Asking chatgpt to explain triangulation by multiple research methods with regard to the field of Housing Studies.

Asking chatgpt (accessed via poe.com) to explain triangulation by multiple research methods with regard to the field of Housing Studies.

My question is: "I am a part-time Housing Studies student, currently learning the subject of Research Methods. To do my Research Methods assignment, I am going to use structured observation and narrative interview to learn the lived experience of rough sleepers in Sham Shui Po, Hong Kong. My question is: could you tell me the main ideas of triangulation by multiple research methods in the context of my assignment topic?"

The reply from chatgpt is: "Triangulation in research refers to the use of multiple methods or data sources to enhance the validity and reliability of findings. In the context of your assignment on the lived experiences of rough sleepers in Sham Shui Po, here are the main ideas of triangulation through structured observation and narrative interviews:

1. Comprehensive Understanding

Structured Observation: This method allows you to systematically observe behaviors, interactions, and the environment of rough sleepers. You can gather quantitative data (e.g., the number of individuals in specific locations, types of interactions) that provide a baseline understanding.

Narrative Interviews: This qualitative approach enables you to capture personal stories, emotions, and insights from rough sleepers. It enriches your findings by providing depth and context to the observed behaviors.

2. Validation of Findings

By comparing insights gained from structured observations with those from narrative interviews, you can confirm or challenge your findings. For instance, if observations suggest a particular trend (e.g., social isolation), narratives can reveal the underlying reasons or sentiments associated with that trend.

3. Contextualization

Observations can highlight situational factors affecting rough sleepers (e.g., time of day, location dynamics), while interviews can provide personal context and meaning behind those situations. This helps to create a fuller picture of their lived experiences.

4. Identifying Patterns and Themes

Using both methods can help identify recurring themes or discrepancies. For example, if structured observations indicate frequent interactions among rough sleepers, interviews might reveal differing perspectives on whether these interactions are supportive or competitive.

5. Improved Reliability

Triangulating data from different methods can reduce biases inherent in any single method. For example, if your observations are limited by what you can see, interviews can offer insights that might not be visible but are crucial for understanding the complexities of rough sleeping.

6. Flexibility in Research Design

Combining structured observation with narrative interviews allows you to adapt your research approach based on initial findings. If observations reveal unexpected behaviors, you can tailor your interview questions to explore those areas further.

By applying triangulation in your research, you'll be able to provide a richer, more nuanced understanding of the experiences of rough sleepers in Sham Shui Po, ultimately leading to more robust conclusions and recommendations for addressing their needs."

Reference: a collection of blog notes on using chatgpt for research purpose.