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Clinical Research on Dyspnea
Author Bios
What is Dyspnea?
What Provokes Dyspnea?
The Nature of Dyspnea
Language of Dyspnea
Clinical Application
Research Application
Variability in Sensations
Challenges in Study
Mechanical Loads and Sense of Effort
Chemoreceptors
Mechanoreceptors
Neuro-Mechanical Dissociation
Phase of Respiration and Dyspnea
Physiology of Dyspnea
Respiratory System
Cardiovascular System
Currently selected section: Measuring Dyspnea
Scaling Issues
Qualitative Aspects
Reliability and Validity Overview
Reliability and Validity
Sensitivity and Specificity
Scales
Sensation vs. Perception vs. Symptom
Treating Dyspnea
Why Measure?
Cluster Analysis
Statistical vs. Clinical Significance
Standard Error of Measurement
Measuring Fatigue
Measuring Depression
Measuring Anxiety and Hyperventilation
Measuring Quality of Life
Conclusion

 

Chapter 23: Dyspnea: Measuring Dyspnea: Clarifying the Research Question
        

Every applied, basic, or clinical investigation turns on the assessment of quantitative data. Numerical data is often derived using scales, which assign numbers to qualitative objects, events, or perceptions. Because of this, issues of measurement and scaling become critical considerations early in the development of any research question. The decision to measure a variable in a particular way not only directs subsequent analytic (i.e. statistical) options but also activates the general appearance of the research design. Awareness of the interrelatedness among measurement, statistics, and design is essential for the investigator preparing to measure the presence of, levels of, or changes in dyspnea.

Question 17.1

Levels of measurement are arranged

Selection ARandomly
Selection B Linearly
Selection CHierarchically
Selection DAlphabetically


 

 

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