Introduction
Education and training have always been viewed as primary instruments for determining the labour market outcomes of youth, especially for the successful transition of youth from high school into the world of work. Further education meant an assured means of improving employability in terms of obtaining and retaining employment, increasing the range of employment opportunities, providing access to higher salaries, and assisting the worker to become more adaptable to occupational and industrial changes (Sharpe & Spain, 1991). While many youth make a decision to seek full-time employment prior to completing school, they generally encounter more difficulty in finding employment or in obtaining other than part-time, menial, low-paying, and cyclical jobs (Samuelson, 1988). The best chance any young person has of obtaining full-time, better-paying, and more meaningful work is to stay in high school until graduation and to continue on to post-secondary education afterwards (Ashton, 1988; Khran & Lowe, 1989). This participation imperative is being made all the more urgent in the new industrialism with its growing demands for sophisticated and highly technical work skills.
In Canada, however, and especially in Newfoundland, participation in post-secondary education has been historically low in absolute terms. For example, in 1990-91, the combined national rate for university and public college participation among 18-24 year olds in Canada was 23.0%. The comparable rate
Province |
71-723 |
72-744 |
74-76 |
76-78 |
78-80 |
80-82 |
82-84 |
84-86 |
86-88 |
88-90 |
90-91 |
NF
PE
NS
NB
PQ
ON
MB
SK
AB
BC |
9.5
15.9
16.4
14.6
13.9
16.5
14.3
14.3
15.7
13.0 |
8.5
14.1
15.5
12.5
15.4
16.8
13.9
12.8
15.2
11.8 |
7.3
13.5
15.9
12.0
16.0
17.3
13.8
12.3
15.1
12.5 |
7.5
13.4
16.1
11.8
16.3
17.2
13.3
12.0
14.2
11.9 |
7.3
12.1
15.2
11.5
16.7
16.8
11.9
11.0
12.2
11.1 |
8.6
12.5
15.7
12.4
17.3
18.1
12.6
11.3
11.3
11.0 |
11.0
14.3
17.8
14.4
20.3
19.9
14.2
13.1
12.6
12.5 |
14.0
14.5
18.9
15.8
23.7
20.6
14.2
14.0
14.8
13.3 |
15.9
15.8
19.5
16.8
25.3
21.4
14.1
15.1
16.4
14.3 |
17.2
17.6
21.7
18.2
26.9
22.7
14.8
16.1
18.3
15.4 |
18.7
20.0
23.4
19.7
28.6
24.4
15.6
17.8
19.2
16.0 |
Source: Human Resources Development Canada, 1994
1 Public colleges and universities (undergraduates).
2 Participation by 18-24 year-olds as a percentage of the general population, 18-24 years old.
3 Actual percentages are shown for 1971-72 and 1990-91.
4 Percentages are averaged over intervals of two academic years from 1972-73 to 1989-90
for Newfoundland was 18.7% (Table 1). While the gap between the rates has narrowed since 1971-72, the Newfoundland rate was only slightly closer to the national rate 20 years later despite increasing by 97% from its baseline rate of two decades earlier.
In spite of concern expressed in the province over the years about our low post-secondary participation rates (Crocker & Riggs, 1980; Royal Commission on Employment and Unemployment, 1986), participation in higher education has not been extensively studied in Newfoundland. Several Masters level theses were completed in the past two decades or so on such issues as educational plans of youth, career decision-making, knowledge of post-secondary institutions, and dropouts (Baker, 1978; Burry, 1975; Coffin, 1976; Duncan, 1973; May, 1975). Several government- sponsored studies or position papers were also completed (Crocker & Riggs, 1980; Montgomery, 1982; Batten et al., 1974; Kealey, 1986). These research projects reported on ways to improve student retention and post-secondary participation, employment issues related to women in the labour force, and/or equity issues of working women generally. Only one study (Parsons, 1974) specifically devoted attention, albeit in an ancillary way, to the personal and environmental antecedents of post-secondary participation. Because of this general lack of direct research on participation, the current study--on which this paper is based--was a foundational, exploratory one aimed towards increasing our understanding of factors which might influence the decision young people make about continuing their education beyond high school.
Theory and Method
Theory related specifically to post-secondary participation is derived from the general literature on status attainment. A vast sociological literature on status attainment, both educational status and occupational status, exists for many countries. Findings from Canadian studies since the 1970s generally supported the findings of studies conducted in the United States, Australia, and elsewhere, namely, that social origin factors were strong determinants, directly and indirectly, of both access to and the attainment of higher education.
