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Correction of correlations diminished by range restrictionis a commonly suggested psychometric technique.Such corrections may be appropriate in appliedsettings, such as educational or personnel selection, orin more theoretical applications, such as meta-analysis.However, an important limitation on the practiceof range restriction corrections exists-an estimate ofthe unrestricted population variance is required. Thisarticle outlines and examines the accuracy of a methodfor estimating the unrestricted variance of a variablefrom the restricted sample itself. This method is basedon the observation that it is possible to table a functionof the truncated normal distribution that will allowthe extent or point of truncation to be estimated(Cohen, 1959). The correlation of the truncated variablewith other variables may then be corrected bystandard restriction of range formulas. The methodalso allows for correction of the mean of the restrictedvariable

Correcting for Range Restriction When the Population Variance is Unknown