Winnipeg Quality of Life Project Phase One Report

This project addresses the lack of neighbourhood statistical data and survey information on the quality of life in the inner city available to community groups. Many organizations and individuals in Winnipeg’s inner city are working to enhance individual quality of life in the inner city and to raise the standard of living. However, there is no adequate way, at this time, to measure change occurring in neighbourhoods. Inner city organizations and larger governmental and non-governmental organizations collect data useful to measure outcomes of specific programs and general social trends; unfortunately these data and the survey instruments used are not standardized between organizations. It is difficult to use these data when measuring the community-wide impacts of programs, perceptions of residents, and the social or economic progress of neighbourhoods and communities

Measuring Developmental Differences With an Age-of-Attainment Method

The sensitive measurement of variation in rate of attainment is an underutilized but useful indicator of individual differences in development. To assess such individuality, we used longitudinal parental diary checklists of infant attainments to estimate the ages at which ubiquitous developmental milestones like sitting and walking were reached. Parents using this diary checklist have been shown to be valid reporters of milestone attainments. Present analyses show that multiple definitions of milestone onset have high reliability as well. Babies differ considerably in their rates of development, and such individual differences in rates may be predicted from other variables with survival (event history) analysis. Ages of attainment for sustained sitting, crawling, and walking were calculated for 519 infants and predicted using 11 common covariates. Our discovery that babies of younger mothers reach these milestones sooner than those of older mothers reveals the value of an age-of-attainment (AOA) approach. A framework with a SAS program for collecting and analyzing AOA data is presented