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Reviewing of Indonesian students’ scientific communication skills: A structural equation modeling analysis

International Journal of Evaluation and Research in Education (IJERE) · Vol. 12 No. 1 (2023) · pp. 292–301

DOI
10.11591/ijere.v12i1.23115
ISSN
2620-5440, 2252-8822
Published
2023-03-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-nc/4.0

Abstract

To ensure the success of science learning oriented to higher order thinking skills, especially scientific communication skills (SCS), valid and effective instruments are needed. The existing instruments, although helpful, are still too general and have not touched the socio-cultural context. Therefore, we developed an instrument to measure SCS according to the characteristics of students in Indonesia. This study tested the validity, reliability and assumptions of the hypothetical model of the scientific communication skills inventory (SCSI) instrument developed. This study involved 1,287 students in Indonesia. The test was carried out through confirmatory factor analysis with structural equation modelling (SEM) using AMOS version 21. The results of the analysis show that the reliability of the instrument based on Cronbach’s alpha coefficient is 0.720. The convergent validity test detected one item of the oral presentation indicator as invalid and the discriminant validity test confirmed that all instrument items were declared valid. The goodness of fit test shows all scores according to the recommended standard criteria so that SCSI can be used to identify the SCS ability profile of students in Indonesia. For further research, we recommend the development of a learning model that prioritizes the context of social issues to grow students’ SCS.

Keywords

Collaboration network of the authors

37 authors · 74 co-authorship links · 19 across different organisations

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

  • Lampung University
  • Universitas Negeri Padang
  • Indonesia University of Education
  • University of Technology Malaysia
  • Tunghai University
  • Cenderawasih University
  • Mahasarakham University
  • 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
Viyanti ViyantiLampung University3
Eko SuyantoAffiliation unknown2
⁠Undang RosidinLampung University1
Rizki Eka ShintyaIndonesia University of Education1
Noor FarawahidahUniversity of Technology Malaysia1
H MaulinaLampung University1
Ismi RakhmawatiLampung University1
R. A. N. KhasanahTunghai University1
Abdurrahman AbdurrahmanLampung University1
K. KhoiriahAffiliation unknown1
Indah BudiartiCenderawasih University1
Haza Kurnia DinatikanLampung University1
Cintya IrvantiLampung University1
Usmeldi UsmeldiUniversitas Negeri Padang1
Risda AminiUniversitas Negeri Padang1
Novizal WendryAffiliation unknown1
Tafiati TafiatiAffiliation unknown1
Maksum MaksumAffiliation unknown1
Ratna AgustiniAffiliation unknown1
Chandra ErtikantoLampung University1
Dian PurnamawatiAffiliation unknown1
Meta Dwi AyuningtiasAffiliation unknown1
Legborsi NwinehAffiliation unknown1
Prasart NuangchalermMahasarakham University1
Listiana ListianaAffiliation unknown1
Abdurrahman AbdurrahmanAffiliation unknown1
Afis PratamaUniversitas Ivet1
Annisya DestryatiAffiliation unknown1
Adyt AnugrahAffiliation unknown1
Kartini HerlinaAffiliation unknown1
İrwandani IrwandaniUniversitas Islam Negeri Raden Intan Lampung1
Dina MaulinaAffiliation unknown1
Een Yayah HaenilahLampung University1

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">Reviewing of Indonesian students’ scientific communication skills: A structural equation modeling analysis</dc:title>
	<dc:creator>Khoiriah, Khoiriah</dc:creator>
	<dc:creator>Suyatna, Agus</dc:creator>
	<dc:creator>Abdurrahman, Abdurrahman</dc:creator>
	<dc:creator>Jalmo, Tri</dc:creator>
	<dc:subject xml:lang="en-US">Construct validity; Indonesian students’ characters; SCSI instrument; SEM</dc:subject>
	<dc:description xml:lang="en-US">To ensure the success of science learning oriented to higher order thinking skills, especially scientific communication skills (SCS), valid and effective instruments are needed. The existing instruments, although helpful, are still too general and have not touched the socio-cultural context. Therefore, we developed an instrument to measure SCS according to the characteristics of students in Indonesia. This study tested the validity, reliability and assumptions of the hypothetical model of the scientific communication skills inventory (SCSI) instrument developed. This study involved 1,287 students in Indonesia. The test was carried out through confirmatory factor analysis with structural equation modelling (SEM) using AMOS version 21. The results of the analysis show that the reliability of the instrument based on Cronbach’s alpha coefficient is 0.720. The convergent validity test detected one item of the oral presentation indicator as invalid and the discriminant validity test confirmed that all instrument items were declared valid. The goodness of fit test shows all scores according to the recommended standard criteria so that SCSI can be used to identify the SCS ability profile of students in Indonesia. For further research, we recommend the development of a learning model that prioritizes the context of social issues to grow students’ SCS.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2023-03-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://ijere.iaescore.com/index.php/IJERE/article/view/23115</dc:identifier>
	<dc:identifier>10.11591/ijere.v12i1.23115</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 12, No 1: March 2023; 292-301</dc:source>
	<dc:source>2620-5440</dc:source>
	<dc:source>2252-8822</dc:source>
	<dc:source>10.11591/ijere.v12i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/23115/13526</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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