"生物学人类学的严格和系统的定性数据分析"
Amber Wutich1, Robin Nelson1, L Zachary DuBois2
1Arizona State University, Tempe, Arizona, USA.
American journal of biological anthropology
|March 12, 2025
概括
生物人类学在其子领域中使用定性数据分析 (QDA). 本文探讨了QDA方法及其在推进研究中的作用,包括基于社区和土著的数据主权.
科学领域:
- 生物人类学是生物学人类学.
- 定性数据分析 (QDA) 是一种方法.
背景情况:
- 定性数据分析 (QDA) 是生物人类学的组成部分,尽管往往没有明确强调.
- 了解和推进系统的QDA对该学科至关重要.
研究的目的:
- 定义生物人类学中使用的定性数据和分析类型.
- 审查六个子领域的QDA应用:灵长类动物学,人类生物学,古人类学,牙科和骨生物学,生物考古学和人类遗传学.
- 概述QDA研究方法,包括简单的技术和建模方法.
主要方法:
- 探索QDA在感应性和社区研究中的作用.
- 在混合方法,参与行动和黑人女权主义研究中讨论QDA.
- 考虑QDA项目关闭,数据共享伦理,以及"关于土著数据主权的CARE原则".
主要成果:
- QDA广泛应用于生物人类学子领域.
- 特定的QDA方法,如内容分析,语义网络分析和接地理论,可以支持模型构建.
- 对于变革性研究来说,QDA至关重要,特别是在社区参与和脱殖民主义框架中.
结论:
- 严格的QDA增强了生物人类学研究.
- QDA促进了诱导性,基于社区的和变革性的研究设计.
- 伦理数据共享和土著数据主权是QDA项目的主要考虑因素.
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