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Examining the Impact of Multicollinearity in Discovering Higher-Order Factor Models
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2014 | Communications of the Association for Information Systems | Citations: 0
Authors: Schwarz, Colleen; Schwarz, Andrew; Black, William C.

Abstract: Theory-driven structural equation modeling (SEM) is an increasingly popular tec ... Expand

Abstract: Theory-driven structural equation modeling (SEM) is an increasingly popular technique for analyzing quantitative data in Information Systems research. Since 1994, 20% of all papers in top-tier journals use structural equation modeling [Urbach and Ahlemann, 2010]. Higher-order factor structures have been widely discussed from a number of theoretical perspectives [e.g., Bagozzi and Edwards, 1998;Hayduk, Ratner, Johnson and Bottorff, 1995;Law, Wong and Mobley, 1998]. Our intention is not to contradict these theoretical discussions but to postulate that empirical analysis can assist in the discovery of emergent higher-order structures where perhaps not initially proposed. As constructs have become both more numerous and specific, the existence of higher levels of multicollinearity, even when discriminant validity is evident, are becoming problematic for assessing the role of individual constructs. Thus, there becomes a need for a higher-order structure to represent these relationships. In this paper, we present a six-step methodology for researchers who have structural models suffering from multicollinearity, positing that multicollinearity can obscure an underlying higher-order structure. We present findings from an empirical study where multicollinearity had masked the presence of a higher-order structure. We conclude with a proposed methodology for discovering higher-order factor models. Collapse

Semantic filters: drive theory

Topics: outsourcing database system IT manager

Methods: survey SEM tool theory development structural equation modeling data transformation

Theories: drive theory
User-generated content (UGC) in tourism: Benefits and concerns of online consumers

2009 | European Conference On Information Systems | Citations: 0
Authors: Verhagen, Tibert; Feldberg, Frans

Abstract: This study reports an attempt to enhance our understanding of the reasons behind ... Expand

Abstract: This study reports an attempt to enhance our understanding of the reasons behind virtual world usage. By providing a mixture of utilitarian and hedonic value, virtual worlds represent an emerging class of multipurpose information systems (MPIS). Previous research seems to fall short in explaining MPIS adoption, especially since key extrinsic and intrinsic motivators are not considered. Drawing upon IT adoption research, motivation theory and the consumer behavior literature, this research extends available works and provides insight into the influence and roles of extrinsic and intrinsic motivation. Hypotheses are postulated and tested using a sample of 1627 users of the virtual world Second Life. The results confirm the majority of the hypotheses and support the comprehensive model. The findings indicate instantaneous effects of extrinsic and intrinsic motivation, and highlight reinforcing effects of intrinsic motivation. Implications for research and practice are discussed. Collapse

Semantic filters: drive theory

Topics: virtual world perceived usefulness intrinsic motivation perceived ease of use Second Life

Methods: partial least squares regression survey factor analysis structural equation modeling Student's t-test

Theories: technology acceptance model motivation theory drive theory

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Examining the Impact of Multicollinearity in Discovering Higher-Order Factor Models

User-generated content (UGC) in tourism: Benefits and concerns of online consumers