对于有效的现象学研究的十个最佳实践.
Richard B Primack1, Amanda S Gallinat2,3, Elizabeth R Ellwood4,5
1Department of Biology, Boston University, Boston, MA, USA. primack@bu.edu.
International journal of biometeorology
|July 28, 2023
概括
本研究提供了现象学研究的十种最佳实践,解决了常见的数据挑战. 遵循这些准则可以确保对生态和进化反应进行准确的分析和解释,特别是关于气候变化.
科学领域:
- 生态生态学 生态生态学
- 进化生物学 进化生物学
- 气候变化科学 气候变化科学
背景情况:
- 现象学研究迅速增加,利用各种方法,如公民科学和历史数据分析.
- 了解对气候变化的生态和进化反应的进展是显而易见的.
- 然而,现象学数据集往往含有隐藏的特殊性,风险分析和解释错误.
研究的目的:
- 引导研究人员,特别是新来者,应对现象学研究中的挑战.
- 介绍设计,评估和分析现象学数据的十种最佳实践.
- 提高有关环境变化的生态研究的准确性和可靠性.
主要方法:
- 描述了设计植物和动物现象学研究的十种最佳实践.
- 详细说明评估现象学数据质量的方法.
- 概述了用于现象学研究的适当数据分析技术.
主要成果:
- 在现象学数据集中确定了常见的数据偏差和抽样问题.
- 提供有效的公民或社区科学数据收集策略.
- 建议适当地使用数据来调查现象学不匹配.
结论:
- 坚持最佳实践对于强大的现象学研究至关重要.
- 有效的数据处理和分析有助于我们更好地理解现象学.
- 本指南支持研究人员利用数据获得生态见解,特别是关于气候变化影响的数据.
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