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by
John Hagan, Ronit Dinovitzer and Patricia Parker
* Order of authorship does not reflect
seniority nor priority. This research was supported by a grant from the Center for
Research on Immigration and Settlement.
The study of educational attainment has been characterized by two very
different, yet important modes of inquiry; the first tends to focus on structural
determinants, while the second is a more individual-level examination of the factors
differentiating successful students from their less successful counterparts. While
structural determinants such as parental socioeconomic status have proved to be strong
determinants of educational attainment, Bourdieu and Passeron ([1964] 1979) have argued
that students educational attainment should not be conceived as mechanically
determined(p.25). In other words, despite the strong influence of social structure,
human agency and the power of choice remain. Clausens (1991) work on the
planful competence of adolescents has illuminated the importance of human
agency inherent in all decision-making. Much of the research in this area, however, has
not integrated these two modes of inquiry, providing a somewhat limited perspective on an
adolescents journey through the educational system. In a recent article suitably
titled "History and Agency in Mens Lives", Shanahan, Elder and Miech
(1997) have pursued this integrative approach, examining both individual choices and
structural factors in assessing educational attainment.
This study examines the educational attainment of immigrant youth in a
Canadian suburb focussing on the determinants of their educational success; these
immigrant children can be referred to as the "one-and-a-half generation" (Zhou
1997; Rumbaut 1991). Most Canadian studies have not jointly examined structural and
individual-level factors in analysing the educational attainment of native-born and
immigrant youth, probably because most of these studies rely on census data. These studies
are typically descriptive, and focus on structural determinants of the educational success
of various ethnic groups, or the comparative success of foreign-born Canadians (Hou and
Balakrishnan 1996; Geschwender and Guppy 1995; Kalbach and Kalbach 1995; Shamai 1992;
Jones 1987). In an effort to better understand factors that mediate the relationship
between structural variables and educational attainment, several Canadian studies have
drawn on sample surveys (Bellamy 1993; Krahn and Lowe 1991; Richmond 1986), but few of
these studies have distinguished the experiences of immigrant youth (but see Anisef 1975).
Furthermore, data from the General Social Survey have been used to explore a variety of
individual-level factors related to educational attainment (Anisef and Johnson 1993).
However, these studies are more empirically than conceptually driven, and therefore tend
to remain insufficiently theorized. The result is that we do not yet have a coherent
theoretical explanation for the educational attainment of immigrant youth (c.f. Portes
1997). Finally, few studies integrate both structural-level and individual-level
determinants, and thus only explain part of the complex social process of immigrant
educational attainment (but see Shanahan, Elder and Miech 1997).
The Educational Attainment of Canadian Immigrants
Canadian research on educational attainment has focussed mainly
on ethnicity rather than immigration status (Shamai 1992; Herberg 1990), often emphasizing
a multidimensional definition of ethnicity (cf. Kalbach and Kalbach 1995). While this has
provided important insights into ethnic stratification in Canada, the task remains of
separating the attainments of foreign-born and native-born Canadians. As Geschwender and
Guppy (1995) note, "[t]he effect of ethnicity on educational attainment is thus
confounded with migration histories" (p.69), perhaps "mask[ing] inequalities in
attainment if foreign-born ethnics have high attainments while native-born ethnics are
less successful" (p.69). Despite these limitations, prior Canadian research has
uncovered some important determinants of educational attainment for immigrant adolescents.
Based on a survey in the Toronto metropolitan census area, Richmond
(1986) found that immigrants of non-UK/US origin exhibited "considerable upward
mobility and achievement in terms of education and qualifications" (p.87). This
finding was generally replicated by other researchers. For instance, studies have found
that minority groups who immigrated mostly since 1970 have had higher educational
attainments than the national average (Hou and Balakrishnan 1996: 311); that for most
minority groups, immigrants to Canada before the age of 10 have achieved parity or have
surpassed British-Canadians in terms of educational attainment (Hou and Balakrishnan
1996); that among European immigrant groups overall education levels differ markedly,
though immigrants who arrive at an early age tend to attain significantly higher education
levels than those who immigrate at later ages (Hou and Balakrishnan 1996); and that those
who immigrate at a young age tend to attain higher educational status than older
immigrants (Kalbach and Kalbach 1995). As a result, age at immigration has become a focal
point for many such studies (Jones 1987; Boyd 1985; Kalbach and Kalbach 1985; Inbar 1977),
with Statistics Canada adding an "age at immigration" variable to the Census of
Canada in the early 1980s (Kalbach and Kalbach 1995). Investigation of the relationship
between age at immigration, acculturation, and socioeconomic integration has raised
important concerns regarding ethnic connectedness and educational achievement: as Kalbach
and Kalbach (1995) conclude, "the evidence to date still suggests that being more
ethnic, regardless of origin, presents more obstacles to educational and socioeconomic
status achievement than being less ethnically oriented and committed" (p.31).