The conceptual model typically used in this kind of research assesses an idiosyncratic selection of social and psychological influences on the level of education that subjects under study have attained. These influences are derived from the social and economic status of the subjects parents or are attributed to achievement characteristics which the subjects have acquired through personal effort. The overwhelming use in the literature of this status attainment model prompted its adoption in the study cited in this paper. The model (Figure 1) follows the conventions established by Blau and Duncan (1967), Sewell & Shah (1967), and others with the exception that a socioeconomic variable, common to other status attainment research, was not specifically included. However, several of the background variables, e.g., well-being, career plans, value of education, family size, and advanced mathematics, can be regarded as socioeconomic variables.
The model assumes that personal status variables, selected family status variables, school resource variables, and community context variables are all exogenous variables. It also assumes that academic achievement, high school graduation, vocational self-concept, the influence of significant others, and barriers are all intervening variables that mediate the effects of the exogenous variables on the criterion variable--participation in post-secondary education. In quantitative terms, the model is a series of structural equations in which the parameters of the variables are estimated from correlational matrices or partial regression coefficients. It is additive in nature in that the effects of the exogenous and endogenous variables combine directly and indirectly to affect the probability that a young person will participate in post-secondary education (see Hayden & Carpenter, 1990).
The design of the research flowed from the conceptual framework. The independent and dependent variables were selected following a review of the youth transition and status attainment literatures and from a pilot study and series of interviews undertaken as a preliminary to the main study (McGrath, 1993). Quantitative data for the study were obtained from a longitudinal study that began in Newfoundland in 1989 (Sharpe & Spain, 1991). Qualitative data were from interviews conducted in the province with former students, guidance counsellors, principals, and district superintendents from the K-12 system, and with public college presidents, Memorial University faculty, and senior provincial government officials responsible for post-secondary education. Other information was obtained from federal and provincial public documents and from the public examination database at the Newfoundland Department of Education. The data were organized and analysed using factor analysis, multiple regression, and path analysis. Separate analyses were conducted for males and females.
Findings
Both the correlational and regression analyses revealed that six of the 17 independent variables were consistently most highly related to Post-secondary Participation. In descending order, they were Academic Achievement, Barriers, Value of Education, Advanced Mathematics, Academic Attainment and Well-being.
Their correlation coefficients were comparable in all three matrices, i. e., the model for males, the model for females, and the total group model. In the regression analysis, the order of the effects of the six variables was generally consistent in all three models and the relative size of the effect of each variable on Participation was generally comparable across the three models (Table 2). While these relationships were statistically significant at the .01 level throughout (an artifact doubtlessly of the large sample size; N=5,420), they were weak in real terms and suggested that major shifts would have to occur in the effects of the independent variables for a movement from non-participation to participation to take place.
A profile of the most likely participant in post-secondary education in Newfoundland emerged, albeit opaquely, from the regression analysis for the integrated model. The participant could be either a male or female from a small family in any community--rural or urban--in the most populous region of the province (Region 1, the Avalon Peninsula). He or she would have graduated from high school with a high average in the provincial public examinations, and would likely have taken advanced mathematics in high school as well as attended a
Independent Variables |
Participation |
|||||
Male Model |
Female Model |
Integrated Model |
||||
b |
β |
b |
β |
b |
β |
|
Gender |
n/a |
n/a |
.045 |
.048 |
||
R_u |
.020 |
.020 |
.046 |
.050 |
.035 |
.037 |
Reg 2 |
.046 |
.031 |
.035 |
.026 |
.040 |
.028 |
Reg 3 |
-.057 |
-.054 |
-.042 |
-.042 |
-.048 |
-.047 |
Reg 4 |
-.057 |
-.044 |
-.022 |
-.018 |
-.039 |
-.031 |
Reg 5 |
-.006 |
-.003 |
.031 |
.014 |
.009 |
.004 |
Plans |
.013 |
.031 |
.032 |
.062 |
.021 |
.044 |
Famsize |
-.011 |
-.044 |
-.010 |
-.049 |
-.010 |
-.047 |
Attach |
-.017 |
-.032 |
-.005 |
-.011 |
-.011 |
-.022 |
Valued |
.059 |
.129 |
.061 |
.127 |
.060 |
.128 |
Guidance |
.051 |
.022 |
.047 |
.024 |
.061 |
.029 |
Careinfo |
.029 |
.060 |
.031 |
.069 |
.031 |
.067 |
Advmath |
.107 |
.086 |
.070 |
.060 |
.087 |
.071 |
Wellbe |
.032 |
.067 |
.045 |
.093 |
.038 |
.079 |
Lstyle |
.014 |
.029 |
.007 |
.016 |
.010 |
.021 |
Avg. |
.006 |
.163 |
.006 |
.178 |
.006 |
.170 |
Hsgrd |
.130 |
.074 |
.224 |
.109 |
.170 |
.090 |
Vocself |
.005 |
.010 |
.009 |
.019 |
.007 |
.016 |
Sigoths |
.015 |
.020 |
.016 |
.022 |
.016 |
.021 |
Barriers |
-.089 |
-.183 |
-.070 |
-.145 |
-.080 |
-.165 |
R2 = .2152 (Male Model)
R2 = .2233 (Female Model)
R2 = .2246 (Integrated Model)
school where career information services were
available. The person
may not have formulated a career plan but would possess a high sense of
well-being.
