Evidence map›Paper›PMID 42016277›Full record

ArticleSocial science quarterly2026

Evaluating Evidentiary Standards in the Realm of Citizen Policy Evaluation.

Florian Justwan, Bert Baumgaertner, Markie McBrayer, Jacob Bindley, Alexa Benitez, Kira Haile, Bergen Kludt-Painter

Abstract read
In one paragraph

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

0numbers the graph read from it
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

7 authors.

Florian JustwanAssociate Professor of Political Science University of Idaho 875 Perimeter Drive, MS 3165 Moscow, Idaho 83844.
Bert BaumgaertnerProfessor of Philosophy University of Idaho.
Markie McBrayerAssociate Professor of Political Science University of Idaho.
Jacob BindleyUndergraduate Student University of Idaho.
Alexa BenitezUndergraduate Student University of Idaho.
Kira HaileUndergraduate Student University of Idaho.
Bergen Kludt-PainterUndergraduate Student University of Idaho.

Funding

Sequence-structure-function relationships in human visual photopigmentsP20GM104420 · NIGMS · UNIVERSITY OF IDAHO · PI VAN LEUVEN, JAMES · 2015 to 2024
$22.9M
NIGMS NIH HHS P20 GM104420
6 · The paper itself

Abstract

This paper explores individual-level standards of evidence in the political domain. We define "standard of evidence" as the threshold at which information collection transitions to decision-making. In particular, we aim to understand what evidentiary standards voters rely on when they evaluate the effectiveness of legislation passed by their in-party vs. the out-party. Our empirical investigation is based on original survey data collected in August 2023 in the United States and it provides two main findings. First, both Democrats and Republicans are more likely to apply looser evidentiary standards for policies passed by their own party. This implies that voters in the U.S. consider their own party's policies to be more efficacious in part because they have adopted lower standards for perceived policy success. Second, we find that policy authorship also influences the type of evidence that people rely on when they evaluate policy. Our models suggest that individuals are (1) less likely to consider long time horizons and (2) less likely to reflect on alternative causes when they evaluate the efficacy of a bipartisan economic policy compared to one authored by only one major party.

Indexed as

evidentiary standardsPolicy assessmentspolicy authorship

Identifiers

PMID42016277
PMCPMC13095268

What OpenQuestion holds

Textmetadata
LicenceTDM
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.