Evidence map›Paper›PMID 24101234›Full record

ArticleIntegrative psychological & behavioral science2014

Personality as continuous stochastic process: what Western personality theory can learn from classical confucianism.

Peter J Giordano

Abstract read
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In one paragraph

Article in Integrative psychological & behavioral science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Personality Process-Structure Duality: Reply to Two Commentaries.Integrative psychological & behavioral science · 2018
    Article
  3. Is Personality a System? Stability, Process and Plasticity.Integrative psychological & behavioral science · 2015
    Review
  4. Being or Becoming: Toward an Open-System, Process-Centric Model of Personality.Integrative psychological & behavioral science · 2015
    Review
  5. Review
  6. Review
  7. Imagine the Feeling: An Aesthetic Science of Psychology.Integrative psychological & behavioral science · 2015
    Review
  8. Ideology, affect, semiotics: towards a non-personal theory of personality.Integrative psychological & behavioral science · 2014
    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

1 author.

Peter J GiordanoDepartment of Psychological Science, Belmont University, Nashville, TN, USA, pete.giordano@belmont.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An important objective of personality psychology is to provide compelling descriptions and explanations of intraindividual personality dynamics that capture the unique qualities of persons. Among contemporary Western personality theories, the Five-Factor Model enjoys prominence in describing individual differences in personality traits. It falls short, however, in its ability to work with intraindividual personality function. This article argues that classical Confucianism, originating 2500 years ago in mainland China, offers Western personality psychologists important theoretical resources for capturing the complex and dynamic processes inherent in human personality. The Confucian perspective emphasizes a behaviorally anchored, continuous, stochastic, process-oriented understanding of the self as relationally constructed and proposes an elegant description of the relational virtuosity of exemplary persons. The article concludes with five characteristics of a Confucian inspired model of personality and questions the viability of a universal theory of personality.

Indexed as

EgoPsychological TheoryConfucianismHumansModels, PsychologicalPersonalityStochastic Processes

Identifiers

What OpenQuestion holds

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Registered trials

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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.