Measurement and Meaning in Information Systems and Organizational Research: Methodological and Philosophical Foundations

By Richard P. Bagozzi. MIS Q., 2011

438 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/730770e6129d5409438855c511445c971a256cc6

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Citations in the corpus

Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It (2014, background): “However, we also acknowledge that there is increasing debate as to how serious this bias is [80].”
Asking Good Survey Questions (2013, background): “For example, Bagozzi (2011) argues that the theoretical meaning of a construct should be defined in terms of well-formedness, specificity, scope, ambiguity, vagueness, and transcendence versus immanence and include its antecedents and consequences. Bagozzi does not explain how to achieve that, espec”
Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats (2013, background): “As Bagozzi (2011) notes, there are different ontologies underlying formative and reflective measures, which have different accompanying approaches for interpreting and assessing the construct and its relationships with other constructs.”
Determinants of social media adoption by B2B organizations (2015, methodology): “Consistent with previous research, the second smallest positive correlation was used (Bagozzi, 2011) as a reasonable proxy for commonmethod variance.”
Controlling for Common Method Variance in PLS Analysis: The Measured Latent Marker Variable Approach (2013, neutral): “This contrasts with the unmeasured latent marker variable approach [1–6], which uses indicators of manifest variables from the primary research model to estimate CMVs influence.”
Specification, evaluation, and interpretation of structural equation models (2012, background): “But is should be recognized that formative indicator models do not yield meaningful measures of reliability and pose problems in terms of doing cross-validations, generalizations, and testing for construct validity ( Bagozzi 2011a ).”