Evidence map›Paper›PMID 40606415›Full record

ArticleBehavior analysis in practice2025

An Analysis of Voting and Legislative Behavior.

John W Scibak

Abstract read
In one paragraph

Article in Behavior analysis in practice, 2025. 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

1 author.

John W ScibakMassachusetts House of Representatives (Retired), 1647 Brookhouse Ct, BR149, Sarasota, FL 34231 USA.ORCID 0009-0008-9119-7967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the scope and breadth of applied behavior analysis (ABA) over its 60-year history, little attention has been directed toward the formulation and implementation of public policy. This lack of attention is notable because Skinner (1953) posited that government is probably the most obvious agency engaged in the control of human behavior. Although behavioral strategies have been employed to address policy issues, most studies examined small groups in circumscribed settings. Glenn's (1988) conceptualization of the metacontingency provided a framework for examining public policymaking, with culturo-behavioral science rapidly emerging as a means to further advance our understanding of the complex interactions involved in social and cultural systems (Glenn, 2003; Malott & Glenn, 2019) and the continuing evolution of public policy. This article focuses on voting as an operant behavior and the interlocking behavioral contingencies (IBCs) at play when citizens vote at the polls and lawmakers are voting on potential legislation. Because virtually all legislative bodies have specific protocols regarding everything from legislative drafting to floor debate, the majority of their activity involves rule-governed behavior. In contrast, the votes which a legislator casts, like those of the general public in an election, are contingency-shaped behaviors. One key difference between the vote cast by a private citizen and a legislator are the external consequences that can be imposed following the vote by legislative or governmental leaders. Despite having only a small number of behavior analysts serving in legislatures, recent successes surrounding licensure and mandated insurance coverage for behavior analysis have resulted in a greater awareness by legislators and policymakers of the need and value of such services, suggesting that this is an opportune time for behavior analysts to become more involved and shape public policy.

Indexed as

legislative behaviormetacontingenciespublic policyvoting behavior

Identifiers

PMID40606415
PMCPMC12209102

What OpenQuestion holds

Textmetadata
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.