Using WarpPLS in E-collaboration Studies: An Overview of Five Main Analysis Steps

被引:119
作者
Kock, Ned [1 ,2 ]
机构
[1] Texas A&M Int Univ, Informat Syst, Laredo, TX 78041 USA
[2] Texas A&M Int Univ, Collaborat Int Technol Studies, Laredo, TX 78041 USA
关键词
Multivariate Statistics; Nonlinear Analysis; Partial Least Squares; Structural Equation Modeling; Virtual Teams; WarpPLS;
D O I
10.4018/jec.2010100101
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Most relationships between variables describing natural and behavioral phenomena are nonlinear, with U-curve and S-curve relationships being particularly common. Yet, structural equation modeling software tools do not estimate coefficients of association taking nonlinear relationships between latent variables into consideration. This can lead to misleading results, particularly in multivariate and complex phenomena like those related to e-collaboration. One notable exception is WarpPLS (available from: warppls.com), a new structural equation modeling software currently available in its first release. The discussion presented in this paper contributes to the literature on e-collaboration research methods by providing a description of the main features of WarpPLS in the context of an e-collaboration study. The focus of this discussion is on the software's features and their use and not on e-collaboration study itself. Particular emphasis is placed on the five steps through which a structural equation modeling analysis is conducted through WarpPLS.
引用
收藏
页码:1 / 11
页数:11
相关论文
共 7 条
[1]   A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study [J].
Chin, WW ;
Marcolin, BL ;
Newsted, PR .
INFORMATION SYSTEMS RESEARCH, 2003, 14 (02) :189-217
[2]  
Gefen D., 2000, COMMUN AIS, V4, P7, DOI DOI 10.17705/1CAIS.00407
[3]  
Haenlein M., 2004, UNDERSTANDING STAT, V3, P283, DOI [DOI 10.1207/S15328031US0304_4, 10.1207/s15328031us0304_4]
[4]  
Hair J. F, 1987, MULTIVARIATE ANAL RE, V2nd
[5]  
Kock N, 2010, WARPPLS 10 USER MANU
[6]  
Rencher AC, 1998, MULTIVARIATE STAT IN
[7]  
Rosenthal R., 2007, ESSENTIALS BEHAV RES, V3rd