Evidence map›Paper›PMID 22861181›Full record

ArticleAccountability in research2012

RCR online course: build an online course to augment RCR training using evidenced-based learning theory.

Mary Ratliff, Nicole Masen, Stephen Sullivan, Michael F Fleming, Paula Carney

Abstract read
In one paragraph

Article in Accountability in research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review of Instructional Approaches in Ethics Education.Science and engineering ethics · 2017
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mary RatliffNorthwestern University, Chicago, Illinois 60611, USA. m-ratliff@northwestern.edu
Nicole Masen
Stephen Sullivan
Michael F Fleming
Paula Carney

Funding

Multidisciplinary Clinical and Translational Science (MCTS) Program (UL1)UL1TR000150 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LLOYD-JONES, DONALD M · 2012 to 2013
$10.1M
Multidisciplinary Clinical and Translational Science (MCTS) Program (KL2)KL2RR025740 · NCRR · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GREENLAND, PHILIP · 2008 to 2011
$2.8M
Alcohol Biomarkers In Post Liver Transplant PatientsK24AA015390 · NIAAA · UNIVERSITY OF WISCONSIN-MADISON · PI FLEMING, MICHAEL F. · 2005 to 2014
$1.5M
Multidisciplinary Clinical and Translational Science (MCTS) Program (KL2)KL2TR000107 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LLOYD-JONES, DONALD M · 2012 to 2013
$1.1M
NCATS NIH HHS KL2 TR000107NCATS NIH HHS UL1 TR000150NCRR NIH HHS 1UL1RR025740NCRR NIH HHS KL2 RR025740NIAAA NIH HHS K24 AA015390PHS HHS 8UL1TR000107
6 · The paper itself

Abstract

This article demonstrates how to apply evidenced-based instructional design principles to develop a supplemental, online Responsible Conduct of Research (RCR) course. The supplement RCR course may serve to appropriately augment the National Institutes of Health (NIH) required RCR training. The way to ensure that an online RCR course is effective is to incorporate evidence-based learning theories into the development of the course content. This article specifically demonstrates application of Bloom's taxonomy and Gagne's Nine Instructional Events to a research misconduct course. At the conclusion, the reader will be able to apply evidence-based learning theories to the development of any online course.

Indexed as

Evidence-Based PracticeInternetLearningModels, TheoreticalScientific MisconductInservice TrainingUnited States

Identifiers

PMID22861181
PMCPMC3768005

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.