定量数据质量保证、分析与呈现。
Quantitative Data Quality Assurance, Analysis and Presentation.
作者信息
Slater Paul, Hasson Felicity
机构信息
Institute of Nursing and Health Research, Ulster University, Antrim, UK.
出版信息
J Psychiatr Ment Health Nurs. 2025 Jun;32(3):723-727. doi: 10.1111/jpm.13143. Epub 2024 Dec 19.
Abstract
Quantitative data quality assurance is the systematic process and procedures used to ensure the accuracy, consistency, reliability, and integrity of data throughout the research process. Effective quality assurance helps identify and correct errors, reduce biases, and ensure the data meets the standards needed for analysis and reporting. This paper provides an overview of key issues to consider when working with data and reporting findings.
摘要
定量数据质量保证是用于在整个研究过程中确保数据的准确性、一致性、可靠性和完整性的系统流程及程序。有效的质量保证有助于识别和纠正错误、减少偏差，并确保数据符合分析和报告所需的标准。本文概述了处理数据和报告研究结果时需要考虑的关键问题。
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