Affordable Housing Analysis

Affordable Housing Analysis

Affordable Housing Analysis

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 Analysis

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APA

Affordable Housing Analysis

Descriptive Questions: Yes, the descriptive questions aim to describe responses to major variables such as household income, the availability of affordable housing, and demographic characteristics (age, race, family size). These variables help provide an overview of the state of affordable housing in the U.S., including how widespread the issue is and which groups are most affected by it.

Inferential Questions: Yes, the inferential questions are designed to compare groups (e.g., income levels or geographic regions) or relate variables (e.g., the relationship between income and access to affordable housing, or the impact of housing policies on housing affordability). For example, an inferential question could be, “Is there a significant difference in the availability of affordable housing between urban and rural areas?”

Do the Inferential Questions Follow from a Theory? Yes, the inferential questions follow from established theories in housing economics, urban studies, and social inequality. Theories such as the “Housing Market Segmentation Theory” or “Economic Theory of Housing” can provide a framework for understanding how affordability issues differ across socioeconomic groups or regions.

Positioning of Variables from Independent to Dependent: The variables are positioned consistently from independent to dependent in the inferential questions. For example, income and housing policies are independent variables, while the availability of affordable housing or quality of life in different areas can be treated as dependent variables. This relationship helps identify the causal influence of these independent variables on housing affordability.

Data Source, Instrument, and Sample Selection:

  • Data Source: The data source could include national surveys, such as the U.S. Census Bureau’s American Community Survey (ACS), the Department of Housing and Urban Development (HUD), and other governmental or nonprofit organizations tracking housing data.

  • Instrument Used: The survey instrument could be questionnaires that assess factors like income, housing cost, demographic details, and housing quality. Additionally, secondary data from government reports or databases would be used.

  • Sample Selection: The sample would be selected using a…