ArticleThe Behavior analyst1999
Statistical inference in behavior analysis: Some things significance testing does and does not do.
Article in The Behavior analyst, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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.
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.
Who cites it
23 citing papers in PubMed.
- Recent Experience Affects Delay Discounting: Evidence across Temporal Framing, Signs, and Magnitudes.Perspectives on behavior science · 2024Article
- Improving preclinical to clinical translation of cognitive function for aging-related disorders: the utility of comprehensive touchscreen testing batteries in common marmosets.Cognitive, affective & behavioral neuroscience · 2024Article
- Remarkably reproducible psychological (memory) phenomena in the classroom: some evidence for generality from small-N research.BMC psychology · 2022Article
- Monte Carlo Analyses for Single-Case Experimental Designs: An Untapped Resource for Applied Behavioral Researchers and Practitioners.Perspectives on behavior science · 2022Article
- Statistical Decision-Making Accuracies for Some Overlap- and Distance-based Measures for Single-Case Experimental Designs.Perspectives on behavior science · 2022Article
- Staying Home, Distancing, and Face Masks: COVID-19 Prevention among U.S. Women in The COPE Study.International journal of environmental research and public health · 2020Article
- Quality Improvement and Behavior Analysis: A Dynamic Duo.Behavior analysis in practice · 2020Review
- Randomization Tests for Single Case Designs with Rapidly Alternating Conditions: An Analysis ofPerspectives on behavior science · 2019Article
- An Information Theoretic Approach to Model Selection: A Tutorial with Monte Carlo Confirmation.Perspectives on behavior science · 2019Article
- Tutorial: Small-N Power Analysis.Perspectives on behavior science · 2019Article
- Randomization tests as alternative analysis methods for behavior-analytic data.Journal of the experimental analysis of behavior · 2019Article
- Editorial: Replication and Reliability in Behavior Science and Behavior Analysis: A Call for a Conversation.Perspectives on behavior science · 2019Article
- Predict, Control, and Replicate to Understand: How Statistics Can Foster the Fundamental Goals of Science.Perspectives on behavior science · 2019Article
- An Overview of Scientific Reproducibility: Consideration of Relevant Issues for Behavior Science/Analysis.Perspectives on behavior science · 2019Article
- Validating the use of a commercial enzyme immunoassay to measure oxytocin in unextracted urine and saliva of the western lowland gorilla (Gorilla gorilla gorilla).Primates; journal of primatology · 2018Article
- Applying the Taxonomy of Validity Threats from Mainstream Research Design to Single-Case Experiments in Applied Behavior Analysis.Behavior analysis in practice · 2018Article
- Less Is More: Psychologists Can Learn More by Studying Fewer People.Frontiers in psychology · 2016Article
- JEAB Research Over Time: Species Used, Experimental Designs, Statistical Analyses, and Sex of Subjects.The Behavior analyst · 2015Article
- Single-Case Research Methods: History and Suitability for a Psychological Science in Need of Alternatives.Integrative psychological & behavioral science · 2015Review
- A critical examination of best dose analysis for determining cognitive-enhancing potential of drugs: studies with rhesus monkeys and computer simulations.Psychopharmacology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Significance testing plays a prominent role in behavioral science, but its value is frequently overestimated. It does not estimate the reliability of a finding, it does not yield a probability that results are due to chance, nor does it usually answer an important question. In behavioral science it can limit the reasons for doing experiments, reduce scientific responsibility, and emphasize population parameters at the expense of behavior. It can, and usually does, lead to a poor approach to theory testing, and it can also, in behavior-analytic experiments, discount reliability of data. At best, statistical significance is an ancillary aspect of a set of data, and therefore should play a relatively minor role in advancing a science of behavior.
Identifiers
What OpenQuestion holds
Registered trials
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.