Evidence map›Paper›PMID 36467852›Full record

ArticlePerspectives on behavior science2022

Teaching a Course on the History of Behavior Analysis.

Edward K Morris

Abstract read
In one paragraph

Article in Perspectives on behavior science, 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
–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

3 citing papers in PubMed.

  1. Article
  2. Introducing "In Their Own Words" Special Series.Behavior analysis in practice · 2024
    Article
  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

1 author.

Edward K MorrisDepartment of Applied Behavioral Science, Dole Human Development Center, University of Kansas, 1000 Sunnyside Avenue, Lawrence, KS 66045 USA.ORCID 0000-0002-5956-7744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Teaching the history of behavior analysis can be approached in many ways. One is to embed history in courses on the field's discipline and subdisciplines (e.g., its basic and applied sciences and their conceptual foundations) and practice. Another is to teach courses on the histories of the discipline and subdisciplines and practice. Still another is to teach a stand-alone course that includes these approaches and more (e.g., their integration, relations with other sciences, the influence of U.S. history and culture). The purpose of this article is to foster teaching the stand-alone course. It has four sections. The first addresses structural considerations: course titles, catalog descriptions, curricula, certification, and accreditation. The second addresses contextual considerations: purposes of teaching history; distinctions between history and historiography; and starting points in selecting textbooks. The third addresses functional considerations: course content organized by topics and their required and recommended readings. The fourth discusses how the course might be revised by eliminating topics (e.g., the Middle Ages), expanding topics and subtopics (e.g., the behaviorisms, philosophy of science) and adding topics and subtopics (e.g., institutional history; diversity, inclusion, and equity). Given the field's continuing development as a science, system, and practice and the rapid growth in its number and variety of its members, its history is becoming its common core-and a means of teaching it. The course elucidates the field's integrity; incorporates the entirety of its community of students, scientists, scholars, and practitioners; and advance its coherence as a cultural practice.

Indexed as

Behavioral scienceBehavior analysisHistoriographyHistoryPsychologyTeaching

Identifiers

PMID36467852
PMCPMC9685156

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.