Latent Class Analysis of Survey Error
Datos Bibliográficos
| ID | 19905331 |
|---|---|
| Autores | Paul P Biemer (0000-0003-2214-2707, Naval Dockyards Society, autor de correspondencia) |
| Año | 2010 |
| Páginas | 387 |
| Fecha de publicación | 2010-12-06 |
| Open Access | Sí |
| Tipo | BOOK |
| Revista | Latent class analysis of survey error (SOURCE_BOOK) |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9780470891155 |
| OpenAlex | W593310612 |
| Open Library | OL25059529M |
| ISBN | 9780470891155 |
| Idioma | EN |
| Citas recibidas | 14 |
| Referencias citadas | 1 |
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
Cronbach's alpha · Errors-in-Variables Models · Item response theory · Mean squared error · Observational error · Polytomous Rasch model · Psychometrics · Reliability (semiconductor) · Statistics · Mathematics · Survey Methodology and Nonresponse · Error analysis (Mathematics) · Estimation theory · Sampling (Statistics) · Sampling Studies · Selection Bias · Statistics as Topic · Surveys
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| Obras citantes distintas | 14 |
|---|---|
| Citas por año | 0,88 |
| Intervalo de citas | 2010 - 2025 (16) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 7 |