Using an empirical investigation of alternate item nonresponse adjustment procedures in a National Longitudinal Study (NLS) of missing and faulty data, it is indicated that in some cases imputation can reduce the accuracy of survey estimates. A National Sample of the high school class of 1972 is designed to provide statistics on students moving into early adulthood. The bias resulting from nonresponse and response errors is evaluated using hot deck and weighting class adjustment techniques to analyze telephone followups after the original response to 20 critical survey items. Regarding bias variance, comparison is made with estimates when no imputation or editing techniques are used. Item nonresponse imputation and adjustment procedures are presented with the design of the experimental data base. Bias, variance and mean square error estimations, and the results of the imputation comparisons are presented. The investigation of more complex statistical analyses is suggested. A bibliography is presented with appendices including an executive summary, data coding of the study, the followup questionnaire, statistical comparisons, and formulas for the standard errors program in the survey. (CM)