Evidence map›Paper›PMID 36802382›Full record

ArticlePloS one2023

Psychological profiles of South African smallholder farmers.

Navjot Bhullar, Nkhanedzeni B Nengovhela, Livhuwani Mudau, Renato A Villano, Isaac Koomson, Heather M Burrow

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
4.6field-weighted citation impact, top 6% 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, 8 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

6 authors at 3 institutions in 2 countries.

Navjot BhullarSchool of Psychology, University of New England, Armidale, Australia.ORCID 0000-0002-1616-6094
Nkhanedzeni B NengovhelaDepartment of Agriculture, Land Reform and Rural Development, Riviera, South Africa.
Livhuwani MudauDepartment of Agriculture, Land Reform and Rural Development, Riviera, South Africa.
Renato A VillanoUNE Business School, University of New England, Armidale, Australia.ORCID 0000-0003-2581-6623
Isaac KoomsonUNE Business School, University of New England, Armidale, Australia.ORCID 0000-0002-2929-4992
Heather M BurrowUNE Business School, University of New England, Armidale, Australia.ORCID 0000-0002-7989-0426
University of New England · AUEdith Cowan University · AUUniversity of South Africa · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study examined smallholder farmer profiles based on key psychological variables associated with farm business performance in the South African context. A sample of 471 beef farmers (mean age = 54.15 years; SD = 14.46; men = 76%) and 426 poultry farmers (mean age = 47.28 years; SD = 13.53; women = 54.5%) provided data on a range of measures assessing attitudes, subjective norms, perceived behavioral control, personality characteristics, present and future time orientation, expected benefits of, and efficacy to perform the farm business tasks, and farm-related concerns. Latent profile analysis identified three distinct profile segments of smallholder beef and poultry farmers, respectively: Fatalists, Traditionalists, and Entrepreneurs. Our results suggested unique combinations of psychological characteristics in a sample of South African smallholder beef and poultry farmers and show a novel way of understanding enablers of, and barriers to, engaging in the farm business.

Indexed as

AttitudeFarmersAnimalsCattleFarmsFemaleHumansMaleMiddle AgedSouth Africa

Identifiers

PMID36802382
PMCPMC9943007
OpenAlexW4321442854

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.