Melola Discovery

← Melola Discovery

Jurnal

Canonical Correlations on Positive and Negative Attitudes of Computer-Based Statistics among Business Students

Dinamika Pendidikan · Vol. 19 No. 1 (2024) · pp. 109–121

DOI
10.15294/dp.v19i1.6478
ISSN
2502-5074, 1907-3720
Published
2024-08-12
Publisher
Economics Education Department Universitas Negeri Semarang
Language
eng

Abstract

This study aims to investigate the canonical relationship between positive and negative attitudes of economics and business students when using computer-based analytical tools. The subjects of this study were students of the Faculty of Economics and Business in Medan. Samples were taken from two universities, including state universities and private universities. Using a random sampling technique, this study collected 247 responses, consisting of 47 male and 200 female respondents. The data in this study were collected using a questionnaire with a 5-Likert scale and analyzed by canonical correlation. The results of the canonical correlation analysis in this study revealed that Perceived Usefulness (PU) and Perceive Enjoyment (PE) were critical predictors of the construct set of positive attitudes. At the same time, Strain (ST) and Negative Affectivity (NA) were essential predictors of the formation of negative attitudes among users when using computer-based statistical tools. This study produces a new insight related to attitude toward Information Technology (IT) in a specific task, namely statistical analysis. This study also has practical recommendations for universities and lecturers to invest in and use statistical software that is easy and convenient for teaching statistics.

Keywords

Collaboration network of the authors

40 authors · 142 co-authorship links · 27 across different organisations

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

  • Yogyakarta State University
  • Universitas Pancasakti Tegal
  • Universitas Sulawesi Barat
  • Webster University
  • National Research and Innovation Agency
  • Khon Kaen University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sumaryanto SumaryantoYogyakarta State University2
Lantip Diat PrasojoYogyakarta State University2
Purwoko Haryadi SantosoUniversitas Sulawesi Barat2
Firdaus Amruzain Satiranandi WibowoAffiliation unknown2
Asma KhoirunnisaAffiliation unknown2
Angella Ananta BatubaraAffiliation unknown2
Miftah Okta BerlianAffiliation unknown2
Zulfa Safina IbrahimAffiliation unknown2
Jailani JailaniAffiliation unknown2
Janu ArlinwibowoNational Research and Innovation Agency1
Bayuk NusantaraYogyakarta State University1
Samsul HadiYogyakarta State University1
Rimajon SotlikovaWebster University1
Moh. KhairudinYogyakarta State University1
Bayu SetiajiYogyakarta State University1
Khafidh Nur AzizYogyakarta State University1
Somadi SosrohadiAffiliation unknown1
Disza Aulia HaryantoAffiliation unknown1
Dian BhagawatiAffiliation unknown1
Agus NuryantoAffiliation unknown1
Aswi Andriasari RofiqohAffiliation unknown1
Sumin SuminAffiliation unknown1
Lovieanta ArrizaAffiliation unknown1
Rizki Tika AyuniAffiliation unknown1
Muhammad Lintang Damar SaktiAffiliation unknown1
Muhammad Lintang Damar SaktiAffiliation unknown1
Kana HidayatiAffiliation unknown1
Nur Hadi WaryantoAffiliation unknown1
Purwo SusongkoUniversitas Pancasakti Tegal1
Mobinta KusumaUniversitas Pancasakti Tegal1
İnsih WilujengYogyakarta State University1
Chokchai YuenyongKhon Kaen University1
Ariyatun AriyatunAffiliation unknown1
Dewi Amaliah NafiatiAffiliation unknown1
Novie Kurniasih KamaruddinAffiliation unknown1
Eni Dwi RusjayantiAffiliation 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) https://journal.unnes.ac.id/journals/DP/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Canonical Correlations on Positive and Negative Attitudes of Computer-Based Statistics among Business Students</dc:title>
	<dc:creator xml:lang="en">Effiyanti, Tri</dc:creator>
	<dc:creator xml:lang="en">Sagala, Gaffar Hafiz </dc:creator>
	<dc:creator xml:lang="en">Sukirno</dc:creator>
	<dc:creator xml:lang="en">Retnawati, Heri </dc:creator>
	<dc:subject xml:lang="en">Canonical Correlation</dc:subject>
	<dc:subject xml:lang="en">Digital Natives</dc:subject>
	<dc:subject xml:lang="en">Information System</dc:subject>
	<dc:subject xml:lang="en">Statistics</dc:subject>
	<dc:description xml:lang="en">This study aims to investigate the canonical relationship between positive and negative attitudes of economics and business students when using computer-based analytical tools. The subjects of this study were students of the Faculty of Economics and Business in Medan. Samples were taken from two universities, including state universities and private universities. Using a random sampling technique, this study collected 247 responses, consisting of 47 male and 200 female respondents. The data in this study were collected using a questionnaire with a 5-Likert scale and analyzed by canonical correlation. The results of the canonical correlation analysis in this study revealed that Perceived Usefulness (PU) and Perceive Enjoyment (PE) were critical predictors of the construct set of positive attitudes. At the same time, Strain (ST) and Negative Affectivity (NA) were essential predictors of the formation of negative attitudes among users when using computer-based statistical tools. This study produces a new insight related to attitude toward Information Technology (IT) in a specific task, namely statistical analysis. This study also has practical recommendations for universities and lecturers to invest in and use statistical software that is easy and convenient for teaching statistics.</dc:description>
	<dc:publisher xml:lang="en">Economics Education Department Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-08-12</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/DP/article/view/6478</dc:identifier>
	<dc:identifier>10.15294/dp.v19i1.6478</dc:identifier>
	<dc:source xml:lang="en">Dinamika Pendidikan; Vol. 19 No. 1 (2024); 109-121</dc:source>
	<dc:source>2502-5074</dc:source>
	<dc:source>1907-3720</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/DP/article/view/6478/1188</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Dinamika Pendidikan</dc:rights>
</oai_dc:dc>