Description
Title: Assess Quantitative Data Analysis
Used five quantitative research paper with different data collection and analysis plans and address the following components for each paper:
• Describe the data analysis method(s) used.
• Evaluate the appropriateness of the data analysis method (hint: focus on the extent to which it addressed the research questions and the limitations of the method).
• Provide a perspective on the amount of detail provided by the researcher (hint: focus on statistical assumption tests, discussion of data issues and cleaning (e.g., missing values and outliers), criteria for assessing statistical significance, conclusions are aligned with the statistical results).
• Assess the reproducibility of the study.
References: 7 additional references in addition to below mentioned one.
References:
Sadiwala, R. (2019). Performance Evaluation of Quality Parameters for Integrated Unified Communication Network. 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom), Computing for Sustainable Global Development (INDIACom), 2019 6th International Conference On, 562–568.
Teckchandani, A. (2018). Slack: A Unified Communications Platform to Improve Team Collaboration. ACADEMY OF MANAGEMENT LEARNING & EDUCATION, 17(2), 226–228.
Wang, Y. (2021). Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 17(1s), 1–25.
Cong, P., Zhou, J., Li, L., Cao, K., Wei, T., & Li, K. (2020). A Survey of Hierarchical Energy Optimization for Mobile Edge Computing : A Perspective from End Devices to the Cloud. ACM Computing Surveys (CSUR), 53(2), 1–44.
Liang, J., Cao, J., Liu, R., & Li, T. (2016). Distributed Intelligent MEMS : A Survey and a Real-Time Programming Framework. ACM Computing Surveys (CSUR), 49(1), 1–29.
