Evidence map›Paper›PMID 27055776›Full record

ArticleCBE life sciences education2016

A Primer for Developing Measures of Science Content Knowledge for Small-Scale Research and Instructional Use.

Kristin M Bass, Dina Drits-Esser, Louisa A Stark

Abstract read
In one paragraph

Article in CBE life sciences education, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

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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

3 authors.

Kristin M BassRockman et al, San Francisco, CA 94105 kristin@rockman.com.
Dina Drits-EsserGenetic Science Learning Center, University of Utah, Salt Lake City, UT 84102.
Louisa A StarkGenetic Science Learning Center, University of Utah, Salt Lake City, UT 84102.

Funding

Genome Science for Health: Web-based Curricula for Biology, Phase I+IIR25RR023288 · NCRR · UNIVERSITY OF UTAH · PI STARK, LOUISA A · 2006 to 2010
$1.7M
NCRR NIH HHS R25 RR023288NCRR NIH HHS R25RR023288
6 · The paper itself

Abstract

The credibility of conclusions made about the effectiveness of educational interventions depends greatly on the quality of the assessments used to measure learning gains. This essay, intended for faculty involved in small-scale projects, courses, or educational research, provides a step-by-step guide to the process of developing, scoring, and validating high-quality content knowledge assessments. We illustrate our discussion with examples from our assessments of high school students' understanding of concepts in cell biology and epigenetics. Throughout, we emphasize the iterative nature of the development process, the importance of creating instruments aligned to the learning goals of an intervention or curricula, and the importance of collaborating with other content and measurement specialists along the way.

Indexed as

Educational MeasurementKnowledgeResearchCell CommunicationDatabases as TopicEpigenomicsGeneticsPilot ProjectsReproducibility of ResultsScience

Identifiers

PMID27055776
PMCPMC4909352

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.