2026-05-30T19:17:19Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

d311a664ea8c3e5eb8dc358ed77e1d7e44e7ca8c7f594da56f2d13b8cfa3012a 2026-05-11T01:04:24Z language:enopenaire_data

Questionnaire study on the motivation of volunteers in social organizations in the federal state of Salzburg (SUF edition) Questionnaire study on the motivation of volunteers in social organizations in the federal state of Salzburg (SUF edition) doi:10.11587/TEFGMO Kinskofer, Franziska Fischer, Elena Klackl, Johannes 2024-0.532.689 AUSSDAThe Austrian Social Science Data Archive Voluntary workMotivationPsychological well-beingSelf-esteemCommunity participationPublic opinionPsychological researchResilienceUrban populationAttitudes PsychologySocial behaviour and attitudesSocial change Full edition for scientific use. The dataset comprises fully completed questionnaire data from 566 participants residing in the federal state of Salzburg (Austria). Two main subgroups are of particular interest: currently not voluntarily engaged individuals (n = 238) and formally volunteering individuals (n = 160). In addition, honorary volunteers (n = 187) and informally volunteering individuals (n = 80) are represented, with 81 participants reporting multiple types of engagement. Group assignment was based on clearly defined engagement categories. Formally volunteering individuals are on average older (M = 51 years; SD = 15.8) than those currently not engaged (M = 40 years; SD = 15.1). Participants range in age from 18 to 80 years, with no significant gender differences in age distribution. In addition to engagement status, the dataset includes demographic and structural characteristics such as gender, age, place of residence, nationality, migration experience, employment status, education level, and number of children. The data were collected as part of a study analyzing motivational factors and recognition needs of formally volunteering and non-volunteering individuals. The questionnaire was developed based on established theoretical frameworks: Self-Determination Theory (Deci & Ryan, 2000), the Challenge/Threat Appraisal Model (Drach-Zahavy & Erez, 2002), and resilience research (Rosendahl, 2024). The dataset aims to provide evidence-based insights for enhancing need-oriented conditions and strengthening participatory, digital, and educational structures in the volunteer sector. 2025-03-122025-04-30 Austria Salzburg Individuals Formal volunteers in the social sector in the county of Salzburg, as well as non-volunteers aged 18 to 90 Numeric Cross-section Non-probability Self-administered questionnaire: Web-based (CAWI) Structured questionnaire For more Information please visit AUSSDA's web page https://data.aussda.at/oai doi:10.11587/TEFGMO 2026-05-05T00:01:05Z ddi:codebook:2_5