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Partition dependence in financial aid distribution to income categories
When allocating resources, people often diversify across categories even when those categories are arbitrary, such that allocations differ when identical sets of options are partitioned differently (“partition dependence”). The first goal of the present work (Experiment 1) was to replicate an experi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164661/ https://www.ncbi.nlm.nih.gov/pubmed/32302321 http://dx.doi.org/10.1371/journal.pone.0231135 |
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author | Xing, Chenmu Williams, Katherine Hom, Jamie Kandlur, Meghana Owoyemi, Praise Paul, Joanna Alexander, Ray Shackney, Elizabeth Barth, Hilary |
author_facet | Xing, Chenmu Williams, Katherine Hom, Jamie Kandlur, Meghana Owoyemi, Praise Paul, Joanna Alexander, Ray Shackney, Elizabeth Barth, Hilary |
author_sort | Xing, Chenmu |
collection | PubMed |
description | When allocating resources, people often diversify across categories even when those categories are arbitrary, such that allocations differ when identical sets of options are partitioned differently (“partition dependence”). The first goal of the present work (Experiment 1) was to replicate an experiment by Fox and colleagues in which graduate students exhibited partition dependence when asked how university financial aid should be allocated across arbitrarily partitioned income brackets. Our sample consisted of community members at a liberal arts college where financial aid practices have been recent topics of debate. Because stronger intrinsic preferences can reduce partition dependence, these participants might display little partition dependence with financial aid allocations. Alternatively, a demonstration of strong partition dependence in this population would emphasize the robustness of the effect. The second goal was to extend a “high transparency” modification to the present task context (Experiment 2) in which participants were shown both possible income partitions and randomly assigned themselves to one, to determine whether partition dependence in this paradigm would be reduced by revealing the study design (and the arbitrariness of income categories). Participants demonstrated clear partition dependence in both experiments. Results demonstrate the robustness of partition dependence in this context. |
format | Online Article Text |
id | pubmed-7164661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71646612020-04-22 Partition dependence in financial aid distribution to income categories Xing, Chenmu Williams, Katherine Hom, Jamie Kandlur, Meghana Owoyemi, Praise Paul, Joanna Alexander, Ray Shackney, Elizabeth Barth, Hilary PLoS One Research Article When allocating resources, people often diversify across categories even when those categories are arbitrary, such that allocations differ when identical sets of options are partitioned differently (“partition dependence”). The first goal of the present work (Experiment 1) was to replicate an experiment by Fox and colleagues in which graduate students exhibited partition dependence when asked how university financial aid should be allocated across arbitrarily partitioned income brackets. Our sample consisted of community members at a liberal arts college where financial aid practices have been recent topics of debate. Because stronger intrinsic preferences can reduce partition dependence, these participants might display little partition dependence with financial aid allocations. Alternatively, a demonstration of strong partition dependence in this population would emphasize the robustness of the effect. The second goal was to extend a “high transparency” modification to the present task context (Experiment 2) in which participants were shown both possible income partitions and randomly assigned themselves to one, to determine whether partition dependence in this paradigm would be reduced by revealing the study design (and the arbitrariness of income categories). Participants demonstrated clear partition dependence in both experiments. Results demonstrate the robustness of partition dependence in this context. Public Library of Science 2020-04-17 /pmc/articles/PMC7164661/ /pubmed/32302321 http://dx.doi.org/10.1371/journal.pone.0231135 Text en © 2020 Xing et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Xing, Chenmu Williams, Katherine Hom, Jamie Kandlur, Meghana Owoyemi, Praise Paul, Joanna Alexander, Ray Shackney, Elizabeth Barth, Hilary Partition dependence in financial aid distribution to income categories |
title | Partition dependence in financial aid distribution to income categories |
title_full | Partition dependence in financial aid distribution to income categories |
title_fullStr | Partition dependence in financial aid distribution to income categories |
title_full_unstemmed | Partition dependence in financial aid distribution to income categories |
title_short | Partition dependence in financial aid distribution to income categories |
title_sort | partition dependence in financial aid distribution to income categories |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164661/ https://www.ncbi.nlm.nih.gov/pubmed/32302321 http://dx.doi.org/10.1371/journal.pone.0231135 |
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