Solution: Survey items are text, so we use natural language processing to approximate empirical overlap between scales. SynthNet is powered by SurveyBot3000, a sentence transformer we developed to predict correlations from item wording alone. Scale-level accuracy against empirical data: r=.84. 🧵3/3
November 26, 2025 at 11:42 AM
Solution: Survey items are text, so we use natural language processing to approximate empirical overlap between scales. SynthNet is powered by SurveyBot3000, a sentence transformer we developed to predict correlations from item wording alone. Scale-level accuracy against empirical data: r=.84. 🧵3/3
Problem: The measurement ecosystem in behavioral science is disorganized. Inconsistent labeling leads to jingle-jangle fallacies. Proving redundancy empirically requires pairwise comparisons. With hundreds of thousands of items, that means trillions of responses. Not feasible! 🧵2/3
November 26, 2025 at 11:42 AM
Problem: The measurement ecosystem in behavioral science is disorganized. Inconsistent labeling leads to jingle-jangle fallacies. Proving redundancy empirically requires pairwise comparisons. With hundreds of thousands of items, that means trillions of responses. Not feasible! 🧵2/3