An important component of your research is the methodology c…

An important component of your research is the methodology chosen. Dissertation are helpful roadmaps that often give additional information on a method chosen, then would an academic journal. While academic articles always take priority, at times, dissertations can be helpful. Visit the ProQuest Dissertation Database in the UC library, try to find a quantitative, a qualitative and a  mixed-method dissertation that may be closely related to your own topic. Describe the method used, the sample, the population chosen, was there a survey involved, or a set of questions asked as in a qualitative study. Finally, can you identify the problem the dissertation tried to examine. Topic : Data Protection and Information Sharing in Cloud. Purchase the answer to view it

In the field of research, selecting an appropriate methodology for a study is a crucial aspect. Although academic journals are generally considered the primary source for scholarly information, dissertations can also provide valuable insights into the chosen methodology. In this assignment, we will explore the ProQuest Dissertation Database in the UC library to locate three dissertations pertaining to the topic of data protection and information sharing in cloud computing. We will specifically examine one dissertation that utilizes a quantitative approach, another that employs a qualitative approach, and a third that employs a mixed-method approach. By analyzing these dissertations, we will gain an understanding of the methods employed, the sample and population chosen, and the research problem they aim to address.

1) Quantitative Dissertation:
Title: “Impact of Encryption Algorithms on Data Protection in Cloud Computing”

Method Used: This dissertation employs a quantitative approach to examine the impact of different encryption algorithms on data protection in cloud computing. The study involves conducting experiments using various encryption algorithms and analyzing the results.

Sample: The sample for this study consists of 300 participants who are using cloud services for data storage and retrieval. The participants are selected using a random sampling method from different organizations that use cloud computing.

Population Chosen: The target population for this study includes individuals and organizations that utilize cloud computing for data storage and retrieval.

Survey or Set of Questions: A survey instrument is utilized in this study to collect data from the participants. The survey includes questions related to the participants’ experience with cloud computing, their understanding of encryption algorithms, and their perceptions of data protection in the cloud.

Research Problem: The main problem addressed in this dissertation is to determine the impact of encryption algorithms on data protection in cloud computing. The study aims to analyze the effectiveness of different algorithms in safeguarding data stored in the cloud and to identify any vulnerabilities or weaknesses in the existing encryption methods.

2) Qualitative Dissertation:
Title: “Perceptions of Data Sharing Among Cloud Service Providers: A Qualitative Study”

Method Used: This dissertation employs a qualitative approach to investigate the perceptions of data sharing among cloud service providers. The study involves in-depth interviews with key stakeholders in the cloud service industry to gain insights into their perspectives and attitudes towards data sharing.

Sample: The sample for this study includes 15 cloud service providers from various organizations. The participants are purposefully selected based on their expertise and involvement in data sharing practices within the cloud computing industry.

Population Chosen: The target population for this study comprises cloud service providers who are responsible for managing and facilitating data storage and sharing in the cloud environment.

Set of Questions: The qualitative research design of this dissertation involves conducting in-depth interviews using a set of open-ended questions. The questions explore the participants’ perceptions of data sharing, the challenges they encounter, and their suggestions for improving data protection in the cloud.

Research Problem: The research problem addressed in this dissertation is to understand the perceptions and experiences of cloud service providers regarding data sharing. The study aims to uncover the challenges faced by these providers in managing data sharing in the cloud and to identify potential strategies to enhance data protection and information sharing practices.

3) Mixed-Method Dissertation:
Title: “Examining the Relationship Between Data Encryption and Information Sharing in Cloud Computing: A Mixed-Methods Approach”

Method Used: This dissertation employs a mixed-method approach, combining quantitative and qualitative methods, to examine the relationship between data encryption and information sharing in cloud computing. The study involves quantitative data collection and analysis, followed by qualitative interviews to gain a deeper understanding of the quantitative findings.

Sample: The sample for the quantitative phase of this study consists of 200 cloud service users who are selected using a random sampling method. The qualitative phase of the study involves interviewing 20 participants selected from the quantitative sample.

Population Chosen: The target population for this study includes individuals and organizations using cloud computing services.

Survey or Set of Questions: In the quantitative phase, a survey instrument is employed to collect data regarding the participants’ experiences with data encryption and information sharing in the cloud. The qualitative phase involves conducting semi-structured interviews using a set of open-ended questions to explore participants’ perspectives and experiences in more depth.

Research Problem: The research problem of this dissertation is to explore the relationship between data encryption and information sharing in the cloud computing environment. The study aims to investigate whether the use of encryption techniques influences information sharing practices and to identify factors that impact the adoption of encryption methods in the cloud.

In conclusion, these three dissertations provide insights into the methodologies used, samples and populations chosen, and the research problems they seek to address in the field of data protection and information sharing in cloud computing. From a quantitative approach examining encryption algorithms, a qualitative exploration of perceptions among cloud service providers, to a mixed-method investigation of the relationship between encryption and information sharing, these dissertations contribute to the existing literature and offer valuable insights for further research in this domain.