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Researcher Intention to Use Statistical Software: Examine the Role of Statistical Anxiety, Self-Efficacy and Enjoyment

Researcher Intention to Use Statistical Software: Examine the Role of Statistical Anxiety, Self-Efficacy and Enjoyment

Shalini Shukla, Rakesh Kumar
Copyright: © 2020 |Volume: 16 |Issue: 3 |Pages: 17
ISSN: 1548-3908|EISSN: 1548-3916|EISBN13: 9781799802785|DOI: 10.4018/IJTHI.2020070103
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MLA

Shukla, Shalini, and Rakesh Kumar. "Researcher Intention to Use Statistical Software: Examine the Role of Statistical Anxiety, Self-Efficacy and Enjoyment." IJTHI vol.16, no.3 2020: pp.39-55. http://doi.org/10.4018/IJTHI.2020070103

APA

Shukla, S. & Kumar, R. (2020). Researcher Intention to Use Statistical Software: Examine the Role of Statistical Anxiety, Self-Efficacy and Enjoyment. International Journal of Technology and Human Interaction (IJTHI), 16(3), 39-55. http://doi.org/10.4018/IJTHI.2020070103

Chicago

Shukla, Shalini, and Rakesh Kumar. "Researcher Intention to Use Statistical Software: Examine the Role of Statistical Anxiety, Self-Efficacy and Enjoyment," International Journal of Technology and Human Interaction (IJTHI) 16, no.3: 39-55. http://doi.org/10.4018/IJTHI.2020070103

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Abstract

The present study seeks to analyse researchers' willingness and intention to use statistical software packages by using the framework of the technology acceptance model. A sample of 380 researchers was taken from various academic institutions using convenience sampling. Data was collected using a structured questionnaire and respondents were asked to respond on five-point Likert scale. The findings of the study support the applicability of the technology acceptance model in explaining and predicting researchers' intention to use statistical software packages in their data analysis process. External variables such as statistical efficacy, computer attitude, statistical anxiety, perceived enjoyment and accessibility were found to have a significant relationship with the researchers' intention to use statistical software. The study provides some interesting and meaningful implications for researchers and marketing professionals involved in the development of statistical software; these are detailed in the article.

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