Nayha Wrote: Top Earners Might Favor Policies To Redistribut ✓ Solved

Nayha Wrotetop Earners Might Favor Policies To Redistribute Income Be

Describe communication processes and the importance of such when conducting applied research. (Words)

Describe four communication methods that you may consider using in relation to applied research. (Words)

Explain three data collection methods. Include at least one manual method, as well as one method that uses technology and one method that uses technology services. (Words)

Explain three data analysis methods. Include at least one manual method, as well as one method that uses technology and one method that uses technology services. (Words)

Explain legal requirements that apply to the handling and storing of data when conducting research. (Words)

Explain legal requirements that apply to privacy of data when conducting research. (Words)

Explain legal requirements that apply to freedom of information when conducting research. (Words)

Explain the key steps in the applied research process that may be referred to in policies, procedures and guidelines relating to applied research. (Words)

Describe three presentation techniques that could be used for applied research. (Words)

Describe two ways of reporting on research. (Words)

Explain the concept of research ethics. (Words)

Review the following Code of Conduct and summarise in your own words the key principles of responsible research: (Words)

Outline three examples of applied research tools and how they are applied during research. (Words)

Give three examples of applied research methods and outline how they are applied during research. (Words)

Sample Paper For Above instruction

Applied research is a systematic investigation aimed at discovering and interpreting facts relevant to a specific problem or issue. Effective communication is fundamental throughout the research process, ensuring that findings are accurately conveyed among stakeholders, including researchers, participants, and policymakers. Communication processes such as written reports, verbal presentations, and digital platforms facilitate information sharing, foster collaboration, and promote transparency, which are essential for the credibility and dissemination of research outcomes (Silver et al., 2020).

There are numerous communication methods applicable to applied research. The first is formal reporting, which involves detailed written documents like research papers or policy briefs. This method ensures comprehensive dissemination of findings and methodologies. The second method is presentations, including oral delivery via conferences or seminars, allowing researchers to clarify complex information and engage with audiences directly (Keshavarz et al., 2018). The third method is digital communication through emails, webinars, and social media platforms, which enable rapid sharing of ideas and feedback loops. Finally, informal methods such as discussions and workshops can also facilitate collaborative interpretation and application of research results.

Data collection is a critical phase in applied research, and various methods can be employed. Manual methods include administering paper-based surveys or conducting face-to-face interviews, which are especially useful in settings with limited technological access. Technology-assisted methods encompass online surveys via platforms like SurveyMonkey or Google Forms, which facilitate rapid data gathering from large populations. Additionally, electronic data collection tools such as mobile apps or digital sensors gather real-time data efficiently (Creswell & Poth, 2018). Using technology services, researchers can also leverage cloud storage solutions like Dropbox or Google Drive for secure data storage, thereby ensuring data integrity and accessibility for analysis.

Analyzing data involves multiple approaches tailored to the research objectives. Manual analysis entails coding qualitative data manually or using spreadsheet software like Excel to quantify responses, which is suitable for small datasets. Digital analysis methods include statistical software like SPSS or NVivo, which can handle complex datasets and perform sophisticated analyses rapidly. Advanced data analytics involve machine learning algorithms and artificial intelligence tools that uncover patterns and predictive insights from large data volumes (Berk, 2020). Utilizing these technological tools enhances the accuracy and efficiency of data interpretation, enabling more informed conclusions.

Legal considerations in data handling demand strict adherence to regulations such as the General Data Protection Regulation (GDPR) or sector-specific privacy laws. These require researchers to obtain informed consent, anonymize data where possible, and secure storage of sensitive information to prevent unauthorized access (Regulations.gov, 2022). Proper data handling also involves maintaining detailed records of permissions, data usage, and secure deletion protocols to comply with legal standards.

Protection of data privacy is paramount in research. Legal requirements include ensuring participants’ confidentiality, using data solely for stated purposes, and implementing security measures such as encryption and restricted access (Lindsay & Ritchie, 2020). Researchers must also inform participants of their rights to withdraw and how their data will be used, respecting privacy laws applicable in different jurisdictions.

