专利名称：SOCIAL SCIENCE MACHINE FOR MEASURING
LATENT VARIABLE MODELS WITH BIG DATA
SURVEYS
发明人：William W. LAZARUS,Nathan G. VALENTIN
申请号：US15491958
申请日：20170419
公开号：US20170308916A1
valid from是什么意思公开日：
20171026
专利内容由知识产权出版社提供
专利附图：
摘要：The current invention is a Social Science Machine designed to articulate social science theory-based latent variable models; to operationalize such models through
survey research methodologies; and to obtain valid comparative measurements of such latent variable models from such methodologies. The embodiment described herein is the performance measurement of Well-Being Programs which are programs designed to improve the physical, or psychological health; social connectivity; coping capabilities; and development of their participants. Measurement of Well-Being Programs is fraught with threats to validity from Selection and Response Biases. The invention explicitly deals with Selection and Response Biases and can be used to establish a virtuous cycle of feedback to drive performance improvements in human services analogous to what has been achieved in manufacturing with Statistical Process Control. The invention employs a collaborative, multi-entity approach for the standardized collection and analysis of Big Survey Data derived from multiple organizations.
申请人：Seer Analytics, LLC
地址：Tampa FL US
国籍：US
更多信息请下载全文后查看

版权声明：本站内容均来自互联网，仅供演示用，请勿用于商业和其他非法用途。如果侵犯了您的权益请与我们联系QQ:729038198，我们将在24小时内删除。