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Journal articles on the topic 'Group effects'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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1

Walter N. Stone. "Thinking About Our Work: Effects of Publishing on Therapists." Group 39, no. 2 (2015): 161. http://dx.doi.org/10.13186/group.39.2.0161.

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2

William Sharp and Kashfa Ahmed. "Talk and Action: Iatrogenic Effects and the Research–Practitioner Balance." Group 40, no. 4 (2016): 291. http://dx.doi.org/10.13186/group.40.4.0291.

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3

Dirik, Deniz, and Ahmet Ufuk Komuroglu. "The effect of different doeses of aspirin application on oxidative stress in ovarian tissue." Medical Science and Discovery 8, no. 8 (August 16, 2021): 475–79. http://dx.doi.org/10.36472/msd.v8i8.585.

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Objective: Aspirin is a non-steroidal anti-inflammatory drug with antioxidative properties. It is recommended to use different doses and durations according to the characteristics of the patient and the type of disease. Therefore, in this study, we aimed to investigate the effect of using aspirin at different doses and for different durations on oxidative stress in ovarian tissue. Material and Methods: Female Wistar albino rats were divided into five groups. Group 1: control group, no special treatment was applied to the rats in this group. Group 2: 1 mg/kg aspirin was administered orally to the rats in this group every day for 28 days. Group 3: 3 mg/kg aspirin was administered orally to rats in this group every three days. Ggroup 4: 5 mg/kg aspirin was administered orally to rats in this group every five days. Group 5: 7 mg/kg aspirin was administered orally to the rats in this group once a week. After fasting overnight following the last application, the rats were sacrificed, and their ovarian tissues were collected. Malondialdehyde, catalase, total thiol group, and AOPP levels were studied from ovarian tissue. Results: Group4 and group5 ovarian tissue MDA levels were found to be significantly higher than the other groups (p<0.05). There was no significant difference between group1, group2 and group3 ovarian tissue MDA levels (p>0.05). Group1 (control group) ovarian tissue AOPP level was found to be significantly lower than all aspirin-administered groups (p<0.05). Group2 ovarian tissue AOPP level was found to be significantly lower than group3, group4 and group5 (p<0.05). TSG level was found to be significantly higher in group 5 when compared to other groups (p0<0.05). Group4 ovarian tissue TSG level was found to be significantly higher when compared to group1, group2 and group3 (p<0.05). Group3 and group4 ovarian tissue CAT activity was found to be significantly higher than group1, group2 and group5 (p<0.05). When group1, group2 and group5 ovarian tissue CAT activities were compared, no significant difference was found (p>0.05). Conclusion: The application of aspirin at certain intervals rather than daily application may have more positive effects on the antioxidant system. especially taking aspirin at intervals of 3 or 5 days may be more effective
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4

Teresa Solomita. "Comments on “Thinking About Our Work: Effects of Publishing on Therapists”." Group 39, no. 2 (2015): 167. http://dx.doi.org/10.13186/group.39.2.0167.

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5

Adelopo, Ismail, Joseph Asante, Eleanor Dart, and Ibrahim Rufai. "Learning groups: the effects of group diversity on the quality of group reflection." Accounting Education 26, no. 5-6 (May 22, 2017): 553–75. http://dx.doi.org/10.1080/09639284.2017.1327360.

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6

Walter N. Stone. "Reply to Comments on “Thinking About Our Work: Effects of Publishing on Therapists”." Group 39, no. 2 (2015): 171. http://dx.doi.org/10.13186/group.39.2.0171.

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7

Ostrom, Thomas M., and Constantine Sedikides. "Out-group homogeneity effects in natural and minimal groups." Psychological Bulletin 112, no. 3 (November 1992): 536–52. http://dx.doi.org/10.1037/0033-2909.112.3.536.

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8

Bliese, Paul D., and Ronald R. Halverson. "GROUP SIZE, GROUP PROCESS EFFECTS AND ICC VALUES." Academy of Management Proceedings 1996, no. 1 (August 1996): 333–37. http://dx.doi.org/10.5465/ambpp.1996.4980885.

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9

Ohrt, Jonathan H., E. H. “Mike” Robinson, and W. Bryce Hagedorn. "Group Leader Development: Effects of Personal Growth and Psychoeducational Groups." Journal for Specialists in Group Work 38, no. 1 (March 2013): 30–51. http://dx.doi.org/10.1080/01933922.2012.732982.

