Evidence map›Paper›PMID 35805667›Full record

ArticleInternational journal of environmental research and public health2022

How Stable, Really? Traditional and Nonlinear Dynamics Approaches to Studying Temporal Fluctuations in Personality and Affect.

Alessio Gori, Daniel Dewey, Eleonora Topino, Marco Giannini, David Schuldberg

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 44% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 4 institutions in 2 countries.

Alessio GoriDepartment of Health Sciences, University of Florence, Via di San Salvi 12, Pad. 26, 50135 Firenze, Italy.ORCID 0000-0002-6867-2319
Daniel DeweyDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, 171 Ashley Ave Suite 419, # 403, Charleston, SC 29425, USA.
Eleonora TopinoDepartment of Human Sciences, LUMSA University of Rome, Via della Traspontina 21, 00193 Rome, Italy.ORCID 0000-0003-0849-1249
Marco GianniniDepartment of Health Sciences, University of Florence, Via di San Salvi 12, Pad. 26, 50135 Firenze, Italy.
David SchuldbergDepartment of Psychology, The University of Montana, 32 Campus Dr, Missoula, MT 59812, USA.
University of Florence · ITLibera Università Maria SS. Assunta · ITMedical University of South Carolina · USUniversity of Montana · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A pair of quantitative case studies is presented to demonstrate how different approaches to quantifying temporal variability in ratings of traits and affect can provide rich information for personality researchers. Data are presented and analyzed from two college students who completed an Ecological Momentary Assessment protocol sampling ratings of affect and traits up to 24 times daily for one week. Both classical and nonlinear data analytic techniques were applied to the data to summarize and examine the temporal dynamics of both traits and affect. For the purposes of exposition, one Big Five trait rating, extraversion, and the PANAS positive and negative affects, are discussed. The results support previous research demonstrating a high degree of variability in ratings of both traits and affect over time. Analyses using nonlinear and complexity expand on these findings and suggest temporal patterning as well as disorder; implications of phase portraits for understanding variability are discussed. The findings are discussed in light of a processing dynamics approach to resolving the role of variability in understanding personality.

Indexed as

Nonlinear DynamicsPersonalityAffectEcological Momentary AssessmentHumansPersonality DisordersStudentsecological momentary assessmentfive-factor modelpersonality traitspositive and negative affects

Identifiers

PMID35805667
PMCPMC9265719
OpenAlexW4283748114

What OpenQuestion holds

Textmetadata
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.