Book contents
- Higher Education Admissions Practices
- Educational and Psychological Testing in a Global Context
- Higher Education Admissions Practices
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Series Editor’s Foreword
- Foreword
- Acknowledgments
- Part I Global Challenges and Common Admissions Models
- Chapter 1 An Overview of Higher Education Admissions Processes
- Chapter 2 Comparing College Aspirations across PISA Countries: Are 17 Percent Oranges Less than 75 Percent Apples?
- Chapter 3 Merit-Based Admissions in Higher Education
- Chapter 4 The Open Admissions Model: An Example from the United States
- Chapter 5 Character-Based Admissions Criteria in the United States and in Europe: Rationale, Evidence, and Some Critical Remarks
- Chapter 6 Cross-Cultural and Global Competencies and Their Role in Admissions Policies and Practices
- Part II Country-Specific Admissions Practices
- Part III Assessments Used in Higher Education Admissions
- Part IV Rethinking Higher Education Admissions
- Index
- References
Chapter 2 - Comparing College Aspirations across PISA Countries: Are 17 Percent Oranges Less than 75 Percent Apples?
from Part I - Global Challenges and Common Admissions Models
Published online by Cambridge University Press: 09 January 2020
Book contents
- Higher Education Admissions Practices
- Educational and Psychological Testing in a Global Context
- Higher Education Admissions Practices
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Series Editor’s Foreword
- Foreword
- Acknowledgments
- Part I Global Challenges and Common Admissions Models
- Chapter 1 An Overview of Higher Education Admissions Processes
- Chapter 2 Comparing College Aspirations across PISA Countries: Are 17 Percent Oranges Less than 75 Percent Apples?
- Chapter 3 Merit-Based Admissions in Higher Education
- Chapter 4 The Open Admissions Model: An Example from the United States
- Chapter 5 Character-Based Admissions Criteria in the United States and in Europe: Rationale, Evidence, and Some Critical Remarks
- Chapter 6 Cross-Cultural and Global Competencies and Their Role in Admissions Policies and Practices
- Part II Country-Specific Admissions Practices
- Part III Assessments Used in Higher Education Admissions
- Part IV Rethinking Higher Education Admissions
- Index
- References
Summary
The Programme for International Student Assessment (PISA), conducted by OECD, produces every three years a very comprehensive database on the skills of 15-year-old students from a large number of countries in mathematics, reading, and science. In addition to the data on skills, PISA also collects data on student background, interests, and aspirations. Students are also asked about their expected highest level of education. In social media and in reports, OECD distributes country averages of educational expectations, a data summary that is critically evaluated in this chapter.
- Type
- Chapter
- Information
- Higher Education Admissions PracticesAn International Perspective, pp. 18 - 33Publisher: Cambridge University PressPrint publication year: 2020
References
Albæk, K. (2018). Skill-persistence and the impact of post-compulsory education on skills – evidence from a linked PISA-PIAAC data set. Paper presented at the Nordic PIAAC Expert Seminar, Stockholm, Sweden. Retrieved from http://folk.ntnu.no/mariahar/Workshop/2017/Papers/albaek.pdf.Google Scholar
Barclay-McKeown, S., & Oliveri, M. E. (2017). Exploratory analysis of differential item functioning in the National Survey of Student Engagement and of its possible sources (ETS RM-17-07). Princeton, NJ: Educational Testing Service. Retrieved from www.ets.org/Media/Research/pdf/RM-17-07.pdf.Google Scholar
Boucher, H. (2010). Understanding Western–East Asian differences and similarities in self‐enhancement. Social and Personality Psychology Compass, 4, 304–317. https://doi.org/10.1111/j.1751-9004.2010.00266.x.Google Scholar
Dorans, N. J. (2017) Contributions to the quantitative assessment of item, test and score fairness. In Bennett, R. E. & von Davier, M. (Eds.). Advancing human assessment: The methodological, psychological and policy contributions of ETS. (pp. 201–230). New York: Springer. https://doi.org/10.1007/978-3-319-58689-2_7.Google Scholar
Duarte, J. L., Crawford, J. T., Stern, C., Haidt, J., Jussim, L., & Tetlock, P. E. (2015). Political diversity will improve social psychological science 1. Behavioral and Brain Sciences, 38, E130. https://doi.org/10.1017/S0140525X14000430.Google Scholar
Fischbach, A., Keller, U., Preckel, F., & Brunner, M. (2013). PISA proficiency scores predict educational outcomes. Learning and Individual Differences, 24, 63–72. https://doi.org/10.1016/j.lindif.2012.10.012.Google Scholar
He, J., & van de Vijver, F. J. (2013). Methodological issues in cross-cultural studies in educational psychology. In Liem, G. A. D. & Bernardo, A. B. I. (Eds.). Advancing cross-cultural perspectives on educational psychology: A festschrift for Dennis M. McInerney. (pp. 39–55). Charlotte, NC: IAP Information Age Publishing.Google Scholar
Jerrim, J. (2014). The unrealistic educational expectations of high school pupils: Is America exceptional? Sociological Quarterly, 55, 196–231. https://doi.org/10.1111/tsq.12049.Google Scholar
Khorramdel, L., & von Davier, M. (2014). Measuring response styles across the Big Five: A multiscale extension of an approach using multinomial processing trees. Multivariate Behavioral Research, 49, 161–177. https://doi.org/10.1080/00273171.2013.866536.Google Scholar
Knighton, T., & Bussière, P. (2006). Educational outcomes at age 19 associated with reading ability at age 15. Ottawa: Statistics Canada.Google Scholar
Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How difficulties in recognizing one’s own incompetence lead to inflated self-assessments. Journal of Personality and Social Psychology, 77, 1121–1134. https://doi.org/10.1037/0022-3514.77.6.1121.Google Scholar
Marsh, H. (1994). Sport motivation orientations: Beware of jingle-jangle fallacies. Journal of Sport & Exercise Psychology, 16, 365–380. https://doi.org/10.1123/jsep.16.4.365.Google Scholar
Organisation for Economic Co-operation and Development. (2017). PISA 2015 results: Students’ well-being (Vol. 3). Paris: Organisation for Economic Co-operation and Development. www.oecd-ilibrary.org/education/pisa-2015-results-volume-iii_9789264273856-en.Google Scholar
Pew Research Center. (2016). The state of American jobs: How the shifting economic landscape is reshaping work and society and affecting the way people think about the skills and training they need to get ahead. Retrieved from http://assets.pewresearch.org/wp-content/uploads/sites/3/2016/10/ST_2016.10.06_Future-of-Work_FINAL4.pdf.Google Scholar
Rose, S. J. (2017). How many workers with a bachelor’s degree are overqualified for their jobs? Washington, DC: Urban Institute Income and Benefits Policy Center.Google Scholar
Schneider, B. L., & Stevenson, D. (2000). The ambitious generation: America’s teenagers, motivated but directionless. New Haven, CT: Yale University Press.Google Scholar
Tetlock, P. E. (1994). Political psychology or politicized psychology: Is the road to scientific hell paved with good moral intentions? Political Psychology, 509–529. https://doi.org/10.2307/3791569.Google Scholar
United Nations Educational, Scientific and Cultural Organization. (2012). International standard classification of education (ISCED) 2011. Retrieved from http://uis.unesco.org/en/topic/international-standard-classification-education-isced.Google Scholar
von Davier, M. (2017). CTT and No-DIF and ? = (Almost) Rasch Model. In Rosén, M., Hansen, K. Y., & Wolff, U. (Eds.). Cognitive abilities and educational outcomes. (pp. 249–272). New York: Springer.Google Scholar