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I know of no Medicine fit to diminish the violent natural Inclinations you mention; and if I did, I think I should not communicate it to you. Marriage is the proper Remedy. It is the most natural State of Man, and therefore the State in which you are most likely to find solid Happiness. Your Reasons against entering into it at present, appear to me not well-founded.

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Please " " to request a format other than those available. Related changes in the economy, including shifts to globalized markets and an emphasis on innovation and technology, all mean that education is more and more an integral component of economic and social well-being.

At the same time, women in Canada have become increasingly well-educated and today represent a larger share of the labour market than they have ever represented ly. However, women continue to have fewer apprenticeship or trades certificates as well as STEM university degrees than their male counterparts.

Women have sustained a long-term trend toward higher education by increasingly completing postsecondary qualifications Chart 1a.

Note 1. While the proportion of those without formal education credentials declined considerably for both women and men, there was a different pattern by sex. Women aged 25 to 64 were more likely to continue on to postsecondary education, particularly college and university, while a higher proportion of men completed a high school diploma or a trades certificate as their highest level of education. Analysis in the section examined the proportion of all of the women who had ever completed a trades certificate including an apprenticeship certificate as their highest level of education.

This measure gives a good indication of the stock of women with a trades certificate, but only presents the proportion of women with a trades certificate as their highest level of education.

Women who have both a trades certificate as well as a higher credential are categorized under their highest credential completed; for example a college diploma or university certificate or degree. Another approach would be to use the Registered Apprenticeship Information System RAISwhich looks specifically at apprentices and reports on the s of new apprentices who register and complete their certification in a given year by major trade group. Note 7. In the period between andthe of new apprenticeship registrations increased threefold, while the growth in female apprenticeship was larger; increasing by 6.

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Although the proportions tended to remain low, women also ed for a larger proportion of new registrations in trades that traditionally had high concentrations of men such as welding 7. The analysis looked at the educational qualifications of the population aged 25 to 64 based on data from the Labour Force Survey, which gives a sense of the educational attainment of the overall working aged population irrespective of whether or not they are in a recent graduating cohort.

Examining recent enrolments and graduations from public educational institutions in Canada provides a profile of potential new entrants to the labour market. The National Household Survey NHS collected information on the location of study province, territory or country of the highest postsecondary credential obtained.

This analysis of young women who have recently graduated from their postsecondary program is useful to examine the mobility patterns by level of education and also to get an indication of the proportion of graduates who continue to live in the same province as where they completed their credential. These patterns were similar among young male graduates. Note 14 The most common locations of study outside Canada among immigrant women with a university degree were the Philippines 9.

The locations of study were similar among men, however, a larger proportion of female immigrants completed their degree in the Philippines than among their male counterparts. Examining the skills of girls of high school age, particularly in mathematics is important as these early skills may be related to choosing a STEM program at university. Every three years, as part of the Programme for International Student Assessment PISAcountries across the OECD Organization for Economic Cooperation Mature women having sex with younger women Development administer a standardized test to 15 year olds to assess how they apply their knowledge and skills in reading, mathematics and science.

Each PISA cycle assesses skills in all three areas but has a principal focus in one area. The focus for PISA was on mathematics. of the PISA Table 1 show that Canadian students scored relatively highly in science, with only seven participating countries having a higher average score. In Canada, and among all provinces, there was no ificant Note 15 difference in science scores between girls and boys However, similar to Canadian PISA and to most other OECD countries, ingirls continued to score ificantly higher in reading Note 16 than boys versus respectively, Table 2.

Note 17 The difference in reading scores favouring girls was 35 points, comparable to the average difference between the sexes across all OECD countries 38 points. The gap in average scores between girls and boys has remained relatively stable over time.

In PISACanada opted to include a digital-based reading assessment to a sample of students in addition to the standard paper-based reading assessment. The computer-based tool assessed different skills than the paper version such as searching for information in a simulated online environment. PISA noted the pervasiveness and importance of computers in all aspects of home and work life as well as its role as a learning tool as a reason for conducting a computer-based assessment. Note Girls performed equally well in reading on each of the assessment modes, scoring ificantly higher than boys in both Table 3.

However, boys had better in digital reading compared with print, narrowing the gap between the sexes. The gap in reading scores favouring girls was 21 points for the digital assessment compared with 35 points for the print assessment. Provincially, the gap between scores of girls and boys in digital reading ranged from 14 points in British Columbia to 32 points in Newfoundland and Labrador. In the print reading assessment, the smallest gap was 26 in British Columbia and the largest gap was 53 in Newfoundland and Labrador.

The assessment in mathematics show that Canadian students at age 15 had relatively high levels of achievement inwith a mean score ofwhich is 24 points above the OECD average. Note 20 Over the past nine years, the Canadian scores in mathematics have declined in all provinces except Quebec and Saskatchewan where the decreases were not statistically ificant.

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Note 21 However, similar to PISA and to most other participating countries, boys scored ificantly higher in mathematics compared with girls Table 4. Despite the gap in scores, the provinces with the highest mathematics scores among girls were in these same provinces. Boys in these provinces also had very high scores. Scores from PISA were divided into 6 levels which were used to determine mathematical proficiency.

