题名

高中班級内友誼網絡與課業諮詢網絡的生成

并列篇名

The Generation of Friendship Networks and Academic Consulting Networks within High School Classes

DOI

10.7014/SRMA.2021040004

作者

吳秋園(Chiu-Yuan Wu);葉高華(Ko-Hua Yap)

关键词

網絡動態 ; 友誼相似性 ; 班級脈絡 ; 關係生成 ; 分離時序指數隨機圖模型 ; network dynamics ; friendship similarity ; social context of classes ; relational formation ; STERGMs

期刊名称

調查研究-方法與應用

卷期/出版年月

46期(2021 / 04 / 01)

页次

161 - 191

内容语文

繁體中文

中文摘要

本研究以某高中升學班與普通班各一班為對象,追蹤調查班級內的友誼網絡與課業諮詢網絡,並透過分離時序指數隨機圖模型(STERGMs)分析網絡的生成機制。研究結果顯示:(1)高中生選擇成績相似者交往的傾向隨著班級的升學氣氛差異而有所不同。在高度追求升學績效的班級內,以成績擇友的情形更明顯。(2)高中生挑選課業諮詢對象時頗為精打細算。他們除了向朋友詢問課業問題,也很清楚某科的問題要去請教該科成績高的同學。(3)課業諮詢是高中生友誼的來源之一。曾經提供諮詢服務的同學,爾後更容易成為課餘時間的朋友。

英文摘要

This study attempts to carry out three pioneering achievements: comparing differences in friendship networks between an elite class and a normal class in a high school, conducting surveys of academic consulting networks among high school students, and taking a lead in analyzing how high school students' friendships and consulting relationships are generated by using "separable temporal exponential random graph models" (STERGMs). Previous studies have revealed that high school students tended to form friendships with classmates who had academic performance similar to theirs, and some studies have emphasized that teenagers' friendships developed from class contexts they were in. However, the present study first reveals that class contexts will influence high school students' tendency to form friendships based on academic similarity. Many high schools in Taiwan put students with higher academic performance together in one class, and they strive all out to attend top universities or medical colleges. The academic differences between these selected elite students are usually smaller than the differences between students in normal classes. However, in this study, students of the selected elite class still can form friendships with classmates who have academic performance more similar to their own. By contrast, it is not apparent in a normal class that students form friendships depending on academic similarity. The results here show that a class context with intense focus on academic performance may indeed increase the tendency for students to choose friends based on similar grades. Secondly, most studies of teenager social networks have focused on friendships. The current study attempts to conduct surveys of high school students' academic consulting for each subject. Results demonstrate that high school students are shrewd when choosing suitable peer consultants. In addition to choosing friends as consultants directly, high school students also clearly know how to choose peer consultants for each subject based on their classmates' academic performance in each subject. Besides, it is not common to find reciprocity in such academic consulting. In many situations, the consultant does not intend to obtain helpful information from the receiver. It can be seen from this that the academic consulting network is more like a hierarchical structure. Students with lower academic performance often receive advice from students with higher academic performance unilaterally. This kind of network structure creates chances for knowledge to flow from students with higher academic performance to those with lower academic performance. On the other hand, this study reveals that academic consulting is one of the ways for high school students to develop friendships. The receivers may develop friendships with the consultants who were not friends at first. This finding implies a more significant meaning. Assuming that students with higher academic performance only establish relationships with students who are similar to them, the academic gap would be unfillable or even aggravated. If consulting relationships could be further expanded into friendships, the academic gap would be mitigated, since the consulting relationships often bridge students with higher and lower academic performance. The experience of the present study also provides beneficial inspiration for future research designs.

