United Nations Children's Fund, New York, NY 10017, USA.
Qualtrics, Raleigh, NC 27603, USA.
Int J Environ Res Public Health. 2021 Nov 20;18(22):12181. doi: 10.3390/ijerph182212181.
Challenges in measuring early childhood development (ECD) at scale have been documented, yet little is known about the specific difficulties related to questionnaire design and question interpretation. The purpose of this paper is to discuss the challenges of measuring ECD at scale in the context of household surveys and to show how to overcome them. The paper uses examples from the cognitive interviewing exercises that were conducted as part of the methodological work to develop a measure of ECD outcomes, the ECDI2030. It describes the methodological work carried out to inform the selection and improvement of question items and survey implementation tools as a fundamental step to reduce and mitigate systematic measurement error and improve data quality. The project consisted of a total of five rounds of testing, comprising 191 one-on-one, in-depth cognitive interviews across six countries (Bulgaria, India, Jamaica, Mexico, Uganda, and the USA). Qualitative data analysis methods were used to determine matches and mismatches between intention of items and false positives or false negative answers among subgroups of respondents. Key themes emerged that could potentially lead to systematic measurement error in population-based surveys on ECD: (1) willingness of child to perform task versus ability of child to perform task; (2) performing task versus performing task correctly; (3) identifying letters or numbers versus recognizing letters or numbers; (4) consistently performing task versus correctly performing task; (5) applicability of skills being asked versus observability of skills being asked; and (6) language production versus language comprehension. Through an iterative process of testing and subsequent revision, improvements were made to item wording, response options, and interviewer training instructions. Given the difficulties inherent in population-level data collection in the context of global monitoring, this study's findings confirm the importance of cognitive testing as a crucial step in careful, culturally relevant, and sensitive questionnaire design and as a means to reduce response bias in cross-cultural contexts.
衡量儿童早期发展(ECD)规模的挑战已被记录在案,但对于问卷设计和问题解释方面的具体困难却知之甚少。本文旨在讨论在家庭调查背景下衡量大规模儿童早期发展的挑战,并展示如何克服这些挑战。本文使用了认知访谈练习的例子,这些练习是作为制定儿童早期发展成果衡量工具(ECD 2030)的方法工作的一部分进行的。它描述了为告知问题项目的选择和改进以及调查实施工具而开展的方法工作,这是减少和减轻系统测量误差以及提高数据质量的基本步骤。该项目共进行了五轮测试,涵盖了六个国家(保加利亚、印度、牙买加、墨西哥、乌干达和美国)的 191 次一对一深入认知访谈。使用定性数据分析方法来确定项目的意图与受访者亚组之间的假阳性或假阴性回答之间的匹配和不匹配。出现了一些关键主题,这些主题可能会导致基于人群的儿童早期发展调查中出现系统测量误差:(1)儿童完成任务的意愿与儿童完成任务的能力;(2)执行任务与正确执行任务;(3)识别字母或数字与识别字母或数字;(4)持续执行任务与正确执行任务;(5)正在询问的技能的适用性与正在询问的技能的可观察性;(6)语言产生与语言理解。通过测试和后续修订的迭代过程,对项目措辞、答案选项和访谈员培训说明进行了改进。考虑到在全球监测背景下进行人口一级数据收集的固有困难,本研究的结果证实了认知测试的重要性,认知测试是仔细、文化相关和敏感问卷设计的关键步骤,也是减少跨文化背景下反应偏差的一种手段。