SHS Web Conf.
Volume 42, 2018Global Conference on Teaching, Assessment, and Learning in Education (GC-TALE 2017)
|Number of page(s)||7|
|Published online||29 January 2018|
Vocational Aptitude Test
Universitas Pendidikan Ganesha, Singaraja, Indonesia
2 Universitas Pendidikan Ganesha, Singaraja, Indonesia
3 Universitas Pendidikan Ganesha, Singaraja, Indonesia
* Corresponding author: mailto:firstname.lastname@example.org
Test for measuring vocational aptitude has been formulated and validated. There are three main constructs involved in vocational aptitude test, which are individual characteristics, activities that are likely to be selected, and professions that tend to be idolized. Individual characteristics indicate the individuals talents, whereas the activity that tends to be chosen leads to student interest in the activity, and the intended profession gives clues about the capability of themselves to pursue the profession. Content validity test with Lawse technique yields content validity ratio (CVR) for all items are in the range 0.82-0.94 and content validity index (CVI) = 0.88. The construct validity test yields comparative fit index (CFI) = 0.918 and chi square coefficient (χ2) = 5.85 with significance (p) = 0.002. These findings indicate that the test is valid either by content or construct. Furthermore, the reliability test with Alpha Cronbach found the alpha coefficient (α) = 0.82. Finally, it can be concluded that vocational aptitude test can be utilized for early identification of student vocational aptitude. The hope, the test can help students to choose the appropriate vocational school, in order to obtain the better learning outcomes.
Key words: vocational aptitude test / individual characteristics / activities / professions
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.