Evidence map›Paper›PMID 23430563›Full record

ArticleJournal of youth and adolescence2014

Understanding entrepreneurial intent in late adolescence: the role of intentional self-regulation and innovation.

G John Geldhof, Michelle Weiner, Jennifer P Agans, Megan K Mueller, Richard M Lerner

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of youth and adolescence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Transdiagnostic Case Conceptualization of Emotional Problems in Youth with ASD: An Emotion Regulation Approach.Clinical psychology : a publication of the Division of Clinical Psychology of the American Psychological Association · 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

5 authors at 2 institutions in 1 country.

G John GeldhofLincoln Filene Center, Institute for Applied Research in Youth Development, Tufts University, Medford, MA, 02155, USA, John.Geldhof@Tufts.edu.
Michelle Weiner
Jennifer P Agans
Megan K Mueller
Richard M Lerner
Tufts University · USYouth Development · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Entrepreneurship represents a form of adaptive developmental regulation through which both entrepreneurs and their ecologies benefit. We describe entrepreneurship from the perspective of relational developmental systems theory, and examine the joint role of personal attributes, contextual attributes, and characteristics of person-context relationships in predicting entrepreneurial intent in a sample 3,461 college students enrolled in colleges and universities in the United States (60 % female; 61 % European American). Specifically, we tested whether personal characteristics (i.e., gender, intentional self-regulation skills, innovation orientation) and contextual factors (i.e., entrepreneurial parents) predicted college students' intentions to pursue an entrepreneurial career. Our findings suggest that self-regulation, innovation orientation, and having entrepreneurial role models (i.e., parents) predict entrepreneurial intent. Limitations and future directions for the study of youth entrepreneurship are discussed.

Indexed as

Adolescent BehaviorEntrepreneurshipIntentionPsychology, AdolescentSocial Control, InformalAdolescentFactor Analysis, StatisticalFemaleHumansMaleModels, PsychologicalModels, StatisticalParentsRegression AnalysisSex FactorsYoung Adult

Identifiers

PMID23430563
OpenAlexW2017002830

What OpenQuestion holds

Textmetadata
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.