Evidence map›Paper›PMID 35953648›Full record

ArticleJournal of psycholinguistic research2022

Validation of Affective Sentences: Extending Beyond Basic Emotion Categories.

Barbra Zupan, Michelle Eskritt

Abstract read
In one paragraph

Article in Journal of psycholinguistic research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Barbra ZupanSpeech Pathology, College of Health Science, School of Health, Medical and Applied Sciences, Central Queensland University, Bruce Highway, North Rockhampton, QLD, 4702, Australia. b.zupan@cqu.edu.au.ORCID http://orcid.org/0000-0002-4603-333X
Michelle EskrittPsychology, Mount Saint Vincent University, Halifax, NS, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We use nonverbal and verbal emotion cues to determine how others are feeling. Most studies in vocal emotion perception do not consider the influence of verbal content, using sentences with nonsense words or words that carry no emotional meaning. These online studies aimed to validate 95 sentences with verbal content intended to convey 10 emotions. Participants were asked to select the emotion that best described the emotional meaning of the sentence. Study 1 included 436 participants and Study 2 included 193. The Simpson diversity index was applied as a measure of dispersion of responses. Across the two studies, 38 sentences were labelled as representing 10 emotion categories with a low degree of diversity in participant responses. Expanding current databases beyond basic emotion categories is important for researchers exploring the interaction between tone of voice and verbal content, and/or people's capacity to make subtle distinctions between their own and others' emotions.

Indexed as

EmotionsVoiceCuesHumansLanguageEmotionSentencesValidationVerbal content

Identifiers

PMID35953648
PMCPMC9646620

What OpenQuestion holds

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LicenceCC BY
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.