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Test-retest Reliability of the qReading Method in Normally Sighted Young Adults
Timothy G Shepard1, Zhong-Lin Lu, Deyue Yu
1The Ohio State University College of Optometry, Columbus, Ohio.
Summary
The novel qReading method demonstrates excellent test-retest reliability for measuring reading function in young adults. This Bayesian adaptive approach shows high precision, making it suitable for future diagnostic and treatment outcome evaluations.
Area of Science:
- Ophthalmology
- Neuroscience
- Biostatistics
Background:
- Reading function assessment is crucial for diagnosing visual impairments and evaluating treatment efficacy.
- Existing methods may lack efficiency or reliability for longitudinal studies.
- A novel Bayesian adaptive method, qReading, was developed to address these limitations.
Purpose of the Study:
- To systematically assess the test-retest reliability of the qReading method.
- To evaluate the precision and repeatability of reading function measurements using qReading.
- To determine the suitability of qReading for clinical applications in normally sighted young adults.
Main Methods:
- Five repeated measurements of reading curves were obtained within and between sessions.
- Two observer subpopulations (naive and experienced) were studied.
- Reliability was assessed using standard deviation, Bland-Altman coefficient, correlation coefficient, and Fractional Rank Precision, alongside intrinsic precision metrics.
Main Results:
- The qReading method exhibited small variability across repeated measurements, with standard deviations ≤0.092 log10 units.
- Bland-Altman coefficients of repeatability were ≤0.15 (log10)2 units, correlation coefficients ≥0.91, and Fractional Rank Precision ≥0.81.
- These results held true even without accounting for potential learning effects.
Conclusions:
- The qReading method demonstrates excellent test-retest reliability in normally sighted young adults.
- The high precision and repeatability suggest qReading is a valuable tool for measuring reading function.
- qReading is a promising candidate for future research in diagnosis and treatment outcome evaluation.

