The Chicago Guide to Writing about Multivariate Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


The Chicago Guide to Writing about Multivariate Analysis

简体网页||繁体网页
Jane E. Miller 作者
University Of Chicago Press
译者
2005-8-1 出版日期
500 页数
USD 32.50 价格
Paperback
丛书系列
9780226527833 图书编码

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发表于2024-10-03


The Chicago Guide to Writing about Multivariate Analysis 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

The Chicago Guide to Writing about Multivariate Analysis 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

The Chicago Guide to Writing about Multivariate Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Writing about multivariate analysis is a surprisingly common task. Researchers use these advanced statistical techniques to examine relationships among multiple variables, such as exercise, diet, and heart disease, or to forecast information, such as future interest rates or unemployment. Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. At the same time, many researchers have trouble communicating the purpose and findings of these models. Too often, explanations become bogged down in statistical jargon and technical details, and audiences are left struggling to make sense of both the numbers and their interpretation. Here, Jane Miller offers much-needed help to academic researchers as well as to analysts who write for general audiences. The Chicago Guide to Writing about Multivariate Analysis brings together advanced statistical methods with good expository writing. Starting with twelve core principles for writing about numbers, Miller goes on to discuss how to use tables, charts, examples, and analogies to write a clear, compelling argument using multivariate results as evidence. Writers will repeatedly look to this book for guidance on how to express their ideas in scientific papers, grant proposals, speeches, issue briefs, chartbooks, posters, and other documents. Communicating with multivariate models need never appear so complicated again.

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