Classroom Group Behavior: Group Dynamics in Education.Mary A. Bany , Lois V. Johnson

1964 ◽  
Vol 70 (2) ◽  
pp. 254-255
Author(s):  
A. Paul Hare
Keyword(s):  
Group Dynamics ◽  
Group Behavior

scholarly journals GROUP BEHAVIORAL BIASES AFFECT FINANCIAL DECISIONS UNLIKE INDIVIDUAL BEHAVIORAL BIASES

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Marcelo Henriques de Brito ◽  
Paula Esteban do Valle Jardim
Keyword(s):  
Decision Making ◽  
Group Dynamics ◽  
Behavioral Finance ◽  
Institutional Investors ◽  
Group Behavior ◽  
Individual Investors ◽  
Cognitive Errors ◽  
Financial Decisions ◽  
Behavioral Biases ◽  
Group Members

This work presents a new approach to behavioral finance with a theoretical contribution by suggesting and discussing with examples a list of group behavioral biases along with established individual behavioral biases, bringing, hence, an additional outlook on how behavioral biases affect financial decisions. While individual behavioral biases are detected in individuals acting alone, group behavioral biases require the scrutiny of group behavior. This awareness may be particularly important to institutional investors, whose decisions basically stem from a committee or a group that will exhibit behavioral biases depending on how the group members interact between themselves when making a decision, which may include negotiation activities and not necessarily be related to personality or hierarchy. The focus on individual investors deciding on personal investments explain the need of work already developed in behavioral finance, which focus on individual behavioral biases, which may be a consequence from either cognitive errors or emotional biases. However, decisions from institutional investors basically stem from a committee or a group that will exhibit behavioral biases depending on how the group members interact between themselves when making a decision. To address the challenge of identifying causes and consequences for unexpected or unsuitable financial decision-making within a group, this work initially retrieves previous work on individual behavioral biases, linking emotional biases and cognitive errors to the “system 1” and “system 2” decision-making framework. Then, a conceptual contribution of this paper, which may be particularly relevant for institutional investors, is to explain with examples - after research and experience - which are the group behavioral biases and their impact upon financial decisions. Individual behavioral biases already acknowledged in other works on behavioral finance are contrasted in this work to the suggested group behavioral biases. Furthermore, this work suggests that there are two broad types of group behavioral biases: group dynamics biases and information-acceptance biases. Each broad type is subdivided into biases related to the structure of the group and biases related to how the group decision-making procedure occurs. Group dynamics biases related to the manner the group is structured are the following: kin bias (belonging bias), harmony bias, and competition bias. On the other hand, group dynamics biases may be sorted according to five different decision-making procedures, namely: herding, fad bias, Plato bias (denial bias), scarcity bias, and home bias.

scholarly journals Analisis Dinamika Kelompok pada Gapoktan Sekar Sari Desa Pangean Kecamatan Maduran Kabupaten Lamongan

2018 ◽  
pp. 266
Author(s):  
ELISA SURTANTIN ◽  
NYOMAN SUTJIPTA ◽  
NYOMAN PARINING
Keyword(s):  
Group Dynamics ◽  
Descriptive Analysis ◽  
Group Behavior ◽  
Psychological Approach ◽  
Group Cohesiveness ◽  
Sociological Approach ◽  
High Category ◽  
Group Members ◽  
Common Goals ◽  
Farmer Groups

Analysis of Group Dynamics at the Sekar Sari Farmers Group, Pangean Village, Maduran Sub-District of Lamongan Regency Group dynamics is a branch of social science that studies the strengths that exist in the group, looking for the cause, and the effect on individuals and groups to act dynamically. Group dynamics can determine group behavior and group members' behavior to achieve common goals. The study aims to describe group dynamics at the Sekar Sari Farmers Group. The location of the research was determined purposively by the Sekar Sari group of Pangean farmers, Maduran Subdistrict, Lamongan Regency with the population of 131 people and the sample was 58 people based on the slovin formula and the data were analyzed by using descriptive analysis. The group dynamics of the Sekar Sari farmer group were viewed through a psychological approach that classified as high category with a percentage of 73.7%. Group dynamics is seen through a sociological approach with very high category of 78.1%. The influence of sociological approach to group dynamics on the Sekar Sari farmers group is higher than the psychological approach. The combined members of the Sekar Sari farmer group are expected to further enhance group cohesiveness, the organizers are expected to pay more attention to the farmer groups, and all members of the farmers group are expected to behave dynamically to achieve common goals.

scholarly journals From Spatial Proximity to Semantic Coherence: A Quantitative Approach to the Study of Group Dynamics in Collaborative Virtual Environments

2005 ◽  
Vol 14 (1) ◽  
pp. 81-103 ◽  
Author(s):  
Chaomei Chen ◽  
Katy Börner
Keyword(s):  
Virtual Environments ◽  
Group Dynamics ◽  
Information Visualization ◽  
Digital Libraries ◽  
Group Behavior ◽  
Quantitative Approach ◽  
Spatial Proximity ◽  
Collaborative Virtual Environments ◽  
Knowledge Domains ◽  
Semantic Coherence

This article describes a quantitative approach to the study of group dynamics in Collaborative Information Visualization Environments (CIVEs). This approach characterizes group dynamics in terms of two concepts introduced in this article—spatial proximity and semantic coherence. The concepts are crucial to the understanding of profound interrelationships between spatial, semantic, and social navigation. Furthermore, this article describes three visualization techniques—semantic indentation chat sequence displays, activity maps, and clock-face maps—that permit the identification of important features of group interaction that are related to semantic coherence and spatial proximity. The approach is illustrated by applying it to the analysis of an empirical study in which four groups of subjects performed collaborative search tasks through 3D visualizations of knowledge domains. The major contribution of the work is the conceptualization and quantification of group coherence as a generic methodology for the study of a range of collaborative virtual environments such as collaborative learning, distance learning, social networks, collaborative information visualization, and digital libraries. Further research challenges for the study of group behavior in collaborative information-visualization environments are identified.

