article

Cohesion in virtual teams: validating the perceived cohesion scale in a distributed setting

Authors:

Wm. David Salisbury,

Traci A. Carte,

Laku ChidambaramAuthors Info & Claims

ACM SIGMIS Database: the DATABASE for Advances in Information Systems, Volume 37, Issue 2-3

Pages 147 - 155

https://doi.org/10.1145/1161345.1161362

Published: 19 September 2006 Publication History

Abstract

With the advent of new technology-enabled organizational forms, firms are increasingly relying on virtual teams to accomplish organizational objectives. For those studying these environments, sound measurement of work team phenomena, such as group cohesion, is the key to understanding the impact of these new technologies on team processes and performance. Bollen and Hoyle (1990) created a six-item Perceived Cohesion Scale (PCS) to measure cohesion in groups and employed a study of large groups to assess the psychometric qualities of their scale. Chin et al. (1999) validated the PCS measure using a study of small groups that were collocated. The present effort extends the Chin et al. (1999) adaptation of Bollen and Hoyle's PCS scale to virtual teams and attempts to validate it in this setting. Our findings indicate support for the validity, reliability and factorial stability of the measure in this virtual team context.

References

[1]

Arbuckle, J. (1999). AMOS 4.0 Documentation Package, Chicago: Small Waters.

[2]

Bagozzi, R.P. and Yi, Y. (1988). "On the Evaluation of Structural Equation Models," Journal of the Academy of Marketing Science, Vol.16, pp. 74--94.

[3]

Bentler, P.M (1990). "Comparative Fit Indices in Structural Models," Psychological Bulletin, Vol.107, pp. 238--246.

[4]

Bentler, P.M., and Bonnet, D.G. (1980). "Significance Tests and Goodness of Fit in the Analysis of Covariance Structures", Psychological Bulletin, Vol.88, pp. 588-606.

[5]

Boudreau, M.C., Gefen, D., and Straub, D.W. (2001). "Validation in Information Systems Research: A State-of-the-Art Assessment," MIS Quarterly, Vol.25, No.1, pp. 1--16.

Digital Library

[6]

Bollen, K.A. (1986). "Sample Size and Bentler and Bonnet's Nonnormed Fit Index," Psychometrika, Vol.51, 375--377.

[7]

Bollen, K.A. (1989). Structural Equations Modeling with Latent Variables, New York: Wiley.

[8]

Bollen, K. A. and Hoyle, R. H. (1990). "Perceived Cohesion: a Conceptual and Empirical Examination," Social Forces, Vol.69, No.2, pp. 479--504.

[9]

Bollen, K. A., and Stine, R. A. (1993). "Bootstrapping Goodness-of-Fit Measures in Structural Equation Models," in Bollen, K. A., and Long, J. S. (Eds.) Testing Structural Equation Models, Newbury Park, CA: Sage, pp. 111--135.

[10]

Bormann, E. (1983). "Symbolic Convergence: Organizational Communication and Culture," in Putnam, L.L., and Pacanowsky, M.E. (Eds.), Communication and Organizations: An Interpretive Approach, Beverly Hills, CA: Sage, pp. 99--122.

[11]

Bormann, E. (1996). "Symbolic Convergence Theory and Communication in Group Decision Making," in Hirokawa, R., and Poole, M. (Eds.), Communication and Group Decision Making (2nd ed.), Thousand Oaks, CA: Sage, pp. 81--113.

[12]

Bormann, E., Cragan, J., and Shields, D. (1994). "In Defense of Symbolic Convergence Theory: A Look at the Theory and Its Criticism after Two Decades," Communication Theory, Vol.4, pp. 259--294.

[13]

Bormann, E., Knutson, R., and Musolf, K. (1997). "Why Do People Share Fantasies? An Empirical Investigation of a Basic Tenet of the Symbolic Convergence Communication Theory," Com-munication Studies, Vol.48, pp. 254--276.

[14]

Browne, M.W. and Cudeck, R.A. (1993). "Alternative Ways of Assessing Model Fit," in Bollen, K.A., and Long, J.S. (Eds.), Testing Structural Equation Models, Newbury Park, CA: Sage, pp. 136--162.

[15]

Chidambaram, L. (1996). "Relational Development in Computer-Supported Groups," MIS Quarterly, Vol.20, No.2, pp. 143--165.

