Research Strategy 1: Teachers' Comments And Feedback

RESEARCH STRATEGY 1 TEACHERS COMMENTS Comments Feedback to Learner 8/14/20 8:51 PM Thanks, for resubmitting your assignment. Please see the rubric evaluation below for feedback on how to improve your grade. Methodology / 2 [C] - Basic explanation of research methodology, strategy, and purpose for the selected research question. // Incorporated some research to justify these choices. Research Steps / 2 [C] - Basic identification of the steps needed to follow this strategy and considerations. Data Collection / 2 [C] - Basic explanation of each of the following data collection elements: 1) data types; 2) data source(s); 3) data analysis; and 4) interpretation plan. APA Formatting / 3 [B] - Minimal errors or omissions in APA formatting. Always be sure to follow the instructions in the APA Guide exactly. Comparing your work with the sample paper should help you identify errors. Remember that the college has adopted the 7th edition of the APA handbook, so be sure to review the updated APA Guide for changes. Communication / 3 [B] - Spelling and grammar errors are rare and do not distract the reader from the messages. Using Grammarly can help you find and fix common errors, but careful proofreading might be sufficient. Remember to avoid first and second person pronouns. Additional Comments: You’ve made some changes, but the don’t really address the deficiencies of the earlier submission. While you’ve defined some terms, what you need to do is provide examples of how you will use the tools of a particular strategy. Remember that your overall grade is the lowest grade on any of the individual criteria. You must earn at least a 2 [C] on every criterion to pass the assignment. Reach out to Dr. Gulbrandsen if you have any questions. If resubmitting, please be sure to highlight your changes. Research is very important in any field of study one undertakes. It enables one to gather the necessary information in one's field of study; it helps one to find the root course of in-built problems in a process or a project that seems difficult to discover, also, research helps in improving the standards of living of individuals as it is through research that we are able to invent and make new discoveries hence creating jobs opportunities of income-generating activities. As for me, having research and writing as my career, I must develop research skills at the end of my course in order to make changes in the lives of individuals and the society that I live in. Also, this course is going to help me to develop and improve my skills in reading and critical evaluation, data collection skills, and research methodologies. I have been requested by my professor to develop a research strategy, a research question, and a methodology for my research paper. This is going to help me develop my research skills. My research question on this research project would be, how do the economic, political, and social factors affect homelessness patterns in San Francisco? In this research, I will use a mixed-method research design. Mixed method research design is a research approach that focuses on research questions that real-life contextual understanding, multilevel perspective, and cultural influences (Schoonenboom 2017). Mixed research methodology employs rigorous quantitative research assessing the magnitude and frequency of constructs, and rigorous qualitative research exploring the meaning and understanding of constructs. For these reasons, my research will use the mixed design methodology since my objectives shall involve the description of subjective individual experiences. Also, I would be required to interpret meanings, understand the concepts, and every data that is aligned to research the homelessness in San Francisco. The flexibility of qualitative research designs makes them so crucial in this project as they give me an opportunity to justify my approach according to my findings during the research process. Qualitative research is a kind of research that uses unstructured and non-numerical data. The data is qualitative research only includes the field notes which are written by the researcher during the course of his observations, interviews, questionnaires, and focus groups. For this research, I am going to rely on unstructured data as I will be using observations on the people of San Francisco, a qualitative research method will be the most appropriate here. For instance, understanding the extent to which economic, political, and social factors have affected the homeless people in San Francisco, the qualitative research design is appropriate for this research. Also, I will make use of the quantitative research design to answer my research questions as this project will require me to measure variables, to test hypothesis and correlation. The quantitative research design involves an empirical investigation of the observable phenomenon via statistical or computational techniques. The key aim of quantitative research is to develop and employ mathematical models, theories, and hypotheses pertaining to phenomena (Rahi 2017). This makes this quantitative design useful for me in measuring the variables of this research. By use of the qualitative method, I will collect qualitative data. This would include collecting information on the race of the people of San Francisco affected economically, their ethnic background, in order to know if these are some of the factors leading economic and social challenges to the homeless people in San Francisco. (Leavy, 2017) I would collect quantitative data by counting the number of homeless people affected by economic, social, and political factors in San Francisco. In data collection techniques, I will use interviews. Interviews will be the most appropriate technique to be used in this research, as it will enable me to get firsthand information. I will also employ the observation method. This will enable me to see directly hoe homeless people of San Francisco are suffering economically, socially, and politically. I would also employ focus groups where people of different locations will be grouped together and discuss with them the issues affecting the Homeless people of San Francisco economically, socially, and politically. In this research, I will employ the use of a statistical package for the social sciences (SPSS). This is the appropriate tool for data analysis in this research as it will enable me to analyze the data collected in a proper way. (Avella 2016) After data analysis, the interpretation of the data will be presented in graphs and tables. For qualitative data, I will ensure there is tracking the occurrence of words used. References. Schoonenboom, J., & Johnson, R. B. (2017). How to construct a mixed methods research design. KZfSS Kà¶lner Zeitschrift fà¼r Soziologie und Sozialpsychologie , 69 (2), . Rahi, S. (2017). Research design and methods: A systematic review of research paradigms, sampling issues, and instrument development. International Journal of Economics & Management Sciences , 6 (2), 1-5. Leavy, P. (2017). Research design: Quantitative, qualitative, mixed methods, arts-based, and community-based participatory research approaches . Guilford Publications. Avella, J. R. (2016). Delphi panels: Research design, procedures, advantages, and challenges. International Journal of Doctoral Studies , 11 (1), . References Mikkelsen, M. F., Jacobsen, C. B., & Andersen, L. B. (2017). Managing employee motivation: Exploring the connections between managers’ enforcement actions, employee perceptions, and employee intrinsic motivation. International Public Management Journal , 20 (2), . Antoni, C. H., Baeten, X., Perkins, S. J., Shaw, J. D., & Vartiainen, M. (2017). Reward management: Linking employee motivation and organizational performance.