While the majority of Canadian research has centred on descriptive
analyses of who succeeds, or the distilling of structural determinants of
educational attainment (e.g. age at immigration), sample survey research has the potential
of further revealing individual-level determinants of success. One such study was
conducted by Anisef (1975), who found that foreign-born students, or students whose father
was foreign-born, were more likely to plan for higher education than native-born students;
these students, for instance, were more likely to plan to attend university or colleges of
applied arts and technology (p.132). Furthermore, corroborating the success of ethnic
groups based on census-based studies, Anisef (1975) found that foreign-born students, or
students whose father was foreign-born, had higher grades in high school. Similarly,
results from the 1986 and 1989 General Social Surveys (based on analyses of students in
Ontario) indicate that foreign-born students spent more time per day generally on
education and related activities (Anisef and Johnson 1993:27), and on homework
specifically (Anisef and Johnson 1993, table 12:123). The same relationships held true for
youth whose mother tongue was neither English nor French (Anisef and Johnson 1993, table
12:123). Furthermore, more foreign-born students expected to continue their education and
planned to attain graduate degrees than their Canadian born counterparts. While students
whose mother tongue was neither English nor French were more likely to expect to work
after graduation, they all planned to further their education within the next five years
(Anisef and Johnson 1993, table 19:130). Interestingly, foreign-born students were also
less satisfied with their education than native-born students, as were those whose mother
tongue was neither English nor French (Anisef and Johnson 1993, table 20:131). Finally, in
a multivariate analysis of the predictors of educational attainment, Richmond (1986:83-5)
found that controlling for immigration status, respondents with higher educational
attainment had higher occupational ambitions, more parental encouragement in their
studies, higher levels of parental education and fewer siblings.
The Educational Attainment of US Immigrants
As in the Canadian context, few US studies have focussed their
attention on the educational attainment of immigrant children, with most studies either
focussing on immigrant adults, or on race rather than immigration status (cf. Zhou 1997;
Vernez and Abrahamse 1996). Where the educational experience of immigrant children is
concerned, studies have been primarily ethnographic and are "rich in textured
descriptions in specific school settings but do not permit generalizations to all
immigrant youths either within a state or nationally" (Vernez and Abrahamse 1996:3).
There is, as a result, a paucity of data on the specific educational outcomes of US
immigrants.
Generally, the experience of immigrants in the US educational system
has parallelled that of Canadian immigrants. According to a recent review of the
literature, US evidence indicates that compared to their native-born counterparts,
immigrant youth do comparatively well in school (Zhou 1997). Foreign-born students are
most likely to enroll in post-secondary education and to attend college continuously for
four years (Vernez and Abrahamse 1996). Compared with native-born students, immigrant
students not only have more positive attitudes toward schooling and higher aspirations for
college education, but are "more likely to make choices consistent with eventual
college going" (Vernez and Abrahamse 1996:32).
In explaining the determinants of educational attainment in the US,
analyses have consistently demonstrated that parental education and socioeconomic status
(SES) are positively related to educational success, both for foreign-born and native-born
youth (Vernez and Abrahamse 1996:52). Based on longitudinal data of high school sophomores
and seniors, Vernez and Abrahamse (1996) also found that having either no siblings or more
than three siblings has a negative effect on educational attainment and that the higher
the educational level of either parent, the higher the education of the immigrant student
(p.52). While immigrant students are not more likely than native-born students to graduate
from high school or attend college, they are more likely to attend college continuously
for four years (p.49-50). Length of time in the US is also an important consideration;
immigrant students who spent more time in the US are more likely to attend college, and to
attend continuously for four years, than more recent immigrants (p.51). Finally, speaking
English at home is not positively related to these students educational outcomes
(p.51). Vernez and Abrahamse (1996) also explored individual-level variables for both
foreign- and native-born students, including parental expectations and students
motivation to work hard. With respect to the foreign-born students, parental expectations
appear to be more closely related to students success than students own
attitudes; while "parental expectations for, and support of, the childrens
education are both strongly and independently associated with eventual pursuit of a
postsecondary education" (p.57-59), students motivation to work hard in school
was actually negatively associated with college attendance among foreign-born students
(Vernez and Abrahamse 1996, table 6.4: 55).
