An assessment of sample surveys as feedback mechanisms for guiding local decision making /

Research supported by U.S. Dept. of Housing and Urban Development, Office of Policy Development and Research.

A Course on sample surveys for statistics students

Statisticians should be involved at all stages of sample surveys and courses on surveys need to reflect this by covering both theoretical and practical aspects. Teaching methods could include some hands-on experience, directed reading, and use of software designed for teaching or professional use, as well as more traditional lecturing. Suggestions are given for a course of about fifty hours.

Paradigms in Statistical Inference for Finite Populations; Up to the 1950s

Modern sample surveys started to spread after statistician at the U.S. Bureau of the Census in the 1940s had developed a sampling design for the Current Population Survey (CPS). A significant factor was also that digital computers became available for statisticians. In the beginning of 1950s, the theory was documented in textbooks on survey sampling. This thesis is about the development of the statistical inference for sample surveys. For the first time the idea of statistical inference was enunciated by a French scientist, P. S. Laplace. In 1781, he published a plan for a partial investigation in which he determined the sample size needed to reach the desired accuracy in estimation. The plan was based on Laplace s Principle of Inverse Probability and on his derivation of the Central Limit Theorem. They were published in a memoir in 1774 which is one of the origins of statistical inference. Laplace s inference model was based on Bernoulli trials and binominal probabilities. He assumed that populations were changing constantly. It was depicted by assuming a priori distributions for parameters. Laplace s inference model dominated statistical thinking for a century. Sample selection in Laplace s investigations was purposive. In 1894 in the International Statistical Institute meeting, Norwegian Anders Kiaer presented the idea of the Representative Method to draw samples. Its idea was that the sample would be a miniature of the population. It is still prevailing. The virtues of random sampling were known but practical problems of sample selection and data collection hindered its use. Arhtur Bowley realized the potentials of Kiaer s method and in the beginning of the 20th century carried out several surveys in the UK. He also developed the theory of statistical inference for finite populations. It was based on Laplace s inference model. R. A. Fisher contributions in the 1920 s constitute a watershed in the statistical science He revolutionized the theory of statistics. In addition, he introduced a new statistical inference model which is still the prevailing paradigm. The essential idea is to draw repeatedly samples from the same population and the assumption that population parameters are constants. Fisher s theory did not include a priori probabilities. Jerzy Neyman adopted Fisher s inference model and applied it to finite populations with the difference that Neyman s inference model does not include any assumptions of the distributions of the study variables. Applying Fisher s fiducial argument he developed the theory for confidence intervals. Neyman s last contribution to survey sampling presented a theory for double sampling. This gave the central idea for statisticians at the U.S. Census Bureau to develop the complex survey design for the CPS. Important criterion was to have a method in which the costs of data collection were acceptable, and which provided approximately equal interviewer workloads, besides sufficient accuracy in estimation.

Intergroup contact, forgiveness, and experience of The Troubles in Northern Ireland

Two studies used random sample surveys to test the contact hypothesis on intergroup attitudes of Catholics and Protestants in Northern Ireland. In Study 1, archival data from two different surveys in 1989 (N= 310 Catholics, 422 Protestants) and 1991 (N= 319 Catholics, 478 Protestants) showed that contact was positively related to attitudes towards denominational mixing. Study 2 (N= 391 Catholics, 647 Protestants) explored predictors of intergroup forgiveness, and also showed that intergroup contact was positively related to out-group attitudes, perspective taking and trust (even among those who had worse experience of sectarian conflict). These studies indicate that research in peace psychology can provide a deeper understanding of the conflict in Northern Ireland and, in due course, contribute to its resolution.

Small area estimation for the price of habitation transaction: comparison of different uncertainty measures of temporal EBLUP

Local level planning requires statistics for small areas, but normally due to cost or logistic constraints, sample surveys are often planned to provide reliable estimates only for large geographical regions and large subgroups of a population.

"The fertility transition in Kenya : patterns and determinants"

Thèse diffusée initialement dans le cadre d'un projet pilote des Presses de l'Université de Montréal/Centre d'édition numérique UdeM (1997-2008) avec l'autorisation de l'auteur.