Evidence map›Paper›PMID 42534913›Full record

ArticleFrontiers in public health2026

Identifying volunteer groups based on motivational patterns using latent class analysis.

Harrid Nkhoma, Samuel Manda, Tapiwa Kamuruko

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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Harrid NkhomaDepartment of Statistics, University of Pretoria, Pretoria, South Africa.
Samuel MandaDepartment of Statistics, University of Pretoria, Pretoria, South Africa.
Tapiwa KamurukoVoluntary Advisory Services Section, United Nations Volunteers (UNV), Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Volunteers dedicate their time and effort to enhancing communities, supporting social causes, and fostering social cohesion. Self-Determination Theory suggests that volunteer motivation may vary along a continuum of internalization from controlled to autonomous motivation. However, there is limited understanding of whether motivational profiles reflect qualitatively distinct types or primarily differ in intensity. This study seeks to identify fundamental motivational groupings among volunteers and to analyse the sociodemographic factors associated with these profiles using data from a cross-national survey. Methods: Data from 2,605 respondents in the World Values Survey (1982-2022) were analysed using 14 indicators of volunteer motivation. Two to six classes were fitted using Latent Class Analysis (LCA). Multinomial logistic regression subsequently examined associations between class membership and sociodemographic characteristics. Results: A three-class model was identified, characterized primarily by varying degrees of motivational intensity: low (31.2%), moderate (32.1%), and high (36.7%) motivation. Classes showed parallel response patterns across altruistic, moral, social, religious, and self-oriented motivations, suggesting quantitative rather than qualitative differences. Older adults (35-54 years: OR = 0.62; 55 + years: OR = 0.59) and women (OR = 0.67) were less likely to belong to the low-motivation group, while higher education (OR = 1.44) was associated with greater likelihood of low motivation. Conclusion: Volunteer motivations differ primarily in intensity rather than type, suggesting a continuum of motivational engagement rather than distinct volunteer profiles. Volunteer policies should acknowledge individual differences in motivational strength and provide opportunities designed to foster deeper and more sustained engagement. Considering sociodemographic and cultural differences can help ensure volunteering initiatives are inclusive, sustainable, and effective across diverse global settings.

Indexed as

MotivationVolunteersAdultAgedFemaleHumansLatent Class AnalysisMaleMiddle AgedSocial GroupSociodemographic FactorsSurveys and QuestionnairesYoung Adultlatent class analysisself-determination theory (SDT)sustainable developmentvolunteer motivation and endorsementworld values survey

Identifiers

PMID42534913
PMCPMC13422465

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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.