Angela Chow

Dr. Angela Chow


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2015 in Learning and Instruction
Verified
Journal Article
Closed access
MWMing-Te Wang
Ming-Te Wang
ACAngela Chow
Angela Chow
THTara Hofkens
Tara Hofkens
Katariina Salmela-AroKatariina Salmela-Aro
Katariina Salmela-Aro

1 November 2012 in Developmental Psychology
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Journal Article
Closed access
ACAngela Chow
Angela Chow
JEJacquelynne S. Eccles
Jacquelynne S. Eccles
Katariina Salmela-AroKatariina Salmela-Aro
Katariina Salmela-Aro
Two independent studies were conducted to extend previous research by examining the associations between task value priority patterns across school subjects and aspirations toward the physical and information technology- (IT-) related sciences. Study 1 measured task values of a sample of 10th graders in the United States (N = 249) across (a) physics and chemistry, (b) math, and (c) English. Study 2 measured task values of a sample of students in the second year of high school in Finland (N = 351) across (a) math and science, (b) Finnish, and (c) the arts and physical education. In both studies, students were classified into groups according to how they ranked math and science in relation to the other subjects. Regression analyses indicated that task value group membership significantly predicted subsequent aspirations toward physical and IT-related sciences measured 1-2 years later. The task value groups who placed the highest priority on math and science were significantly more likely to aspire to physical and IT-related sciences than were the other groups. These findings provide support for the theoretical assumption regarding the predictive role of intraindividual hierarchical patterns of task values for subsequent preferences and choices suggested by the Eccles [Parsons] (1983) expectancy-value model.

1 December 2013 in Journal of Vocational Behavior
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Journal Article
Closed access
FSFlorencia M. Sortheix
Florencia M. Sortheix
JDJulia Dietrich
Julia Dietrich
ACAngela Chow
Angela Chow
Katariina Salmela-AroKatariina Salmela-Aro
Katariina Salmela-Aro

1 August 2015 in Journal of Vocational Behavior
Verified
Journal Article
Closed access
FSFlorencia M. Sortheix
Florencia M. Sortheix
ACAngela Chow
Angela Chow
Katariina Salmela-AroKatariina Salmela-Aro
Katariina Salmela-Aro

1 December 2016 in Journal of Youth and Adolescence
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Journal Article
Closed access
PDF file
MWMing-Te Wang
Ming-Te Wang
ACAngela Chow
Angela Chow
JDJessica Lauren Degol
Jessica Lauren Degol
JEJacquelynne Sue Eccles
Jacquelynne Sue Eccles

12 May 2011 in International Journal of Behavioral Development
Verified
Journal Article
Closed access
PDF file
ACAngela Chow
Angela Chow
Katariina Salmela-AroKatariina Salmela-Aro
Katariina Salmela-Aro
This study examined what kinds of groups can be identified according to students’ task-values across four subject domains (languages, math and science, social sciences, practical subjects) and the related gender differences using a person-centered approach. Latent class analysis was applied to classify 638 students (mean age = 15) into four task-value groups, namely, all-subjects (55%), practical-subjects (5.7%), high-math-and-science (20.2%) and low-math-and-science (19.1%) groups. Significant gender differences were found: boys dominated the high-math-and-science group (boys = 98%), while girls dominated the low-math-and-science group (girls = 82%). Compared to the low-math-and-science group, the high-math-and-science group reported a stronger tendency in furthering their studies immediately after the completion of compulsory education.