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Stepping Up Test Score Conditional Variances
Author(s) -
Woodruff David
Publication year - 1991
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/j.1745-3984.1991.tb00353.x
Subject(s) - conditional variance , statistics , standard error , residual , variance (accounting) , mathematics , test score , conditional expectation , econometrics , standard score , autoregressive conditional heteroskedasticity , algorithm , standardized test , volatility (finance) , accounting , business
In Woodruff (1990), I derived estimates for the conditional standard error of measurement in prediction (CSEMP), the conditional standard error of estimation (CSEE), and the conditional standard error of prediction (CSEP). My original estimates assume that the conditional residual error score variances and the conditional residual true score variances, obtained from the regression of an observed score onto a parallel observed score, obey the same step‐up rules as do the marginal error score variance and the marginal true score variance. The present article derives alternative estimates for the various test score conditional variances that do not depend on these assumptions.