Evidence map›Paper›PMID 36525284›Full record

ArticleCBE life sciences education2023

Predictors of Scientific Civic Engagement (PSCE) Survey: A Multidimensional Instrument to Measure Undergraduates' Attitudes, Knowledge, and Intention to Engage with the Community Using Their Science Skills.

Irfanul Alam, Karen Ramirez, Katharine Semsar, Lisa A Corwin

Abstract read
In one paragraph

Article in CBE life sciences education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

4 authors.

Irfanul AlamDepartment of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder CO 80309.
Karen RamirezMiramontes Arts & Sciences Program, University of Colorado Boulder, Boulder CO 80309.
Katharine SemsarMiramontes Arts & Sciences Program, University of Colorado Boulder, Boulder CO 80309.
Lisa A CorwinDepartment of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder CO 80309.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Civic engagement is an individual's active participation that is intended to improve a community's socioeconomic status or help shape its future. Undergraduates who engage with a community during formal course work are more likely to participate civically later in life. This outcome is important for science, technology, engineering and math (STEM) students since they use STEM knowledge to make informed decisions about public health, national security and the environment. STEM courses that incorporate this idea actively engage students in helping communities, and yet, assessment of the civic outcomes in these courses, such as measuring important predictors of future civic engagement, has been inconsistent and challenging. To address this need, we designed and assessed a new survey by adapting and testing items from previously existing civic engagement measures. The result was a 14-item survey comprising the following scientific civic constructs, that predict future scientific civic engagement: value, self-efficacy, action, and knowledge. This survey has potential to provide insight into the development of scientific civic engagement for STEM disciplines among undergraduate populations and can be used with additional scales of interest, allowing for researchers to assess relationships between predictors of scientific civic engagement and other constructs.

Indexed as

IntentionStudentsAttitudeHumansSelf EfficacySurveys and Questionnaires

Identifiers

PMID36525284
PMCPMC10074273

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.