Modeling the Instructional Effectiveness of Responsible Conduct of Research Education: A Meta-Analytic Path-Analysis

Logan L. Watts, Tyler J. Mulhearn, Kelsey E. Medeiros, Logan M. Steele, Shane Connelly, Michael D. Mumford

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Predictive modeling in education draws on data from past courses to forecast the effectiveness of future courses. The present effort sought to identify such a model of instructional effectiveness in scientific ethics. Drawing on data from 235 courses in the responsible conduct of research (RCR), structural equation modeling techniques were used to test a predictive model of RCR course effectiveness. Fit statistics indicated the model fit the data well, with the instructional characteristics included in the model explaining approximately 85% of the variance in RCR instructional effectiveness. Implications for using the model to develop and improve future RCR courses are discussed.

Original languageEnglish
Pages (from-to)632-650
Number of pages19
JournalEthics and Behavior
Volume27
Issue number8
DOIs
StatePublished - 17 Nov 2017

Keywords

  • ethics training
  • instructional effectiveness
  • predictive modeling
  • responsible conduct of research

Fingerprint

Dive into the research topics of 'Modeling the Instructional Effectiveness of Responsible Conduct of Research Education: A Meta-Analytic Path-Analysis'. Together they form a unique fingerprint.

Cite this