Digital Library

[16]

Chin, W.W., Salisbury, W.D., Pearson, A.W., and Stollak, M.J. (1999). "Perceived Cohesion in Small Groups: Adapting and Testing the Perceived Cohesion Scale in a Small Group Setting," Small Group Research, Vol.30, No.6, pp. 751--766.

[17]

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.), Hillsdale, NJ: Lawrence Earlbaum Associates.

[18]

Cook, T.D. and Campbell, D.T. (1979). Quasi-Experimentation: Design and Analysis Issues, Boston, MA: Houghton Mifflin Company.

[19]

DeSanctis, G. (1988). "Small Group Research in Information Systems: Theory and Method," Paper presented at the Harvard Colloquium on Experimental Research in Information Systems, University of British Columbia, August 19-20.

[20]

Guzzo, R.A. and Dickson, M.W. (1996). "Teams in Organizations: Recent Research on Performance and Effectiveness," Annual Review of Psychology, Vol.47, pp. 307--338.

[21]

Griffin, E. (1997). A First Look at Communication Theory (3rd ed.), New York: McGraw-Hill.

[22]

Hair, J.F., Jr., Anderson, R.E., Tatham, R.L., and Black, W.C. (1998). Multivariate Data Analysis with Readings (5th ed.), Englewood Cliffs, NJ: Prentice-Hall.

Digital Library

[23]

Hartley, P. (1997). Group Communication, London, U.K.: Routledge.

[24]

Hoffer, J.A., Prescott, M.B., and McFadden, F.R. (2002). Modern Database Management (6th ed.), Upper Saddle River, NJ: Prentice-Hall.

Digital Library

[25]

Hogg, M.A. (1987). "Social Identity and Group Cohesiveness," in Turner, J.C., Hogg, M.A., Oakes, P.J., Reicher, S.D., and Wetherell, M.S. (Eds.), Rediscovering the Social Group: A Self-Categorization Theory, Oxford: Basil-Blackwell, pp. 89--116.

[26]

Hogg, M., and Tinsdale, T.S. (2001). Handbook of Social Psychology: Group Processes, Malden, MA: Blackwell.

[27]

Hollingshead, A.B., and McGrath, J.E. (1995). "Computer-assisted Groups: A Critical Review of Empirical Research," in Guzzo, R.A., and Salas, E. (Eds.), Team Effectiveness and Decision Making in Organizations, San Francisco, CA: Jossey-Bass, pp. 46--78.

[28]

Hu, L.T., and Bentler, P.M. (1995). "Evaluating Model Fit," in Hoyle, R.H. (Ed.), Structural Equation Modeling: Concepts, Issues, and Applications, Thousand Oaks, CA: Sage, pp. 76--99.

[29]

Information Technology Services, University of Texas (2003). AMOS FAQ #3: Multiple Group Analysis. Online: http://www.utexas.edu /cc /faqs/stat/amos/amos3.html (accessed January 2004)

[30]

Johansen, R. (1988). Groupware: Computer Support for Business Teams, New York: Free Press.

Digital Library

[31]

Joreskog, K.G. and Sorbom, D. (1988). LISREL 7: A Guide to the Program and Applications, Chicago: SPSS Inc.

[32]

Kline, R.B. (1998). Principles and Practice of Structural Equation Modeling, New York: Guilford Press.

[33]

Langfred, C. (1998). "Is Group Cohesiveness a Double-Edged Sword? An Investigation of the Effects of Cohesiveness on Performance," Small Group Research, Vol.29, No.1, pp. 124--143.

[34]

Lott, A.J. and Lott, B.E. (1965). "Group Cohesiveness as Intrapersonal Attraction: A review of relationships with antecedent and consequent variables," Psychological Bulletin, Vol.64, pp. 259--309.

[35]

MacCallum, R.C. and Tucker, L.R. (1991). "Representing sources of error in common factor analysis: Implications for theory and practice," Psychological Bulletin, Vol.109, pp. 501--511.

[36]

McDonald, R.P. and Marsh, H.W. (1990). "Choosing a Multivariate Model: Noncentrality and Goodness of Fit," Psychological Bulletin, Vol.107, No.2, pp. 247--255.

[37]

Meredith, W. (1993) "Measurement Invariance, Factor Analysis and Factorial Invariance, Psychometrika, Vol.58, No.4, pp. 525--543.

