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COMPARISON OF RESAMPLING EFFICIENCY LEVELS OF JACKKNIFE AND DOUBLE JACKKNIFE IN PATH ANALYSIS

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 2 (2023) · pp. 0807–0818

DOI
10.30598/barekengvol17iss2pp0807-0818
ISSN
2615-3017, 1978-7227
Published
2023-06-11
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The assumption of normality is often not fulfilled, this causes the estimation of the resulting parameters to be less efficient. The problem with assuming that normality is not satisfied can be overcome by resampling. The use of resampling allows data to be applied free of distributional assumptions. In this study, a research simulation was carried out by applying Jackknife resampling and Double Jackknife resampling in path analysis with the assumption that the normality of the residuals was not fulfilled and the number of resampling was set at 100 with the degree of closeness level of relationship between variables consisting of low closeness, medium closeness, and high closeness. Based on the simulation results, resampling with a power of 100 can overcome the problem of unfulfilled normality assumptions. In addition, the comparison of the relative efficiency level of the resampling jackknife and double jackknife in the path analysis obtained by the resampling double jackknife has more efficiency than the resampling jackknife

Collaboration network of the authors

40 authors · 93 co-authorship links · 18 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.

  • University of Brawijaya
  • Institut Agama Islam Negeri Kendari
  • Universitas Halu Oleo
  • Universitas Muhammadiyah Parepare
  • Jenderal Soedirman University
  • Universitas Islam Negeri Mahmud Yunus Batusangkar
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Adji Achmad Rinaldo FernandesUniversity of Brawijaya8
Jopang JopangUniversitas Halu Oleo3
Akhyar AbdullahUniversitas Halu Oleo3
Atiek IrianyUniversity of Brawijaya3
Ni Wayan Surya WardhaniUniversity of Brawijaya3
Makmur KambolongUniversitas Halu Oleo2
Mustakim MustakimUniversitas Muhammadiyah Parepare2
Erni QomariyahAffiliation unknown2
Achmad EfendiAffiliation unknown2
Suci AstutikUniversity of Brawijaya2
Agus Fachrur RozyUniversity of Brawijaya1
Agus SusiloAffiliation unknown1
Galuh Wilujeng PuspaAffiliation unknown1
Miftakhul CahyatiAffiliation unknown1
Dodyk PranowoAffiliation unknown1
Sumardona SumardonaInstitut Agama Islam Negeri Kendari1
Sarlinda SarlindaInstitut Agama Islam Negeri Kendari1
Epiyana EpiyanaInstitut Agama Islam Negeri Kendari1
Sarnianti SarniantiInstitut Agama Islam Negeri Kendari1
Megasari SidulaAffiliation unknown1
Kamrin KamrinAffiliation unknown1
Ruslan MajidAffiliation unknown1
Nooraini AsrudinAffiliation unknown1
Suriyani Bunga BataraAffiliation unknown1
Siti NurhayatiJenderal Soedirman University1
Nyoman Ningsih UtamiAffiliation unknown1
Candra Puspita NingtyasAffiliation unknown1
Aprilia WulandariAffiliation unknown1
Santi M Santi MAffiliation unknown1
isran museAffiliation unknown1
Aminuddin AminuddinInstitut Agama Islam Negeri Kendari1
Dewi DewiAffiliation unknown1
muslima kurniatiAffiliation unknown1
Muh AmirAffiliation unknown1
Abdul KadirUniversitas Halu Oleo1
Mirab MirabAffiliation unknown1
Irwan IrwanUniversitas Islam Negeri Mahmud Yunus Batusangkar1

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) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">COMPARISON OF RESAMPLING EFFICIENCY LEVELS OF JACKKNIFE AND DOUBLE JACKKNIFE IN PATH ANALYSIS</dc:title>
	<dc:creator>Papalia, M. Fikar</dc:creator>
	<dc:creator>Solimun, Solimun</dc:creator>
	<dc:creator>Nurjannah, Nurjannah</dc:creator>
	<dc:description xml:lang="en-US">The assumption of normality is often not fulfilled, this causes the estimation of the resulting parameters to be less efficient. The problem with assuming that normality is not satisfied can be overcome by resampling. The use of resampling allows data to be applied free of distributional assumptions. In this study, a research simulation was carried out by applying Jackknife resampling and Double Jackknife resampling in path analysis with the assumption that the normality of the residuals was not fulfilled and the number of resampling was set at 100 with the degree of closeness level of relationship between variables consisting of low closeness, medium closeness, and high closeness. Based on the simulation results, resampling with a power of 100 can overcome the problem of unfulfilled normality assumptions. In addition, the comparison of the relative efficiency level of the resampling jackknife and double jackknife in the path analysis obtained by the resampling double jackknife has more efficiency than the resampling jackknife</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-06-11</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:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7805</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss2pp0807-0818</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications; 0807-0818</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss2year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>info:eu-repo/grantAgreement/EC/FP7/123456</dc:relation>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7805/5942</dc:relation>
	<dc:rights xml:lang="en-US">info:eu-repo/semantics/openAccess</dc:rights>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 M. Fikar Papalia, Solimun Solimun, Nurjannah Nurjannah</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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