Data Measurement, Instruments and Sampling

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Abstract

ABSTRACTData measurement, instrument selection, and sampling are fundamental elements in quantitative research and data collection. Data measurement is the systematic assignment of numeric values or categories to variables to permit measurement with precision and accuracy. Instrument selection involves selecting the right tool or method to collect data effectively and accurately and ensure the reliability and validity of the data. Sampling is the process of selecting a subset of individuals or items from a larger population to best represent that population, free of bias and generalizable. Understanding these key terms ensures that data collected is valid, reliable, and appropriate for future statistical analysis and interpretation.
Original languageEnglish
Article number6
Pages (from-to)1-6
Number of pages1
JournalJournal of Psychiatric and Mental Health Nursing
Early online date10 Dec 2024
DOIs
Publication statusPublished online - 10 Dec 2024

Bibliographical note

© 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

  • Sampling
  • instrument
  • measurement
  • Data management
  • quantitative
  • data management
  • instruments
  • sampling

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