Relationships between demographic factors and employment prospects of architecture, construction and urban planning graduates

Poon, J (2017) Relationships between demographic factors and employment prospects of architecture, construction and urban planning graduates. International Journal of Construction Education and Research, 13(2), pp. 83-19. ISSN 1557-8771

Abstract

This article investigates the relationships between demographic factors and the employment prospects of architecture, construction and urban planning students. Dimensionality reduction was used to produce the dataset for the further analysis in this article from the raw data of Australian Graduate Survey (AGS). Descriptive analysis, chi-squared contingency two-way analysis and phi-coefficient test were used to analyse the data. The research findings indicated that architecture graduates had the lowest level of graduate employment at 84.66%, whereas construction graduates had the highest level at 92.27%. Gender, age, and education level did not show a statistically significant correlation with whether the graduates are able to secure employment after graduation. On the other hand, whether English is spoken at home did present a statistically significant correlation with whether graduates secured employment or not after graduation. Demographic factors showed a statistically significant correlation with whether graduates were able to secure full-time or part-time employment. Architecture graduates who were male, age 24 years or above, studied a postgraduate degree and spoke English at home were found to be more likely to be employed on a full-time basis after graduation. Age, gender, and whether English is spoken at home did not correlate with whether construction and urban planning graduates were employed full-time.;  This article investigates the relationships between demographic factors and the employment prospects of architecture, construction and urban planning students. Dimensionality reduction was used to produce the dataset for the further analysis in this article from the raw data of Australian Graduate Survey (AGS). Descriptive analysis, chi-squared contingency two-way analysis and phi-coefficient test were used to analyse the data. The research findings indicated that architecture graduates had the lowest level of graduate employment at 84.66%, whereas construction graduates had the highest level at 92.27%. Gender, age, and education level did not show a statistically significant correlation with whether the graduates are able to secure employment after graduation. On the other hand, whether English is spoken at home did present a statistically significant correlation with whether graduates secured employment or not after graduation. Demographic factors showed a statistically significant correlation with whether graduates were able to secure full-time or part-time employment. Architecture graduates who were male, age 24 years or above, studied a postgraduate degree and spoke English at home were found to be more likely to be employed on a full-time basis after graduation. Age, gender, and whether English is spoken at home did not correlate with whether construction and urban planning graduates were employed full-time.;

Item Type: Article
Uncontrolled Keywords: demographic factors; construction; urban planning; architecture; australian graduate survey; employment prospects; employment
Index terms: dataset, urban planning, survey, employment, postgraduate, demographic factor
Subjects: demography, data collection methods, urban planning, higher education, data management, management
Topics: Digital Applications, Research Practice, Urban Studies, Governance, Education, Human Resources
Descriptive scope: 4 PCTE

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here