Asking poe to organize the dissertation report section of research methodology: for Housing Studies students

Asking poe to organize the dissertation report section of research methodology: for Housing Studies students (information from poe.com)

{the information is extracted from the assignment sample 1 studied in my Housing Studies workshop on research methods}

My question: "I am a Housing Studies student, currently writing up my research methods assignment. My assignment covers the following introductory information: "

Research Issues Statements

Impact of COVID-19 on Housing Affordability: The COVID-19 pandemic has exacerbated existing housing affordability challenges in Hong Kong, creating a pressing need to analyze its specific impacts on various income groups.

Economic Disruption and Market Trends: The pandemic has disrupted economic stability in Hong Kong, necessitating a comprehensive examination of its effects on housing prices and rental rates across the region.

Policy Response Effectiveness: There is a critical gap in understanding the effectiveness of current policy responses to the housing affordability crisis worsened by the pandemic in Hong Kong.

Research Objective Statements

Analyze Housing Market Trends: To systematically analyze the shifts in housing prices and rental rates in Hong Kong during the COVID-19 pandemic, with a focus on the implications for housing affordability.

Examine Income Disparities: To investigate how the pandemic has uniquely affected housing affordability for different income groups, particularly low-income families and the middle class.

Propose Policy Interventions: To develop targeted policy recommendations aimed at alleviating the economic and housing-related burdens faced by residents in Hong Kong as a result of the pandemic.

Research Question Statements

What are the Key Trends?: What key trends in housing prices and rental rates have emerged in Hong Kong as a consequence of the COVID-19 pandemic?

How are Different Income Groups Affected?: How has the pandemic impacted housing affordability differently across various income groups in Hong Kong?

What Policy Measures are Effective?: Which policy measures have been implemented in response to the housing affordability crisis during the pandemic, and how effective have they been in addressing the needs of residents?"

Given the project background above, I need your help to organize the methodology design of my report, which is, at present, quite disorganized and messing. It is as follows:

-- beginning of quote --

"Research Questions and Methodology: Research Question The primary research question addressed in this study is: "What specific impacts has the COVID-19 pandemic had on housing affordability in Hong Kong, and how have these changes manifested across different income groups?" Methodology Quantitative Analysis: To investigate the impacts of the COVID-19 pandemic on housing affordability, this study employed a quantitative analysis approach, examining a range of economic indicators. A longitudinal analysis was conducted, utilizing housing price indices, median income rates, and unemployment rates gathered from the Hong Kong Census and Statistics Department (C&SD). This data spanned from January 2019 to December 2022, providing a critical comparative view of the period before and during the pandemic. The econometric analysis was performed using regression models in SPSS software, which facilitated the exploration of the relationship between the economic consequences of the pandemic and shifts in housing affordability.

Qualitative Analysis: In conjunction with the quantitative approach, the study embraced a qualitative research methodology to capture the lived experiences and perceptions regarding housing affordability among different income groups in Hong Kong. This methodology involved conducting semi-structured interviews with a purposively sampled cohort of residents across varying income levels. The sample included individuals facing housing affordability challenges, policy experts, and representatives from housing rights organizations. The interviews were designed to elicit detailed narratives that qualitative data analysis software NVivo could then systematically code and analyze, allowing for the identification and interpretation of emergent themes. Implementation The quantitative data collection faced initial delays due to the slow release of updated statistics from government sources. This hurdle was addressed by engaging in direct correspondence with the C&SD, which resulted in expedited access to the necessary data. The qualitative interviews, which were originally planned to be in-person, had to be reconfigured for an online environment due to the pandemic's social distancing measures. This was effectively executed using secure video conferencing platforms, ensuring broad and safe participation. Problems Encountered One of the study's challenges was the inherent delay in data availability, which posed a risk to the project's timeliness. Another significant issue was the potential for reduced richness in data from online interviews, which can sometimes lack the depth of in-person interactions. Overcoming Problems To mitigate the issue of delayed data, persistent engagement with the C&SD proved fruitful, allowing for a more timely analysis. The qualitative interviews were carefully structured to foster an environment conducive to open and detailed discussion. Pre-interview orientations were provided to ensure that participants were comfortable with the technology and the interview process, thereby enhancing the quality of the data collected."

--end of quote --

Try to use this simple content structure to organize the draft on the methodology and research questions above:

1. A brief overview of the research methodology, covering the research philosophy used, the research approaches used (both on reasoning [inductive or deductive?] and methods [qualitative, quantitative or mixed methods research?]), and how the methodology is related to the research objectives and research questions
2. A brief description of the research methods (primary and secondary research), covering the data gathering and data analysis tasks of each of the research methods).
3. A brief description of the sequence of tasks performed under the overall research methodology."

The reply: "Here’s a structured organization of your methodology design based on the content you provided:

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Methodology Design

1. Overview of the Research Methodology

This study adopts a pragmatic research philosophy, aiming to explore the multi-faceted impacts of the COVID-19 pandemic on housing affordability in Hong Kong. The research employs a mixed methods approach, combining both quantitative and qualitative methodologies.

• Quantitative Approach: This deductive reasoning method allows for the systematic examination of housing market trends through statistical analysis.
• Qualitative Approach: This inductive reasoning method captures the lived experiences of various income groups, providing depth to the quantitative findings.

The chosen methodology directly aligns with the research objectives of analyzing housing market trends, examining income disparities, and proposing policy interventions, thereby addressing the research questions regarding the specific impacts of the pandemic.

2. Description of Research Methods

Primary Research

• Quantitative Analysis:

  • Data Gathering: Economic indicators such as housing price indices, median income rates, and unemployment rates were sourced from the Hong Kong Census and Statistics Department (C&SD) for the period from January 2019 to December 2022.
  • Data Analysis: An econometric analysis was performed using regression models in SPSS software to explore the relationship between the pandemic's economic consequences and housing affordability shifts.

• Qualitative Analysis:

  • Data Gathering: Semi-structured interviews were conducted with a purposively sampled cohort of residents from different income levels, including individuals facing housing challenges and policy experts.
  • Data Analysis: The qualitative data was coded and analyzed using NVivo software, facilitating the identification of emergent themes related to housing affordability.

Secondary Research

Secondary data was utilized to complement the primary research findings, involving a review of existing literature on housing affordability and economic trends during the pandemic.

3. Sequence of Tasks Performed

1. Data Collection:

   • Initiated quantitative data collection from the C&SD and addressed delays through direct correspondence.
   • Conducted qualitative interviews, transitioning from in-person to online formats due to pandemic restrictions.

2. Data Analysis:

   • Analyzed quantitative data using regression models in SPSS.
   • Systematically coded and interpreted qualitative data through NVivo to extract themes related to housing affordability.

3. Validation and Interpretation:

   • Combined insights from both quantitative and qualitative analyses to validate findings and enhance the understanding of housing affordability issues.

4. Reporting:

   • Compiled results and formulated policy recommendations based on the integrated analysis of both data types.

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This structured approach should help clarify your methodology and align it closely with your research objectives and questions."

Note: 

(1) the gathering of economic indicators from the Internet is still a kind of secondary research method; using secondary data from academic articles is again a kind of secondary research method.

(2) Do treat the answer from poe.com as a draft prototype; you need to review and refine it further to more clearly capture your proposal ideas and reasoning.

(3). The discussion can be further clarified with a summary table as follows:

A summary table on the overall research methodology

(4) An additional column on the summary table showing timeline information is also useful.

Timeline

Week 1: ...

Week 2: ...

Week 3: ...

Week 4: ...

 

A collection of blog notes on using chatgpt for research purpose.