Title: Priority Scores and Percentiles
1Priority Scores and Percentiles
- James Onken, Ph.D.
- Chief, Office of Program Analysis and Evaluation
- NIGMS
2Priority and Percentile Scores
- Priority Score The average of individual
reviewers scores on 1.0 - 5.0 scale (two
significant digits), rounded to three significant
digits, and multiplied by 100 - Percentile Score The rank of an applications
priority score, relative to all priority scores
assigned in the three most recent review cycles - Example Average reviewer score 1.53
- Priority score 153
- Percentile score 20.7 (MGA)
3(No Transcript)
4Scoring Issues
- How reliable are they?
- Are they being expressed at an appropriate level
of precision? - Do the average priority score and percentile
provide enough information? - - To applicants
- - To NIH staff
- In one way or another, all three of these issues
involve score variation and what this variation
means. -
5Sources of Variation in Scores
- Individual Reviewer Scores
- True differences among applications
- True differences of opinion among reviewers
- Error
- Priority Scores
- True differences among applications
- Error
- Percentile Scores
- Variation in Priority Scores
- Variation in score base used to calculate
percentiles
6Reliability of Group Averages
- Reliability of individual reviewer score (rxx)
- True variance
- True variance Error variance
- Expected reliability of group average (rxx)
- rxx N rxx
- 1 (N-1) rxx
7Expected Reliability of Priority ScoresAs
Function of Group Size
8Misapprehension of the Advantages of Averaging
- Averaging estimates is an effective way to
improve accuracy when combining expert judgments,
integrating group members judgments, or using
advice to modify personal judgments... people
often hold incorrect beliefs about averaging,
falsely concluding that the average of two
judges estimates would be no more accurate than
the average judge. The experiments confirmed that
this misconception was common across a range of
tasks... - - Larrick and Soll, 2005
- Even subjects who were statistically
sophisticated showed limited appreciation of the
aggregation principle... - - Kunda and Nisbett, 1986
9Describing Variation in Reviewers Scores
10Variance Indicators
11Variance of Proportions (Percentiles)
- Sampling errors in proportions are a function
of - proportion (largest around 0.5)
- denominator (smaller with larger N)
-
12Standard Errors of Proportions
13Round-to-Round Variation in Percentile
ScoresAssociated with Priority Scores within the
Same Study Section
14Priority Scores Among Applications of Equivalent
Relative Rank
15Priority Score VariationAmong Applications with
Equivalent Relative Rank
- Coefficient of Variation
- Standard Deviation
- Average Priority Score
- 0.10