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Heat and temperature metacognition awareness inventory: A confirmatory factor analysis

International Journal of Evaluation and Research in Education (IJERE) · Vol. 10 No. 2 (2021) · pp. 389–395

DOI
10.11591/ijere.v10i2.20917
ISSN
2620-5440, 2252-8822
Published
2021-06-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-nc/4.0

Abstract

This cross-sectional study aimed to validate students' metacognition awareness inventory in Heat and Temperature material. A total of 167 public senior high school students in Yogyakarta, Indonesia were selected through convenience sampling technique. The heat and temperature metacognition awareness inventory (HeTMAI) inventory consists of six factors, namely: 1) Knowledge of cognition; 2) Planning; 3) Monitoring; 4) Evaluation; 5) Debugging; and 6) Information management. HeTMAI used a 5-point Likert scale. The data was analyzed using the confirmatory factor analysis (CFA) method through the Maximum Likelihood approach. All statistics were found to meet acceptance values. The four GOF indices (χ2/df=2.36, CFI=0.97, TLI=0.97, and SRMR=0.06) have supported the fit of the six-factor HeTMAI model. Standardized factor loading (SFL), construct reliability (CR), average variance extracted (AVE) and discriminant values provide evidence that HeTMAI has sufficient convergent and discriminant validity. Cronbach's alpha value of 0.96 indicated HeTMAI has very adequate evidence of reliability.

Keywords

Collaboration network of the authors

40 authors · 112 co-authorship links · 15 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
  • Hasanuddin University
  • Universitas Ahmad Dahlan
  • University of Szeged
  • Indonesia University of Education
  • Universitas Islam Negeri Antasari Banjarmasin
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
İnsih WilujengYogyakarta State University9
Riki PerdanaAffiliation unknown8
Riwayani RiwayaniAffiliation unknown5
Dadan RosanaYogyakarta State University4
Mundilarto MundilartoAffiliation unknown4
Soeharto SoehartoUniversity of Szeged4
Dwi Puji AstutiAffiliation unknown4
Toni Kus IndratnoAffiliation unknown3
Ariati Dina PuspitasariAffiliation unknown3
Warsono WarsonoAffiliation unknown3
Jumadi JumadiYogyakarta State University3
Senam SenamYogyakarta State University2
Liena SofianaAffiliation unknown2
Suci Musvita AyuAffiliation unknown2
Erni GustinaAffiliation unknown2
Yuniar WardaniAffiliation unknown2
Anggi Datiatur RahmatIndonesia University of Education2
Habibi HabibiAffiliation unknown2
Fitri Nur HikmahUniversitas Islam Negeri Antasari Banjarmasin2
Rakhma Ayu MaulidahAffiliation unknown1
Hemi RatnawatiAffiliation unknown1
Chairul PaotonanAffiliation unknown1
Taufiqur RachmanAffiliation unknown1
Novrian Yosua TimangAffiliation unknown1
Chairul PaotonanHasanuddin University1
Taufiqur RachmanHasanuddin University1
Novrian Yosua TimangHasanuddin University1
A. Octamaya Tenri AwaruAffiliation unknown1
Andi SadrianiAffiliation unknown1
M. Fransazeli MakorohimAffiliation unknown1
Mimi YuliantiAffiliation unknown1
Leni AprianiAffiliation unknown1
Sri Rezeki AmelianaAffiliation unknown1
SupaharAffiliation unknown1
Gilang RamadhanAffiliation 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">Heat and temperature metacognition awareness inventory: A confirmatory factor analysis</dc:title>
	<dc:creator>Sukarelawan, Moh. Irma</dc:creator>
	<dc:creator>Sulisworo, Dwi</dc:creator>
	<dc:creator>Jumadi, Jumadi</dc:creator>
	<dc:creator>Kuswanto, Heru</dc:creator>
	<dc:creator>Rofiqah, Siti Anisatur</dc:creator>
	<dc:subject xml:lang="en-US">Confirmatory factor analysis; Heat and temperature; Maximum likelihood; Metacognition awareness; Problem-solving</dc:subject>
	<dc:description xml:lang="en-US">This cross-sectional study aimed to validate students' metacognition awareness inventory in Heat and Temperature material. A total of 167 public senior high school students in Yogyakarta, Indonesia were selected through convenience sampling technique. The heat and temperature metacognition awareness inventory (HeTMAI) inventory consists of six factors, namely: 1) Knowledge of cognition; 2) Planning; 3) Monitoring; 4) Evaluation; 5) Debugging; and 6) Information management. HeTMAI used a 5-point Likert scale. The data was analyzed using the confirmatory factor analysis (CFA) method through the Maximum Likelihood approach. All statistics were found to meet acceptance values. The four GOF indices (χ2/df=2.36, CFI=0.97, TLI=0.97, and SRMR=0.06) have supported the fit of the six-factor HeTMAI model. Standardized factor loading (SFL), construct reliability (CR), average variance extracted (AVE) and discriminant values provide evidence that HeTMAI has sufficient convergent and discriminant validity. Cronbach's alpha value of 0.96 indicated HeTMAI has very adequate evidence of reliability.</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>2021-06-01</dc:date>
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	<dc:identifier>https://ijere.iaescore.com/index.php/IJERE/article/view/20917</dc:identifier>
	<dc:identifier>10.11591/ijere.v10i2.20917</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 10, No 2: June 2021; 389-395</dc:source>
	<dc:source>2620-5440</dc:source>
	<dc:source>2252-8822</dc:source>
	<dc:source>10.11591/ijere.v10i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/20917/13128</dc:relation>
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	<dc:rights xml:lang="en-US">Copyright (c) 2021 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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