影响肯尼亚西部青年参与发展干预程度的个别青年相关因素

Samuel Omondi Osike, Robert Kabumbuli, Achilles Ssewaya
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摘要

本文讨论了影响青年参与发展计划程度的因素。尽管肯尼亚政府及其合作伙伴为促进青年发展采取了发展干预措施,但青年参与方面仍有改进的空间。本研究采用实用主义研究哲学,在混合方法研究框架和并行三角研究设计中结合定性和定量研究方法。采用简单的随机抽样程序,选择了329名青少年进行定量成分,而有目的地选择了18名参与者进行定性成分。定量数据通过问卷调查的方式收集,定性数据通过关键线人和深度访谈的方式收集。定量数据采用统计学分析,定性数据采用专题分析。结果显示,最高比例的答复者(41.7%)参与发展干预的程度较低。青年个体因素,如教育水平(p= 0.0120)、年龄队列(p= 0.027)、地区(p= 0.010)和独立水平(p= 0.05)影响青年参与发展干预的程度。青年的性别、婚姻状况、父母的经济状况、父母的职业、父母/监护人的受教育程度与青年的参与程度没有统计学意义的关系。根据本文的结论,即青年参与度低归因于个人青年相关因素,建议根据所有青年的独特特征定制青年发展干预措施。此外,方案管理人员应鼓励青年真正参与干预措施发展的所有阶段,以确保他们拥有针对他们的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Individual Youth-related Factors Influencing the Extent of Youth Engagement in Development Interventions in Western Kenya
This paper discusses the factors affecting how much the youth are engaged in development programmes. Despite development interventions that the government and its partners have embarked on to promote youth development in Kenya, there is room for improvement in youth engagement. The study utilized a pragmatism research philosophy, incorporating qualitative and quantitative research methods within a mixed-methods research framework and concurrent triangulation research design. Using simple random sampling procedure, 329 youths were selected for the quantitative component, while 18 participants were selected purposively for the qualitative component. Quantitative data was collected through the survey method using interviewer-administered questionnaires, while qualitative data was gathered through key informant and in-depth interviews. Quantitative data were analysed statistically, while qualitative data were analysed thematically. Results show the highest proportion of respondents (41.7%) had low extent of engagement in development interventions. Individual youth factors such as the level of education (p=.0120), age cohort (p=.027), and locality (p=.010), and level of independence (p=.05) influenced the extent of youth engagement in development interventions. However, the gender of the youth, marital status, parental economic status, parental occupation and parental/guardians’ level of education had no statistically significant relationship with the extent of youth engagement. Tailoring youth development interventions to the unique characteristics of all youths is recommended based on this paper's conclusion that low youth engagement was attributed to individual youth-related factors. Additionally, programme managers should encourage genuine youth involvement in all stages of interventions’ development to ensure that they own interventions that target them.
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