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Reliability refers to the consistency of measurement and whether a method would produce the same results under the same conditions. There are two main types of reliability: internal consistency and inter-rater reliability. Internal consistency examines the consistency of results across items measuring the same construct using techniques like split-half reliability and Cronbach's alpha. Inter-rater reliability measures the agreement between different raters using an instrument and can be calculated using Cohen's kappa statistic. Reliability is important for ensuring measurement validity and consistency in research.
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Reliability
Reliability refers to the extent to which a scale produces consistent results, if the measurements are repeated a number of times.
Reliability is a measure of the stability or consistency of test scores.
When a measurement procedure yields consistent scores when the phenomenon being measured is not changing
Degree to which scores are free of “Measurement Error Consistency of the measurement
Example: Weighing scale used multiple times in a day by the same individual
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Inter-rater reliability
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Test-retest reliability
Test-retest reliability is a measure of reliability obtained by administering the same test twice over a period of time to same group of individuals.
Test-retest reliability is the degree to which scores are consistent over time.
Same test- different times
Example: Administering the same questionnaire at 2 different times such as IQ test.
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Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
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10. Define the mean QRS vector
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2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
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Reliability refers to the extent to which a scale produces consistent results, if the measurements are repeated a number of times.
Reliability is a measure of the stability or consistency of test scores.
When a measurement procedure yields consistent scores when the phenomenon being measured is not changing
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Test-retest reliability is a measure of reliability obtained by administering the same test twice over a period of time to same group of individuals.
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7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
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- 1. Reliability
- 2. What is Reliability • Reliability tells you how consistently a method measures something. – When you apply the same method to the same sample under the same conditions, you should get the same results. – Consistency of your measurement instrument
- 5. Reliability: Internal Consistency This form of reliability is used to judge the consistency of results across items on the same test. Essentially, you are comparing test items that measure the same construct to determine the tests internal consistency. Statistical Techniques Split-Half: Items are divided into 2 sections, then a correlation between the two sections is determined. Cronbach’s Alpha: The average of all possible split half reliabilities for a set of items By convention, a lenient cut-off of .60 is common in exploratory research; alpha should be at least .70 or higher to retain an item in an "adequate" scale; and many researchers require a cut-off of .80 for a "good scale."
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