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Life course and the experiences of visible minorities and immigrants

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Title: Life course and the experiences of visible minorities and immigrants


1
Life course and the experiences of visible
minorities and immigrants
  • Victor Thiessen
  • Dept. of Sociology and Social Anthropology
  • Dalhousie University
  • Halifax, NS Canada B3H 4P9
  • Email Victor.Thiessen_at_Dal.Ca

2
The seductive appeal of a life course perspective
  • Micro-macro linkage
  • Agency-structure balance
  • Shift from variable to context
  • A move from static to dynamic analysis

3
The challenges of life course analysis
  • A perspective that provides insufficient
    perspective
  • A focus on transition sequences without a
    rationale for that focus
  • A celebration of diversity without a cause for
    celebration
  • Unusual transitions and sequences are not
    necessarily unpredictable

4
Einstein meets Mozart
  • Einstein Make everything as simple as possible,
    but no simpler
  • Mozart There are as many notes in my music as
    are needed
  • Resolution Mozart made music Einstein made
    models
  • Question What is our task?

5
Context for my subsequent remarks
  • Survey research
  • Policy relevance
  • The issue with which I am grappling Under what
    conditions can a life course framework be
    fruitfully employed when analyzing survey data as
    a basis for informing social policy?

6
Assessing the potential importance of a life
course transition or sequence
  • Resource disruption criteria
  • Independence criteria
  • Distribution criteria
  • Interaction criteria

7
Resource disruption criterion
  • Transitions are important to the extent that they
    incur either
  • a) A loss of access to capital (resources) or
  • b) Provide access to new sources of capital
  • c) Or both

8
Independence criterion
  • Transition sequences (especially non-normative
    ones) are important to the extent that they are
    statistically independent of other attributes
    characterizing individuals and their contexts

9
Multiplicative criterion
  • Life course positions, transitions, and sequences
    are important to the extent that the effects of
    the position, transition, and transition sequence
    exceed the additive effects of their constituent
    parts
  • Test

10
Distribution criterion
  • A lifecourse framework is important to the extent
    that there are sufficient numbers of cases in a
    given transition or transition sequence to be of
    policy concern

11
Interaction criterion
  • A lifecourse framework is fruitful when it
    identifies a particular transition or sequence
    that has outcomes associated with it that are out
    of line with what would be expected on the basis
    of a regression analysis.
  • Perform a regression analysis using as predictors
    all the variables that formed the basis for
    defining life course
  • Calculate the average residual for each of the
    life course groups
  • Identify the groups whose residuals are not zero

12
Ethnic Diversity Survey 2002
  • Large (N42,000).
  • Permits the construction of very detailed
    discrete life course positions
  • Nationally representative, when weighted
  • Oversampling of immigrants and ethnic groups
  • Permits an assessment of whether life course
    positions have similar effects on immigrants and
    visible minorities as they do for other Canadian
    citizens.
  • Linked with 2001 census data
  • Access to additional economic and background
    information

13
Life course position
  • Gender Male or female
  • Marital status never married, previously
    married, currently married.
  • Age of youngest child in the household no child,
    infant, preschooler, compulsory school-aged
    child, adult child.
  • Main status student, work-based, home-based,
    retired
  • Education Indicator variable for possession of a
    university degree.

14
Trust
  • Generally speaking, would you say that most
    people can be trusted or that you cannot be too
    careful in dealing with people?
  • Using a scale of 1 to 5 where 1 means cannot be
    trusted at all and 5 means can be trusted a lot,
    how much do you trust each of the following
    groups of people
  • People in your family?
  • People in your neighbourhood?
  • People that you work with or go to school with?
  • Cronbachs a .65

15
Life satisfaction
  • All things considered, how satisfied are you with
    your life as a whole these days? Again, 1 means
    not satisfied at all and 5 means very satisfied.

16
Sense of belonging
  • Some people have a stronger sense of belonging to
    some things than others. Using a scale of 1 to 5,
    where 1 is not strong at all and 5 is very
    strong, how strong is your sense of belonging to
  • Your family
  • Your ethnic or cultural group(s)
  • Your town, city or municipality
  • Your province
  • Canada
  • North Americal
  • Cronbachs a .76

17
Civic participation
  • Are you a member of, or have you taken part in
    the activities of, any groups or organizations at
    anytime in the past 12 months? For example, a
    sports team, a hobby club, a community
    organization, an ethnic association, etc.

18
Expectations
  • Life course effects differ by domain
  • Life course effects differ by immigration status
  • Life course effects exceed those of the sum of
    its parts

19
Findings
20
Additive versus interactive effects
21
Summary of findings
  • Life course has broadly similar effects on trust,
    life satisfaction, and sense of belonging
  • Life course positions in which there is a high
    level of civic participation are neither more nor
    less likely to be ones where individuals have a
    sense of belonging
  • The effects of life course position are roughly
    similar for immigrants and native-born Canadians
  • A life course framework is modestly to moderately
    better than a traditional variable approach for
    the topics investigated here

22
Conclusion
  • Constructing detailed life course positions is a
    systematic way to detect interaction effects
  • Where none are found, can proceed with
    traditional variable analysis
  • Where a few are found, can construct
    corresponding interaction variables
  • Where many are found, it would be best to abandon
    variable analysis in favour of a life course
    framework

23
Next steps
  • Identify specific life course positions/transition
    s that are out of line
  • Calculate the predicted score on the DV using the
    best OLS equation
  • Save the residuals
  • Calculate the mean residuals for all life course
    positions
  • Explore the characteristics of those whose mean
    residuals are significantly different from zero
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