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Validity and reliability of data in research
Validity and reliability of data in research











Rodrigues, I.B., et al.: Development and validation of a new tool to measure the facilitators, barriers and preferences to exercise in people with osteoporosis. How to test the validation of a questionnaire/survey in a research (2016)

validity and reliability of data in research

Taherdoost, H.: Validity and reliability of the research instrument how to test the validation of a questionnaire/survey in a research. Space 12(3) (2017)ĭiStefano, C., Hess, B.: Using confirmatory factor analysis for construct validation: an empirical review. Masuwai, A.M., Saad, N.S.: Evaluating the face and content validity of a Teaching and Learning Guiding Principles Instrument (TLGPI): a perspective study of Malaysian teacher educators. In: Digital Innovation and Transformation Conference (2019)Īl-Kalbani, A.: A compliance based framework for information security in e-government in Oman (2017)

validity and reliability of data in research

Malanda, D.: Digital skills in the public sector: asystematic literature review. Mergel, I.: Competencies for the Digital Transformation of Public Administrations (2020). Gekara, V., et al.: Skilling the Australian workforce for the digital economy. Half, R.: Staffing Digital Projects: Not as Straightforward as It Sounds (2017). Kane, G.C., et al.: Aligning the organization for its digital future (2016). Results support the validation of this 75-item questionnaire hence could be further researched on construct validity. The final instrument has 75 multiple-choice questions on a 5-point Likert scale. In the final instrument, only items with a Content Validity Index (CVI) higher than 0.80 were used.

validity and reliability of data in research

The judging evidence of the instrument is being evaluated for content validity by an expert panel of eight academicians. The suggestions and comments were taken into account. This research aimed to evaluate the face and content validity and analysis of the result of the pilot study of the new instrument for “digital government competency framework for Omani public sector managers.” Seven experts in the IT and non-IT fields participated in face validity, and 110 were used as a sample for the pilot study. Government staff must therefore be prepared with pertinent digital skills that are currently not thoroughly studied if the Digital Government is to succeed. Therefore, this process needs people, technology, and a set of strategies. Globally, governments invest in transformation projects as a component of digital transformation is referred to as Digital Government (formerly known as e-Government).













Validity and reliability of data in research