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10

Wittenbaum, Gwen M., Hillary C. Shulman, and Mary E. Braz. "Social Ostracism in Task Groups: The Effects of Group Composition." Small Group Research 41, no. 3 (May 21, 2010): 330–53. http://dx.doi.org/10.1177/1046496410363914.

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11

Yang, Zhaohui, and Boris Jeremi? "Numerical study of group effects for pile groups in sands." International Journal for Numerical and Analytical Methods in Geomechanics 27, no. 15 (2003): 1255–76. http://dx.doi.org/10.1002/nag.321.

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12

Muschalla, Beate, Bianka Flöge, and Michael Linden. "UNWANTED EFFECTS WITHIN A COGNITIVE BEHAVIORAL THERAPY GROUP IN COMPARISON WITH A RECREATIONAL GROUP - A CLUSTER-RANDOMIZED CONTROLLED TRIAL." Psychiatria Danubina 32, no. 1 (April 15, 2020): 115–21. http://dx.doi.org/10.24869/psyd.2020.115.

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13

Sandu, Antonio, and Polixenia Nistor. "Group Syntality - Causes, Effects, Manifestations." Logos Universality Mentality Education Novelty: Social Sciences 9, no. 2 (December 20, 2020): 84–88. http://dx.doi.org/10.18662/lumenss/9.2/46.

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Each group differs from the others, and the difference consists of its own characteristics, which do not represent a simple sum of the characteristics of the individuals that make up the group. The syntality of the group makes individuals lose their importance - when we talk about collective behaviors - and what matters is rather the group as a whole, which is able to create collective behaviors, as a result of the languages, codes and rituals that characterize the group. Syntality predicts the behavior of the group starting from its constituents, as mentioned above. The article aims to analyze the psycho-social dimensions of group syntality, in terms of its causes, effects and manifestations.
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14

Gaure, Simen. "lfe: Linear Group Fixed Effects." R Journal 5, no. 2 (2013): 104. http://dx.doi.org/10.32614/rj-2013-031.

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15

Kenny, David A., and Lawrence la Voie. "Separating individual and group effects." Journal of Personality and Social Psychology 48, no. 2 (1985): 339–48. http://dx.doi.org/10.1037/0022-3514.48.2.339.

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16

Mislevy, Robert J. "Estimation of Latent Group Effects." Journal of the American Statistical Association 80, no. 392 (December 1985): 993–97. http://dx.doi.org/10.1080/01621459.1985.10478215.

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17

Красовский and Yuriy Krasovskiy. "Facilitating Effects of Group Behavior." Management of the Personnel and Intellectual Resources in Russia 4, no. 1 (February 17, 2015): 5–12. http://dx.doi.org/10.12737/8122.

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The paper describes specifi c ways, in which the phenomenon of social facilitation manifests itself in the teamwork of an organizational unit staff , peculiarities of teamwork under specifi c conditions, the role of a leader, i.e. moderator, in arranging the workers’ successful creative activities. Also analyzed are typical mistakes in moderators’ behavior, being the result of ignorance of certain social and psychological patterns. The paper provides concrete managerial cases and algorithms on how to assess each case, shows how the group standard-setting process works; describes six alternatives of how role leadership positions can come into play and specifi cs of little groups formation under the conditions of spontaneous set-up and consolidation of group standards of conduct, group sanctions of group opinions, group diversity of roles and statuses in the context of any given group orientation towards a leadership position, which can manifest itself in various role-playing combinations. Also proposed are basic criteria to assess how well organizational culture of management is being shaped. The paper in based on the author’s personal experience in moderating, managing and consulting with respect to his work with the large US-Russian holding company (embracing 24 fi rms) as the Director for Strategic Development and Human Resource Management.
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18

Oberhammer, H. "Structural effects of SF5-group." Journal of Fluorine Chemistry 29, no. 1-2 (August 1985): 80. http://dx.doi.org/10.1016/s0022-1139(00)83316-3.

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19

JENAB, K., and B. S. DHILLON. "GROUP-BASED FAILURE EFFECTS ANALYSIS." International Journal of Reliability, Quality and Safety Engineering 12, no. 04 (August 2005): 291–307. http://dx.doi.org/10.1142/s0218539305001835.

