Evidence map›Paper›PMID 30794543›Full record

ArticlePloS one2019

Italian norms and naming latencies for 357 high quality color images.

Eduardo Navarrete, Giorgio Arcara, Sara Mondini, Barbara Penolazzi

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Quebec French Action-Naming Database with Video Stimuli.Journal of psycholinguistic research · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Eduardo NavarreteDepartment of Developmental and Social Psychology, Università di Padova, Padova, Italy.ORCID 0000-0002-7619-8397
Giorgio ArcaraIRCCS Fondazione Ospedale San Camillo, Venezia, Italy.
Sara MondiniDepartment of General Psychology, Università di Padova, Padova, Italy.
Barbara PenolazziDepartment of Life Sciences, Università di Trieste, Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the domain of cognitive studies on the lexico-semantic representational system, one of the most important means of ensuring effective experimental designs is using ecological stimulus sets accompanied by normative data on the most relevant variables affecting the processing of their items. In the context of image sets, color photographs are particularly suited to this purpose as they reduce the difficulty of visual decoding processes that may emerge with traditional image sets of line drawings. This is especially so in clinical populations. In this study we provide Italian norms for a set of 357 high quality image-items belonging to 23 semantic subcategories from the Moreno-Martínez and Montoro database. Data from several variables affecting image processing were collected from a sample of 255 Italian-speaking participants: age of acquisition, familiarity, lexical frequency, manipulability, name agreement, typicality and visual complexity. Lexical frequency data were derived from the CoLFIS corpus. Furthermore, we collected data on image oral naming latencies to explore how the variance in these latencies could be explained by these critical variables. Multiple regression analyses on the naming latencies show classical psycholinguistic phenomena, such as the effects of age of acquisition and name agreement. In addition, manipulability was also a significant predictor. The described Italian normative data and naming latencies are available for download as supplementary material.

Indexed as

PsycholinguisticsSemanticsSpeech Production MeasurementAdolescentAdultColorFemaleHumansItalyLanguageMalePhotic StimulationPhotographyReaction TimeRecognition, PsychologyReference Values

Identifiers

PMID30794543
PMCPMC6386297

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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.