Evidence map›Paper›PMID 29557067›Full record

ArticlePsychonomic bulletin & review2018

Small is beautiful: In defense of the small-N design.

Philip L Smith, Daniel R Little

6 registry-linked trialsAbstract read
In one paragraph

Article in Psychonomic bulletin & review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 6 registered trials, which are not on this map. Cited by 163 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 1 pooled it
–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.

NCT06175312 nacompletednot on this mapstarted 2024, after this paper: background citation

Probing the Role of Feature Dimension Maps in Visual Cognition: Expt 1.1

TypeinterventionalSponsorUniversity of California, Santa BarbaraRan2024 to 2025Enrolled10ConditionsBasic Science: Visual Attention in Healthy Participants, Basic Science: Neural Representations of Location, AttentionArmsStimulus properties: salience-defining feature, Stimulus properties: magnitude of salience
NCT06281457 naenrolling by invitationnot on this mapstarted 2024, after this paper: background citation

Probing the Role of Feature Dimension Maps in Visual Cognition: Expt 2.1

TypeinterventionalSponsorUniversity of California, Santa BarbaraRan2024 to 2025Enrolled10ConditionsBasic Science: Visual Attention in Healthy Participants, Basic Science: Neural Representations of LocationArmsStimulus properties: task-defining feature
NCT06733467 nacompletednot on this mapstarted 2023, after this paper: background citation

Probing the Role of Feature Dimension Maps in Visual Cognition: Expt 2.3

TypeinterventionalSponsorUniversity of California, Santa BarbaraRan2023 to 2025Enrolled10ConditionsBasic Science: Visual Attention in Healthy Participants, Basic Science: Neural Representations of LocationArmsStimulus properties: remembered feature
NCT06852521 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Probing the Role of Feature Dimension Maps in Visual Cognition: Expt 3.1 (Pilot)

TypeinterventionalSponsorUniversity of California, Santa BarbaraRan2025 to 2027Enrolled240ConditionsBasic Science: Visual Attention in Healthy Participants, AttentionArmsStimulus Properties: Target Location, Stimulus Properties: Distractor Presence, Stimulus properties: Cue Validity
NCT06852534 nacompletednot on this mapstarted 2024, after this paper: background citation

Probing the Role of Feature Dimension Maps in Visual Cognition: Expt 1.1 (Behavioral)

TypeinterventionalSponsorUniversity of California, Santa BarbaraRan2024 to 2025Enrolled20ConditionsBasic Science: Visual Attention in Healthy Participants, AttentionArmsStimulus properties: salience-defining feature, Stimulus properties: magnitude of salience
NCT07572630 naenrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Probing the Role of Feature Dimension Maps in Visual Cognition: Expt 2.2

TypeinterventionalSponsorUniversity of California, Santa BarbaraRan2026 to 2026Enrolled12ConditionsBasic Science: Visual Attention in Healthy Participants, Basic Science: Neural Representations of LocationArmsStimulus properties: task-defining feature
3 · Its place in the literature

Who cites it

163 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. A Call to Action for Qualitative Behavior Analysis.Behavior analysis in practice · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Spatiotemporal Evidence Accumulation Through Saccadic Sampling for Object Recognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Attention Rhythmically Shapes Sensory Tuning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  16. A solution to the pervasive problem of response bias in self-reports.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Review
  18. Article
  19. Article
  20. Article

103 more citing papers are in PubMed but not listed here.

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.

Philip L SmithThe University of Melbourne, Melbourne, Australia. philipls@unimelb.edu.au.
Daniel R LittleThe University of Melbourne, Melbourne, Australia. daniel.little@unimelb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dominant paradigm for inference in psychology is a null-hypothesis significance testing one. Recently, the foundations of this paradigm have been shaken by several notable replication failures. One recommendation to remedy the replication crisis is to collect larger samples of participants. We argue that this recommendation misses a critical point, which is that increasing sample size will not remedy psychology's lack of strong measurement, lack of strong theories and models, and lack of effective experimental control over error variance. In contrast, there is a long history of research in psychology employing small-N designs that treats the individual participant as the replication unit, which addresses each of these failings, and which produces results that are robust and readily replicated. We illustrate the properties of small-N and large-N designs using a simulated paradigm investigating the stage structure of response times. Our simulations highlight the high power and inferential validity of the small-N design, in contrast to the lower power and inferential indeterminacy of the large-N design. We argue that, if psychology is to be a mature quantitative science, then its primary theoretical aim should be to investigate systematic, functional relationships as they are manifested at the individual participant level and that, wherever possible, it should use methods that are optimized to identify relationships of this kind.

Indexed as

PsychologyResearch DesignSample SizeCognitionGroup ProcessesHumansIndividualityLeast-Squares AnalysisMathematicsPsychophysicsReaction TimeVisual PerceptionInferenceMathematical psychologyMethodologyReplication

Identifiers

PMID29557067
PMCPMC6267527

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.