Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Quantifying Quality of Life in a Community Context and Policy Implication—An Application of MIMIC Model

Version 1 : Received: 15 September 2023 / Approved: 15 September 2023 / Online: 18 September 2023 (13:48:18 CEST)

How to cite: Hu, C.-P. Quantifying Quality of Life in a Community Context and Policy Implication—An Application of MIMIC Model. Preprints 2023, 2023091096. https://doi.org/10.20944/preprints202309.1096.v1 Hu, C.-P. Quantifying Quality of Life in a Community Context and Policy Implication—An Application of MIMIC Model. Preprints 2023, 2023091096. https://doi.org/10.20944/preprints202309.1096.v1

Abstract

This article obtains data through questionnaire survey, and then uses the Multiple Indicators Multiple Causes (MIMIC) Model to establish the Taoyuan City’s quality of life quantifying framework in a city-level community context. Statistical test results show that the reliability of overall model is high and is suitable for policy analysis. There are thirteen variables in the structural model that significantly affect the quality of life as well as eleven indicators in the measurement model that can significantly measure the quality of life. Then, half of the observations are substituted back to calculate the quality of life. Via ArcGis operation, it finds that the quality of life of Longtan District is the best as well as Dayuan District is the worst one. LISA cluster of quality of life illustrates hot spots areas are distributed in Longtan, Daxi, and Pingzhen Districts.

Keywords

quality of life; community context; policy implication; MIMIC model; ArcGis

Subject

Computer Science and Mathematics, Computer Science

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