A recent article by Zhou (1997) offers an excellent overview of many of
the studies regarding the attainments of immigrant children; the present discussion
touches on some of the relevant studies. Focussing on the effect of race and ethnicity for
immigrant children, Kao and Tienda (1995) use data from the National Educational
Longitudinal Study to demonstrate that parental education and SES are strong predictors of
educational attainment for foreign-born students, and that parental involvement plays a
key role in these students successful outcomes. Kao and Tienda (1995) also find that
foreign-born children and children of immigrants "earned higher grades and math
scores and expressed higher educational aspirations than children of native-born
parents...even after the effects of race, ethnicity, and parental socioeconomic status
were held constant" (p.9). Finally, examining the effects of Mexican students
English-language proficiency on academic performance, Rumberger and Larson (1998) found
that students with limited language proficiency had lower academic grades than other
students, even after controlling for background factors, including whether the student was
foreign- or native-born. The most successful students were those who came from non-English
speaking backgrounds and who became fluent in English, but, surprisingly, came from lower
socioeconomic backgrounds; the authors argue that this proficiency in English is therefore
an indicator of the students cultural, rather than social-class, advantage.
Furthermore, measures of academic engagement such as classroom work habits and absenteeism
were predictive of students school performance. That the predictors of educational
attainment were both a students academic performance as well as his/her proficiency
in English lends credence to the authors conclusion that "the results seem to
validate a conceptual framework that recognizes that both the social and the academic
dimensions of school behaviour are necessary for understanding educational
achievement" (Rumberger and Larson 1998:87).
Social Capital and Educational Attainment
To better understand the determinants of educational attainment,
some authors have looked to the concept of social capital to capture the network of
support essential for students success. Reacting to the "individualist bias in
neoclassical economics" (Coleman 1990:301), James Coleman developed the notion of
social capital as an intangible social resource that individuals can draw upon to
facilitate action and relations, "making possible the achievement of certain
ends" (Coleman 1990:302). In a recent review, Portes (1998) explains that "the
consensus is growing in the literature that social capital stands for the ability of
actors to secure benefits by virtue of membership in social networks or other social
structures" (p.6). Of course, social capital does not always lead to positive
outcomes and Colemans work does not argue that society as a whole is always better
off because of its presence. Nonetheless, social capital functions as a resource that
individuals can often mobilize in particular situations (Coleman 1990:302).
In the educational context, researchers have drawn on the concept of
social capital to understand the ways in which students benefit by membership in certain
communities or networks which allow them to draw on positive role models, encouragement,
support and advice. For immigrant communities, being able to draw on social capital may be
especially important (Portes 1997; Stepick 1996; Zhou and Bankston 1994; Portes and
Sensenbrenner 1993). As Bourdieu and Passeron ([1964] 1979) argue, there are serious
cultural obstacles for youth who do not come from the established social class and who do
not necessarily benefit from the same social resources:
Even if there were no other evidence and if we knew nothing of the
numerous and often very indirect ways in which the school system steadily eliminates
children originating from the least privileged backgrounds, proof of the magnitude of the
cultural obstacles which these children have to overcome could be found in the fact that
even at the level of higher education, one still finds differences in attitudes and
ability that are significantly related to social origin, although the students whom they
differentiate have all undergone fifteen or twenty years of the standardizing influence of
schooling... (Bourdieu and Passeron [1964] 1979:8)
That some ethnic communities have very high educational success, then,
may be related to the extent and form of social capital that they can draw upon within
their own networks (see, for example, Stanton-Salazar and Dornbusch 1995). In fact, recent
studies indicate that in spite of their lack of attachment to outside networks, immigrant
families draw on social capital that stems from familial or ethnic networks (Portes 1998;
Zhou 1997). In this vein, Portes and MacLeod (1996) hypothesized that ethnic groups that
were well received in the US have been able to build stronger communities and networks,
facilitating the development of social capital with subsequent positive effects for these
childrens outcomes. Such well-received immigrant groups were found to have superior
