ABSTRACT
This data type has a very strict condition: all the stimuli or objects are judged in terms of a single set of ordered categories (e.g., never, sometimes, often, always; strongly disagree, moderately disagree, neutral, moderately agree, strongly agree). Successive categories data can be regarded and analyzed as multiple-choice, which in many cases may be a preferred way of handling the data. The only reason why we identify successive categories data differently from multiple-choice data is because we wish to determine the locations of category boundaries as well as locations of the stimuli.