[38]

Rosenfeld, L.B. and Gilbert, J.R. (1989). "The Measurement of Cohesion and its Relationship to Dimensions of Self-disclosure in Classroom Settings," Small Group Behavior, Vol.20, No.3, pp. 291--301.

[39]

Saris, W.E., and Stronkhorst, L.H. (1984). Causal Modeling in Nonexperimental Research: An Introduction to the LISREL Approach, Amsterdam: Sociometric Research Foundation.

[40]

Seashore, S. (1954). Group Cohesiveness in the Industrial Work Group, Ann Arbor: University of Michigan Press.

[41]

Stine, R. (1989). "An Introduction to Bootstrap Methods: Examples and Ideas". Sociological Methods and Research, Vol.8, pp. 243--291.

[42]

Stokes, J.P. (1983). "Components of Group Cohesion: Intermember Attraction, Instrumental Value, and Risk taking," Small Group Behavior, Vol.14, No.2, pp. 163--173.

[43]

Tucker, L.R. and Lewis, C. (1973). "A Reliability Coefficient for Maximum Likelihood Factor Analysis," Psychometrika, Vol.38, pp. 1--10.

[44]

Turner, M.E., Pratkanis, A.R., Probasco, P., and Leve, C. (1992). "Threat, Cohesion, and Group Effectiveness: Testing a Social Identity Maintenance Perspective on Groupthink," Journal of Personality and Social Psychology, Vol.63, No.5, pp. 781--796.

[45]

Wheaton, B., Muthen, B., Alwin, D., and Summers, G. (1977). "Assessing Reliability and Stability in Panel Models," in Heise, D. (Ed.), Sociological Methodology, San Francisco: Jossey-Bass, pp. 84--136.

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Cohesion in virtual teams: validating the perceived cohesion scale in a distributed setting

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Published In

cover image ACM SIGMIS Database: the DATABASE for Advances in Information Systems

ACM SIGMIS Database: the DATABASE for Advances in Information Systems Volume 37, Issue 2-3

Spring-Summer 2006

178 pages

ISSN:0095-0033

EISSN:1532-0936

DOI:10.1145/1161345

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Copyright © 2006 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 September 2006

Published in SIGMIS Volume 37, Issue 2-3

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Musgrove MKo MSchinske JCorwin L(2024)Broadening Participation in Biology Education Research: A role for affinity groups in promoting social connectivity, self-efficacy, and belongingCBE—Life Sciences Education10.1187/cbe.23-01-000423:1Online publication date: Mar-2024
https://doi.org/10.1187/cbe.23-01-0004
Harrison AWindeler JSundrup R(2024)Me versus we: How group detachment and social presence shape integration strategies in short-term technology-mediated groupsInformation & Management10.1016/j.im.2024.10399861:6(103998)Online publication date: Sep-2024
https://doi.org/10.1016/j.im.2024.103998
Nemiro J(2023)Virtual teamsHandbook of Organizational Creativity10.1016/B978-0-323-91840-4.00007-4(269-290)Online publication date: 2023
https://doi.org/10.1016/B978-0-323-91840-4.00007-4
YURDAKUL AÇELİK K(2022)Eğitim Örgütlerinde Grup İçi Bağlılık: Bir Ölçek Geliştirme ÇalışmasıGroup Cohesion In Educational Organizations: A Scale Development StudyMersin Üniversitesi Eğitim Fakültesi Dergisi10.17860/mersinefd.95040918:2(116-131)Online publication date: 22-Aug-2022
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Chaudhary MChopra SKaur J(2022)Cohesion as a cardinal antecedent in virtual team performance: a meta-analysisTeam Performance Management: An International Journal10.1108/TPM-02-2022-001728:5/6(398-414)Online publication date: 14-Jun-2022
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Garro-Abarca VPalos-Sanchez PAguayo-Camacho M(2021)Virtual Teams in Times of Pandemic: Factors That Influence PerformanceFrontiers in Psychology10.3389/fpsyg.2021.62463712Online publication date: 17-Feb-2021
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Jony ASerradell-López E(2021)Key Factors that Boost the Effectiveness of Virtual Teamwork in Online Higher EducationResearch and Innovation Forum 202010.1007/978-3-030-62066-0_15(183-198)Online publication date: 12-Feb-2021
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