| 来源类型 | Publication |
| Re-Defining the Who, When, and Where of Mentoring for Professional Statisticians | |
| Lauren Vollmer; Aparna Keshaviah; Dmitriy Poznyak; Sharon Zhao; Fei Xing; and Nicholas Beyler | |
| 发表日期 | 2016-12-15 |
| 出版者 | The American Statistician (published online ahead of print) |
| 出版年 | 2016 |
| 语种 | 英语 |
| 概述 | The authors share mentoring strategies that have emerged at their organization, Mathematica Policy Research, to overcome these obstacles.", |
| 摘要 | Organizations tailor their mentoring strategies to accommodate internal resources and preferences, producing different approaches in academic, government, and corporate environments. Across these settings, three common barriers impede effective mentoring of statisticians: overspecialization, time constraints, and geographic dispersion. The authors share mentoring strategies that have emerged at their organization, Mathematica Policy Research, to overcome these obstacles. Practices include creating a methodology working group to unite researchers with diverse backgrounds, integrating mentoring into existing workflows, and harnessing modern technological infrastructure to facilitate virtual mentoring. Although these strategies emerged within a specific professional context, they suggest opportunities for statisticians to expand the channels through which mentorship can occur. |
| URL | https://www.mathematica.org/our-publications-and-findings/publications/re-defining-the-who-when-and-where-of-mentoring-for-professional-statisticians |
| 来源智库 | Mathematica Policy Research (United States) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/488731 |
| 推荐引用方式 GB/T 7714 | Lauren Vollmer,Aparna Keshaviah,Dmitriy Poznyak,et al. Re-Defining the Who, When, and Where of Mentoring for Professional Statisticians. 2016. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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