In a Paired-stimulus preference assessment, data are typically summarized as the percentage of times each item was selected.

In a Paired-stimulus preference assessment, data are typically summarized as the percentage of times each item was selected.

• A. Total duration
• B. Mean latency
• C. Rank order
• D. Percentage of selections

Answer: (D)

In paired-stimulus preference assessment, the key idea is that choices drive the data. Two items are shown together in each trial, and the individual selects one. Because each trial yields a discrete choice, the most informative summary is how often each item is selected across all trials. Expressing this as a percentage of selections for each item clearly shows relative preference: items chosen more often have higher preference, and you can directly compare them. This percentage also combines across many trials into a single, easy-to-interpret metric, and the sum of all item percentages naturally equals 100%. Other measures don’t align as closely with what this method is designed to reveal. Total duration would reflect how long someone engages with items rather than which item is preferred. Mean latency would track speed to choose, which isn’t the focus for establishing relative preference in this setup. Rank order can be derived from the selection counts, but the primary, most representative summary is the percentage of selections for each item.

In paired-stimulus preference assessment, the key idea is that choices drive the data. Two items are shown together in each trial, and the individual selects one. Because each trial yields a discrete choice, the most informative summary is how often each item is selected across all trials. Expressing this as a percentage of selections for each item clearly shows relative preference: items chosen more often have higher preference, and you can directly compare them. This percentage also combines across many trials into a single, easy-to-interpret metric, and the sum of all item percentages naturally equals 100%.

Other measures don’t align as closely with what this method is designed to reveal. Total duration would reflect how long someone engages with items rather than which item is preferred. Mean latency would track speed to choose, which isn’t the focus for establishing relative preference in this setup. Rank order can be derived from the selection counts, but the primary, most representative summary is the percentage of selections for each item.