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Record W4387491601 · doi:10.20982/tqmp.19.3.r011

Capacity and duration of iconic memory from partial reporting of brief stimuli: A replication of Sperling’s experiment (1960)

2023· article· en· W4387491601 on OpenAlexaff
Meenakshie Bradley-Garcia, Salma Ben Messaoud, Ashley Bossilkov, Chloé Cateaux, Carmel Tshila N’Sa, Annabelle Potvin-Pilon, Hajira Abdi-Nassir, Nardeen Assad, Fiona Balcom, Salma Belfaiz, Cassandra Blackburn, Julia Bolduc, Idriss Boutarbouch, Natasha Béchamp, Mireyva Tatiane Calderon Robles, Véronique Charbonneau, Isabelle Chatillon, Lauren Cooper-Ballinger, Maria Falconi, Vincent Francoeur, Asterie Gashema, Victoria Healey, Victoria Johnston, Cloé Lafleur, Josiane Laliberté, Jadzia Lareau, Camille Louis Leblanc, Erin Miess, Victoria Méthot, Habib Najjar, Jamila Palanee, Suzanne Pradelle, Deevesh Raj Ramphul, Mahika Sarrazin, Nich Savage, Monica Tremblay Jimenez

Bibliographic record

VenueThe Quantitative Methods for Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicMultisensory perception and integration
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDuration (music)Replication (statistics)PsychologyCognitive psychologyArtStatisticsMathematicsLiterature

Abstract

fetched live from OpenAlex

It has been widely accepted that iconic memory has a capacity of minimally 9 elements and a duration of approximately 0.3 seconds. However, Sperling’s (1960) partial report methodology influenced the study of iconic memory by demonstrating its larger capacity than previously considered. Due to the limited number of participants in the original study, a replication study was necessary to corroborate the results of Sperling (1960) to validate the scientific merit of results, thereby strengthening the validity of the study. The present study aimed to replicate Sperling’s (1960) partial report experiment with modern technology amongst a larger and demographically heterogeneous sample. Male and female participants (n = 64) aged 18-59 years old (M = 30.61, SD = 13.211) were recruited to complete four online tasks via Qualtrics. Tasks 1 and 4 involved the recall of briefly presented sequences of 3, 4, 5, and 6 letters. Tasks 2 and 3 required participants to recall an array of 3 and 4 letters and numbers presented in 2 and 3 rows respectively. In Tasks 2 and 3, an auditory cue was presented for 0.05 s at two (high and low) and three different frequencies (high, medium, low), respectively, which indicated the row to be reported at different interstimulus intervals (-0.10, 0.0, 0.15, 0.30, 0.50, 1.0 s) relative to the presented stimuli. Analyses revealed that the interaction between the number of letters and the interstimulus interval, the number of rows and the interstimulus interval, as well as the number of letters and number of rows was statistically significant. The findings of this replication study support the results of Sperling (1960) suggesting that partial report accuracy is influenced by the number of briefly presented characters. Future studies should explore the influence of a controlled environment to explain the effects of the variables on recall abilities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.482
GPT teacher head0.591
Teacher spread0.110 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designBench or experimental
DomainReproducibility
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

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