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This paper presents the multi-based experts Failure Effects Analysis (FEA). The experts' opinions differ substantially because the experts do not often agree on the level of the failure factors (failure probability, non-detection probability, severity of effect, and expected cost) and the functions/subsystems attributes (e.g., importance). Therefore, conflict always occurs in Group-based Failure Effects Analysis (GFEA). The approach uses fuzzy Risk Priority Category (RPC) and group decision-making techniques to study both the failure effects on the functions/subsystems and the failure risk category with uncertain information. In addition, the approach uses the compensated operators to allow the tradeoffs either among failure factors or among functions/subsystems attributes. A solved example is presented to demonstrate the Group-based Failure Effects Analysis (GFEA) application.
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20

Carron, Albert V., Harry Prapavessis, and J. Robert Grove. "Group Effects and Self-Handicapping." Journal of Sport and Exercise Psychology 16, no. 3 (September 1994): 246–57. http://dx.doi.org/10.1123/jsep.16.3.246.

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The purpose of this investigation was to examine the relationship of group cohesion to self-handicapping. The first issue focused on the relationship between the personality trait of self-handicapping and perceptions of group cohesion. A significant negative relationship (p < .001) was found between individual differences in the self-handicapping trait of making excuses and perceptions of the group's task cohesiveness. The second issue focused on whether group cohesion serves to moderate the relationship between the trait of self-handicapping and the use of self-handicapping strategies. The results showed that social cohesion was a significant (p < .006) moderator between the tendency to make excuses and the use of self-handicapping strategies. When social cohesion was high, the tendency to make excuses was positively related to the degree to which impediments to preparation for competition were perceived to be present.
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21

Blumstein, Daniel T., Janice C. Daniel, and Ian G. McLean. "Group size effects in quokkas." Australian Journal of Zoology 49, no. 6 (2001): 641. http://dx.doi.org/10.1071/zo01032.

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The amount of time allocated to vigilance, foraging, and locomotion as a function of group size were studied in the quokka (Setonix brachyurus), a small, moderately social, macropodid marsupial, on Rottnest Island. Despite living in isolation from most predators for up to 7000 years, quokkas exhibited typical group size effects of aggregation: they foraged more and showed less visual vigilance as group size increased. Group size effects, therefore, may result from factors other than antipredator benefits. In groups larger than 10, quokkas, uniquely among macropodids, allocated virtually all of their time to foraging and none to looking. Given virtually no predation risk on Rottnest Island and no antipredator benefit from aggregation, competition for food or other resources may also be important factors influencing time allocation in quokkas. Quokkas seemingly retained some apparent antipredator behaviour: they remained sensitive to the distance they were from cover and to the time of day when allocating time to foraging and looking.
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22

Chen, Son-Nan, and Arthur J. Keown. "GROUP EFFECTS AND BETA NONSTATIONARITY." Journal of Business Finance & Accounting 12, no. 4 (December 1985): 595–608. http://dx.doi.org/10.1111/j.1468-5957.1985.tb00797.x.

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23

Yoon-Jung Baek and 한상숙. "The Effects of Group Conflict on Group Creativity：Moderating Effects of Leadership Style and Communication." Knowledge Management Society of Korea 9, no. 3 (December 2008): 1–19. http://dx.doi.org/10.15813/kmr.2008.9.3.001.

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24

Adams, Jeffrey B., Jerome Adams, Robert W. Rice, and Debra Instone. "Effects of Perceived Group Effectiveness and Group Role on Attributions of Group Performance1." Journal of Applied Social Psychology 15, no. 5 (August 1985): 387–98. http://dx.doi.org/10.1111/j.1559-1816.1985.tb00914.x.

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25

Fellnhofer, Katharina, Kaisu Puumalainen, and Helena Sjögrén. "Entrepreneurial orientation in work groups – effects of individuals and group characteristics." International Entrepreneurship and Management Journal 13, no. 2 (July 30, 2016): 427–63. http://dx.doi.org/10.1007/s11365-016-0408-5.

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26

Okan, Elif, Selin Dilli, and Alev Bengül Çabuk. "Effects of Nationalism on In-group and Out-group Reliability." International Journal of Diversity in Organizations, Communities, and Nations: Annual Review 7, no. 2 (2007): 179–86. http://dx.doi.org/10.18848/1447-9532/cgp/v07i02/39364.

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27

Reinig, Bruce A., and Bongsik Shin. "The Dynamic Effects of Group Support Systems on Group Meetings." Journal of Management Information Systems 19, no. 2 (October 2002): 303–25. http://dx.doi.org/10.1080/07421222.2002.11045728.