Conceptualizing intragroup and intergroup dynamics within a controlled crowd evacuation

2015 ◽  
Vol 13 (2) ◽  
pp. 109 ◽  
Author(s):  
Terra Elzie, ME ◽  
Erika Frydenlund, MS ◽  
Andrew J. Collins, PhD ◽  
R. Michael Robinson, PhD
Keyword(s):  
Decision Making ◽  
Group Dynamics ◽  
Social Factors ◽  
Social Dynamics ◽  
Critical Role ◽  
Group Behavior ◽  
Future Research ◽  
Individual Level ◽  
Crowd Modeling ◽  
The Individual

Social dynamics play a critical role in successful pedestrian evacuations. Crowd modeling research has made progress in capturing the way individual and group dynamics affect evacuations; however, few studies have simultaneously examined how individuals and groups interact with one another during egress. To address this gap, the researchers present a conceptual agent-based model (ABM) designed to study the ways in which autonomous, heterogeneous, decision-making individuals negotiate intragroup and intergroup behavior while exiting a large venue. A key feature of this proposed model is the examination of the dynamics among and between various groupings, where heterogeneity at the individual level dynamically affects group behavior and subsequently group/group interactions. ABM provides a means of representing the important social factors that affect decision making among diverse social groups. Expanding on the 2013 work of Vizzari et al., the researchers focus specifically on social factors and decision making at the individual group and group/group levels to more realistically portray dynamic crowd systems during a pedestrian evacuation. By developing a model with individual, intragroup, and intergroup interactions, the ABM provides a more representative approximation of real-world crowd egress. The simulation will enable more informed planning by disaster managers, emergency planners, and other decision makers. This pedestrian behavioral concept is one piece of a larger simulation model. Future research will build toward an integrated model capturing decision-making interactions between pedestrians and vehicles that affect evacuation outcomes.

Group Involvement in Delinquent Acts

1980 ◽  
Vol 7 (2) ◽  
pp. 185-192 ◽  
Author(s):  
Madeline G. Aultman
Keyword(s):  
Group Dynamics ◽  
Juvenile Court ◽  
Group Behavior ◽  
Montgomery County ◽  
Sexual Content ◽  
Additional Information ◽  
Sexual Structure ◽  
Violent Offenses ◽  
Group Involvement ◽  
Delinquent Group

This article focuses on the nature of group delinquency by examining the proportion of delinquency committed in groups and by exploring the size and sexual content of the groups in which delinquency is carried out. The data for the study were collected in the juvenile court in Montgomery County, Maryland. There are 225 cases in the sample. The sample was selected randomly. The notion of delinquency as group behavior is well supported by the finding that 63% of all offenses in this sample showed group involvement rather than individual behavior in the commission of delinquency. The data show that violent offenses are more likely committed by youths acting alone than in groups. Non-violent offenses are more likely committed in groups. Of female delinquencies, 57% were committed in groups, a proportion only slightly less than the proportion of male delinquencies committed in groups. Delinquencies of both males and females are more likely to involve groups of only two or three youths rather than larger group behavior. The main difference found between male and female delinquent group behavior is that females seem less likely than males to participate in groups which include more than two or three youths. It is suggested that additional information concerning the sexual structure of the group and the properties of group dynamics should be accumulated to describe the delinquent group of the 1970s and 1980s.

Group Dynamics: The Psychology of Small Group Behavior

1972 ◽  
Vol 9 (4) ◽  
pp. 203-204
Author(s):  
S. D. Vander Ark
Keyword(s):  
Small Group ◽  
Group Dynamics ◽  
Group Behavior

scholarly journals Group Dynamics in Online Games: A Literature Review in Terms of Social Identity, Conformity to Norms and Social Behavior

2021 ◽  
Keyword(s):  
Social Identity ◽  
Group Dynamics ◽  
Real Life ◽  
Group Behavior ◽  
Multiplayer Games ◽  
Negative Behaviors ◽  
Social Opportunities ◽  
Norm Group ◽  
Game Environment ◽  
Intergroup Biases

Online multiplayer games offer players social opportunities such as meeting and communicating with new people or being part of a team. From the point of group dynamics, the players develop dynamics similar to real life in the game environment. Players develop social identity based on the team membership in the game, create norms and conform to the norms in the team. Also, it is observed that players generally exhibit in group favoritism in the game environment; they have adopted norms containing prejudices against out group members; and it is seen that they carry some real life stereotypes into the game environment. Accordingly, the players may exhibit negative behaviors between groups in the game environment. Besides, findings indicate that in some cases, intergroup biases can be reduced and positive outcomes can be obtained in games, in terms of group dynamics. In this article, firstly, some findings of the literature on social identity acquisition, norm development and negative behaviors between groups are given and the features of games that encourage negative norms and behaviors are mentioned. Then, in the light of the findings in the literature, suggestions were made to improve the negative group dynamics in games. In this respect, the article can give readers an idea about group dynamics in online multiplayer games; it is thought that it can shed light to researchers and game producers on how to create more positive game environments and, beyond this, how games can be used to give people positive behavior. Keywords: Online multiplayer game, social identity, norm, group behavior

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