academic outcomes regardless of SES, suggesting that "the internal character of the
community plays a key role in encouraging students to achieve" (Portes and MacLeod
1996:264). Stanton-Salazar and Dornbusch (1995) conclude that the Mexican-origin high
school students with higher grades and status expectations in their sample generally had
"greater social capital than their counterparts with lower grades and
expectations" (p.130); these students were those with the most ties to institutional
agents who could provide them with informational support (p.122). Similarly, White and
Kaufman (1997) find that social capital is a significant predictor of high school
completion among immigrants and native-born ethnic groups, controlling for factors such as
grades, educational expectations and familial socioeconomic status. Significantly, they
find that social capital "can buffer the risks associated with foreign birth and
lower socioeconomic origins" (p.397). Kalmijn and Kraaykamp (1996) focus on
"cultural capital," a related concept characterized by socialization into
high brow culture, and find that it is associated with higher levels of
schooling, controlling for background characteristics. Overall, as Zhou and Bankston
(1994) conclude based on a study of Vietnamese youth, social capital is integral to
understanding the outcomes of immigrant youth:
... ethnic social integration creates a form of social capital that
enables an immigrant family to receive ongoing support and direction from other families
and from the religious and social associations of the ethnic group. Consequently,
community standards are established and reinforced among group members, especially among
younger members .... We thus conclude that social capital is crucial and, under certain
conditions, more important than traditional human capital for the successful adaptation of
younger-generation immigrants (p.842).
The Relationship Between Social Capital and Planful
Competence
While these studies highlight the impact of social capital on
educational attainment, Bourdieu and Passeron ([1964] 1979) remind us that despite a lack
of social capital, students from disadvantaged groups can succeed educationally.
Similarly, the existence of social capital is no panacea; as Bellamy (1993) cautions,
"[f]amily background provides individuals with social, cultural, and economic
capital. This capital, however, must be actively invested" (p.140). Choices made by
students in their progress through the educational system remain pivotal. To better
understand the process of adolescent decision-making, Clausen (1991) introduced the
concept of planful competence, arguing that students who succeed do so because
they make the right choices or at least refrain from making unwise choices
throughout their adolescence. Clausens analysis of longitudinal data reveals that
this competence is an essential ingredient in understanding educational attainment. Social
capital, however, can also be an important mediator of these individual choices. As
Shanahan, Elder and Miech (1997) point out, "[a] contextual perspective on agency
suggests that adolescent planfulness predicts educational attainment, but only when the
social structure provides viable alternatives between school and work" (p.56).
Drawing upon social capital in making individual choices can lead to better informed
decisions, whose effects, as Clausen notes, can last a lifetime. In fact, Clausen (1991)
finds that for males, adolescent competence is the largest contributor to explained
variance in occupational attainment (p.822). Thus, the contextual effects of social
capital and human agency are important not only for educational attainment, but for longer
term outcomes such as occupational attainment. The literature on immigrants
occupational attainment is extensive (see, for example, Portes and Rumbaut 1996; Hou and
Balakrishnan 1996; Geschwender and Guppy 1995; Borjas 1994; Boyd 1985; Porter 1965). The
present study assesses occupational attainment as the outcome in the trajectories
established by immigrants educational histories.
Data and Method
This study explores the educational paths of immigrant students
through a 19-year multiwave panel study undertaken from 1976 to 1995 in suburban Toronto
(Canada). The first of the three waves of the Toronto panel study began in 1976 when the
respondents were adolescents attending four high schools in a community of about a half
million people. This suburban community has grown dramatically in population over the past
30 years, with population increases centered around the intersection of the two major
highways that access the city. The sampling frame for the first wave of the study in 1976
was the enrollment lists of all students in grades 8 through 12 from all four secondary
schools, including a vocational school, that served the central area of this community.
The original sample was disproportionately stratified by housing type
to increase class variation; we used addresses to sample respondents in equal numbers from
single- and multiple-family dwelling units. Sampled students were personally invited and
paid five dollars each to participate after school in the survey. The response rate was
83.5%, providing 835 secondary school students for the first wave of the panel.
