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Received: 1 March 2021 DOI: 10.1002/clt2.12062REVIEW Revised: 7 May 2021Accepted: 2 August 2021Validity, reliability, and responsiveness of daily monitoring visual analog scales in MASKair Bernardo
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01
Identify the instruments or measures you need to evaluate.
02
For validity, determine if the instrument measures what it is supposed to measure by comparing it to established benchmarks or criteria.
03
For reliability, test the instrument multiple times under similar conditions to check for consistency in results.
04
For responsiveness, assess how well the measure can detect changes over time or in response to interventions.
05
Document your findings and provide evidence for the validity, reliability, and responsiveness of the instrument.

Who needs validity reliability and responsiveness?

01
Researchers who are testing new measures or instruments.
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Healthcare professionals developing or assessing clinical tools.
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Educators evaluating the effectiveness of educational assessments.
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Policy makers needing to ensure data quality in evaluations.
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Organizations conducting surveys or studies requiring valid and reliable data.
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Validity refers to the extent to which a test measures what it claims to measure. Reliability is the consistency of a measure, indicating how stable and dependable the results are over time. Responsiveness is the ability of a measure to detect change over time in the construct being measured.
Researchers, clinicians, and organizations involved in clinical trials, surveys, and assessments of health outcomes are typically required to file validity, reliability, and responsiveness data to ensure the accuracy and effectiveness of their measures.
To fill out validity reliability and responsiveness, one must collect data on the measurement instruments used, conduct statistical analysis to assess validity and reliability, and document findings regarding the responsiveness of the measures, including their ability to capture changes over time.
The purpose of validity, reliability, and responsiveness is to ensure that measurement instruments are accurate, consistent, and sensitive to changes, which is critical for making informed decisions based on the data collected.
Information that must be reported includes the methods used for assessing validity and reliability, the sample size, outcome measures, statistical findings (e.g., correlation coefficients), and details on how responsiveness was evaluated.
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