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Best Practice for EVM (3/Best Practice Recommendations for Designing and…
Best Practice for EVM
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Thus, researchers seem to face a seemingly inescapable dilemma: (a) implement experimental designs that yield high levels of confidence regarding internal validity but are challenged by difficulties regarding external validity (i.e., uncertainty regarding generalizability of results) or (b) implement nonexperimental designs that often maximize external validity because they are conducted in natural settings but whose conclusions are ambiguous in terms of the direction and nature of causal relationships.
The goal of our article is to discuss experimental vignette methodology (EVM) as a way to
address the aforementioned dilemma.
Notion of EMV^
Vignette studies use short descriptions of situations or persons (vignettes**) that are usually shown to respondents within surveys in order to elicit their judgments about these scenarios.
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Abstract:
We describe two major types of EVM aimed at assessing explicit (i.e., paper people studies) and implicit (i.e., policy capturing and conjoint analysis) processes and outcomes. We offer best practice recommendations regarding the design and implementation of EVM studies based on a multidisciplinary literature review,
Our article is organized as follows.
First, we define and describe EVM and illustrate how it is useful in terms of advancing theories in management research. Second, we describe results of a literature search based on 30 management-related journals to assess the prevalence and use of EVM in the past 20 years. Third, we provide best practice recommendations for the future use of EVM.
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