Reconceptualizing a model of demonstration effects: integrating rational, affective, and behavioral constructs

Author(s):  
Jordan T. Bakhsh ◽  
Luke R. Potwarka ◽  
Michael L. Naraine ◽  
Henry Wear
2019 ◽  
Vol 12 (4) ◽  
pp. 718
Author(s):  
Luis Eduardo Brandão Paiva ◽  
Tereza Cristina Batista de Lima ◽  
Silvia Maria Dias Pedro Rebouças ◽  
Rômulo Alves Soares

Research on entrepreneurial intention stands out in the academic context and addresses several determinants related to the behavioral nature influencing entrepreneurship. Consequently, the following behavioral constructs were used for sustainable entrepreneurship: attitude towards self-employment; orientation towards sustainability; propensity to innovate; barriers and facilities for entrepreneurial activities; and entrepreneurs in the immediate family. This study aimed to analyze the influence of the behavioral constructs of sustainable entrepreneurship on the entrepreneurial intentions of university students. Based on a sample of 318 students enrolled on an administration course at the Federal University of Ceará, statistical techniques of data analysis were applied, namely factorial analysis, inferential statistics (t-test and Mann-Whitney test), logistic regression and Classification and Regression Trees (CART). Three hypotheses were constructed in this study based on the literature: (i) there is a positive influence between the orientation towards the sustainability of university students and their entrepreneurial intention, (ii) there is a positive influence between the propensity to innovate and the entrepreneurial intention of the university students, and (iii) having entrepreneurs in the immediate family contributes positively to the entrepreneurial intent of university students. It was noted that, in general, students most likely to have entrepreneurial intent are those most concerned with environmental issues, that are stimulating and original, and have immediate relatives that are entrepreneurs.


Author(s):  
Nai-Ying Ko ◽  
Wei-Hsin Lu ◽  
Yi-Lung Chen ◽  
Dian-Jeng Li ◽  
Yu-Ping Chang ◽  
...  

This online survey study aimed to compare the cognitive, affective, and behavioral constructs of health beliefs related to coronavirus disease 2019 (COVID-19) between sexual minority and heterosexual individuals in Taiwan. In total, 533 sexual minority and 1421 heterosexual participants were recruited through a Facebook advertisement. The constructs pertaining to cognition (perceived relative susceptibility to COVID-19, perceived COVID-19 severity, having sufficient knowledge and information on COVID-19, and confidence in coping with COVID-19), affect (worry toward COVID-19), and behavior (adoption of health-protective behaviors) in relation to health beliefs about COVID-19 were compared between sexual minority and heterosexual participants. The results indicated that sexual minority participants had lower perceived susceptibility to COVID-19, greater self-confidence in coping with COVID-19, and lower worry about COVID-19 and were less likely to maintain good indoor ventilation and disinfect their household than heterosexual individuals. Sexual orientation is the modifying factor for the Health Belief Model in the COVID-19 pandemic and should be taken into consideration when medical professionals establish prevention programs for COVID-19.


2020 ◽  
Vol 12 (18) ◽  
pp. 7614
Author(s):  
Andrea Marais-Potgieter ◽  
Andrew Thatcher

To address the pathological human–nature nexus, psychological processes that impact this relationship need to be further understood. Individual differences related to personality, values, worldviews, affect, and beliefs are likely to influence how people relate to the natural world. However, there is a lack of empirically-based ecopsychological research exploring multiple individual attributes. Understanding individual differences enables the strategic design of planetary-focused interventions, such as advocacy, policy, and technology development. Using a theoretical model that incorporates intrinsic, affective, cognitive, and behavioral constructs, this study sought to identify and describe different types of people and their relationship with the biosphere. Seven hundred and fifty-three people completed an online quantitative questionnaire battery. Results from the cluster analyses of the cognitive and affective constructs showed that six heterogeneous types existed. Their different descriptive expressions of intrinsic, affective, cognitive, and behavioral constructs provide a deeper understanding of each type’s relationship with the biosphere.


2017 ◽  
Vol 1 ◽  
pp. 247054701771564 ◽  
Author(s):  
Chandni Sheth ◽  
Erin McGlade ◽  
Deborah Yurgelun-Todd

The Research Domain Criteria (RDoC) initiative provides a strategy for classifying psychopathology based on behavioral dimensions and neurobiological measures. Neurodevelopment is an orthogonal dimension in the current RDoC framework; however, it has not yet been fully incorporated into the RDoC approach. A combination of both a neurodevelopmental and RDoC approach offers a multidimensional perspective for understanding the emergence of psychopathology during development. Environmental influence (e.g., stress) has a profound impact on the risk for development of psychiatric illnesses. It has been shown that chronic stress interacts with the developing brain, producing significant changes in neural circuits that eventually increase the susceptibility for development of psychiatric disorders. This review highlights effects of chronic stress on the adolescent brain, as adolescence is a period characterized by a combination of significant brain alterations, high levels of stress, and emergence of psychopathology. The literature synthesized in this review suggests that chronic stress-induced changes in neurobiology and behavioral constructs underlie the shared vulnerability across a number of disorders in adolescence. The review particularly focuses on depression and substance use disorders; however, a similar argument can also be made for other psychopathologies, including anxiety disorders. The summarized findings underscore the need for a framework to integrate neurobiological findings from disparate psychiatric disorders and to target transdiagnostic mechanisms across disorders.


1995 ◽  
Vol 77 (2) ◽  
pp. 483-490 ◽  
Author(s):  
C. Douglas Saddler ◽  
Robert L. Buckland

Interpretations of depression in children and adolescents with learning disabilities have tended to be neuropsychological or motivational. Some research has related various cognitive-behavioral constructs with depression and other problematic outcomes for this population. Research with nonlearning-disabled college students has provided correlations for scores on the Self-oriented and the two social scales of the Multidimensional Perfectionism Scale with those on depression. No such work has been done with college students having learning disabilities. Measures for multidimensional perfectionism, anxiety, and depression were administered to 110 learning-disabled undergraduate men and women. Analysis showed that scores on only one of the social scales of perfectionism were positively correlated with depression scores, and this relation was weaker than previously found for nonlearning-disabled students. Findings are discussed in terms of previous research and a motivational interpretation of depression in learning-disabled college students.


2017 ◽  
Vol 12 (1) ◽  
pp. 7-24 ◽  
Author(s):  
David B. Kaber

The current cognitive engineering literature includes a broad range of models of human–automation interaction (HAI) in complex systems. Some of these models characterize types and levels of automation (LOAs) and relate different LOAs to implications for human performance, workload, and situation awareness as bases for systems design. However, some have suggested that the LOAs approach has overlooked key issues that need to be considered during the design process. Others are simply unsatisfied with the current state of the art in modeling HAI. In this paper, I argue that abandoning an existing framework with some utility for design makes little sense unless the cognitive engineering community can provide the broader design community with other sound alternatives. On this basis, I summarize issues with existing definitions of LOAs, including (a) presumptions of human behavior with automation and (b) imprecision in defining behavioral constructs for assessment of automation. I propose steps for advances in LOA frameworks. I provide evidence of the need for precision in defining behavior in use of automation as well as a need for descriptive models of human performance with LOAs. I also provide a survey of other classes of HAI models, offering insights into ways to achieve descriptive formulations of taxonomies of LOAs to support conceptual and detailed systems design. The ultimate objective of this line of research is reliable models for predicting human and system performance to serve as a basis for design.


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