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Evaluation model of career counseling program in vocational high school

International Journal of Evaluation and Research in Education (IJERE) · Vol. 8 No. 2 (2019) · pp. 318–329

DOI
10.11591/ijere.v8i2.14986
ISSN
2620-5440, 2252-8822
Published
2019-06-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-nc/4.0

Abstract

ocational high school graduates are expected to readily enter the work field, nevertheless, the number of unemployment from vocational high school graduates is still big. Optimizing a career guidance service requires complete evaluation feedback. In detail, this research aims to: identifying a construct instrument applicable to evaluate a career guidance program at vocational high school; Developing an evaluation model; and Examining the measurement, structure and the effectivity of the model. The research’s approach and development employ Borg & Gall’s Model. The test toward the product is addressed to nine vocational high schools in Yogyakarta. The validity and reliability instruments are verified through expert judgment, alpha Cronbach analysis, Exploratory Factor Analysis (EFA), testing the measurement model, and for the structural model, it is verified by means of partial least square (PLS) SmartPLS 3.0. The product constitutes a career guidance evaluation model at vocational high school, complete with its application, manipulation, and analysis up to recommendation construction. The result of the EFA test shows six measurement factors of counseling service: assertiveness, career readiness, self-awareness, career awareness, work characteristics, and positive attitude towards guidance and counseling service. The quality instrument product of TADIPHE consists of the target component (3 items), assessment (13 items), design (13 items), installation (22 items) process (44 items), the result (70 items), and effectiveness of the program (7 items). The result of the partial least square shows that all predictors contribute (Q2) as much as 88.91%, and 11.09 % and the rest may be determined by other variables.

Keywords

Collaboration network of the authors

40 authors · 100 co-authorship links · 20 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Yogyakarta State University
  • University of Szeged
  • Universiti Putra Malaysia
  • Sebelas Maret University
  • Hasanuddin University
  • Universitas Teknologi Digital Indonesia
  • Indonesia University of Education
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Supahar SupaharYogyakarta State University3
Heri RetnawatiYogyakarta State University3
Soeharto SoehartoUniversity of Szeged3
Widihastuti WidihastutiYogyakarta State University2
Riki PerdanaAffiliation unknown2
Riwayani RiwayaniAffiliation unknown2
Suranto SurantoSebelas Maret University1
Siti Salina MustakimUniversiti Putra Malaysia1
Taufiq Satria MuktiAffiliation unknown1
Muhammad IqbalHasanuddin University1
Siti NurjanahAffiliation unknown1
Saefudin KamalAffiliation unknown1
Samsul HadiYogyakarta State University1
Untung Desy PurnamasariAffiliation unknown1
Pujianto PujiantoUniversitas Teknologi Digital Indonesia1
Wipsar Brams DwandaruAffiliation unknown1
Farida RahayuAffiliation unknown1
Badrun KartowagiranYogyakarta State University1
Hanif Cahyo Adi KistoroAffiliation unknown1
Lukman LukmanIndonesia University of Education1
Himawan PutrantaSunan Kalijaga State Islamic University Yogyakarta1
Marsigit MarsigitYogyakarta State University1
Herminarto SofyanAffiliation unknown1
Ida Nugroho SaputroAffiliation unknown1
Bambang SubaliAffiliation unknown1
Ikhsanudin IkhsanudinAffiliation unknown1
Ika MaryaniUniversitas Ahmad Dahlan1
Mundilarto MundilartoAffiliation unknown1
Eko Setyadi KurniawanAffiliation unknown1
Jumadi JumadiAffiliation unknown1
Nurul HamidahAffiliation unknown1
Wipsar Sunu Brams DwandaruYogyakarta State University1
Aang Zainul AbidinAffiliation unknown1
Nunung FadilahAffiliation unknown1
widayanti widayantiAffiliation unknown1
Haryanto HaryantoAffiliation unknown1
Arini Rosa SinensisAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://ijere.iaescore.com/index.php/IJERE/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Evaluation model of career counseling program in vocational high school</dc:title>
	<dc:creator>Martaningsih, Sri Tutur</dc:creator>
	<dc:creator>Soenarto, Soenarto</dc:creator>
	<dc:creator>Istiyono, Edi</dc:creator>
	<dc:subject xml:lang="en-US">Career counseling; TADIPHE evaluation model; Vocational school</dc:subject>
	<dc:description xml:lang="en-US">ocational high school graduates are expected to readily enter the work field, nevertheless, the number of unemployment from vocational high school graduates is still big. Optimizing a career guidance service requires complete evaluation feedback. In detail, this research aims to: identifying a construct instrument applicable to evaluate a career guidance program at vocational high school; Developing an evaluation model; and Examining the measurement, structure and the effectivity of the model. The research’s approach and development employ Borg &amp;amp; Gall’s Model. The test toward the product is addressed to nine vocational high schools in Yogyakarta. The validity and reliability instruments are verified through expert judgment, alpha Cronbach analysis, Exploratory Factor Analysis (EFA), testing the measurement model, and for the structural model, it is verified by means of partial least square (PLS) SmartPLS 3.0. The product constitutes a career guidance evaluation model at vocational high school, complete with its application, manipulation, and analysis up to recommendation construction. The result of the EFA test shows six measurement factors of counseling service: assertiveness, career readiness, self-awareness, career awareness, work characteristics, and positive attitude towards guidance and counseling service. The quality instrument product of TADIPHE consists of the target component (3 items), assessment (13 items), design (13 items), installation (22 items) process (44 items), the result (70 items), and effectiveness of the program (7 items). The result of the partial least square shows that all predictors contribute (Q2) as much as 88.91%, and 11.09 % and the rest may be determined by other variables.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">Ministry of Research and Technology and  Higher Education</dc:contributor>
	<dc:date>2019-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijere.iaescore.com/index.php/IJERE/article/view/14986</dc:identifier>
	<dc:identifier>10.11591/ijere.v8i2.14986</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 8, No 2: June 2019; 318-329</dc:source>
	<dc:source>2620-5440</dc:source>
	<dc:source>2252-8822</dc:source>
	<dc:source>10.11591/ijere.v8i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/14986/12849</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>