Assessing Between-Group Differences in Information Systems Research: A Comparison of Covariance-and Component-Based SEM

By Israr Qureshi, Deborah R. Compeau. MIS Q., 2009

354 citations recorded by the source corpus.

Subfields: Information Systems, Information Systems and Management, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/23ac5b3e64dbe92bc8509589f0a99214dfca8334

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

In Information Systems and Management

In Organizational Behavior and Human Resource Management

Citations in the corpus

Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats (2013, methodology): “In the context of SEM, heterogeneity can affect the structural model, the measurement model (formative and reflective), or both (e.g., Ansari et al. 2000; Qureshi and Compeau 2009).”
Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly (2012, background): “In this process, conceptual papers and simulation studies on methodological aspects (e.g., Qureshi and Compeau 2009; Wetzels et al. 2009) were removed from the search list.”
Exploring the Security of Information Sharing on Social Networking Sites: The Role of Perceived Control of Information (2014, methodology): “PLS was used to analyze the structural model and test the proposed hypotheses.”
Formative Vs. Reflective Measurement Model: Guidelines for Structural Equation Modeling Research (2020, background): “Meanwhile, other researchers claimed that the PLS-SEM approach is suitable with prediction-oriented objective, abnormal data distribution and accommodates small sample sizes ([7]; [8]; [9]; [10]).”
The mediating role of consumer trust in an online merchant in predicting purchase intention (2013, methodology): “SEM is a statistical 73 35.4 111 53.9 22 10.7 technique that incorporates factor analysis (using a measurement model) and path analysis (using a structural model) (Qureshi & Compeau, 2009; Wetzels, Odekerken-Schroder, & Oppean, 2009).”
What drives consumers' continuance intention to e-shopping?: Conceptual framework and managerial implications in the case of Saudi Arabia (2011, result): “To enhance the generalizability of our research model, we compare the results of the hypothesized relationships across experience and gender using between-group analysis (Qureshi and Compeau, 2009).”
On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations (2017, methodology): “…Parameter Recovery Capabilities of CB-SEM and PLS-SEM1 1 Other simulation studies that compare CB-SEM and PLS-SEM address topics such as model fit (Dijkstra & Henseler, 2015a) and the methods’ capabilities for multigroup analysis (Qureshi & Compeau, 2009), and prediction (Evermann & Tate, 2016).”
Students' Entrepreneurial Intentions: The Role of Prior Learning Experiences and Emotional, Social, and Cognitive Competencies* (2018, methodology): “In some cases, the PLS approach is preferable to SEM (Quereshi and Compeau 2009), in particular when the sample size is small.”