This inquiry is focused on three indicators of the precision of measurement--conditional on fixed values of ?, the latent variable of item response theory (IRT). The indicators that are compared are (1) The traditional, conditional standard errors, s(eX|?) = CSEM; (2) the IRT-based conditional standard errors, s[subscript irt](eX|?)=C[subscript irt]SEM=square root[1/I(?,X)] (where I(?,X) is the IRT score information function); and (3) a new conditional reliability coefficient, ?(X,X'|?). These indicators of conditional precision are shown to be functionally related to one another. The IRT-based, conditional CSEM, C[subscript irt]SEM, and the conditional reliability, ?(X,X'|?), involve an estimate of the conditional true variance, s[superscript 2](tX|?), which is shown to be approximately equal to the numerator of the score information function. It is argued--and illustrated with an example--that the traditional, conditional standard error, CSEM, is not sufficient for determining conditional score precision when used as the lone indicator of precision; hence, the portions of a score distribution, where scores are most-and-least precise, can be misidentified.