主题分类 社會科學 > 社會科學綜合
参考文献
  1. 張明宜, Ming-Yi,吳齊殷, Chyi-In(2013)。友誼網絡中誰的獲益更多:青少年友誼網絡與學業成就的動態分析。台灣社會學,26,97-146。
    連結:
  2. 楊天盾, Tien-Tun,熊瑞梅, RayMay(2018)。性別化的青少年友誼網絡與性別角色態度:單一性別與混合性別的班級脈絡。調查研究—方法與應用,40,7-61。
    連結:
  3. 謝雨生, Yeu-Sheng,吳齊殷, Chyi-In,李文傑, Man Kit(2006)。青少年網絡特性、互動結構和友誼動態。台灣社會學,11,175-236。
    連結:
  4. Baldwin, Timothy,Bedell, Michael,Johnson, Jonathan(1997).The Social Fabric of a Team-based MBA Program: Network Effects on Student Satisfaction and Performance.Academy of Management Journal,40(6),1369-1397.
  5. Blau, Peter(1964).Exchange and Power in Social Life.New York:John Wiley & Sons.
  6. Block, Per,Stadtfeld, Christoph,Snijders, Tom(2019).Forms of Dependence: Comparing SAOMs and ERGMs from Basic Principles.Sociological Methods & Research,48(1),202-239.
  7. Borgatti, Stephen,Cross, Rob(2003).A Relational View of Information Seeking and Learning in Social Networks.Management science,49(4),432-445.
  8. Bowker, Julie(2011).Examining Two Types of Best Friendship Dissolution during Early Adolescence.The Journal of Early Adolescence,31(5),656-670.
  9. Cho, Hichang(2007).Social Networks, Communication Styles, and Learning Performance in a CSCL Community.Computers & Education,49(2),309-329.
  10. Constant, David,Kiesler, Sara,Lee, Sproull(1994).What’s Mine Is Ours, or Is It? A Study of Attitudes about Information Sharing.Information Systems Research,5(4),400-421.
  11. Cranmer, Skyler,Desmarais, Bruce(2011).Inferential Network Analysis with Exponential Random Graph Models.Political Analysis,19(1),66-86.
  12. Desmarais, Bruce,Cranmer, Skyler(2012).Statistical Mechanics of Networks: Estimation and uncertainty.Physica A: Statistical Mechanics and Its Applications,391(4),1865-1876.
  13. Dieterich, Sara(2015).Fort Collins, Colorado,Department of Psychology, Colorado State University.
  14. Flashman, Jennifer(2012).Academic Achievement and Its Impact on Friend Dynamics.Sociology of Education,85(1),61-80.
  15. Gibbons, Deborah(2004).Friendship and Advice Networks in the Context of Changing Professional Values.Administrative Science Quarterly,49(2),238-262.
  16. Hallinan, Maureen T.,Smith, Stevens S.(1989).Classroom Characteristics and Student Friendship Cliques.Social Forces,67(4),898-919.
  17. Handcock, M., C. Butts, D. Hunter, S. Goodreau, S. de-Moll, P. Krivitsky, and M. Morris, 2015, Temporal Exponential Random Graph Models (TERGMs) for Dynamic Network Modeling in Statnet. http://statnet.csde.washington.edu/workshops/SUNBELT/current/tergm/tergm_tutorial.pdf (Date visited: April 16, 2018).
  18. Harris, Jenine(2013).An Introduction to Exponential Random Graph Modeling.Los Angeles:Sage Publications.
  19. Hsieh, Chih-Sheng,Lee, Lung Fei(2016).A Social Interactions Model with Endogenous Friendship Formation and Selectivity.Journal of Applied Econometrics,31(2),301-319.
  20. Ibarra, Herminia(1992).Homophily and Differential Returns: Sex Differences in Network Structure and Access in an Advertising Firm.Administrative Science Quarterly,37(3),422-447.
  21. Kupersmidt, Janis B.,DeRosier, Melissa E.,Patterson, Charlotte P.(1995).Similarity as the Basis for Children’s Friendships: The Roles of Sociometric Status, Aggressive and Withdrawn Behavior, Academic Achievement and Demographic Characteristics.Journal of Social and Personal Relationships,12(3),439-452.
  22. Leifeld, Philip,Cranmer, Skyler(2019).A Theoretical and Empirical Comparison of the Temporal Exponential Random Graph Model and the Stochastic Actor-Oriented Model.Network Science,7(1),20-51.
  23. Lin, Xu(2015).Utilizing Spatial Autoregressive Models to Identify Peer Effects among Adolescents.Empirical Economics,49(3),929-960.
  24. Lin, Xu(2010).Identifying Peer Effects in Student Academic Achievement by Spatial Autoregressive Models with Group Unobservables.Journal of Labor Economics,28(4),825-860.
  25. Mauss, Marcel, 1925, The Gift: The Form and Reason for Exchange in Archaic Societies. London: Routledge.
  26. Nebus, James(2006).Building Collegial Information Networks: A Theory of Advice Network Generation.The Academy of Management Review,31(3),615-637.
  27. O’reilly, Charles A,Roberts, Karlene H.(1976).Relationships among Components of Credibility and Communication Behaviors in Work Units.Journal of Applied Psychology,61(1),99-102.
  28. Parris, Melissa(2003).Work Teams: Perceptions of a Ready-Made Support System.Employee Responsibilities and Rights Journal,15(2),71-83.
  29. Rawlins, William(1992).Friendship Matters: Communication, Dialectics, and the Life Course.New York:Aldine de Gruyter.
  30. Smith, Rachel,Peterson, Brittany(2007).What Do You Think? The Relationship between Advice Prestige, Type of Advice, and Academic Performance.Communication Education,56(3),278-291.
  31. van Duijn, Marijtje,Zeggelink, Evelien,Huisman, Mark,Stokman, Frans,Wasseur, Frans(2003).Evolution of Sociology Freshmen into a Friendship Network.The Journal of Mathematical Sociology,27,153-191.
  32. Way, Niobe(2012).Close Friendships among Adolescent Boys.Boyhood Studies,6(2),116-136.
  33. Yang, Heng-Li,Tang, Jih-Hsin(2003).Effects of Social Network on Students’ Performance: A Web-based Forum Study in Taiwan.Journal of Asynchronous Learning Networks,7(3),93-107.
  34. Zhou, Shihao,Siu, Felix,Wang, Minhong(2010).Effects of Social Tie Content on Knowledge Transfer.Journal of Knowledge Management,14(3),449-463.