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Analysis of Results, Discussions, and Implications

In: The Innovation Shift in Higher Education

Author

Listed:
  • Aftab Ara

    (College of Excellence)

  • Kishore Kumar Das

    (Ravenshaw University)

Abstract

This chapter thus provides the base for the following chapter in which the research findings, suggestions, and recommendations to the policymakers of higher education, and the conclusions will be presented. It narrates the stepwise analysis undertaken in this research. The descriptive statistics have described the demographics and indicated a fair distribution of the respondents into the section of the sample. Skewness and Kurtosis measures have indicated the normalcy of distribution and the suitability of the sample for inferential statistics. The overall perceptions categorized the response into the ordinal scales ranging from bad to very good and adequately described the data so that a fair understanding may be obtained in terms of the distribution of the response. The comparative analysis of the dimensions enabled the describing of the response to the three research constructs under investigation on relative terms. Inter-cadre comparison was also undertaken to study in detail how the faculty under various cadres responded to the dimensions of the three research constructs. Further, the rank order correlation tested the interrelationships between the rankings. The results obtained through inferential statistics mainly through hypotheses testing using regression analysis and structural equation modeling have provided adequate inputs to this research. These analyses have led to discussions and comparisons to the earlier research in this field and the similarities and contrasts have been explained.

Suggested Citation

  • Aftab Ara & Kishore Kumar Das, 2021. "Analysis of Results, Discussions, and Implications," Springer Books, in: The Innovation Shift in Higher Education, chapter 0, pages 57-121, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-2055-3_4
    DOI: 10.1007/978-981-16-2055-3_4
    as

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