3 - Measurement Properties Part 2 Flashcards
___ measures relative reliability and is unitless
ICC
___ measures absolute reliability and has the same units as the measure
Standard Error of Measurement (SEM)
Internal Consistency
extent to which items measuring different aspects of the same construct are related
Cronbach’s Alpha
measures internal consistency, includes correlation btwn each item and correlation of each item w/ the total score
What is a good Cronbach’s Alpha value?
0.70 to 0.95
Responsiveness
ability to detect change over time, measured by MDC
Minimal Detectable Change (MDC)
Smallest change an instrument can detect that passes threshold for error.
If change > MDC, this change is not d/t error.
Higher reliability = ____ (large/small) MDC
small
True or False: MDC provides information about whether this is a meaningful clinical change
False
What 2 statistics quantify magnitude of change in standardized units?
Effect Size (Cohens d)
Standard Response Mean (SRM)
Difference between Cohens d and SRM
Cohens d: ratio of mean change to baseline SD.
SRM: ratio of mean change to change SD.
Both = difference in means / SD
Cohen’s d criteria for large/moderate/small treatment effects
0.8 = large effect
0.5 = moderate effect
0.2 = small effect
Interpretability
meaningful change over time, measured by MCID
Minimal Clinically Important Difference (MCID)
smallest difference in the measurement that signifies an important change in the patient’s condition.
If change > MCID, then an important change has occurred.
Distribution-based method of estimating MCID
assess the degree of change in a group of patients.
Within groups (pre-test and post-test scores compared) or between groups (placebo and intervention compared).
Anchor-based method of estimating MCID
use an external criterion to determine whether changes in outcome scores are clinically meaningful
Distribution-based MCID within groups is measured by
Effect Size
SRM
Distribution-based MCID between groups is measured by
Effect Size
Which types of measurements are NOT great for assessing change?
Nominal
Ordinal
Sensitivity describes the ____ rate and is good for ruling ____
True positive rate
Rule OUT
Specificity describes the ____ rate and is good for ruling ____
True negative rate
Rule IN
Sensitivity =
= # correctly test positive / # true positive
Specificity =
= # correctly test negative / # true negative
Receiver Operating Characteristic (ROC) Curve
Helpful for determining the risk/benefit.
A plot of the true positive rate (sensitivity) on Y axis versus the false positive rate (1-specificity) on X axis.
Youden Index
Point on ROC curve where it “turns”
Area under ROC curve, highest and lowest
0.5 = useless test, no predictive value.
1.0 = perfect test, 100% true positives and 0% false positives
Area under ROC curve criteria
.90-1.0 = excellent (A)
.80-.90 = good (B)
.70-.80 = fair (C)
.60-.70 = poor (D)
.50-.60 = fail (F)