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Rank-Ordered Logistical Models

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By: Christopher Quiroz & Richard A. Williams | Edited by: Paul Atkinson, Sara Delamont, Alexandru Cernat, Joseph W. Sakshaug & Richard A. Williams Published: 2020 | Length:   3 | DOI: |
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The rank-ordered logistical model (commonly abbreviated as ROLM or ROLOGIT) is used to analyze data in which respondents are provided a preset number of options and are subsequently asked to place those options into a complete order of preference. ROLM is a generalization of the conditional logistical model (CLM) for ranked outcomes (Long & Freese, 2014). CLM differs from ROLM in that CLM is utilized when individuals provide data only on their single best outcome. For example, if an individual were given three options—bus, car, or train—and asked which single mode of transportation they preferred, then these data collection technique would call for a CLM (see Long & Freese, 2014). However, if the same individual were asked to rank each of the options in a ...

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