Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29134
Title: Socialization in open source software projects : a growth mixture modeling approach
Authors: Qureshi, I 
Fang, Y
Keywords: latent class analysis
latent class growth models
latent growth models
longitudinal data analysis
quantitative: structural equation modeling
Issue Date: 2011
Publisher: Sage Publications Inc
Source: Organizational research methods, 2011, v. 14, no. 1, p. 208-238 How to cite?
Journal: Organizational Research Methods 
Abstract: The success of open source software (OSS) projects depends heavily on the voluntary participation of a large number of developers. To remain sustainable, it is vital for an OSS project community to maintain a critical mass of core developers. Yet, only a small number of participants (identified here as "joiners") can successfully socialize themselves into the core developer group. Despite the importance of joiners' socialization behavior, quantitative longitudinal research in this area is lacking. This exploratory study examines joiners' temporal socialization trajectories and their impacts on joiners' status progression. Guided by social resource theory and using the growth mixture modeling (GMM) approach to study 133 joiners in 40 OSS projects, the authors found that these joiners differed in both their initial levels and their growth trajectories of socialization and identified four distinct classes of joiner socialization behavior. They also found that these distinct latent classes of joiners varied in their status progression within their communities. The implications for research and practice are correspondingly discussed.
URI: http://hdl.handle.net/10397/29134
DOI: 10.1177/1094428110375002
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