Self-reports are an example of which type of data collection method?

Self-reports are indeed categorized as subjective quantitative measures. This classification arises because self-reports involve participants providing their own insights, opinions, feelings, or reflections, often through methods such as surveys, questionnaires, or interviews. While the data collected can be quantified (like Likert scales measuring agreement or frequency), the content is inherently subjective, presenting personal interpretations and experiences.

By using these self-reports, researchers gather information that reflects individual perspectives, which can then be analyzed statistically for patterns or correlations. This allows for the aggregation of subjective experiences into quantifiable data, reinforcing the notion that self-reports blend subjective input with quantitative analysis.

On the other hand, the other options do not align as closely with self-reports. Objective qualitative measures would focus on observations devoid of personal input, while standardized tests are structured assessments used to measure knowledge or ability, not personal feelings. Behavioral observations involve recording actions and reactions of individuals without asking for their subjective interpretations, making them distinctly different from self-reports.