Abstract
Data 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 language | English |
|---|---|
| Article number | 6 |
| Pages (from-to) | 680-685 |
| Number of pages | 6 |
| Journal | Journal of Psychiatric and Mental Health Nursing |
| Volume | 32 |
| Issue number | 3 |
| Early online date | 10 Dec 2024 |
| DOIs | |
| Publication status | Published online - 10 Dec 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Author(s). Journal of Psychiatric and Mental Health Nursing published by John Wiley & Sons Ltd.
Data Availability Statement
The authors have nothing to report.UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Sampling
- instrument
- measurement
- Data management
- quantitative
- data management
- instruments
- sampling
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