Path analysis was utilized to determine whether any
of the
independent exogenous variables influenced post-secondary participation indirectly as a result of the influences of the intervening variables. Indirect effects showed if the influences
were mediated or transmitted through the intervening variables. For example, attachment to home and community was not statistically significant as a determinant of participation in the extended integrated model. But, in both the male and female reduced
models, attachment was statistically significant as a barrier to post-secondary participation with about equal effects on males and females (see Table 2). The object of examining the indirect effects and the direct effects of the attachment variable in a
path model was to determine if the total effect was a predictor of or a detractor to participation. It was hypothesized that attachment was a factor in participation as a form of barrier which prevented young people from otherwise enroling in
post-secondary education. Other independent exogenous variables were also
examined for direct effects.
Table 3 shows the estimated direct effects, indirect effects and total effects for each of the background variables. A t-value was calculated for total effect only. All values found to be statistically significant at the .05 level included gender , value of education, rural/urban, regions 3 and 4, career plans, family size, career information, attachment, advanced mathematics, well-being and learning style. Standardized regression coefficients (β) for independent variables that were
Outcome Variable |
Independent Variables |
Correlation (r) |
Direct Effect |
Indirect Effect |
Total Effect |
t-Value |
Participation |
Gender |
.097 |
.048 |
.022 |
.070 |
3.823 |
R_U |
.099 |
.037 |
.008 |
.045 |
2.438 |
|
Reg2 |
.022 |
.028 |
-.007 |
.022 |
1.166 |
|
Reg3 |
-.079 |
-.047 |
.007 |
-.039 |
-2.133 |
|
Reg4 |
-.033 |
-.031 |
-.016 |
-.047 |
-2.569 |
|
Reg5 |
.006 |
.004 |
.008 |
-.004 |
-0.233 |
|
Plans |
.130 |
.044 |
.016 |
.060 |
3.261 |
|
Famsize |
-.123 |
-.047 |
-.013 |
-.061 |
-3.288 |
|
Attach |
-.071 |
-.022 |
-.027 |
-.048 |
-2.634 |
|
Valued |
.286 |
.128 |
.079 |
.208 |
11.525 |
|
Guidance |
.001 |
.028 |
-.004 |
.025 |
1.330 |
|
Careinfo |
.113 |
.067 |
.019 |
.086 |
4.694 |
|
Advmath |
.226 |
.071 |
.073 |
.145 |
7.933 |
|
Wellbe |
.153 |
.079 |
.021 |
.100 |
5.435 |
|
Lstyle |
.065 |
.019 |
.019 |
.040 |
2.161 |
Multiple R = .4739
R2 = .2246
Note: The t-values are given for the total effect only. A t-value equal to or greater than 2.00 is statistically significant at the .05 level.
shown in the extended integrated model analysed above
to be
statistically significant with participation were generally enhanced through the effects of indirect analysis. That is, the size of the total effects in nearly all cases was bigger than the
for direct effects indicating support for the general hypothesis that the
exogenous variables were mediated by the intervening
variables.
