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Social science data analysisan introduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Social science data analysisby Florian G. Hartmann, Johannes Kopp, Daniel Lois.
Reminder of title:	an introduction /
Author:	Hartmann, Florian G.
other author:	Kopp, Johannes.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden :2023.
Description:	1 online resource (v, 191 p.) :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Social sciencesStatistical methods.
Online resource:	https://doi.org/10.1007/978-3-658-41230-2
ISBN:	9783658412302$q(electronic bk.)

Social science data analysisan introduction /
Hartmann, Florian G.

Social science data analysisan introduction /[electronic resource] :by Florian G. Hartmann, Johannes Kopp, Daniel Lois. - Wiesbaden :Springer Fachmedien Wiesbaden :2023. - 1 online resource (v, 191 p.) :ill., digital ;24 cm.

On the task of empirical social research and quantitative data analysis in the sociological research process -- On the data situation: own data collections or secondary analyses? -- First steps of data analysis: preparation, data description and bivariate correlations -- Significance test -- Linear regressions -- On the logic of data analysis: Which evaluation strategy best fits my research question? -- Logistic regressions -- An outlook on advanced statistical analysis methods.

ISBN: 9783658412302$q(electronic bk.)

Standard No.: 10.1007/978-3-658-41230-2doiSubjects--Topical Terms:

182009
Social sciences
--Statistical methods.

LC Class. No.: HA29

Dewey Class. No.: 301.0727

Social science data analysisan introduction /
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505 0 $a On the task of empirical social research and quantitative data analysis in the sociological research process -- On the data situation: own data collections or secondary analyses? -- First steps of data analysis: preparation, data description and bivariate correlations -- Significance test -- Linear regressions -- On the logic of data analysis: Which evaluation strategy best fits my research question? -- Logistic regressions -- An outlook on advanced statistical analysis methods.
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