Thirteen and nineteen years later, telephone interviews were completed
with 570 and 544 of the first wave respondents, representing response rates, uncorrected
for death or other sources of attrition, of 68% and 65% respectively. Analyses of
attrition across waves of the panel have revealed no patterns that bias multivariate
findings based on these data (see Hagan 1991; Hagan &Wheaton 1993; Hagan et al. 1996).
The immigration status of the respondents was categorised into three possible options:
those who immigrated to Canada with English as their first language, immigrants to Canada
for whom English was a second language, and native-born Canadians.
In assessing the educational outcomes of immigrant students, this study
integrates the structural and individual approaches by relying on theories of social
capital and planful competence. We employ familial- and school-based measures of social
relations to assess the social capital of immigrant students. As Hagan et al. (1996) point
out, "socially structured relations between individuals (e.g. parents, teachers,
neighbors and children) in social groups (e.g. families, schools and neighborhoods) are
sources of social capital that increase the capabilities of children" (p.370). We
rely on measures of a students relational ties to parents, the degree of parental
supervision, and the students extent of attachment to school as indicators of
students social capital (see Table 1).
We measure an adolescents planful competence in terms
of efforts to at school. As Table 1indicates, students were asked, "On the average,
how much time do you spend doing homework outside school?" This measure should
reflect the extent to which the students are investing in educational choices by putting
effort into their schooling.
Results
Table 1 presents definitions and summary statistics for
variables used in the analysis and reveals that 11% of respondents were immigrants who
spoke English as their first language, while another 11% were English Second-Language
(ESL) immigrants. The average educational attainment in the sample was 2.7, indicating
that the average respondent had completed high school and attained some post-secondary
education. The mean differences presented in Table 2 indicate that
while ESL students mothers had lower occupational status than native-born and other
immigrants mothers, the ESL children had the highest amount of parental supervision,
attachment to school, effort at school and English grades. Overall, these ESL immigrant
students also had the highest educational attainment of all respondents. The ESL students
also reported the lowest levels of delinquency, though this difference was not
statistically significant.
Table 3 reports the findings from four separate
models. The first model predicts educational and occupational attainment using ordinary
least squares (OLS) regression, and the remaining two models use logistic regression to
predict the likelihood of students dropping out of high school and the probability of
university attendance. We first examined the relationship between immigration status and
educational attainment using controls for age, gender, language status, pre-school or
primary school immigration and parental occupational status. As indicated in the first
column of Table 3, English second language status is significantly
and positively correlated with educational attainment, as is fathers occupational
status, while pre-school immigration tends to lower educational attainment. The elaborated
model, in the second column of Table 3, indicates that while being an ESL immigrant
student is positively related to educational outcomes, these students no longer perform
significantly better than their counterparts when the social capital and planful
competence variables are introduced. Rather, the effects of gender, fathers
occupational status, a students ties to his/her parents, attachment to school,
effort at school, math and English grades all significantly increase students
educational outcomes. Thus, this model suggests that ESL students achieve higher
educational attainment because of their increased social capital and effort at school.
This full model also explains 24% of the variance in educational attainment, compared to
only 5% in the previous model.
The second model, presented in the third and fourth columns of Table 3,
indicates that the odds of dropping out of high school are higher for men than for women,
and are also higher for students whose fathers have a lower occupational status. In the
full model, these effects disappear, indicating that a students attachment to
school, math grades and English grades mediate the effects of gender and socioeconomic
status. These results indicate that attachment to school and effort in school are
important determinants of students academic success and persistence in education.
The third model predicts the likelihood of university attendance. The
initial equation, presented in column five, indicates that the significant predictors of
university attendance are English as a second language and fathers occupational
status, while pre-school immigration lowers the odds of university attendance. The second
equation introduces the social capital and competence variables and indicates that
students with stronger ties to their parents, higher attachment to school, greater effort
at school, and higher math and English grades are all more likely to attend university.
Furthermore, being male increases the likelihood of university attendance, but the effect
of parental occupation is insignificant. Interestingly, in this final model, ESL students
are 2.5 (exponential .92=2.51) times more likely than native-born students to attend
university, net of all other factors. ESL status may be predictive of university
attendance rather than educational attainment more generally because a small percentage of
the entire sample actually attended university making this outcome more distinctive.
