivity

2019 ◽  
Author(s):  
Konrad Bresin
Keyword(s):  
Structural Equation Modeling ◽  
Sensation Seeking ◽  
Structural Equation ◽  
Meta Analysis ◽  
The Other ◽  
Equation Modeling ◽  
Negative Urgency ◽  
Two Stage ◽  
Trait Impulsivity

Trait impulsivity has long been proposed to play a role in aggression, but the results across studies have been mixed. One possible explanation for the mixed results is that impulsivity is a multifaceted construct and some, but not all, facets are related to aggression. The goal of the current meta-analysis was to determine the relation between the different facets of impulsivity (i.e., negative urgency, positive urgency, lack of premeditation, lack of perseverance, and sensation seeking) and aggression. The results from 93 papers with 105 unique samples (N = 36, 215) showed significant and small-to-medium correlations between each facet of impulsivity and aggression across several different forms of aggression, with more impulsivity being associated with more aggression. Moreover, negative urgency (r = .24, 95% [.18, .29]), positive urgency (r = .34, 95% [.19, .44]), and lack of premeditation (r = .23, 95% [.20, .26]) had significantly stronger associations with aggression than the other scales (rs < .18). Two-stage meta-analytic structural equation modeling showed that these effects were not due to overlap among facets of impulsivity. These results help advance the field of aggression research by clarifying the role of impulsivity and may be of interest to researchers and practitioners in several disciplines.

scholarly journals Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

2019 ◽  
Vol 16 (24) ◽  
pp. 4881 ◽  
Author(s):  
Yubing Zheng ◽  
Yang Ma ◽  
Nan Li ◽  
Jianchuan Cheng
Keyword(s):  
Personality Traits ◽  
Road Safety ◽  
Sensation Seeking ◽  
Structural Equation ◽  
Personal Characteristics ◽  
Equation Modeling ◽  
Online Questionnaire ◽  
Road Crashes ◽  
Crash Rates ◽  
Model Combining

In recent years, the increasing rate of road crashes involving cyclists with a disproportionate overrepresentation in injury statistics has become a major concern in road safety and public health. However, much remains unknown about factors contributing to cyclists’ high crash rates, especially those related to personal characteristics. This study aims to explore the influence of cyclist personality traits and cycling behaviors on their road safety outcomes using a mediated model combining these constructs. A total of 628 cyclists completed an online questionnaire consisting of questions related to cycling anger, impulsiveness, normlessness, sensation seeking, risky cycling behaviors, and involvement in crash-related conditions in the past year. After the psychometric properties of the employed scales were examined, the relationships among the tested constructs were investigated using structural equation modeling. The results showed that cyclists’ crash risks were directly predicted by risky cycling behaviors and cycling anger, and the effects of cycling anger, impulsiveness, as well as normlessness on crash risks, were mediated by cycling behaviors. The current findings provide insight into the importance of personality traits in impacting cycling safety and could facilitate the development of evidence-based prevention and promotion strategies targeting cyclists in China.

scholarly journals Cognitive and Affective Processes Associated with Social Biases

2021 ◽  
Author(s):  
Asuka Kaneko ◽  
Yui Asaoka ◽  
Young-A Lee ◽  
Yukiori Goto
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Autistic Traits ◽  
Social Judgment ◽  
Equation Modeling ◽  
Social Judgments ◽  
Social Conformity ◽  
Affective Processes ◽  
Negative Affects ◽  
Social Biases

Abstract Background Decision-making and judgments in our social activities often erroneous and irrational, known as social biases. However, cognitive and affective processes that produce such biases remain largely unknown. In this study, we investigated associations between social schemas, such as social judgment and conformity, entailing social biases and psychological measurements relevant to cognitive and affective functions. Method Forty-two healthy adult subjects were recruited in this study. A psychological test and a questionnaire were administered to assess biased social judgements by superficial attributes and social conformity by adherence to social norms, respectively, along with additional questionnaires and psychological tests for cognitive and affective measurements, including negative affects, autistic traits, and Theory of Mind (ToM). Associations of social judgment and conformity with cognitive and affective functions were examined multiple regression analysis and structural equation modeling. Results Anxiety and the cognitive realm of ToM were mutually associated with both social judgments and conformity, although social judgements and conformity were still independent processes with each other. Social judgements were also associated with autistic traits and the affective realm of ToM, whereas social conformity was associated with negative affects other than anxiety and intuitive decision-making style. Conclusions These results suggest that ToM and negative affects may play important roles in social judgements and conformity, and social biases connoted in these social schemas.

scholarly journals Understanding the Antecedents and Consequences of Green Human Capital

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402098886
Author(s):  
Yin Ma ◽  
Shih-Chih Chen ◽  
Athapol Ruangkanjanases
Keyword(s):  
Job Satisfaction ◽  
Human Capital ◽  
Big Five ◽  
Structural Equation ◽  
Positive Impact ◽  
Positive Influence ◽  
Equation Modeling ◽  
Outcome Variable ◽  
Big Five Personality ◽  
Important Indicator

Green human capital (GHC) is regarded as one of the primary attributes individuals need to develop in the era of environmental degradation. Many existing studies indicate that it is probably an important indicator of employees’ satisfaction in the workplace. Thus, based on trait theory and ability–motivation–opportunity theory, the current study examines the antecedents and outcomes of GHC among 630 employees from the manufacturing and service companies in Guangdong Province. The research employs Big Five personality and green training as the predictors of GHC, and job satisfaction as the outcome variable. Partial least squares structural equation modeling is used to analyze the data. The findings show that, in Big Five personality domains, only agreeableness and openness have a positive as well as significant impact on the individuals’ GHC, and that green training also has a positive influence on the GHC. GHC has a positive impact on the employees’ job satisfaction. The research findings and managerial implications are then discussed in detail.