For some variables--attachment, value of education, and advanced mathematics--the total effects were substantially higher, relatively, than the direct effects. In the regression equation for the extended integrated model, the standardized coefficient (direct effect) for attachment, for example, was not statistically significant with participation. Through the mediating effects of the intervening variables, however, the β for total effect of the attachment variable was rendered statistically significant at the .05 level. The magnitude of the attachment-participation relationship was made twice as strong by the addition of the indirect effects. Similarly, the magnitude of the advanced mathematics- participation relationship doubled through the addition of indirect effects. In addition to attachment, three other variables changed status in terms of statistical significance through the total effects analysis, namely, region 2 , guidance, and learning style (see Table 3).
Findings from the series of interviews with youth,
principals, and
guidance counsellors in the K-12 education system, with principals and senior officials from the post-secondary system, and with staff from the Department of Education complemented
the quantitative results from the survey data. Results from the interviews gave added weight to the influences of the variables found in the regression analyses to have statistically significant effects on post-secondary participation. For example, the
importance of advanced mathematics to participation was confirmed by the principals and guidance counsellors, all of whom also said it was important for parents to have a high value for education because a positive attitude largely determined whether
parents encouraged their children to attend university or one of the public colleges. And the nature of the barriers to participation that were identified in the regression analyses was similar to the kinds of barriers the stakeholders identified; the ma
in
impediments in their view being lack of money, meeting academic
prerequisites, inadequate access to programs, negative family influences,
and an encumbering attachment to home and community.
Conclusions and Implications
Generally, the hypotheses formulated for the study were supported by the findings from the data analyses. The effects of the independent variables on participation, both the background and intervening variables, also generally conformed to the theory reported in the literature.
With reference to the theoretical model, none of the effects of the personal variables was strongly associated with participation in post-secondary education. The effects of well-being were higher than the effects of gender, career plans, and learning style, but not to the extent where it could be generalized that a continuing sense of well-being is predictive of entry into post-secondary education. The extent to which family variables influenced participation was contingent on the value held for education in the home. Family size had little effect, but value of education had the third highest effect on participation of all the independent variables in the study. School variables on average were moderately related to participation. Guidance had a negligible influence and career information and advanced mathematics in the numerical analyses both had small effects. However, the interview results gave much more support to all three variables in the extent to which they were related to participation. Community variables generally had little or no effect on whether residents obtained higher education according to results from the survey data. Results from the interviews, however, indicated that the attachment variable was highly associated with participation for many students from small communities. Post-secondary administrators, principals, counsellors, and even several youth referred to the inhibiting effects on young people of not wanting to leave home. These respondents all regarded community attachment to be a significant influence in detracting young people from participating in post-secondary education.
Generally, the mediating effects of the intervening variables enhanced the effects of the background variables on participation. While the boosting effects were not large in substantive terms, the influence was in the direction hypothesized for them and as theorized in the literature. An ancillary question had been examined in the study as to whether the effects of the background and intervening variables on post-secondary participation differed between males and females. In general, the similarities between males and females were more apparent than the differences in all the analyses. In short, there were no substantial differences between males and females in the effects of the variables on participation.
In summary, the variables found to be most
frequently associated
with participation were academic achievement, barriers, value of education, advanced mathematics, academic attainment, and well-being. These six consistently had the biggest effects
in the various analytical models used in the study. Results from the interviews held with various stakeholders supported the findings from the regression and path analyses and gave added weight to the influences of the variables found to be related to
participation.
Several policy initiatives emanate from the study
that if carried
out would additively contribute to a more complete explanation of the predictive influences on post-secondary participation. For example, three of the variables found to be most
influential, relatively, on participation--academic achievement, advanced mathematics, and academic attainment--are directly manipulable by the K-12 education system. The advanced mathematics variable is more open to policy change than the other two
because
it is a clearly defined part of the curriculum and is less intricate and nebulous than is achievement or attainment. However, in 1992, only a little more than 22% of Grade 12 students in the province were enroled in the third year advanced mathematics
course. While this percentage was double the enrolment six years earlier, it was still quite low considering the course was available in more than 90% of all Newfoundland high schools. A way to begin increasing participation in post-secondary education,
therefore, might be to increase the participation of high school seniors
in the advanced mathematics courses (which could be a consequence of
current high school curricula policy considerations).