In order to investigate whether the effects of structure and agency
ultimately exert an important effect on occupational attainment, we predicted a model
examining the relationship between immigration status and occupational attainment with
controls for age, gender, language status, pre-school or primary school immigration and
parental occupational status, and restricted the sample to those who were active in the
labour force. As indicated in the seventh column of Table 3, fathers occupational
status is significantly and positively correlated with occupational attainment, while
pre-school immigration tends to lower occupational outcomes. The elaborated model, in the
eighth column of Table 3, introduces the social capital and competence variables, as well
as a variable indicating university attendance. As expected, in this final model, the
effects of a students competence and university attendance significantly predict
occupational attainment, mediating the effects of fathers occupational status and of
pre-school immigration. In this final model, university attendance now seems to act as a
surrogate for social capital, as the other social capital variables are no longer
significant in this equation. This is perhaps not surprising since the previous measures
of social capital relate to the respondents social capital during adolescence. Once
the transition to university is made, it may absorb the earlier effects of social capital
and become the credential that continues to carry the resulting benefits.
Finally, we estimated a path model of occupational attainment for the
447 respondents who were active in the labour force. This final model includes all
variables that were significant at the .05 level with standardized coefficients greater
than .1, as presented in Figure 1. This path model illustrates that ESL immigrant students
attain higher occupational attainment through two main paths that reflect the influences
of structure and agency. First, we see that ESL immigrant students succeed because of
their agency, as reflected in their attachment to school, efforts at school and their
subsequent high math grades; the model also specifies that effort at school results from
strong relational ties to parents and an ensuing higher attachment to school. Yet these
students succeed not only through their efforts, but because they have attended
university. While university attendance is partially based on a students attachment
to and efforts in school, it is also predicted by ESL status. As argued above, university
attendance is an endogenous variable in this path model, representing the culmination of a
students accumulation of social capital in adolescence. In this sense, university
attendance becomes a key structural variable that accounts for later occupational success.
Discussion
Canadian studies have found that many immigrant groups succeed
educationally, yet few have explored why this is so. This study has explored social
capital and planful competence as determinants of educational attainment. We expected that
familial and school-based social capital would be essential components of students
success because they would provide necessary supports and networks that all students, and
perhaps especially immigrant students who may lack other sources of social capital,
require. As Clausen (1991) points out, "[p]arents or other adults who can provide an
orientation to potential options and who can raise thoughtful questions to help the
adolescent identify important issues can assist enormously" (p.808). Recognizing that
the choices a student makes throughout an educational career are pivotal, we hypothesized
that both a students social context as well as his/her ability to make competent
choices would be both complementary and essential components of educational success.
The findings from this study support these hypotheses. The measures of
social capital were significantly and positively related to higher educational attainment.
We found that net of background factors such as parental occupational status, students
with stronger ties to their parents and higher attachments to school were more likely to
succeed. Furthermore, the data indicate that measures of competence are also independently
and significantly related to educational success, with increased effort at school
predicting higher educational attainment. This confirms the importance of both the
independent efforts of students and the social background in which the student is able to
build positive social and familial attachments in determining educational success for
immigrant students.
Very similar results were found with respect to the likelihood of
university attendance. This model suggests that the effects of social capital and planful
competence mediate the effect of fathers occupational status; as Davies and Guppy
(1997) note, there may be a relative "liberation" of students from their
socioeconomic status in higher education. This elaborated model also indicates that ESL
status is significantly and positively associated with university attendance, even when
controlling for background, social capital, and competence variables. We may hypothesize
that this strong relationship is a surrogate for a students bilingual status since
the descriptive data also indicated that the ESL students English grades were
significantly higher than all other students English grades. Previous research has
indicated that bilingual students have higher educational outcomes than English-only or
limited English-speaking students (Rumberger and Larson 1998; Zhou 1997; Stanton-Salazar
and Dornbusch 1995; Portes and Schauffler 1994; Peal and Lambert 1962). Bilingualism
enables biculturalism, indicating a students "cultural, rather than ...
social-class, advantage" (Rumberger and Larson 1998:86). This biculturalism may allow
students to take advantage of the social capital available to English speakers by
facilitating access to mainstream institutions which may "actively transmit values
resources, special privileges, and personal assurances of future sponsorship"
(Stanton-Salazar and Dornbusch 1995:120), while continued proficiency in a native language
"can facilitate access to the social resources of ethnic communities" (Bankston
and Zhou 1995:6). Because they can draw on the resources of both "mainstream"
and ethnic communities, these students may be well-positioned to make competent choices,
informed by a variety of perspectives, leading to successful personal outcomes.
