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An introduction to using linear regression models.

Justin Esarey, PhD, Associate Professor of Politics and International Affairs at Wake Forest University, discusses the use of linear regression models in computational social science, including why linear regression is an important concept, the kinds of research questions these models can answer, th...

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Bibliographic Details
Other Authors: Esarey, Justin (Academic.)
Format: Video
Language:English
Language Notes:Closed-captions in English.
Published: London : SAGE Publications Ltd, 2019.
Subjects:
Regression analysis.
Social sciences > Data processing.
Social sciences > Mathematical models.
Social sciences > Methodology.
Regression Analysis
Analyse de régression.
Sciences sociales > Informatique.
Sciences sociales > Modèles mathématiques.
Regression analysis
Social sciences > Data processing
Social sciences > Mathematical models
Social sciences > Methodology
Online Access:Connect to this streaming video
Description
Summary:Justin Esarey, PhD, Associate Professor of Politics and International Affairs at Wake Forest University, discusses the use of linear regression models in computational social science, including why linear regression is an important concept, the kinds of research questions these models can answer, the kinds of data that can be analyzed, examples of research using these models, advice to someone new to computational social science, and why computational social science is important.
Physical Description:1 online resource (1 video file (00:11:39)) : sound, colour
ISBN:9781526497185
1526497182