A cognitive model for identifying optimal measures of beliefs.

用于识别最佳信念测量的认知模型。

• 批准号: DP0878423
• 负责人: Prof Sara Dolnicar
• 金额: $ 15.21万
• 依托单位: University of Wollongong
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0878423
• 关键词: cognitive; model; identifying; optimal; measures

Belief measures are of high practical relevance. One current national example is measurement of beliefs about recycled water, which will affect state and territory governments' water conservation policies. Another is cultural values, measures of which can form the basis for initiatives to improve social harmony in Australia. The knowledge gained, however, is only as good as the validity of the belief measure employed. We will analyse the main types of measures used at present and develop improved belief measures which, when published, will increase the quality of research in the social sciences and enhance Australia's international scientific reputation.

信念度量具有高度的实际相关性。目前一个全国性的例子是对循环水信念的测量，这将影响州和地区政府的水资源保护政策。另一个是文化价值观，其措施可以构成促进澳大利亚社会和谐的倡议的基础。然而，所获得的知识仅与所采用的信念测量的有效性一样好。我们将分析目前使用的主要措施类型，并制定改进的信念措施，这些措施一旦公布，将提高社会科学研究的质量，提高澳大利亚的国际科学声誉。