However, level 2 is considered the baseline level of mathematical proficiency that is required to participate fully in modern society. In this report, performing below level 2 in the PISA mathematics assessment corresponds to low achievement, whereas performing at level 5 or above corresponds to high achievement.

The gap in overall mathematics scores between girls and boys was not explained by a larger proportion of girls in the lower range of mathematical proficiency. However, a ificantly greater proportion of boys scored in the upper range of mathematical proficiency levels 5 or 6. For the first time, in PISACanada included a computer-based mathematics assessment tool in addition to the digital reading assessment.

Similar to the digital reading assessment, the computer-based tool assessed additional skills to the paper version such as selecting certain information from a dataset and sorting on the relevant variables. The impact on scores of the computer-based mathematics assessment was similar to the digital reading option in that girls scored equally well between modes for computer-based math versus for paper-based mathwhile boys had higher scores on the computer-based assessment on the computer-based mathematics assessment versus on paper-based math Note 25 Table 5.

The result of the higher scores for boys on the computer-based math assessment was that the difference between girls and boys was larger 17 for computer-based math versus 10 for paper-based math. With the pervasiveness of technology and the transformation to a screen-based learning environment, it will be important to continue to track these trends. The gap in mathematics scores between girls and boys is well documented and has been historically consistent, but how is this related to program choice at university?

The study showed that men were twice as likely to pursue STEM science, technology, engineering and mathematics fields at university as women.

Note 26 While women were less likely to pursue STEM programs as their first choice at university, those who did choose STEM programs had high mathematics PISA scores compared with the average for women in any field or women who chose health programs In comparison, the average mathematics PISA score among men who chose STEM programs at university was ; higher than among men overall and among men who chose health at university.

There was no ificant difference in the average math scores of women and men who chose STEM programs, however the average scores for men in any field were higher than women in any field. Controlling for factors that could influence program choice including immigration status, parental influence variables, and reading scores to examine the relationship between math ability and STEM program choice revealed that men with high math scores were most likely to choose a STEM program by a margin of 22 percentage points over women with equally high scores.

The key finding of the study was that even young women with a higher level of mathematical ability, defined as mathematics proficiency levels 4, 5 and 6 at age 15were less likely to pursue STEM fields at university than young men with a lower level of mathematical ability proficiency levels 1, 2 and 3.

When self-perceived ability and high school marks in mathematics Note 27 were controlled for, among young women and men with equally high math PISA scores, the gap between women and Mature women having sex with younger women in the likelihood of choosing a STEM university program was reduced from 22 to 18 percentage points. The in this study indicate that self-perceived math ability plays a role in discouraging girls from choosing STEM fields at university.

There could be other societal factors at play such as the culture surrounding the study of mathematics and the author noted that the literature points to the potential importance of subject matter interests and occupational preferences. This section highlights important issues related to education among adult women in Canada, beginning with skills that are important for success along the education and career pipeline.

Research has shown that literacy and numeracy are associated with higher levels of education and better labour market outcomes. Consistent with from PIAAC assessments, sex was shown to be associated with literacy among those in older age groups and across all ages for numeracy.

Literacy proficiency scores for both women and men were lower for the older population compared with their younger counterparts Table 6. There were no ificant Note 30 differences in average literacy proficiency scores among women and men except among those aged 55 to 65, where men scored 6 points higher than same-aged women.

The mean proficiency score in numeracy of Canadian adults was compared with the mean proficiency score of among OECD countries. In Canada, unlike literacy scores, numeracy scores of women were lower than those of men in every age cohort. The gap in numeracy scores between women and men aged 16 to 24 was 9 points but was higher at Scores from PIAAC were divided into 5 levels which were used to determine proficiency in the given skill.

There is a relationship between education, employment and skills proficiency. Note 34 However, the proportion of women with a university degree with a proficiency level of 4 or 5 was lower than among their male counterparts. The education and career trajectory among women can be impacted at different points in life as women fulfill family commitments associated with marriage and children.

Note 38 The next three sections examine young women who are not working or in school - often out of the labour force with children, educational attainment among female lone parents, and the impact of student debt on family formation. Since the recent economic downturn inincreased attention has been paid to the economic prospects of young people.

The proportion of young people aged 15 to 29 who are neither working nor attending school is referred to as the NEET population. Young people who are NEET are at risk of becoming socially excluded, being in low income and may encounter barriers to improving their economic situation.

The NEET population can be either unemployed available for work or out of the labour force not available for work for various reasons such as illness or caring for children. research examining NEET youth, has shown that women who were married with children were ificantly more likely to be out of the labour force, while men who were married with children were ificantly less likely to be out of the labour force. It may be that many young NEET mothers are out of the labour force to provide care for their children. Note 45 Female lone parents have different educational outcomes than female parents who are part of couples, and face economic challenges such as a greater prevalence of low income.

Note 46 The proportion of women in both types of families with no formal credentials has decreased dramatically Table 9. The proportion of women with a university degree in both types of families has increased over time, however at a slower pace for female lone parents. The gap in education levels between female lone parents and female parents in couples may be partly explained by the tendency for female lone parents to have had their children at a younger age.