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Estimation of Cronbach reliability based on sample size, gender, and the grades

International Journal of Evaluation and Research in Education (IJERE) · Vol. 13 No. 2 (2024) · pp. 759–766

DOI
10.11591/ijere.v13i2.24895
ISSN
2620-5440, 2252-8822
Published
2024-04-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-nc/4.0

Abstract

The study tries to see the effect of different sample sizes on the reliability of creativity tests using Cronbach’s alpha. In addition, the background of the sample (gender and grade) is also detected. The study has a practical significance for designing a sample for estimating reliability using Cronbach alpha. The secondary data are used for analysis. The sample of creativity test is determined purposively, that is, has been administered to 1,960 students. The α-coefficient calculation uses the SPSS program. The result proves in the total sample, the creativity test is reliable (α=0.852). In small sample sizes, the α-coefficients values vary greatly in the different test groups. In the larger sample size, the α-coefficients are closer to constant in the different test groups. For a polytomous scale test with a length of 20 items, the α-coefficients obtained close to constant on the sample size of more than 80 testees. This result indicates for the optimum result the sample size is at least four times larger than the number of test items in reliability analysis, especially Cronbach alpha. Based on the gender aspect, descriptively the α-coefficient in the male group (0.846) was almost equal to the female group (0.851). By grouping the testees based on the grades, there are slight differences in α-coefficients in class IV (0.850), class V (0.841), and class VI (0.809). Regarding the results of this study, in the reliability estimation of test development, it is suggested to consider the adequacy and the characteristic of samples.

Keywords

Collaboration network of the authors

40 authors · 139 co-authorship links · 9 across different organisations · showing the 40 most connected

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  • Yogyakarta State University
  • State University of Semarang
  • Webster University
  • National Research and Innovation Agency
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ellianawati EllianawatiState University of Semarang14
Ani RusilowatiState University of Semarang9
Tri Joko RaharjoAffiliation unknown7
Ian YuliantiAffiliation unknown7
Samsul HadiYogyakarta State University6
Putut MarwotoState University of Semarang5
Imam SumponoAffiliation unknown4
Harianingsih HarianingsihAffiliation unknown3
Pratiwi DwijanantiAffiliation unknown3
Sigit SaptonoState University of Semarang3
Sarwi SarwiAffiliation unknown3
Alvian AlvianAffiliation unknown3
Susilo SusiloAffiliation unknown3
Supahar SupaharYogyakarta State University3
Widihastuti WidihastutiYogyakarta State University3
Janu ArlinwibowoNational Research and Innovation Agency2
Bayuk NusantaraYogyakarta State University2
Sumaryanto SumaryantoYogyakarta State University2
Rimajon SotlikovaWebster University2
Ariyadi WijayaYogyakarta State University2
Purwoko Haryadi SantosoYogyakarta State University2
Firdaus Amruzain Satiranandi WibowoYogyakarta State University2
Muhammad Lintang Damar SaktiYogyakarta State University2
Asma’ Khoirunnisa’Yogyakarta State University2
Angella Ananta BatubaraYogyakarta State University2
Miftah Okta BerlianYogyakarta State University2
Zulfa Safina IbrahimYogyakarta State University2
Arif WidiyatmokoState University of Semarang2
Listiyanto ListiyantoAffiliation unknown2
Fitri NurdianaAffiliation unknown2
Diah Nur FitriasariAffiliation unknown2
Rahayu PangestutiAffiliation unknown2
Wiwi IsnaeniState University of Semarang2
Nurul Heni AstutiAffiliation unknown2
Suharto LinuwihAffiliation unknown2
Nuni WidiartiAffiliation unknown2

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">Estimation of Cronbach reliability based on sample size, gender, and the grades</dc:title>
	<dc:creator>Ikhsanudin, Ikhsanudin</dc:creator>
	<dc:creator>Subali, Bambang</dc:creator>
	<dc:creator>Retnawati, Heri</dc:creator>
	<dc:creator>Istiyono, Edi</dc:creator>
	<dc:subject xml:lang="en-US">Creativity test; Cronbach reliability; Gender; Grade of class; Sample size</dc:subject>
	<dc:description xml:lang="en-US">The study tries to see the effect of different sample sizes on the reliability of creativity tests using Cronbach’s alpha. In addition, the background of the sample (gender and grade) is also detected. The study has a practical significance for designing a sample for estimating reliability using Cronbach alpha. The secondary data are used for analysis. The sample of creativity test is determined purposively, that is, has been administered to 1,960 students. The α-coefficient calculation uses the SPSS program. The result proves in the total sample, the creativity test is reliable (α=0.852). In small sample sizes, the α-coefficients values vary greatly in the different test groups. In the larger sample size, the α-coefficients are closer to constant in the different test groups. For a polytomous scale test with a length of 20 items, the α-coefficients obtained close to constant on the sample size of more than 80 testees. This result indicates for the optimum result the sample size is at least four times larger than the number of test items in reliability analysis, especially Cronbach alpha. Based on the gender aspect, descriptively the α-coefficient in the male group (0.846) was almost equal to the female group (0.851). By grouping the testees based on the grades, there are slight differences in α-coefficients in class IV (0.850), class V (0.841), and class VI (0.809). Regarding the results of this study, in the reliability estimation of test development, it is suggested to consider the adequacy and the characteristic of samples.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
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	<dc:date>2024-04-01</dc:date>
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	<dc:identifier>https://ijere.iaescore.com/index.php/IJERE/article/view/24895</dc:identifier>
	<dc:identifier>10.11591/ijere.v13i2.24895</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 13, No 2: April 2024; 759-766</dc:source>
	<dc:source>2620-5440</dc:source>
	<dc:source>2252-8822</dc:source>
	<dc:source>10.11591/ijere.v13i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/24895/13810</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 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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