Regression Analysis Essays (Examples)
Study Document
Customer Service In The Telecoms Industry
… relationship with customers can help to improve customer loyalty.
Khatibi, Ismail and Thyagarajan (2002) in their article entitled “What drives customer loyalty: An analysis from the telecommunications industry” look at the main telecoms provider in Malaysia, Digital line II Service offered by Telekom Malaysia Berhad (TMB). They … and customer loyalty” looks at how service quality, customer satisfaction and customer loyalty go together in the telecoms industry. The researcher used reliability analysis, factor analysis, and hierarchical regression analysis and found that service quality impacted customer satisfaction which impacted customer loyalty. In other words, if the telecoms operator is able to deliver ……
References
References
Angelova, B., & Zekiri, J. (2011). Measuring customer satisfaction with service quality using American Customer Satisfaction Model (ACSI Model). International journal of academic research in business and social sciences, 1(3), 232. Retrieved from http://hrmars.com/admin/pics/381.pdf
Boohene, R., & Agyapong, G. K. (2011). Analysis of the antecedents of customer loyalty of telecommunication industry in Ghana: The case of Vodafone (Ghana). International Business Research, 4(1), 229-240. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.662.3208&rep=rep1&type=pdf
Chu, P. Y., Lee, G. Y., & Chao, Y. (2012). Service quality, customer satisfaction, customer trust, and loyalty in an e-banking context. Social Behavior and Personality: an international journal, 40(8), 1271-1283.
Lai, F., Griffin, M., & Babin, B. J. (2009). How quality, value, image, and satisfaction create loyalty at a Chinese telecom. Journal of business research, 62(10), 980-986. Retrieved from shorturl.at/BMTY7
Lee, H. S. (2013). Major moderators influencing the relationships of service quality, customer satisfaction and customer loyalty. Asian Social Science, 9(2), 1. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.428.6730&rep=rep1&type=pdf
Liu, C. T., Guo, Y. M., & Lee, C. H. (2011). The effects of relationship quality and switching barriers on customer loyalty. International Journal of Information Management, 31(1), 71-79.
Khatibi, A. A., Ismail, H., & Thyagarajan, V. (2002). What drives customer loyalty: An analysis from the telecommunications industry. Journal of Targeting, Measurement and Analysis for Marketing, 11(1), 34-44. Retrieved from https://link.springer.com/content/pdf/10.1057/palgrave.jt.5740065.pdf
Kim, M. K., Park, M. C., & Jeong, D. H. (2004). The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services. Telecommunications policy, 28(2), 145-159. Retrieved from shorturl.at/imDEX
Study Document
Understanding The Factors Affecting The Success Of Credit Risk In
… estimation of the likelihood that the prospective borrowers will end up defaulting in their loan obligations. In the course of this process, the analysis of credit risk is purpose to curtail the potential loss to the acceptable levels of risk (Derelioglu and Gurgen, 2011).
The fundamental income ……
References
References
Bhattarai, Y. R. (2016). Effect of credit risk on the performance of Nepalese commercial banks. NRB Economic Review, 28(1), 41-64.
Das, A. and Ghosh, S. (2007). Determinants of Credit Risk in Indian State-owned Banks: An Empirical Investigation. Economic Issues, 12(2): 48-66.
Derelio?lu, G., & Gürgen, F. (2011). Knowledge discovery using neural approach for SME’s credit risk analysis problem in Turkey. Expert Systems with Applications, 38(8), 9313-9318
Garr, D. K. (2013). Determinants of credit risk in the banking industry of Ghana. Developing Country Studies, 3(11), 64-77.
Gizaw, M., Kebede, M., & Selvaraj, S. (2015). The impact of credit risk on profitability performance of commercial banks in Ethiopia. African Journal of Business Management, 9(2), 59-66.
Johnson, B., & Christensen, L. (2008). Educational research: Quantitative, qualitative, and mixed approaches. New York: Sage.
Kithinji, A. M. (2010). Credit risk management and profitability of commercial banks in Kenya. (Doctoral dissertation, University of Nairobi).
Limam, I. (2001). Measuring technical efficiency of Kuwaiti banks. Kuwait: Arab Planning Institute.
Study Document
Assessment Of Clinical Practice
...Regression analysis Adolescent Family Counseling for Substance Use and Depression
I. Setting the Scene
1. Destination Hope provides mental health services to a broad client base, with areas of specialization including family care and substance abuse intervention. It is a multifaceted and multimodal treatment center that provides individual, family, and group therapy options. In addition to acute and residential care options, Destination Hope also offers structured outpatient and long term options for individuals and families to help prevent relapses and promote quality of life.
