Statistical Standards Program
Table of Contents
1. Development of Concepts and Methods
2. Planning and Design of Surveys
3. Collection of Data
4. Processing and Editing of Data
4-1 Data Editing and Imputation of Item Nonresponse
4-2 Maintaining Confidentiality
4-3 Evaluation of Surveys
4-4 Nonresponse Bias Analysis
5. Analysis of Data / Production of Estimates or Projections
6. Establishment of Review Procedures
7. Dissemination of Data
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|PROCESSING AND EDITING OF DATA|
SUBJECT: EVALUATION OF SURVEYS
NCES STANDARD: 4-3
PURPOSE: To provide the necessary information for users of the survey data to understand the quality and limitations of the data and to provide information for planning future surveys or replications of the same survey. The evaluation should also include a systematic assessment of all sources of error for key statistics that will be studied or reported in NCES publications.
KEY TERMS: coverage error, edit, estimation, field test, frame, imputation, item nonresponse, key variables, longitudinal, nonsampling error, overcoverage, pretest, response rate, sampling error, stage of data collection, survey system, undercoverage, unit nonresponse, and variance.
GUIDELINE 4-3-1A: Review past surveys similar to the one being planned
to determine what statistical evaluation data have been collected in
prior surveys and any potential problems that have been identified.
Based on this review, prepare a written summary of what is known about
the sources and magnitude of error.
GUIDELINE 4-3-1C: Watch for additional problem areas arising during the course of the survey and, where possible, collect and analyze appropriate data to assess the magnitude of the problem.
GUIDELINE 4-3-1D: Analyze data from the survey evaluation prior to or concurrent with the analysis of the survey data so that the results of the evaluation can be taken into account when processing, analyzing, and interpreting the study data.
GUIDELINE 4-3-1E: List 4-3-A may be used to help guide the development of evaluation plans during the survey planning stage and to develop a monitoring system for possible problems that may emerge during data collection and processing. The list identifies five categories of errors and enumerates potential sources of error within each category, methods to measure or evaluate them, and possible modifications for correcting them.
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