Analysis of design effects and variance components in multi-stage sample surveys - ARCHIVED
Articles and reports: 12-001-X197600100006Description: Multi-stage statistical surveys as a means of obtaining socioeconomic characteristics for the population have been in use for many years. Each survey requires an extensive and precise sample design which is governed by the cost structure for obtaining the data and the variance of the characteristic data between units at various stages of sampling. The authors analyzed variance components derived from one month's data of the Canadian Labour Force Survey and examined the variance that would have resulted under different allocation strategies in Table 6 and for different average sizes of units in Table 7. The percentage components of variance, the design effects by stage of sampling and population variances between units of the various stages, as well as measures of homogeneity for households within stages, are derived and shown in Tables 2 to 5.
The analysis was carried out for the Canadian Labour Force Survey, but the methodology of component of variance estimation (Gray [4]) and the methods used to analyze the results of a particular survey are readily applied to any multi-stage statistical sample survey, where Horvitz-Thompsen estimators and ratio estimation are applied. Issue Number: 1976001Author(s): Gray, G.B.; Platek, RichardMain Product:Survey Methodology
