Evidence map›Paper›PMID 30706944›Full record

ArticleJournal of the experimental analysis of behavior2019

Randomization tests as alternative analysis methods for behavior-analytic data.

Andrew R Craig, Wayne W Fisher

Abstract read
In one paragraph

Article in Journal of the experimental analysis of behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Pragmatic Application of Risk Ratios in Behavior Analysis.Perspectives on behavior science · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Defining and assessing immediacy in single-case experimental designs.Journal of the experimental analysis of behavior · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Editorial: Behavior Science for the Public Welfare.Perspectives on behavior science · 2019
    Article
  19. 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

2 authors.

Andrew R CraigSUNY Upstate Medical University.
Wayne W FisherUniversity of Nebraska Medical Center's Munroe-Meyer Institute.

Funding

Basic and Clinical Studies in Reinforcing Positive Behaviors in Intellectual and Developmental DisabilitiesR01HD093734 · NICHD · UTAH STATE UNIVERSITY · PI Timothy A Shahan · 2018 to 2026
$5.2M
Stimulus Control Refinements of Functional Communication Training in IDR01HD079113 · NICHD · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI FISHER, WAYNE WILLIAM · 2014 to 2023
$4.5M
Preventing relapse of destructive behavior using behavioral momentum theoryR01HD083214 · NICHD · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI FISHER, WAYNE WILLIAM · 2015 to 2019
$2.2M
NICHD NIH HHS R01 HD079113NICHD NIH HHS R01 HD083214NICHD NIH HHS R01 HD093734
6 · The paper itself

Abstract

Randomization statistics offer alternatives to many of the statistical methods commonly used in behavior analysis and the psychological sciences, more generally. These methods are more flexible than conventional parametric and nonparametric statistical techniques in that they make no assumptions about the underlying distribution of outcome variables, are relatively robust when applied to small-n data sets, and are generally applicable to between-groups, within-subjects, mixed, and single-case research designs. In the present article, we first will provide a historical overview of randomization methods. Next, we will discuss the properties of randomization statistics that may make them particularly well suited for analysis of behavior-analytic data. We will introduce readers to the major assumptions that undergird randomization methods, as well as some practical and computational considerations for their application. Finally, we will demonstrate how randomization statistics may be calculated for mixed and single-case research designs. Throughout, we will direct readers toward resources that they may find useful in developing randomization tests for their own data.

Indexed as

Data Interpretation, StatisticalRandom AllocationApplied Behavior AnalysisBiological Variation, IndividualHumansResearch DesignSingle-Case Studies as TopicStatistics, Nonparametricautocorrelationbetween-groups researchdata analysisnonparametric statisticsrandomizationsingle-case researchwithin-subjects research

Identifiers

PMID30706944
PMCPMC6524641

What OpenQuestion holds

Textmetadata
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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.