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What is Discriminant Validity

Exploring the Power of Electronic Word-of-Mouth in the Services Industry
It is the ability of a construct to differentiate from the others.
Published in Chapter:
Going Crazy for Reviewing: The Drivers Spreading e-WOM
Matteo Devigili (University of Siena, Italy), Tommaso Pucci (University of Siena, Italy), Niccolò Fiorini (University of Siena, Italy), and Lorenzo Zanni (University of Siena, Italy)
DOI: 10.4018/978-1-5225-8575-6.ch010
Abstract
Word-of-mouth (WoM) has always exerted a great effect on consumers' behaviors and intentions. With the advent of internet, this influence has grown both in terms of potential audience reachable and of potential effect led to firms' sales and reputation. Hence, the marketing literature has recently started to investigate motivations and drivers able to foster/hinder electronic-WOM (e-WOM). Therefore, this research aims to explore the effect on the propensity to share comments and reviews online (active WOM) of the following three drivers: (1) propensity to rely on passive WOM; (2) expected service quality; (3) propensity to spend. The authors tested their hypotheses on the fashion industry, collecting 1454 usable answers from Italian consumers. The results indicate that both passive WOM and propensity to spend are drivers able to foster the spread of e-WOM. On the other hand, expected service quality shows a significant negative direct effect and a significant positive indirect effect on active e-WOM: these two effects compensate each other. Thus, the total effect is negligible.
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Understanding the Antecedents of Customer Loyalty by Applying Structural Equation Modeling
The extent to which a construct is distinct from the other constructs within the model. There are no collapsing factors explaining variance in the indicator variables for each construct.
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The Influence of Spirituality: Measuring Spirituality in Leadership With the SpEI
Like convergent validity, an element of construct validity. Discriminant validity refers to whether theoretically dissimilar constructs are in fact statistically different. That is, can the related constructs be shown to ‘diverge’?
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Towards Achieving a Sustainable Lean Transformation: Measuring Tangible and Intangible Gains
The level at which a construct is genuinely different from other constructs, both in terms of its correlation with other constructs and the extent to which its indicators solely represent that specific construct.
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Using Tests to Study People's Responses: What Do the Scores Mean?
Evidence that is provided when two tests aim to measure independent constructs. It is good evidence if there is a null to weak relationship between both constructs; it is bad evidence if they are found to be related (when this is theoretically unexpected).
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(Re)building Our Understanding of Race Measures in Education
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