2003 Meeting of the SSC, Halifax, Nova Scotia

Activities Sponsored by the Survey Methods Section

Workshop on Survey Methods, June 8, 2003

Panel Surveys

Speaker: Dr. Pierre Lavallée, Statistics Canada

This workshop will allow the participants to understand the basic concepts underlying longitudinal surveys, either for social or economic studies. The participants will briefly look at themes such as the advantages and disadvantages of panels, typical sampling designs, parameters related to the sampling design, longitudinal units, the use of registers and other sampling frames, sample selection, questionnaire design, data collection, non-response and estimation. With this workshop, the participants will have some notions to help them design, conduct and analyse longitudinal surveys.

Invited Sessions

Invited Session I: Survival Analysis for Complex Surveys


  • Susana Rubin-Bleuer (Statistics Canada)


  • Jerry Lawless or Christian Boudreau (University of Waterloo)
  • Susana Rubin-Bleuer ( Statistics Canada)
  • Y. Peng (Memorial University)

Special Invited Session: Recent Developments in Small Area Estimation


  • Jack Gambino (Statistics Canada)


  • J.N.K. Rao (Carleton University)


  • Donald J. Malec (U.S. Bureau of the Census)
  • Wayne Fuller (Iowa State University)

Invited Session II: Comparative Research


  • Denise Lievesley (UNESCO Institute for Statistics)


  • Scott Murray (Statistics Canada)
  • To be announced (UNESCO Institute for Statistics)
  • Tim Holt (University of Southampton)

Invited Session III: Nonparametric Analysis in Natural Resources Surveys


  • Pat Farrell, Carleton University


  • Noel Cadigan (Fisheries and Oceans Canada)
  • Jay Breidt (Colorado State University)
  • Changbao Wu (University of Waterloo)

Case Study: Neighbourhood Factors and Children: Hierarchical Linear Models and Small Area Statistics


The data for this study are taken from the synthetic file released for cycle three of the National Longitudinal Survey of Children and Youth (NLSCY). The data provided represent only a subset of the data available. The provided data represent children aged 4, 5 or 6, living in one of 24 major metropolitan areas. 1016 records are provided. In addition to studying the relationship between child outcomes and determinants, the student will learn about hierarchical methods and small area statistics.