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 |
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| 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 |
| 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. |
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| ISSN: | 2148-9955 |
