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2018 | Supplement | Buchkapitel

9. Measurement and Generalizability

verfasst von : Milton Mayfield, Jacqueline Mayfield

Erschienen in: Motivating Language Theory

Verlag: Springer International Publishing

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Abstract

Motivating language theory has proven to be remarkably generalizable across many different settings. This stability, in part, comes from ML’s firm theoretical grounding, available quality measures, and parallel development using different analytic methods. Its foundation has lead to a theory that generalizes across most national culture groups, work situations, and worker demographics. We need, however, more explicit work on ML’s generalizability since our current understanding comes from examining results from studies with diverse settings rather than specific generalizability tests. Future theoretical development needs to accompany such work to better understand how motivating language works in diverse settings.

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Metadaten
Titel
Measurement and Generalizability
verfasst von
Milton Mayfield
Jacqueline Mayfield
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-66930-4_9