Four common pitfalls of quantitative analysis in experimental research

Leppink, Jimmie; Kok, Ellen M.; Bergman, Esther M.; van Loon, Mariëtte Henrica; de Bruin, Anique B. H. (2016). Four common pitfalls of quantitative analysis in experimental research. Academic medicine, 91(6), p. 891. AM Last Page: Lippincott, Williams & Wilkins 10.1097/ACM.0000000000000946

[img] Image
Four common pitfalls of quantitative analysis in experimental research.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (298kB)

A recently published AM Last Page presents five common methodological pitfalls of experimental research in medical education.
In this Last Page, we present four statistical pitfalls and their more appropriate alternatives. Pitfalls are illustrated with a case of a fictitious researcher who conducts a study with elements that are common in many medical education experiments.

Item Type:

Journal Article (Original Article)

Division/Institute:

07 Faculty of Human Sciences > Institute of Psychology > Developmental Psychology

Graduate School:

Swiss Graduate School for Cognition, Learning and Memory (SGS-CLM)

UniBE Contributor:

van Loon, Mariëtte Henrica

Subjects:

100 Philosophy > 150 Psychology

ISSN:

1040-2446

Publisher:

Lippincott, Williams & Wilkins

Language:

English

Submitter:

Jennifer Ruth Sprenger

Date Deposited:

19 Sep 2018 16:35

Last Modified:

05 Dec 2022 15:09

Publisher DOI:

10.1097/ACM.0000000000000946

BORIS DOI:

10.7892/boris.108589

URI:

https://boris.unibe.ch/id/eprint/108589

Actions (login required)

Edit item Edit item
Provide Feedback