2. Jim is a fourteen year-old Caucasian male, whose sister died in a car accident four months prior. Losing a sister is challenging enough for any individual; for one going through puberty at the same time, the effects of emotional devastation and loss can be confusing and even traumatic. Therefore, Jim’s behaviors, his shift in social scene, and his differential identity during this time do need to be……
References
References
American Psychological Association (2007). Record keeping guidelines. American Psychologist 62(9): 993-1004.
Fadus, M.C., Squeglia, L.M., Valadez, E.A., et al. (2019). Adolescent substance use disorder treatment. Current Psychiatry Reports 21(96).
Godley, M.D., Passetti, L.L. (2019). Behavioral interventions for substance use and relapse prevention. Treating Adolescent Substance Use. https://doi.org/10.1007/978-3-030-01893-1_6
Hogue, A., Bobek, M., MacLean, A., et al. (2020). Core elements of CBT for adolescent conduct and substance use problems. Cognitive and Behavioral Practice(2020): https://doi.org/10.1016/j.cbpra.2019.12.002
King, G. (2016). The Role of the Therapist in Therapeutic Change: How Knowledge From Mental Health Can Inform Pediatric Rehabilitation. Physical & Occupational Therapy In Pediatrics, 37(2), 121–138. doi:10.1080/01942638.2016.1185508
Oud, M., de Winter, L., Verimeulen-Smit, E., et al. (2019). Effectiveness of CBT for children and adolescents with depression: A systematic review and meta-regression analysis. European Psychiatry 57(2019): 33-45.
Rodriguez, M., Walters, S. T., Houck, J. M., Ortiz, J. A., & Taxman, F. S. (2017). The language of change among criminal justice clients: Counselor language, client language, and client substance use outcomes. Journal of Clinical Psychology, 74(4), 626–636. doi:10.1002/jclp.22534
Shulman, L. (2011). Dynamics and skills of group counseling. Belmont, CA: Brooks/Cole.
Study Document
Privacy In Social Networks Regarding Machine Learning
… assess their browsing and personal information—and in doing so they could soon be predicting someone’s recreational activities or political affiliation through a simple analysis of an individual’s social media use, such as posts on Twitter or the friends one has on Facebook (Lindsey, 2019). As a result, … by Mohassel and Zhang (2017). Mohassel and Zhang (2017) use a two-server model with machine learning algorithms for the purposes of training linear regression, logistic regression and neural networks models: “in this model, in a setup phase, the data owners (clients) process, encrypt and/or secret-share their data among two ……
References
References
Balle, B., Gascón, A., Ohrimenko, O., Raykova, M., Schoppmmann, P., & Troncoso, C. (2019, November). PPML\\\\\\\\\\\\'19: Privacy Preserving Machine Learning. In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security (pp. 2717-2718). ACM.
Bilogrevic, I., Huguenin, K., Agir, B., Jadliwala, M., Gazaki, M., & Hubaux, J. P. (2016). A machine-learning based approach to privacy-aware information-sharing in mobile social networks. Pervasive and Mobile Computing, 25, 125-142.
Bonawitz, K., Ivanov, V., Kreuter, B., Marcedone, A., McMahan, H. B., Patel, S., ... & Seth, K. (2017, October). Practical secure aggregation for privacy-preserving machine learning. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (pp. 1175-1191). ACM.
Hunt, T., Song, C., Shokri, R., Shmatikov, V., & Witchel, E. (2018). Chiron: Privacy-preserving machine learning as a service. arXiv preprint arXiv:1803.05961.
Lindsey, N. (2019). New Research Study Shows That Social Media Privacy Might Not Be Possible. Retrieved from https://www.cpomagazine.com/data-privacy/new-research-study-shows-that-social-media-privacy-might-not-be-possible/
Mohassel, P., & Zhang, Y. (2017, May). Secureml: A system for scalable privacy-preserving machine learning. In 2017 IEEE Symposium on Security and Privacy (SP) (pp. 19-38). IEEE.
Mooney, S. J., & Pejaver, V. (2018). Big data in public health: terminology, machine learning, and privacy. Annual review of public health, 39, 95-112.
Oh, S. J., Benenson, R., Fritz, M., & Schiele, B. (2016, October). Faceless person recognition: Privacy implications in social media. In European Conference on Computer Vision (pp. 19-35). Springer, Cham.