Clausen (1991) suggests that the choices made in adolescence can last a
lifetime. The models we have estimated predicting occupational attainment are indicative
of this kind of lifetime influence. In essence, we have found that choices made by the
respondents when they were adolescents had substantial effects on their occupational
outcomes twenty years later. The equations predicting educational attainment suggest,
however, that both agency and structure are important in determining occupational
outcomes, with the effects of university attendance representing the culmination of
students social capital in adolescence, and exerting strong and positive effects on
occupational attainment.
The experience of immigrant students in the educational system,
according to the data from this study, can be very positive. Their success is not
necessarily contingent on their socioeconomic background, but on their planful choices to
work hard while also maintaining close attachments to social and familial networks. These
results highlight the importance of both individual agency and social structure as
determinants of educational attainment. The high educational and occupational attainments
of these students, in Bourdieu and Passerons ([1964] 1979) terms, indicate that they
have not been "crushed by the weight of their social destiny" (p.25).
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Table 1. Descriptive
Statistics for Variables in Toronto Panel Study, 1976-1995 (n=447) |
Variable |
Measure & Values |
_ |
S.D. |
Age (1976) |
Reported Years of Age |
15.473 |
1.568 |
Gender (1976) |
Reported Sex (Male=1) |
.593 |
.492 |
English First Language
Immigrant (1976) |
English First Language=1 |
.112 |
.316 |
English Second Language
Immigrant (1976) |
English Second Language=1 |
.110 |
.313 |
Pre-School Immigrant (1976) |
Pre-School=1 |
.065 |
.247 |
Primary School Immigrant
(1976) |
Primary School=1 |
.114 |
.318 |
Secondary School Immigrant
(1976) |
Secondary School=1 |
.060 |
.238 |
Fathers Occupational
Status (1976) |
Treiman Scalea |
45.895 |
10.760 |
Mothers Occupational
Status (1976) |
Treiman Scalea |
41.991 |
7.858 |
Relational Ties to Parents
(1976) |
"Do you talk about your thoughts and
feelings with your mother/father?"b |
4.011 |
1.203 |
Parental Supervision (1976) |
"Does your mother/father know
where/who you are with when you are away from home?" |
10.283 |
2.561 |
Self Reported Delinquency
(1976) |
"How often in the last year have you:
Taken little things (worth less than $2) that did not belong to you?
Taken things of some value (between $2 and $50) that did not belong to
you?
Taken things of large value (worth over $50) that did not belong to you?
Taken a ride in a car without the owners permission?
Banged up something that did not belong to you on purpose?
Beaten up anyone or hurt anyone on purpose?"c
|
9.085 |
3.428 |
Attachment to School (1976)
1-5 |
"Generally speaking, do you like
school?"d |
3.115 |
1.041 |
Effort at School (1976)
1-7 |
"On the average, how much time do you
spend doing homework outside school?"e |
3.726 |
1.721 |
Math Grades (1976) |
|
62.018 |
11.884 |
English Grades (1976) |
|
66.165 |
15.109 |
Educational Attainment (1996) |
High School Dropout=1
High School Graduate=2
Community College/Technical School=3
University=4 |
2.781 |
1.016 |
Occupational Attainment (1996) |
Treiman Scalea |