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28

Seong, Jee Young, and Jin Nam Choi. "Effects of Group-Level Fit on Group Conflict and Performance." Group & Organization Management 39, no. 2 (January 6, 2014): 190–212. http://dx.doi.org/10.1177/1059601113517138.

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29

Keenan, Patricia A., and Peter J. D. Carnevale. "Positive Effects of Within-Group Cooperation on Between-Group Negotiation1." Journal of Applied Social Psychology 19, no. 12 (September 1989): 977–92. http://dx.doi.org/10.1111/j.1559-1816.1989.tb01233.x.

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30

Stasson, Mark F., Tatsuya Kameda, Craig D. Parks, Suzi K. Zimmerman, and James H. Davis. "Effects of Assigned Group Consensus Requirement on Group Problem Solving and Group Members' Learning." Social Psychology Quarterly 54, no. 1 (March 1991): 25. http://dx.doi.org/10.2307/2786786.

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31

Nesdale, Drew, Anne Maass, Jeff Kiesner, Kevin Durkin, Judith Griffiths, and Andreas Ekberg. "Effects of peer group rejection, group membership, and group norms, on children's outgroup prejudice." International Journal of Behavioral Development 31, no. 5 (September 2007): 526–35. http://dx.doi.org/10.1177/0165025407081479.

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This study examined the effects on 6- and 8-year old children ( n = 160) of rejection versus acceptance by an initial group, the reason for the rejection or acceptance (personal versus category-based), and the norms (inclusion versus exclusion) of a new group to which the children were assigned, on their negative affect and attitudes towards the initial group, new group and an outgroup. Results showed that rejected compared with accepted children had a negative attitude towards the initial group, but that both were equally positive towards their new group. In addition, whereas accepted participants were less positive towards the outgroup, rejected participants displayed outgroup prejudice. Results also revealed main effects on group attitudes of participants' age and group norms, as well as a peer status × status reason interaction, but participants' negative affect was only affected by their age. The basis of the effect of peer group rejection on outgroup prejudice is discussed.
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32

Tziner, Aharon E. "Group Composition Effects On Task Performance." Small Group Behavior 17, no. 3 (August 1986): 343–54. http://dx.doi.org/10.1177/104649648601700305.

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33

Spink, Kevin S., and Albert V. Carron. "Group Cohesion Effects in Exercise Classes." Small Group Research 25, no. 1 (February 1994): 26–42. http://dx.doi.org/10.1177/1046496494251003.

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34

Mackie, Diane M. "Social identification effects in group polarization." Journal of Personality and Social Psychology 50, no. 4 (1986): 720–28. http://dx.doi.org/10.1037/0022-3514.50.4.720.

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35

Pisani, L., and E. Clementi. "Relativistic effects on sixth group monohydrides." Journal of Chemical Physics 103, no. 21 (December 1995): 9321–23. http://dx.doi.org/10.1063/1.469991.

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36

Wilkinson, Ian A. G., and Irene Y. Y. Fung. "Small-group composition and peer effects." International Journal of Educational Research 37, no. 5 (January 2002): 425–47. http://dx.doi.org/10.1016/s0883-0355(03)00014-4.

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37

Pitkälä, K. H. "IS8.03: Effects of psychosocial group rehabilitation." European Geriatric Medicine 5 (September 2014): S11. http://dx.doi.org/10.1016/s1878-7649(14)70034-8.

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38

Di Cyan, Erwin. "Some Effects of Group Drug Taking." Perspectives in Biology and Medicine 37, no. 3 (1994): 429–35. http://dx.doi.org/10.1353/pbm.1994.0016.

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39

Wu, Jiahua, Mengze Shi, and Ming Hu. "Threshold Effects in Online Group Buying." Management Science 61, no. 9 (September 2015): 2025–40. http://dx.doi.org/10.1287/mnsc.2014.2015.

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40

Peña, Jorge, and Georg Nöldeke. "Group size effects in social evolution." Journal of Theoretical Biology 457 (November 2018): 211–20. http://dx.doi.org/10.1016/j.jtbi.2018.08.004.

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41

Pisani, L., and E. Clementi. "Relativistic effects on sixth group hydrides." Journal of Chemical Physics 101, no. 4 (August 15, 1994): 3079–84. http://dx.doi.org/10.1063/1.468470.

