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015 a| GBC3C10842| bnb;

016 7 a| 0211199492| Uk;

019 a| 1378102722;

020 a| 9783031345821q| (hardcover);

020 a| 3031345827q| (hardcover);

020 z| 9783031345838q| (electronic book);

020 z| 3031345835q| (electronic book);

029 0 a| UKMGBb| 021119949;

035 a| (Sirsi) o1388648775;

035 a| (OCoLC)1388648775z| (OCoLC)1378102722;

049 a| EREE;

050 4 a| H62b| .S76 2023;

082 04 a| 300.722| 231| https://id.oclc.org/worldcat/ddc/E36JqYqhYy6DtXhkk3HkbWVM4x;

100 1 a| Stockemer, Daniel,e| author.1| https://isni.org/isni/0000000113681915=| ^A1321287;

245 10 a| Quantitative methods for the social sciences :b| a practical introduction with examples in R /c| Daniel Stockemer, Jean-Nicolas Bordeleau.;

250 a| Second edition.;

264 1 a| Cham, Switzerland :b| Springer Nature Switzerland AG,c| [2023];

300 a| xvi, 141 pages :b| illustrations (chiefly color) ;c| 25 cm.;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

490 0 a| Springer texts in political science and international relations;

504 a| Includes bibliographical references.;

505 0 a| The nuts and bolts of empirical social science -- A short introduction to survey research -- Constructing a survey -- Conducting a survey -- Introducing R and univariate statistics -- Bivariate statistics with categorical variables -- Bivariate statistics with two continuous variables -- Multivariate regression analysis.;

520 a| "This textbook offers an essential introduction to survey research and quantitative methods with clear instructions on how to conduct statistical tests with R. Building on the premise that we need to teach statistical methods in a holistic and practical format, the book guides students through the four main elements of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. In detail, students will learn how to create their own questionnaire on the basis of formulating hypotheses; sampling participants; disseminating their questionnaire; creating datasets; and analyzing their data. The data analytical sections of this revised and extended edition explain the theory, rationale and mathematical foundations of relevant bivariate and multi-variate statistical tests. These include the T-test, F-test, Chi-square test and correlation analyses, as well as bivariate and multivariate regression analyses. In addition, the book offers a brief introduction to statistical computing with R, which includes clear instructions on how to conduct these statistical tests in R. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research and quantitative methods classes in the social sciences." --c| Provided by publisher.;

650 0 a| Social sciencesx| Researchx| Statistical methods.=| ^A1019097;

650 0 a| Social sciencesx| Researchx| Methodology.=| ^A150563;

700 1 a| Bordeleau, Jean-Nicolas,e| author.=| ^A1488550;

758 i| has work:a| Quantitative methods for the social sciences (Text)1| https://id.oclc.org/worldcat/entity/E39PCG6yBQkKVJB6HgcJQK8dXq4| https://id.oclc.org/worldcat/ontology/hasWork;

938 a| YBP Library Servicesb| YANKn| 20127512;

994 a| C0b| ERE;

596 a| 1;

998 a| 6272773;

999 a| H62 .S76 2023w| LCc| 1i| 30372017783314d| 7/6/2026e| 7/6/2026k| CHECKEDOUTl| JGESm| JOYNERn| 2r| Ms| Yt| JGESBKu| 10/17/2023x| BOOKz| JSTACKS;

Quantitative methods for the social sciences : a practical introduction with examples in R / Daniel Stockemer, Jean-Nicolas Bordeleau.

Author/creator	Stockemer, Daniel author.
Other author	Bordeleau, Jean-Nicolas, author.
Format	Book
Edition	Second edition.
Publication	Cham, Switzerland : Springer Nature Switzerland AG, [2023]
Copyright Date	©2023
Description	xvi, 141 pages : illustrations (chiefly color) ; 25 cm.
Subjects	Social sciences--Research. --Statistical methods. Social sciences--Research. --Methodology.

Series	Springer texts in political science and international relations
Contents	The nuts and bolts of empirical social science -- A short introduction to survey research -- Constructing a survey -- Conducting a survey -- Introducing R and univariate statistics -- Bivariate statistics with categorical variables -- Bivariate statistics with two continuous variables -- Multivariate regression analysis.
Abstract	"This textbook offers an essential introduction to survey research and quantitative methods with clear instructions on how to conduct statistical tests with R. Building on the premise that we need to teach statistical methods in a holistic and practical format, the book guides students through the four main elements of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. In detail, students will learn how to create their own questionnaire on the basis of formulating hypotheses; sampling participants; disseminating their questionnaire; creating datasets; and analyzing their data. The data analytical sections of this revised and extended edition explain the theory, rationale and mathematical foundations of relevant bivariate and multi-variate statistical tests. These include the T-test, F-test, Chi-square test and correlation analyses, as well as bivariate and multivariate regression analyses. In addition, the book offers a brief introduction to statistical computing with R, which includes clear instructions on how to conduct these statistical tests in R. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research and quantitative methods classes in the social sciences." -- Provided by publisher.
Bibliography note	Includes bibliographical references.
ISBN	9783031345821 (hardcover)
ISBN	3031345827 (hardcover)
ISBN	(electronic book)
ISBN	(electronic book)

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Quantitative methods for the social sciences : a practical introduction with examples in R / Daniel Stockemer, Jean-Nicolas Bordeleau.

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