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Publications, working papers, and other research using data resources from IPUMS.

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Title: Twitter Analysis

Citation Type: Book, Section

Publication Year: 2016

ISBN: 978-84872-581-2

Abstract: The advent of big data presents both opportunities and challenges for studying behavior and psychological processes. There are three features often used to characterize big data: volume, velocity, and variety (Laney, 2001). That is, big data provide an abundance of information, at a faster pace, and about more concepts than previously possible. However, these characteristics also mean that previous data analytic methods might become less feasible. Instead, methods are needed that address the specific defining features of big data. In this chapter, we offer an example of how massive information allows us to reveal new phenomena and discover how big data can be used to measure popular psychological constructs (e.g., job satisfaction) at the city level of analysis, which can then be used to predict related city-level concepts, as well as offer insight into new multi-level and macro-level hypotheses.

Url: https://books.google.com/books?hl=en&lr=lang_en&id=abzhCgAAQBAJ&oi=fnd&pg=PA64&dq=IPUMS+OR+%22Integrated+Public+Use%22&ots=53S8V7N946&sig=v2C9ZhGipwOJDxbVEBCqj_H3CTo#v=onepage&q&f=false

User Submitted?: No

Authors: Hernandez, Ivan; Newman, Daniel; Jeon, Gahyun

Editors: Scott Tonidandel, Eden King Jose Cortina

Pages: 64-429

Volume Title:

Publisher: Taylor & Francis

Publisher Location: New York, NY

Volume:

Edition:

Data Collections: IPUMS USA

Topics: Other

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop