Quantitative Data: this data is numerical and can be statistically analyzed such as demographics, frequency of behaviors, rating and scales, and counts.

Qualitative Data: this data is non-numerical and provides descriptive insights such as open-ended responses, textual feedback, and categorical data.

Data that cannot be effectively collected from surveys-

In-depth Understand of Complex Issues: exploring complex or nuanced topics that require in-depth probing.

Direct Observation of Behavior: surveys rely on self-reporting, which can be subject to biases.

Casual Relationships: identify correlations between variable, but establishing causation is difficult without experimental designs

Unconscious Motivators: may not be able to uncover unconscious motivations or deeply held beliefs that respondents are unaware of or unwilling to reveal

Study: Public Attitudes Toward Artificial Intelligence: Awareness, Concerns, and Trust

https://www.brookings.edu/research/public-attitudes-toward-artificial-intelligence-awareness-concerns-and-trust/%5D(https://www.brookings.edu/research/public-attitudes-toward-artificial-intelligence-awareness-concerns-and-trust/)

Summary: This study, published by the Brookings Institution, explores public perceptions of artificial intelligence (AI) in the United States. It examines the level of public awareness about AI, concerns related to its development and use, and the degree of trust in AI technologies and the organizations that develop them. The survey also investigates how these attitudes vary across different demographic groups.

Survey Methodology: The study was conducted using an online survey of a nationally representative sample of U.S. adults. The survey included a mix of multiple-choice questions, Likert-scale questions, and open-ended questions. The sample was weighted to match the U.S. population in terms of age, gender, race/ethnicity, education, and geographic region.

Validity of Conclusions: The conclusions drawn in the study appear to be reasonably valid, given the methodology employed. The use of a nationally representative sample and weighting techniques enhances the generalizability of the findings. The survey questions were designed to measure specific attitudes and concerns related to AI, and the analysis was conducted using appropriate statistical methods.