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Statistical Policy Working Paper 3. An Error Profile: Employment As Measured by the Current Population Survey

File Language:
English


Details

  • Corporate Creators:
    United States. Federal Committee on Statistical Methodology
  • Subject/TRT Terms:
  • Publication/ Report Number:
    Statistical Policy Working Paper 3, GPO Stock Number 003-005-00182-4
  • DOI:
    https://doi.org/10.21949/1529888
  • Resource Type:
    Research Paper
  • Geographical Coverage:
    United States
  • Corporate Publisher:
    United States. Federal Committee on Statistical Methodology
  • Abstract:
    An objective of this error profile is to make a comprehensive list of the survey operations with the documentation of what is known about each survey operation as a potential source of nonsampling error. When possible, the magnitude of the error is given. When no data are available about the source of error and possible impact, this is also noted. Each stage of the survey from the choice of the sampling frame to the analysis of the data in a final publication is described. Associated with each stage of the survey is a description of the process and then a discussion of what is known about possible errors or biases arising from the process. The stages examined are as follows: 1. Sampling design: a. frames, b. sample selection, c. quality control of sampling process 2. Observational design: a. data collection procedure, b. questionnaire design, c. data collection staff, d. interviewer training, e. quality control of field work 3. Data preparation design: a. data input operations, b. cleaning, editing and imputation, c. quality control of data processing 4. Production of estimates: a weighting procedure, b. estimation procedure, c. quality control of estimation procedure 5. Analysis and publication
  • Format:
    PDF
  • Download URL:
    https://rosap.ntl.bts.gov/view/dot/72819/dot_72819_DS1.pdf
  • File Type:
    Filetype[PDF - 348.74 KB]
  • Collection(s):
    FCSM
  • Main Document Checksum:
    urn:sha-512:de0cd833b5995d5a754e090981eec8ecd55d93495f9c9c9ab0cef629a733d5949e5e13982389feff46edf7f6051e692ca2353db9a842a243840360bb95dc4cee
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