The variable, value of education, is less within the control of the school but not outside its sphere of influence. Schools experience varying degrees of contact with parents and they generally know the family situations of their students, even in urban communities. Professional school personnel such as teachers, principals, counsellors, and others have an opportunity to enhance the esteem held for education in families where esteem is known to be low. Information obtained in the interviews clearly disclosed that many educators felt that some parents from their area placed a low value on education. This disregard resulted in children from these families neither completing high school nor continuing with their education if they did graduate. But, the anomaly also exists where the reverse is true in that youth from @ good @ families are known to complete high school, do well academically while there, are encouraged if not implored by their parents to continue their education, and have brothers or sisters who went into post-secondary education, yet opted not to attend after they, themselves, graduated. Why do such anomalies occur in families where education is demonstrably highly valued? The variable has much research potential but none was found that focused on the issue. Pending the research, the variable= s contribution to educational attainment theory remains unknown.
The barriers variable is similarly within the
sphere of influence
of the schools in terms of their capacity to inform. Both the quantitative and qualitative findings revealed that financial constraint was the main barrier that prevented many
eligible high school graduates from enroling in post-secondary education. Despite recent revisions to it, many students believe that the Canada Student Loan program is inadequate to meet their financial needs, at a time when availability of a loan is
becoming
crucial to high school graduates in their decision to go on to further education. Yet, little research has been undertaken in Newfoundland about the effects of the student loan program on post-secondary participation. While the loan program was never
meant to be other than a supplemental source of funding for students, it has evolved to where it is for many the only source of financing that enables them to enrol in and continue with university or college studies. New phenomena might be emerging,
however, where a reduction in demand for student loans could occur. Many students reported they are hesitating to accumulate large debts to obtain higher education when there is no assurance they will find subsequent employment to repay them. Further,
the
number of students defaulting on their loans, reported in the public media as already high, might increase in the near future which could potentially have serious implications for future loan availability. These factors are in addition to a naturally
occurring reduction in demand as secondary student populations decline further
in the years ahead. The entire student loan program has recently
undergone substantive changes which makes comprehensive research into the
issue both timely and topical if loan accessibility, and thereby post-secondary education accessibility, is to be
enhanced and maintained.
Other barriers such as lack of access to courses and programs, lack of career direction, and insufficient knowledge of occupations and educational options were also identified in the study as important impediments for many youth. Several of the post-secondary administrators said that general information was known about participation in post-secondary education in Newfoundland but that specifics were lacking on many of the pertinent factors believed to affect it. Variables such as guidance, career planning, and career information especially required more research. Some of the basic assumptions underlying present career education curricula may need to be examined. For example, the traditional focus of providing information on careers and educational options are based on the assumption that the more information students have, the better their decision-making capability about post-secondary participation. This assumption may only be partly valid; further theoretical perspectives yet unknown to program developers or which have not been given prominence in the career education literature need to be explored. Emphasis, for example, may need to be placed on the way students process the information that is already available or on their perceptions of the value of such information to their career decision-making.
With a few exceptions, the effects of the study
variables on
participation were in the direction that was expected and were generally similar to the findings of previous research. Further research to substantiate the effects of the variables would
be desirable, but some indicators are already apparent which can generate changes that could lead to greater participation in post-secondary education. It is important that such change be made. The issue of participation in education generally has
become more important in recent years because of the general economic restructuring that has occurred in industrialized countries where traditional sources of work have largely disappeared. There was a time in Newfoundland, for example, when many people
were
self-sufficient with a modest income. Outlets such as fishing, hunting,
gardening, raising a few domestic cattle, wood-cutting, building one
=s own home and carrying out one
=s
own maintenance could substitute for hard currency. Seasonal work in the
Newfoundland construction industry, fishing, forestry, or mining industries,
or in a metropolitan area
on the mainland enabled many people to earn a reasonable living without long-term work. In the last decade, however, high unemployment in these traditional industries, combined with decreasing employment opportunities elsewhere in Canada, has left many
Newfoundlanders, especially youth, without the traditional means of earning a living. The options for employment will be limited even with an education, but the conventional wisdom is that, as youth everywhere in the industrialized world, young people in
Newfoundland will have no chance at all to compete for better-paying jobs without some formal education beyond high school. With severe economic conditions currently facing the province, educational participation is regarded as instrumental in the
government's strategic economic plan that is expected to reshape the provincial economy. Higher education in particular is viewed as an important means of revitalizing the province's labour force and for creating new employment opportunities. If the
theoretical relationship between education and economic development is valid, the sooner a change process can begin that is directed at enhancing present levels of participation in post-secondary education, the quicker could positive results be realized
that would
bring about corresponding desirable changes in the provincial
economy.
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ENDNOTES