TLS and DAT: Construct Utilization in the Behavioral Sciences

TLS 和 DAT：行为科学中的构建利用

• 批准号: 0965338
• 负责人: Kai Larsen
• 金额: $ 35.86万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-05-15 至 2013-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0965338&HistoricalAwards=false
• 关键词: TLS; DAT; Construct; Utilization; Behavioral

While it is natural for research disciplines to split into more specialized areas, the resulting divide complicates efforts to share the benefits of related research. Constructs are important underpinnings of a research method used in many behavioral and social sciences, and virtually identical constructs have been developed to support different theories, frequently under different names. As a result, useful connections are missed, constructs and theories are reinvented, and little knowledge exists about the construct origins and flow among disciplines. Intellectual Merit: This project addresses the problem by investigating the following research question: is it possible to identify closely related constructs, including those in different disciplines and use this information to measure the extent to which existing constructs are utilized effectively? The question is examined in the domain of 'latent construct research using scales,' which is typified by the studies using questionnaire scales to assess latent constructs, thus spanning multiple disciplines in the behavioral and social sciences. For this domain, the notion of a Closely Related Construct (CRC), is formulated and operationalized using a method that integrates automated text analysis, citation analysis, and meta-analysis. Using CRC, a science metric termed Construct Utilization Ratio, is formulated that measures the extent to which closely related constructs are recognized between two units, where the unit may be chosen at different collective levels, such as between theories, journals, or research areas. Broader Impact: The project examines how this metric can be used to quantitatively and qualitatively assess the extent to which CRCs for a given construct are recognized and utilized within and across different research areas. It can also reveal where opportunities and redundancies reside.

虽然研究学科分裂成更专业的领域是很自然的，但由此产生的分裂使分享相关研究成果的努力变得复杂。构念是许多行为和社会科学中使用的研究方法的重要基础，几乎相同的构念已经被开发出来支持不同的理论，经常以不同的名称。结果，有用的联系被忽略，结构和理论被重新发明，关于结构起源和学科之间的流动的知识很少。智力价值：该项目通过调查以下研究问题来解决这个问题：是否有可能识别密切相关的构念，包括那些在不同学科中的构念，并使用这些信息来衡量现有构念的有效利用程度？这个问题是在“使用量表的潜在构式研究”领域进行研究的，该领域的典型研究是使用问卷量表来评估潜在构式，因此跨越了行为科学和社会科学的多个学科。对于这个领域，密切相关结构（CRC）的概念是使用一种集成了自动文本分析、引文分析和元分析的方法来制定和实现的。使用CRC，制定了一个称为结构利用率的科学度量标准，用于衡量两个单位之间密切相关的结构被识别的程度，其中单位可以在不同的集体水平上选择，例如在理论，期刊或研究领域之间。更广泛的影响：该项目检查如何使用该度量来定量和定性地评估给定结构的crc在不同研究领域内和跨领域的认可和利用程度。它还可以揭示机会和冗余存在的地方。