Paper For Above instruction

The development of a comprehensive research strategy is essential in conducting effective and meaningful research. This process involves selecting an appropriate methodology aligned with the research question and objectives, outlining the necessary steps to execute the strategy, and determining suitable methods for data collection, analysis, and interpretation. The chosen research question for this project explores how economic, political, and social factors influence homelessness patterns in San Francisco. To address this question, I have selected a mixed-method research design, which combines both qualitative and quantitative approaches to capture a complete picture of the multifaceted issue of homelessness in the city.

Firstly, justifying the choice of a mixed-method approach, it allows for in-depth exploration of subjective experiences and perceptions through qualitative data, while also providing measurable and quantifiable evidence via quantitative data. This dual approach is particularly beneficial in understanding complex social phenomena, such as homelessness, which are influenced by diverse factors and involve both individual and systemic perspectives (Creswell, 2014). The qualitative component will involve unstructured data collection methods such as observations, interviews, and focus groups, aimed at understanding personal experiences and social dynamics among the homeless population in San Francisco. For example, through observations, I will document the socioeconomic conditions and interactions, while interviews will gather personal narratives regarding economic hardship, political neglect, or social stigmatization.

On the quantitative side, data collection will include counting the number of homeless individuals affected by specific economic, political, and social factors, and measuring variables such as race, ethnicity, and duration of homelessness. Quantitative data will also be collected through structured questionnaires designed to test hypotheses about the relationships between identified factors and homelessness patterns. This numerical data will allow for statistical analysis to identify correlations and patterns that might not be visible through qualitative insights alone (Babbie, 2016).

Data collection techniques will encompass interviews, direct observation, and focus groups, each serving distinct purposes. Interviews will provide first-hand accounts from homeless individuals, service providers, and community members, revealing both micro and macro-level influences. Observations will enable me to capture real-time social interactions and environmental conditions, while focus groups will facilitate discussions among diverse community stakeholders to explore collective perceptions and concerns about homelessness causes and solutions.

For data analysis, I will utilize the Statistical Package for the Social Sciences (SPSS), a powerful tool for managing and analyzing quantitative data. SPSS will facilitate the computation of descriptive statistics, hypothesis testing, and correlation analyses, helping to uncover significant relationships among variables (Field, 2013). For qualitative data, content analysis will be employed to identify recurring themes and patterns, tracking the frequency of specific words or concepts, which can then be contextualized to inform the broader understanding of homelessness dynamics (Hsieh & Shannon, 2005).

Interpreting the data will involve contextualizing the findings within existing literature and social theories related to homelessness. Graphs and tables will visually depict quantitative relationships, while qualitative themes will be summarized narratively. Through this approach, the research aims to provide comprehensive insights into how different factors interplay to shape homelessness in San Francisco, thereby informing policy recommendations and intervention strategies.

References

• Babbie, E. (2016). The practice of social research. Cengage Learning.
• Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
• Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.
• Hsieh, H-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative health research, 15(9), 1277-1288.
• Leavy, P. (2017). Research design: Quantitative, qualitative, mixed methods, arts-based, and community-based participatory research approaches. Guilford Publications.
• Rahi, S. (2017). Research design and methods: A systematic review of research paradigms, sampling issues, and instrument development. International Journal of Economics & Management Sciences, 6(2), 1-5.
• Schoonenboom, J., & Johnson, R. B. (2017). How to construct a mixed methods research design. KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie, 69(2).
• Shannon, S. E., & Hsieh, H-F. (2010). Three approaches to qualitative content analysis. In S. E. Shannon & H. F. Hsieh (Eds.), Three approaches to qualitative content analysis (pp. 1-29). Sage Publications.
• Vasileiou, K., Barnett, J., Thorpe, S., & Young, T. (2018). Characterising and justifying sample size in interview-based studies: Systematic English literature review. BMC medical research methodology, 18(1), 1-18.
• Yin, R. K. (2018). Case study research and applications: Design and methods. Sage publications.