【2012】Best Practices in Data Cleaning A Complete Guide to Everything You Need to Do Before and After Collecting Your Data

Book 图书名称： Best Practices in Data Cleaning A Complete Guide to Everything You Need to Do Before and After Collecting Your Data
Author 作者： Jason W. Osborne
Publisher 出版社： SAGE Publications, Inc
Page 页数： 296
Publishing Date 出版时间： Jan 10, 2012
Language 语言： English
Size 大小： 9 MB
Format 格式： pdf 文字版
ISBN: 1412988012, 9781412988018
Edition: 第1版 搜索过论坛，没有该文档


Many researchers jump from data collection directly into testing hypothesis without realizing these tests can go profoundly wrong without clean data. This book provides a clear, accessible, step-by-step process of important best practices in preparing for data collection, testing assumptions, and examining and cleaning data in order to decrease error rates and increase both the power and replicability of results.

Jason W. Osborne, author of the handbook Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are evidence-based and will motivate change in practice by empirically demonstrating―for each topic―the benefits of following best practices and the potential consequences of not following these guidelines.

== Table of contents ==
n/a


== 回帖见免费下载 ==
[hide]
[/hide]
声明： 本资源仅供学术研究参考之用，发布者不负任何法律责任，敬请下载者支持购买正版。
提倡免费分享！ 我发全部免费的，分文不收 来看看 ...
你也可关注我马上加关注