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Descriptive statistics and regressions of 2D:4D and educational attainment based on RLMS data
We document the descriptive statistics and detailed regression outputs for educational attainment and measured 2D:4D ratios, based on the RLMS data (20th round, conducted in 2011–2012). Regression analysis is conducted using STATA 13, gologit2 which is a special code for the generalized ordered logi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429239/ https://www.ncbi.nlm.nih.gov/pubmed/28529968 http://dx.doi.org/10.1016/j.dib.2017.04.009 |
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author | Nye, John V.C. Bryukhanov, Maksym Polyachenko, Sergiy |
author_facet | Nye, John V.C. Bryukhanov, Maksym Polyachenko, Sergiy |
author_sort | Nye, John V.C. |
collection | PubMed |
description | We document the descriptive statistics and detailed regression outputs for educational attainment and measured 2D:4D ratios, based on the RLMS data (20th round, conducted in 2011–2012). Regression analysis is conducted using STATA 13, gologit2 which is a special code for the generalized ordered logit regression in STATA environment. We provide graphs of differences in means of 2D:4D ratios by educational attainment. Information about the distribution of self-identified nationalities and fields of university degrees of respondents is presented. |
format | Online Article Text |
id | pubmed-5429239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-54292392017-05-19 Descriptive statistics and regressions of 2D:4D and educational attainment based on RLMS data Nye, John V.C. Bryukhanov, Maksym Polyachenko, Sergiy Data Brief Data Article We document the descriptive statistics and detailed regression outputs for educational attainment and measured 2D:4D ratios, based on the RLMS data (20th round, conducted in 2011–2012). Regression analysis is conducted using STATA 13, gologit2 which is a special code for the generalized ordered logit regression in STATA environment. We provide graphs of differences in means of 2D:4D ratios by educational attainment. Information about the distribution of self-identified nationalities and fields of university degrees of respondents is presented. Elsevier 2017-04-28 /pmc/articles/PMC5429239/ /pubmed/28529968 http://dx.doi.org/10.1016/j.dib.2017.04.009 Text en © 2017 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Nye, John V.C. Bryukhanov, Maksym Polyachenko, Sergiy Descriptive statistics and regressions of 2D:4D and educational attainment based on RLMS data |
title | Descriptive statistics and regressions of 2D:4D and educational attainment based on RLMS data |
title_full | Descriptive statistics and regressions of 2D:4D and educational attainment based on RLMS data |
title_fullStr | Descriptive statistics and regressions of 2D:4D and educational attainment based on RLMS data |
title_full_unstemmed | Descriptive statistics and regressions of 2D:4D and educational attainment based on RLMS data |
title_short | Descriptive statistics and regressions of 2D:4D and educational attainment based on RLMS data |
title_sort | descriptive statistics and regressions of 2d:4d and educational attainment based on rlms data |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429239/ https://www.ncbi.nlm.nih.gov/pubmed/28529968 http://dx.doi.org/10.1016/j.dib.2017.04.009 |
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