Quantitative Data Quality Assurance, Analysis and Presentation

Paul F Slater; F. Hasson

doi:10.1111/jpm.13143

Quantitative Data Quality Assurance, Analysis and Presentation

Paul F Slater, F. Hasson

Research output: Contribution to journal › Article › peer-review

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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.

Original language	English
Pages (from-to)	723-727
Number of pages	5
Journal	Journal of Psychiatric and Mental Health Nursing
Volume	32
Issue number	3
Early online date	19 Dec 2024
DOIs	https://doi.org/10.1111/jpm.13143
Publication status	Published online - 19 Dec 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Journal of Psychiatric and Mental Health Nursing published by John Wiley & Sons Ltd.

Data Access Statement

The authors have nothing to report.

Keywords

Quantitative methods
Hierarchy of evidence
Data analysis
data analysis
data management
quantitative

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1111/jpm.13143Licence: CC BY

Psychiatric Ment Health Nurs - 2024 - Slater - Quantitative Data Quality Assurance Analysis and PresentationFinal published version, 264 KBLicence: CC BY

Cite this

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Quantitative Data Quality Assurance, Analysis and Presentation

Abstract

Bibliographical note

Data Access Statement

Keywords

UN SDGs

Access to Document

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Cite this