VERBAL BEHAVIORS IN COMPUTERIZED LIFECOURSE SURVEYS

计算机化生命历程调查中的言语行为

• 批准号: 6928178
• 负责人: ROBERT F BELLI
• 金额: $ 22.12万
• 依托单位: UNIVERSITY OF NEBRASKA LINCOLN
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-04-30 至 2007-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6928178
• 关键词: audiotape; behavioral /social science research tag; clinical research; computer program /software; cues; data collection methodology /evaluation; data quality /integrity; health surveys; human data; interview; memory; verbal behavior

DESCRIPTION (provided by applicant): Social science surveys aimed at modeling the determinants of life course well-being often depend on the quality of retrospective reports to accurately estimate the impact of key social, economic, and health indicators. Recently developed Event History Calendar (EHC) methodologies have been shown to improve the quality of retrospective reports in comparison to traditional question-list (Q-list) approaches using both paper and pencil and computer assisted interviewing modes. However, the precise interviewing features that produce this improvement in data quality remain unspecified. This project is significant because it will address this gap in knowledge by using verbal behavior coding techniques to identify the specific interviewer-respondent interaction behaviors associated with enhanced life course retrospective recall. Specifically, this project will 1) identify the prominent retrieval and communicative patterns engendered by computer-assisted versions of the EHC and Q-list methodologies. This will be assessed through verbal behavior coding and conversational analyses of 586 audio taped interviews that were obtained in a study that compared the efficacy of EHC and Q-list interviewing techniques in terms of their ability to obtain quality retrospective reports over a lifetime response frame. 2) Using validation records from previous waves of a panel survey, this project will determine the retrieval and communicative patterns that are associated with greater completeness and accuracy in respondents' lifetime retrospective reports for each of the respective methodologies. 3) This project will determine the length of the reference periods (more recent vs. distant events) for which retrieval and communicative patterns are most effective in facilitating recall. 4) This project will contribute to the survey methodology and cognitive science literature by identifying the optimal memory cueing and conversational features to be included in health-related surveys that utilize retrospective recall measures. Ultimately, such knowledge can improve national health policy.

描述（由申请人提供）：旨在对生命历程幸福的决定因素进行建模的社会科学调查通常依赖于回顾性报告的质量，以准确估计关键社会，经济和健康指标的影响。与使用纸笔和计算机辅助采访模式的传统问题列表（Q-list）方法相比，最近开发的事件历史日历（EHC）方法已被证明可以提高回顾性报告的质量。然而，产生这种数据质量改善的精确访谈特征仍然没有明确。这个项目是重要的，因为它将通过使用言语行为编码技术来识别与增强的生命历程回顾性回忆相关的特定访谈者-受访者互动行为，从而解决这一知识差距。具体来说，这个项目将1）确定由计算机辅助版本的EHC和Q-列表方法产生的突出的检索和交际模式。这将通过言语行为编码和对话分析的586录音访谈，在一项研究中获得，比较EHC和Q-列表访谈技术的有效性，在他们的能力，以获得高质量的回顾性报告，在一生的反应框架。2)本项目将利用前几波小组调查的验证记录，确定检索和交流模式，这些模式与受访者针对每种方法的终生回顾报告的更大完整性和准确性有关。3)这个项目将确定参考期的长度（最近与遥远的事件），检索和沟通模式是最有效的促进回忆。4)该项目将有助于调查方法和认知科学文献，确定最佳的记忆提示和会话功能，包括在健康相关的调查，利用回顾性回忆措施。最终，这些知识可以改善国家卫生政策。