Evidence map›Paper›PMID 36465599›Full record

ReviewBehavior analysis in practice2022

Planning Positive Reinforcement Cycles in Behavior Intervention Plans.

Kathleen N Zimmerman, Jessica N Torelli, Jason C Chow

Open access · greenAbstract readReview
In one paragraph

Review in Behavior analysis in practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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 at 3 institutions in 1 country.

Kathleen N ZimmermanUniversity of Kansas, 1122 W. Campus Rd., JRP 531, Lawrence, KS 66045 USA.ORCID 0000-0003-0271-0965
Jessica N TorelliCollege of Education and Behavioral Sciences, Western Kentucky University, 1906 College Heights Blvd., Bowling Green, KY 42101 USA.
Jason C ChowCollege of Education, University of Maryland at College Park, 3942 Campus Drive, College Park, MD 20742 USA.
University of Kansas · USUniversity of Maryland, College Park · USWestern Kentucky University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Behavior analysts partner with educators in schools to support the creation of behavior intervention plans (BIPs). Assessment and intervention planning often focuses on the relational contingencies between the student and their environment, with little attention paid to the relational contingencies contacted by the educator. In this article, we posit that planning should simultaneously include contingencies for both the student and the educator as BIPs are created. Specifically, we aim to explore a dual-pathway intervention plan in which student and educator access to reinforcement is simultaneously designed to increase both educators' implementation of high-quality instruction and students' engagement and performance. Procedural steps outlining the duality of intervention planning for both the student and the educator, as well as a theoretical model for considering contextual and reinforcement contingencies for both parties, will be detailed in a step-by-step guide to support readers' creation and implementation of plans to support improved educator and student performance. Planning for supporting both the educator and student may increase sustained, high-quality instruction and improved student outcomes for students with behavioral support needs. Supplementary Information: The online version contains supplementary material available at 10.1007/s40617-021-00663-8.

Indexed as

Behavior intervention plansFidelitySchool-based behavior analysis

Identifiers

PMID36465599
PMCPMC9582084
OpenAlexW4210464250

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.