Beall Cynthia M, Leslie Paul W
Anthropology Department, Case Western Reserve University, Cleveland, Ohio, 44106.
Am J Hum Biol. 2014 Sep-Oct;26(5):577-89. doi: 10.1002/ajhb.22543. Epub 2014 Mar 25.
The importance of women's reproductive histories for scientific questions mandates rigor in collecting data. Unfortunately, few studies say much about how histories were constructed and validated. The aim of this report, therefore, is to illustrate the elements of a rigorous system of data collection. It focuses particularly on potential sources of inaccuracy in collecting reproductive histories and on options for avoiding them and evaluating the results. A few studies are exemplary in their description of methods of data collection and evaluation of data quality because they clearly address the main issues of ascertaining whether or not an event occurred and, if so, its timing. Fundamental variables such as chronological age, live birth, or marriage may have different meanings in different cultures or communities. Techniques start with asking the appropriate people meaningful questions that they can and will answer, in suitable settings, about themselves and others. Good community relations and well-trained, aware interviewers who check and cross-check, are fundamental. A range of techniques estimate age, date events, and optimize the value of imperfect data. Robust data collection procedures rely on skillful and knowledgeable interviewing. Reliability can be improved, evaluated and explained. Researchers can plan to implement robust data collection procedures and should assess their data for the scientific community to raise confidence in reproductive history data.
女性生殖史对于科学问题的重要性要求在收集数据时要严谨。不幸的是,很少有研究详细说明生殖史是如何构建和验证的。因此,本报告的目的是阐述一套严谨的数据收集系统的要素。它特别关注收集生殖史时潜在的不准确来源,以及避免这些来源并评估结果的方法。一些研究在描述数据收集方法和数据质量评估方面堪称典范,因为它们明确解决了确定事件是否发生以及(如果发生)其时间的主要问题。诸如实足年龄、活产或婚姻等基本变量在不同文化或社区可能有不同含义。技术始于在合适的环境中向合适的人提出有意义的问题,这些问题他们能够且愿意回答,内容涉及他们自己和他人。良好的社区关系以及训练有素、意识敏锐且能进行核查和反复核查的访谈者至关重要。一系列技术可用于估计年龄、确定事件日期并优化不完美数据的价值。稳健的数据收集程序依赖于熟练且知识渊博的访谈。可靠性可以得到提高、评估和解释。研究人员可以计划实施稳健的数据收集程序,并应为科学界评估其数据,以增强对生殖史数据的信心。