@article{1399735,
      recid = {1399735},
      author = {Biemer, Paul P.},
      title = {Latent class analysis of survey error /},
      publisher = {Wiley,},
      address = {Hoboken, N.J. :},
      pages = {1 online resource (xix, 387 pages ) :},
      year = {2011},
      abstract = {"This book concerns the error in data collected using  sample surveys, the nature and magnitudes of the errors,  their effects on survey estimates, how to model and  estimate the errors using a variety of modeling methods,  and, finally, how to interpret the estimates and make use  of the results in reducing the error for future surveys.  The book focuses on models that are appropriate for  categorical data, although there are references to the  differences and special problems that arise in the analysis  and modeling of error for continuous data. Though the  primary modeling method that is described is latent class  analysis (LCA), a wide range of related models and  applications are also discussed"--},
      url = {http://library.usi.edu/record/1399735},
}