A brief teaching note on online observational research (information from perplexity.ai)
My question 1: "Briefly highlight 9 unique characteristics, notably on the quality of result results, of online observational research in Business Management and Housing Studies research projects."
The reply: "Online observational research in Business Management and Housing Studies has several unique characteristics, particularly regarding the quality of results:
Real-time behavior insights: Observational research captures consumer or participant behavior in natural settings, allowing for more accurate, spontaneous insights than self-reported data.
Reduction of biases: Since subjects often are unaware of being observed, bias from self-reporting or social desirability is minimized, improving the objectivity of data.
Elimination of sampling errors: Observations can sometimes cover entire populations or contexts without relying on sampling, reducing errors from sample bias.
Access to non-verbal and unconscious behavior: Researchers can record behaviors, eye movements, and interactions that participants may not be aware of or able to verbalize, especially in housing and consumer behavior contexts.
Qualitative depth: Observation can reveal subtle contextual and environmental factors influencing decisions, adding richness to the data.
Potential observer influence: Presence of the observer may alter behavior, which is a limitation on result purity.
Time and resource intensive: Observational studies require careful planning and often lengthy periods to gather meaningful data, which can impact the breadth and timeliness of results.
Ethical and consent considerations: Obtaining informed consent and minimizing stress during observations can affect participation and data integrity.
Multisensory data collection: Observational data can include visual, auditory, and even tactile stimuli, providing a holistic understanding of phenomena relevant in both business and housing contexts.
These features collectively influence the quality, accuracy, and applicability of results in online observational research across Business Management and Housing Studies domains.
Hence, results tend to be context-rich, less biased, and suitable for understanding real-world behaviors, but require careful design to mitigate observer effects and ethical concerns."
My question 2: "Suggest 4 useful preparations that a researcher-observer should make for the conduct of an online observational research."
The reply: "Four useful preparations that a researcher-observer should make for conducting online observational research are:
Planning the observation protocol thoroughly, including defining the research objectives, deciding what to observe, when, and how to record data systematically. This protocol should also clarify the type of observation—structured or unstructured, participant or non-participant—to fit the study goals.
Ensuring ethical compliance by obtaining necessary permissions and informed consents from participants where applicable, understanding privacy settings on online platforms, and planning how to handle non-consenters, particularly mindful of data protection in digital environments.
Preparing and testing all technological tools needed for data collection, such as observation schedules, screen recording software, and data storage systems, to avoid technical failures during the study. This preparation ensures smooth implementation and reliable recording.
Developing skills and strategies to minimize observation bias and to remain unobtrusive, including investing time in becoming comfortable with the online environment and observation methods, and planning contingencies in case the original observation plan needs adjustment.
Together, these steps help enhance the quality, reliability, and ethical integrity of online observational research in business management and housing studies contexts."
A collection of blog notes on using chatgpt for research purpose.
No comments:
Post a Comment