Evidence map›Paper›PMID 42647540›Full record

ArticlePloS one2026

Validating a novel measure of scientists' disciplinary affiliation that captures its complexity and plasticity.

Gina Marie Pizzo, Aaron M McCright, Chad Gonnerman, Troy E Hall, Kathryn S Plaisance, Brian Robinson

Abstract readValidation Study
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Gina Marie PizzoDepartment of Statistics, Rice University, Houston, Texas, United States of America.ORCID https://orcid.org/0009-0003-9174-2885
Aaron M McCrightDepartment of Sociology and AgBioResearch, Michigan State University, East Lansing, Michigan, United States of America.ORCID https://orcid.org/0000-0001-6251-5251
Chad GonnermanDepartment of Political Science, Public Administration, and Philosophy, University of Southern Indiana, Evansville, Indiana, United States of America.ORCID https://orcid.org/0000-0002-1074-7306
Troy E HallDepartment of Forest Ecosystems and Society and Honors College, Oregon State University, Corvallis, Oregon, United States of America.
Kathryn S PlaisanceDepartment of Knowledge Integration and Department of Philosophy, University of Waterloo, Waterloo, Ontario, Canada.ORCID https://orcid.org/0000-0002-9455-8253
Brian RobinsonDepartment of History, Political Science, and Philosophy, Texas A&M University-Kingsville, Kingsville, Texas, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much research since the 1950s has investigated scientists' views and behaviors. Employing data from standardized surveys, researchers often analyze how such views and behaviors vary across scientific disciplines. The results of these efforts are likely influenced by the quality of the survey instrument(s) used to measure scientists' discipline or "disciplinary affiliation" as well as the size and quality of respondent samples. Even though disciplinary affiliation is a complex, multi-dimensional construct, most surveys over the years include only a single nominal indicator of one dimension (e.g., the discipline of respondents' highest degree, current department, or self-identity). Only using a nominal indicator-with respondents placing themselves into distinct disciplines assumed to be internally homogeneous-limits our ability to measure variation in their disciplinary affiliation within nominal disciplines. We refer to this variation, or plasticity, in scientists' disciplinary affiliation as disciplinarity, or the extent to which their affiliation may vary along a continuum between strong connection to their discipline's core to broader association with their discipline's frontier-possibly leading to boundary transgression and eventual affiliation with a different nominal discipline. We created a multi-dimensional continuous measure of disciplinarity for use in tandem with a categorical disciplinary affiliation indicator (i.e., discipline of PhD degree) to capture this variation. We included both measures in a standardized survey on scientists' views about the nature of science and experiences in cross-disciplinary research that we administered to a large sample of 4,113 tenure-system science faculty at 83 US research universities. After offering narrative evidence of the content validity of our novel five-dimension disciplinarity instrument, we provide statistical evidence that our resulting disciplinarity scale has construct, convergent, and concurrent criterion validity for measuring the complexity and plasticity of scientists' disciplinary affiliation. We close with suggestions for how other researchers may employ this novel instrument for their own purposes.

Indexed as

Research PersonnelHumansSurveys and Questionnaires

Identifiers

PMID42647540
PMCPMC13514013

What OpenQuestion holds

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Registered trials

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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.