46.201 |
11.381 |
| Table 2. Mean differences
Between Immigrants with English as First and Second Language and Canadian Born Panel
Respondents on Adolescent Background and Adult Outcome Variables |
Variables |
English as First Language |
English as Second Language |
Canadian Born |
t-value (ESL/Others) |
Age |
15.44 |
15.735 |
15.44 |
1.24 |
Gender |
0.6 |
0.531 |
0.602 |
-0.95 |
Pre-School Immigrant |
0.24 |
0.204 |
|
|
Primary School Immigrant |
0.42 |
0.429 |
|
|
Secondary School Immigrant |
0.26 |
0.225 |
|
|
Fathers Occupational Status |
46.193 |
44.806 |
46.005 |
-0.75 |
Mothers Occupational Status |
41.616 |
39.788 |
42.356 |
-.209* |
Relational Ties to Parents |
3.94 |
4.082 |
4.012 |
0.43 |
Parental Supervision |
10.16 |
10.918 |
10.211 |
1.85* |
Self Reported Delinquency |
9.44 |
8.592 |
9.104 |
-1.07 |
Attachment to School |
3.08 |
3.429 |
3.075 |
2.25* |
Effort at School |
3.82 |
4.469 |
3.607 |
3.24* |
Math Grades |
63.934 |
62.104 |
61.731 |
0.05 |
English Grades |
61.617 |
69.543 |
66.342 |
1.66* |
Educational Attainment |
2.72 |
3.102 |
2.744 |
2.36* |
Occupational Attainment |
45.2 |
48.898 |
45.966 |
1.76* |
* p < .05, one tailed
| Table 3. Reduced Form and
Structural Equations for Educational and Occupational Attainment |
Independent Variables |
Educational
Attainment Scale (OLS Regression) |
High School
Drop-Out (Logistic Regression) |
University
Attendance (Logistic Regression) |
Occupational
Attainment
(OLS Regression) |
| |
(1) |
(2) |
(1) |
(2) |
(1) |
(2) |
(1) |
(2) |
Age |
-.01 (.03) |
.01 (.03) |
-.05 (.08) |
.15 (.09) |
-.02 (.07) |
.01 (.07) |
.01(.34) |
.275(.29) |
Gender |
.01 (.09) |
.25 (.09)* |
.00 (.25)* |
-.32 (.30) |
-.08 (.20) |
.68 (.26)* |
.57(1.09) |
.05(1.04) |
English Second Language |
.39 (.17)* |
.18 (.15) |
-.43 (.55) |
-.03 (.58) |
1.08 (.36)* |
.92 (.41)* |
3.08(1.98) |
.122(1.69) |
Pre-School Immigration |
-.32 (.18)* |
-.23 (.17) |
.26 (.49) |
.22 (.52) |
-.90 (.48)* |
-.74 (.53) |
-5.59(2.27)* |
-3.62(1.93) |
Primary School Immigration |
.11 (.16) |
.09 (14) |
-.53 (.52) |
-.49 (.54) |
.09 (.34) |
-.01 (.39) |
.75(1.85) |
.142(1.56) |
Secondary School Immigration |
.10 (.20) |
-.04 (.18) |
-.38 (.65) |
-.05 (.69) |
.13 (.43) |
-.02 (.47) |
3.44(2.37) |
3.14(2.01) |
Fathers Status |
.02 (.01)* |
.01 (.00)* |
-.03 (.01)* |
-.02 (.01) |
.03 (.01)* |
.03 (.01) |
.150(.05)* |
.07(.04) |
Mothers Status |
-.01 (.01) |
-.01 (.01) |
.02 (.02) |
.02 (.02) |
-.00 (.01) |
-.00 (.02) |
-.00(.07) |
-.00(.06) |
Relational Ties to Parents |
|
.06 (.03)* |
|
-.07 (.11) |
|
.18 (.10)* |
|
.589(.39) |
Parental Supervision |
|
.01 (.02) |
|
.00 (.06) |
|
.04 (.05) |
|
-.183(.20) |
Self-Reported Delinquency |
|
-.00 (.01) |
|
-.04 (.04) |
|
-.04 (.04) |
|
.158(.16) |
Attachment to School |
|
.11 (.04)* |
|
-.19 (.13) |
|
.29 (.12)* |
|
.37(.48) |
Effort at School |
|
.17 (.03)* |
|
-.38 (.10)* |
|
.26 (.07)* |
|
.81(.29)* |
Math Grades |
|
.01 (.00)* |
|
-.04 (.04)* |
|
.046 (.01)* |
|
.176(.05)* |
English Grades |
|
.01 (.00) |
|
-.01 (.01) |
|
.025 (.009)* |
|
.002(.04) |
University Attendance |
|
|
|
|
|
|
|
10.36(1.10)* |
Constant |
2.37 |
-0.231 |
|
5.91 |
|
-10.49 |
38.201 |
17.752 |
R2 / -2 log likelihood |
0.05 |
0.24 |
|
399.08 |
|
508.17 |
.05 |
.35 |
* p < .05, one tailed
Note: Numbers in parentheses are standard errors
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