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SOCIAL SCIENCE MACHINE FOR MEASURING LATENT VARIABLE MODELS WITH BIG DATA SURVEYS
SOCIAL SCIENCE MACHINE FOR MEASURING LATENT VARIABLE MODELS WITH BIG DATA SURVEYS
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机译：使用大数据调查测量潜在变量模型的社会科学机器
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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.
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