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42

Oestreich, Martin. "Neighbouring-Group Effects in Heck Reactions." European Journal of Organic Chemistry 2005, no. 5 (March 2005): 783–92. http://dx.doi.org/10.1002/ejoc.200400711.

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43

Arnott, Richard, and John Rowse. "Peer group effects and educational attainment." Journal of Public Economics 32, no. 3 (April 1987): 287–305. http://dx.doi.org/10.1016/0047-2727(87)90034-x.

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44

Florin, Paul, Gary A. Giamartino, David A. Kenny, and Abraham Wandersman. "Levels of Analysis and Effects: Clarifying Group Influence and Climate by Separating Individual and Group Effects." Journal of Applied Social Psychology 20, no. 11 (June 1990): 881–900. http://dx.doi.org/10.1111/j.1559-1816.1990.tb01466.x.

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45

Thye, Shane, Edward J. Lawler, and Jeongkoo Yoon. "The Formation of Group Ties in Open Interaction Groups." Social Psychology Quarterly 82, no. 2 (April 29, 2019): 158–81. http://dx.doi.org/10.1177/0190272518813562.

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We examine how task jointness and group incentive structures bear on the nature and strength of the affective and cognitive ties that people forge to a group. The argument is that affective group ties have stronger effects on social order than cognitive group ties. There are two general hypotheses. First, joint tasks generate stronger cognitive and affective ties to groups, whereas group incentives generate cognitive but not necessarily affective ties to the group. Second, affective ties more effectively solve two fundamental problems of social order in groups: (1) sustaining membership (also known as stay behavior) and (2) generating the joint gains of further collaboration (cooperation). The theoretical logic is that joint tasks promote a sense of shared responsibility, and this leads members to attribute their individual emotions to the group as an object, whereas alignment of individual and group incentives does not produce such effects. The theory and hypotheses are tested experimentally in four-person open interaction groups, manipulating task jointness (high, low, none) and incentives (individual based vs. group based). The results generally support the hypotheses underlying the theoretical logic. Affective ties to groups are based primarily on levels of task jointness, and such tasks have stronger effects than incentives on the capacity of groups to retain membership and induce cooperation in social dilemmas.
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46

Poon, Grace M. Y., and J. Keith Murnighan. "The Interaction Effects of Faultline on Group Perception and Group Viability." Academy of Management Proceedings 2019, no. 1 (August 1, 2019): 16156. http://dx.doi.org/10.5465/ambpp.2019.16156abstract.

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47

Liang, Jessica (Yongyi), Ming Nick Yan, Xiaoping Chu, and Amy Chen, Yuanyi. "An Investigation of the Inter-Group Effects of Leader Group Prototypicality." Academy of Management Proceedings 2018, no. 1 (August 2018): 13115. http://dx.doi.org/10.5465/ambpp.2018.13115abstract.

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48

Smith-Lovin, Lynn, and Charles Brody. "Interruptions in Group Discussions: The Effects of Gender and Group Composition." American Sociological Review 54, no. 3 (June 1989): 424. http://dx.doi.org/10.2307/2095614.

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49

ZHANG, Jinghuan, Xin LIU, Feifei REN, Xiangwei SUN, and Qi YU. "The effects of group diversity and organizational support on group creativity." Acta Psychologica Sinica 48, no. 12 (2016): 1551. http://dx.doi.org/10.3724/sp.j.1041.2016.01551.

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50

Cheng, Pi-Yueh, and Wen-Bin Chiou. "Framing Effects in Group Investment Decision Making: Role of Group Polarization." Psychological Reports 102, no. 1 (February 2008): 283–92. http://dx.doi.org/10.2466/pr0.102.1.283-292.

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Prospect theory proposes that framing effects result in a preference for risk-averse choices in gain situations and risk-seeking choices in loss situations. However, in group polarization situations, groups show a pronounced tendency to shift toward more extreme positions than those they initially held. Whether framing effects in group decision making are more prominent as a result of the group-polarization effect was examined. Purposive sampling of 120 college students (57 men, 63 women; M age = 20.1 yr., SD = 0.9) allowed assessment of relative preference between cautious and risky choices in individual and group decisions. Findings indicated that both group polarization and framing effects occur in investment decisions. More importantly, group decisions in a gain situation appear to be more cautious, i.e., risk averse, than individual decisions, whereas group decisions in the loss situation appear to be more risky than individual decisions. Thus, group decision making may expand framing effects when it comes to investment choices through group polarization.
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