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Assessment and Modelling of Research Undertaking, Digital-Technology Construct and Researchers' Statistical Software Skills

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Title: Assessment and Modelling of Research Undertaking, Digital-Technology Construct and Researchers' Statistical Software Skills
Language: English
Authors: Afeez Jinadu, Eugenia Okwilagwe
Source: International Journal of Research in Education and Science. 2025 11(4):759-778.
Availability: International Society for Technology, Education, and Science. e-mail: ijresoffice@gmail.com; Web site: https://www.ijres.net/index.php/ijres
Peer Reviewed: Y
Page Count: 21
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Statistical Analysis, Computer Software, Structural Equation Models, Foreign Countries, Digital Literacy, Research, Causal Models, Mathematics Anxiety, Researchers, Research Skills, Self Efficacy
Geographic Terms: Nigeria
ISSN: 2148-9955
Abstract: The study investigated the structural equation modelling of nine variables consisting of research undertaking, digi-tech construct (digital nativity, category of adoption of digital technologies, digital literacy, digital citizenship, statistical software anxiety, self-efficacy and knowledge) and researcher statistical software skills in the Sub-Sahara Africa. Human Functioning Theory and ex-post facto design were adopted. Multi stage sampling techniques were used to select 744 researchers across the Southwestern, Nigerian Universities and research institutes. Assessment of Researcher Digital Literacy--(KR[subscript 20]=0.86), Researcher Statistical Knowledge and Performance Skills--(KR[subscript 20]=0.82) and Researcher Statistical Software Operation Ability--([pi]=0.93) tests, Researcher Digital Construct Response--(r=0.84) and Researcher Statistical Software Anxiety and Efficacy--(r=0.87 and 0.76) scales were used. Data were analysed using path analysis. Eighteen out of the 35-hypothesised paths significantly explained the consistency of the causal model. Research undertaking--(0.02), digital nativity--(0.02), literacy--(0.01), citizenship--(0.06), statistical software anxiety--(0.01), statistical software self-efficacy--(0.02) and statistical software knowledge--(0.18) have 90.7% direct effect, whereas research undertaking--(0.01), digital literacy--(0.09), citizenship--(0.01) and statistical software anxiety--(0.02) accounted for 9.3% indirect effects on researcher statistical software skills. There was a positive causal effect of research undertaking and digi-tech construct on researcher statistical software skills. Therefore, researchers undertaking studies without inputs from digi-tech construct may not achieve sophisticated statistical software skills.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1484144
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1484144
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PubType: Academic Journal
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  Data: Assessment and Modelling of Research Undertaking, Digital-Technology Construct and Researchers' Statistical Software Skills
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  Data: English
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  Data: <searchLink fieldCode="AR" term="%22Afeez+Jinadu%22">Afeez Jinadu</searchLink><br /><searchLink fieldCode="AR" term="%22Eugenia+Okwilagwe%22">Eugenia Okwilagwe</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Research+in+Education+and+Science%22"><i>International Journal of Research in Education and Science</i></searchLink>. 2025 11(4):759-778.
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  Data: International Society for Technology, Education, and Science. e-mail: ijresoffice@gmail.com; Web site: https://www.ijres.net/index.php/ijres
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  Data: 21
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  Data: 2025
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+Equation+Models%22">Structural Equation Models</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+Literacy%22">Digital Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Causal+Models%22">Causal Models</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Anxiety%22">Mathematics Anxiety</searchLink><br /><searchLink fieldCode="DE" term="%22Researchers%22">Researchers</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Skills%22">Research Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Efficacy%22">Self Efficacy</searchLink>
– Name: Subject
  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Nigeria%22">Nigeria</searchLink>
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  Label: ISSN
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  Data: 2148-9955
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The study investigated the structural equation modelling of nine variables consisting of research undertaking, digi-tech construct (digital nativity, category of adoption of digital technologies, digital literacy, digital citizenship, statistical software anxiety, self-efficacy and knowledge) and researcher statistical software skills in the Sub-Sahara Africa. Human Functioning Theory and ex-post facto design were adopted. Multi stage sampling techniques were used to select 744 researchers across the Southwestern, Nigerian Universities and research institutes. Assessment of Researcher Digital Literacy--(KR[subscript 20]=0.86), Researcher Statistical Knowledge and Performance Skills--(KR[subscript 20]=0.82) and Researcher Statistical Software Operation Ability--([pi]=0.93) tests, Researcher Digital Construct Response--(r=0.84) and Researcher Statistical Software Anxiety and Efficacy--(r=0.87 and 0.76) scales were used. Data were analysed using path analysis. Eighteen out of the 35-hypothesised paths significantly explained the consistency of the causal model. Research undertaking--(0.02), digital nativity--(0.02), literacy--(0.01), citizenship--(0.06), statistical software anxiety--(0.01), statistical software self-efficacy--(0.02) and statistical software knowledge--(0.18) have 90.7% direct effect, whereas research undertaking--(0.01), digital literacy--(0.09), citizenship--(0.01) and statistical software anxiety--(0.02) accounted for 9.3% indirect effects on researcher statistical software skills. There was a positive causal effect of research undertaking and digi-tech construct on researcher statistical software skills. Therefore, researchers undertaking studies without inputs from digi-tech construct may not achieve sophisticated statistical software skills.
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  Label: Abstractor
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  Data: As Provided
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  Data: 2025
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  Data: EJ1484144
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 759
    Subjects:
      – SubjectFull: Statistical Analysis
        Type: general
      – SubjectFull: Computer Software
        Type: general
      – SubjectFull: Structural Equation Models
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Digital Literacy
        Type: general
      – SubjectFull: Research
        Type: general
      – SubjectFull: Causal Models
        Type: general
      – SubjectFull: Mathematics Anxiety
        Type: general
      – SubjectFull: Researchers
        Type: general
      – SubjectFull: Research Skills
        Type: general
      – SubjectFull: Self Efficacy
        Type: general
      – SubjectFull: Nigeria
        Type: general
    Titles:
      – TitleFull: Assessment and Modelling of Research Undertaking, Digital-Technology Construct and Researchers' Statistical Software Skills
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          Name:
            NameFull: Afeez Jinadu
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            NameFull: Eugenia Okwilagwe
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
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            – Type: issn-electronic
              Value: 2148-9955
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              Value: 11
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              Value: 4
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            – TitleFull: International Journal of Research in Education and Science
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