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Affordable Housing in the United States

             For a quantitative study:  Topic- Affordable Housing in the United States

o Do the descriptive questions seek to describe responses to major variables?,
o Do the inferential questions seek to compare groups or relate variables?,
o Do the inferential questions follow from a theory?,
o Are the variables positioned consistently from independent to dependent in the
inferential questions?,
o Describe the data source – What instrument used? How is the sample selected?
What is the scale of measurement? What statistical tool is used for analysis?
o What research design was used and how were the results analyzed?
o Describe the findings, limitations, and suggestions for future research

  • Affordable Housing in the United State

Topic- Affordable Housing in the United States

 

 

Title: Housing Affordability Trends

🔹 Descriptive Questions

Yes, the descriptive questions aim to illustrate key variables such as:

  • What proportion of U.S. households are housing cost-burdened (spending >30% of income on housing)?

  • What are the demographics of those applying for affordable housing?

  • How does housing waitlist length vary by state or city?

These help quantify the scope and distribution of the affordable housing issue.

🔹 Inferential Questions

Yes, inferential questions are used to compare and relate variables:

  • Does income level predict housing cost burden?

  • Is there a significant difference in housing access between urban and rural residents?

  • How does education level correlate with access to subsidized housing?

These allow for statistical analysis of relationships and group comparisons.

🔹 Theory Connection

Yes, questions are grounded in Housing Affordability Theory and Urban Spatial Theory, which address systemic economic and geographic influences on housing access.

🔹 Variable Positioning

Variables are consistently positioned:

  • Independent: income, location, race, education

  • Dependent: cost burden, housing access, waitlist time

🔹 Data Source & Measurement

Affordable Housing in the United States

  • Instrument: Online survey and secondary data from HUD and the American Housing Survey

  • Sampling: Stratified random sample of 1,000 U.S. households by income and region

  • Measurement Scales:

    • Nominal (e.g., region)

    • Ordinal (e.g., income brackets)

    • Ratio (e.g., percentage of income spent on rent)

  • Statistical Tools: SPSS; t-tests, chi-square, regression, correlation analysis

🔹 Research Design & Analysis

  • Design: Cross-sectional survey design with mixed-methods support

  • Analysis: Descriptive stats to summarize; inferential stats to test hypotheses and relationships

🔹 Findings, Limitations, and Future Research

  • Findings:

    • Lower-income and minority groups experience higher housing burdens

    • Urban residents face longer waitlists

    • Income and education predict access to assistance programs

  • Limitations:Affordable Housing in the United States

    • Self-report bias

    • Limited regional diversity

    • Lack of longitudinal data

  • Future Research:

    • Longitudinal studies

    • Regional case studies

    • Impact of recent housing policy shifts

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Affordable Housing in the United States
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