The Second Chance System: Results from the Three Cycles of the Youth in Transition Survey
Référence bibliographique 
Looker, Ellen Dianne et Thiessen, Victor. 2008. The Second Chance System: Results from the Three Cycles of the Youth in Transition Survey. Gatineau, Québec: Gouvernement du Canada, Human Resources and Social Development Canada, Learning Research Series.
Intentions : « This analysis examines data from three cycles of the older cohort of the Youth in Transitions Survey (YITS) to identify the characteristics of individuals who use the second chance system to complete high school or pursue PSE. » (p. 1)
Questions/Hypothèses: « [...] what happens to those who leave school early? Which of them return for a “second chance”? » (p. 1)
Échantillon/Matériau : « The data used to explore the factors that affect whether or not youth take advantage of the second chance options in Canada is from the older cohort of the nationally representative Youth in Transition Survey (YITS). This is a longitudinal survey which gathered information from youth, aged 18-20 in 2000 (cycle 1). These youth were resurveyed in two additional cycles of data collection under taken in 2002 and 2004. » (p. 11)
Instruments: « In order to reduce the number of variables to a manageable number and to minimize collinearity in the multivariate analysis, some summary scales were used or created. Other variables were re-coded to provide more meaningful categories with sufficient cases in each category. » (p. 12)
Type de traitement des données: Analyse statistique
The report « [...] starts with a review of the relevant literature that examines the factors related to both early school leaving and accessing second chance options. After a description of the data and variables used in the analysis, a brief overview of the sample characteristics is given. Central to these descriptions is the measure of the key dependent variable, which is the “dropout status”. Respondents are classified into three groups: dropouts who did not return to education (as of the third YITS data collection), those who dropped out but returned, whom called “second chance youth”, and those who never left their formal schooling. Bivariate analysis document the variables, available in the YITS, that appear to be related to this dependent variable. The heart of the analysis is the results of the multinomial logistic regression, which allowed the simultaneous control of the set of variables which were found, at the bivariate level, to be associated with dropout status. The final section of the report summarizes the key research findings and discusses some policy implications of these results. » (p. 1) The report adresses factors affecting dropping out, including parental education and socio-demographic characteristics.