Developing a Conceptual Framework using Exploratory Testing to Improve Software Quality in SME's

2018 ◽  
Vol 7 (4.1) ◽  
pp. 42
Author(s):  
Murugan Thangiah ◽  
Shuib Basri ◽  
Dhanapal Durai Dominic
Keyword(s):  
Conceptual Framework ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Survey Questionnaire ◽  
Exploratory Testing ◽  
Quantitative Analyses ◽  
Future Work

In order to create quality software with standards and agreeing principles, the Small and Medium Software Enterprises (SME’s) faces many challenges and issues due to variety of reasons. Starting from the requirement analysis phase, the challenges emerge and continue until the project nears its completion, before being released to the customers or stakeholders. Various issues surfaced during the SDLC phases are identified and analyzed in the study. A Conceptual Framework using Exploratory Testing has been developed based on the study and the quantitative analyses were conducted using survey questionnaire. In this research paper the data analysis of the quantitative survey is conducted using Partial Least Square Structural Equation Modeling.  The reliability and validity of the data is evaluated and presented in this paper which is essential to develop the conceptual framework. Further analysis of the survey questionnaire will be carried on and it will be reported in future work. 

Individual Difference Variables, Ethical Judgments, and Ethical Behavioral Intentions

1999 ◽  
Vol 9 (2) ◽  
pp. 183-205 ◽  
Author(s):  
Kenneth Bass ◽  
Tim Barnett ◽  
Gene Brown
Keyword(s):  
Individual Difference ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Equation Modeling ◽  
Just World ◽  
Ethical Judgments ◽  
Individual Difference Variables ◽  
The Individual ◽  
Ethical Behavioral Intentions ◽  
The Relationship

Abstract:This study examined the relationship between the individual difference variables of personal moral philosophy, locus of control, Machiavellianism, and just world beliefs and ethical judgments and behavioral intentions. A sample of 602 marketing practitioners participated in the study. Structural equation modeling was used to test hypothesized relationships. The results either fully or partially supported hypothesized direct effects for idealism, relativism, and Machiavellianism. Findings also suggested that Machiavellianism mediated the relationship between individual difference variables and ethical judgments/behavioral intentions.

scholarly journals What Makes Consumers’ Intention to Purchase Paid Stickers in Personal Messenger? The Role of Personality and Motivational Factors

2022 ◽  
Vol 12 ◽  
Author(s):  
Hyunmin Kang ◽  
YounJung Park ◽  
Yonghwan Shin ◽  
Hobin Choi ◽  
Sungtae Kim
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Personalized Recommendation ◽  
Equation Modeling ◽  
Big Five Personality ◽  
Online Questionnaire ◽  
Motivation Factors ◽  
Intention To Purchase

Many messengers and social networking services (SNSs) use emojis and stickers as a means of communication. Stickers express individual emotions well, allowing long texts to be replaced with small pictures. As the use of stickers increased, stickers were commercialized on a few platforms and showed remarkable growth as people bought and used stickers with their favorite characters, products, or entertainers online. Depending on their personality, individuals have different motivations for using stickers that determine the usefulness and enjoyment of stickers, affecting their purchase decisions. In the present study, participants (n = 302) who were randomly recruited from a university completed an online questionnaire assessing the Big Five personality characteristics, motivations for using stickers, and the technology acceptance model (TAM). Results using partial least squares structural equation modeling (PLS-SEM) revealed that each personality trait affected different motivations for using stickers. Moreover, motivations for using stickers also influenced different technology acceptance variables. Finally, perceived usefulness, enjoyment, and ease of use had a positive effect on the intention to purchase stickers. This study has implications in that it is an exploratory approach to the intention to purchase stickers, which has been investigated by few prior studies, and it sheds light on the relationship between personality, motivation, and TAM in purchasing stickers. It also suggests that personality and motivation factors can be considered in personalized recommendation services.

Who is attracted and why? How agile project management influences employee's attraction and commitment

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jan Koch ◽  
Carsten C. Schermuly
Keyword(s):  
Project Management ◽  
Sensation Seeking ◽  
Structural Equation ◽  
Psychological Empowerment ◽  
Equation Modeling ◽  
Content Type ◽  
Effective Strategies ◽  
Agile Project Management ◽  
Indirect Relationship ◽  
Work Structure

PurposeIn times of market volatility and uncertainty, finding effective strategies to attract and retain individuals continues to be a challenge for organizations. Based on the psychological empowerment process (Spreitzer, 1996), this paper strives to examine if the application of agile project management could serve as such a strategy.Design/methodology/approachIn two independent studies, the authors used an experiment with students as potential applicants (N = 121) and a field study with employees (N = 229) to test the predictive quality of agile project management for attracting individuals toward the organization.FindingsUsing structural equation modeling, the authors identified an indirect relationship between agile project management and attraction toward the organization via psychological empowerment. The authors found this relationship for potential applicants as well as employees. Furthermore, individuals high in sensation seeking are found to be more attracted toward organizations that apply agile project management than individuals low in sensation seeking.Research limitations/implicationsThe findings contribute to the empowerment literature by establishing agile project management as a work structure that fosters feelings of psychological empowerment.Practical implicationsTaken together, these results suggest that agile project management can attract individuals who seek novel, complex and intense sensations. Where applicable, organizations may highlight their practice of agile project management methodologies as part of their employer brand to attract future specialists for agile projects.Originality/valueThis paper is the first to integrate the research streams on agile project management and attraction toward the organization using quantitative data.

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