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      Analysis of Factors Influencing Public Behavior Decision Making: Under Mass Incidents

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          Abstract

          Most mass incidents are created by economic or social concerns brought on by fast socioeconomic change and poor local government. The number of mass occurrences in China has significantly increased in recent years, putting the country’s steady growth and public behavior decision-making in harm. We examine the factors that influence public behavior decision-making in the following significant factors, contributing to the development of effective prevention and response strategies. The structural equation (SEM) approach is used to analyze the main determinants influencing public behavioral decisions in the aftermath of mass incidents using surveys of a large population. The finding shows that media plays a mediating role in the relationship between mass occurrences and influencing factors impacting public emotion. The direct and indirect effects of public behavior decision-making and its role increasingly social changes as things happen, government credibility, media plays mediating role in public emotional factors. All directly impact public behavior decision-making, while emotional factors have an indirect impact via media intermediaries. The escalation of public behavior decisions is seen as a result of structural transmission and the increase of dynamic as well as other factors.

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          Most cited references39

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          SPSS and SAS procedures for estimating indirect effects in simple mediation models.

          Researchers often conduct mediation analysis in order to indirectly assess the effect of a proposed cause on some outcome through a proposed mediator. The utility of mediation analysis stems from its ability to go beyond the merely descriptive to a more functional understanding of the relationships among variables. A necessary component of mediation is a statistically and practically significant indirect effect. Although mediation hypotheses are frequently explored in psychological research, formal significance tests of indirect effects are rarely conducted. After a brief overview of mediation, we argue the importance of directly testing the significance of indirect effects and provide SPSS and SAS macros that facilitate estimation of the indirect effect with a normal theory approach and a bootstrap approach to obtaining confidence intervals, as well as the traditional approach advocated by Baron and Kenny (1986). We hope that this discussion and the macros will enhance the frequency of formal mediation tests in the psychology literature. Electronic copies of these macros may be downloaded from the Psychonomic Society's Web archive at www.psychonomic.org/archive/.
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            Predictable chaos: a review of the effects of emotions on attention, memory and decision making.

            Healthcare practice and education are highly emotional endeavors. While this is recognized by educators and researchers seeking to develop interventions aimed at improving wellness in health professionals and at providing them with skills to deal with emotional interpersonal situations, the field of health professions education has largely ignored the role that emotions play on cognitive processes. The purpose of this review is to provide an introduction to the broader field of emotions, with the goal of better understanding the integral relationship between emotions and cognitive processes. Individuals, at any given time, are in an emotional state. This emotional state influences how they perceive the world around them, what they recall from it, as well as the decisions they make. Rather than treating emotions as undesirable forces that wreak havoc on the rational being, the field of health professions education could be enriched by a greater understanding of how these emotions can shape cognitive processes in increasingly predictable ways.
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              Modelagem de Equações Estruturais Baseada em Covariância (CB-SEM) com o AMOS: Orientações sobre a sua aplicação como uma Ferramenta de Pesquisa de Marketing

              A modelagem de equaes estruturais (Structural Equation Modeling -SEM) cada vez mais usada como um mtodo para a conceituao e desenvolvimento de aspectos tericos nas cincias sociais aplicadas, em particular na rea de marketing, pois mais e mais h a necessidade de avaliar vrios constructos e relaes latentes complexas. Tambm, constructos de segunda ordem podem ser modelados fornecendo uma melhor compreenso terica de relaes com boa parcimnia. Modelagens do tipo SEM so, em particular, bem adequadas para investigar as relaes complexas entre os vrios constructos. Os dois mtodos analticos SEM mais prevalentes so os baseados em covarincia SEM (CB-SEM) e os baseados em varincia SEM (PLS-SEM). Embora cada tcnica tenha suas vantagens e limitaes, neste artigo vamos nos concentrar no CB-SEM com o AMOS para ilustrar sua aplicao na anlise das relaes entre orientao para o cliente, a orientao para os funcionrios e desempenho da empresa. Tambm ser demonstrado como constructos de segunda ordem so teis para modelar os componentes de pr-atividade e responsividade dessas relaes.DOI: 10.5585/remark.v13i2.2718
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                16 May 2022
                2022
                : 13
                : 848075
                Affiliations
                School of Economics and Management, Yanshan University , Qinhuangdao, China
                Author notes

                Edited by: Azka Amin, Iqra University, Pakistan

                Reviewed by: Lubna Shaheen, Government College Women University, Pakistan; Tao Xiaolong, Yunnan University, China

                *Correspondence: Nida Gull, nidagull3333@ 123456gmail.com

                This article was submitted to Organizational Psychology, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2022.848075
                9149565
                3f65e15d-d59c-4f05-a612-4d0ab5f290e8
                Copyright © 2022 Shi, Liu and Gull.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 03 January 2022
                : 01 April 2022
                Page count
                Figures: 3, Tables: 7, Equations: 0, References: 39, Pages: 13, Words: 8707
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                mass incidents,behavior decision-making,influencing factors,emotional factors,structural equation (sem)

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