Study Document
Application Of Quality And Safety Concepts
… including those in developed nations such as America. This is an obstacle on the medical science path as well as gives rise to regression due to the waste caused by it. Besides patients paying the price through adverse health events and inconvenience, there is also an increase … general IT on account of its particular focus and possibly more inflexible and limiting standards and framework. AST (Adaptive Structuration Theory) improves IT analysis, especially in case of new adoption. Based on the 1984 Structuration Theory of Gidden, Poole and…[break]…assess community-based telemonitoring or remote monitoring of patients … and analyzing data to compare how well an intervention is being implemented against expected results”. Therefore, this involves “the routine collection, review and analysis of data, either generated by digital systems or purposively collected, which measure implementation fidelity and progress towards achieving intervention objectives”. The content of, ……
References
Bibliography
Alotaibi, Y. K., & Federico, F. (2017). The impact of health information technology on patient safety. Saudi Med J, 38(12), 1173–1180.
Amit, M. (2019, January 28). 5 Problems Which Healthcare Technology Can Solve for a Healthier World. Retrieved from Net Solutions: https://www.netsolutions.com/insights/5-healthcare-problems-which-digital-technologies-can-solve-for-a-fit-and-healthy-world/
DeSanctis, G., & Poole, M. S. (1994). Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory. Organization Science, 5(2), 121-147.
Feldman, S. S., Buchalter, S., & Hayes, L. W. (2018). Health Information Technology in Healthcare Quality and Patient Safety: Literature Review. JMIR Med Inform, 6(2).
Halamka, J., Mandl, K., & Tang, P. (2008). Early Experiences with Personal Health Records. Journal of the American Medical Informatics Association, 15(1), 1-7.
IOM. (1999). To Err is Human: Building a Safer Health System. National Academy of Sciences.
Singh, H., & Sittig, D. (2016). Measuring and improving patient safety through health information technology: The Health IT Safety Framework. BMJ Quality & Safety, 25, 226-232.
Weigel, F., Hall, D. J., & Landrum, W. H. (2009). Human/Technology Adaptation Fit Theory for Healthcare. SAIS 2009 Proceedings.
Study Document
A Focus On Florida Coast Geography Of Soils And Vegetation In Coastal
...Regression analysis Geography of Soils and Vegetation in Coastal Environments; focus on Florida Coast
Introduction
A significant relationship exists between vegetation and soil: soil supports sufficient vegetation growth by providing the latter with moisture, anchorage, and essential nutrients; meanwhile, vegetation serves as a protective covering for soil, safeguarding it against erosion and also facilitating the maintenance of soil nutrition levels using nutrient cycling (i.e., accumulation of litter and its subsequent decay). Thus, soil and vegetation may be said to be reciprocally interrelated. Vegetation is responsible for supporting essential ecosystem functions at multiple spatial scales.
Furthermore, it strongly influences soil quality and attributes such as texture, volume, and chemistry that, in turn, and reciprocally impact several characteristics of vegetation, like floristic composition, productivity, and structure (Eni et al., 1). In this paper, coastal area vegetation and soil geography will be analyzed. But as considerable variation exists between different coastal areas (e.g., the coast……
References
Works cited
Araujo, D. S. D., and M. C. A. Pereira. " INTERNATIONAL COMMISSION ON TROPICAL BIOLOGY AND NATURAL RESOURCES - Sandy coastal vegetation." Encyclopedia of Life Support Systems (EOLSS), (2012).
Armentano, Thomas V., et al. "Vegetation pattern and process in tree islands of the southern Everglades and adjacent areas." Tree islands of the Everglades. Springer, Dordrecht, 2002. 225-281.
Bakker, Jan P., et al. "Environmental impacts—coastal ecosystems." North Sea region climate change assessment. Springer, Cham, 2016. 275-314.
Benedet, L., C. W. Finkl, and A. H. F. Klein. "Morphodynamic classification of beaches on the Atlantic coast of Florida: geographical variability of beach types, beach safety, and coastal hazards." Journal of Coastal Research (2006): 360-365.
Bini, C., et al. "Soils and vegetation of coastal and wetland areas in Northern Adriatic (NE Italy)." 7. International Meeting on Soils with Mediterranean Type of Climate, Valenzano (Italy), 23-28 Sep 2001. CIHEAM-IAMB, 2002.
Eni, D. D., A. I. Iwara, and R. A. Offiong. "Analysis of soil-vegetation interrelationships in a south-southern secondary forest of Nigeria." International Journal of Forestry Research 2012 (2012).
Psuty, Norbert P., Philip E. Steinberg, and Dawn J. Wright. "Coastal and marine geography." Geography in America at the Dawn of the 21st Century (2004): 314-25.
Wright, Lynn D., and Andrew D. Short. "Morphodynamic variability of surf zones and beaches: a synthesis." Marine Geology 56.1-4 (1984): 93-118
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