Which approach yields a preference gradient by calculating selection percentage over the full array presented multiple times?

• A. Preference Assessments
• B. Paired Choice
• C. Informal Preference Check
• D. ABC Data

Answer: (A)

Measuring relative reinforcement value across many items by presenting the full array multiple times and calculating the selection percentage for each item yields a gradient of preference. This approach is a hallmark of preference assessments, which gather data on how strongly each item is valued by the learner by looking at how often it’s chosen across repeated full-array presentations. The resulting percentages show a spectrum from most to least preferred, guiding which items are likely to function as effective reinforcers. In contrast, paired choice focuses on one-on-one comparisons and builds a ranking from many two-item trials rather than a straightforward percentage distribution across a full set. Informal preference checks rely on casual observation without systematic, quantitative percentages, and ABC data records antecedents, behaviors, and consequences rather than preference rankings.