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Normative data is data from a reference population that establishes a baseline distribution for a score or measurement, and against which the score or measurement can be compared. Normative data is typically obtained from a large, randomly selected representative sample from the wider population. They can be used to easily transform individual scores or measurements directly into standardized z-scores, T scores, or quantiles. Examples of psychological tests that make use of normative data in scoring include the Wechsler Adult Intelligence Scale (WAIS), the Wechsler Intelligence Scale for Children (WISC), and the Vineland Adaptive Behavior Scales. Normative data can also incorporate additional variables such as age and gender, when these variables are expected to have significant effects on the distribution of measurements; head-circumference-for-age, height-for-age, and weight-for-age norms provided by the CDC (Kuczmarski et...
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References and Readings
Kuczmarski, R. J., Ogden, C. L., Guo, S. S., Grummer-Strawn, L. M., Flegal, K. M., Mei, Z., …, Johnson, C. L. (2002). 2000 CDC growth charts for the United States: Methods and development. Vital Health Statistics, 11(246), 1–190.
Mitrushina, M. N., Boone, K. B., Razani, J., & D’Elia, L. F. (2005). Handbook of normative data for neuropsychological assessment. Oxford: Oxford University Press.
WHO Multicentre Growth Reference Study Group. (2007). WHO child growth standards: Head circumference-for-age, arm circumference-for-age, triceps skinfold-for-age and subscapular skinfold-for-age – methods and development. Geneva: World Health Organization.
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Campbell, D. (2013). Normative Data. In: Volkmar, F.R. (eds) Encyclopedia of Autism Spectrum Disorders. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1698-3_315
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