The principle of freedom of information (FOI) entitles the public and stakeholders to access government-held information, including research data, subject to specific exemptions. Legal frameworks like the Freedom of Information Act stipulate procedures for requesting information and stipulate its release unless prohibited by national security, privacy, or confidentiality laws. Researchers involved in publicly funded projects may need to prepare for data disclosures aligned with FOI regulations (Information Commissioner’s Office, 2021).

The steps in the applied research process include defining the research problem, reviewing existing literature, designing the methodology, collecting data, analyzing results, and reporting findings. Policies and procedures guide adherence to ethical standards, methodological rigor, and data management best practices. These steps ensure that research is systematic, replicable, and aligned with organizational or institutional standards.

Research findings can be presented through various techniques. Visual presentations such as graphs, charts, and infographics make complex data more accessible to diverse audiences. Narrative storytelling, supported by slide decks or posters, can effectively communicate key messages, especially in conferences or community meetings. Interactive techniques like Q&A sessions or workshops foster engagement and deeper understanding among stakeholders.

Reporting research results can take multiple forms. Formal reports, including comprehensive written documents, are suitable for academic or policy audiences. Executive summaries distill key insights for quick reference by decision-makers. Digital platforms such as webinars or online dashboards also serve as effective reporting tools, providing dynamic and accessible ways to share findings (Brouwer et al., 2019).

Research ethics revolve around principles such as honesty, integrity, respect for participants, and responsible conduct. Ethical research protects participants from harm, ensures confidentiality, and promotes transparency in data collection and reporting. Adhering to ethical standards sustains the credibility of research and aligns with professional codes such as the American Psychological Association’s Ethical Principles (American Psychological Association, 2017).

The Code of Conduct emphasizes principles like integrity, accountability, respect, and transparency. Responsible research involves honesty in data collection, acknowledgment of sources, avoiding conflicts of interest, and ensuring that findings are not manipulated. It advocates for respectful treatment of participants and responsible dissemination of results, fostering trust in research activities.

Applied research tools include surveys, interviews, and observation checklists. Surveys facilitate quantitative data collection across large populations; their design impacts data quality significantly. In-depth interviews yield qualitative insights, providing context-rich information. Observation tools enable real-time data collection in natural settings, capturing behaviors that may be difficult to articulate (Patton, 2015). These tools support researchers in gathering comprehensive data aligned with research objectives.

Applied research methods encompass case studies, experimental designs, and ethnographic studies. Case studies provide detailed analysis of specific instances, offering insights into complex phenomena. Experiments, including randomized controlled trials, establish causal relationships through controlled testing. Ethnography involves immersive observation and participation in a community or setting, yielding rich contextual understanding. These methods are applied during research at different stages, from planning to data collection and analysis, according to research goals.

References

• American Psychological Association. (2017). Ethical Principles of Psychologists and Code of Conduct. APA.
• Berk, R. A. (2020). An Introduction to Data Science. CRC Press.
• Brouwer, J., et al. (2019). Effective Data Presentation Techniques in Research. Journal of Data Visualization, 27(3), 245–259.
• Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry & Research Design: Choosing Among Five Approaches. SAGE Publications.
• Higgins, M., & Lustig, N. (2016). Taxation and Poverty in Developing Countries. Development Economics Review, 33(2), 150–167.
• Keshavarz, N., et al. (2018). Communication Strategies in Research Dissemination. Research Communication, 4(1), 23–35.
• Lindsay, S., & Ritchie, R. (2020). Data Privacy and Security in Research. Journal of Data Protection, 12(4), 210–225.
• Regulations.gov. (2022). General Data Protection Regulation (GDPR). U.S. Department of Commerce.
• Silver, C., et al. (2020). Qualitative Data Analysis: Practical Strategies. SAGE Publications.
• Patton, M. Q. (2015). Qualitative Research & Evaluation Methods. SAGE Publications.