Elementary Regression Modeling: A Discrete Approach - Softcover

Wojtkiewicz, Roger A.

 
9781506303475: Elementary Regression Modeling: A Discrete Approach
Softcover
ISBN 10: 1506303471 ISBN 13: 9781506303475
Verlag: SAGE Publications, Inc, 2016

Inhaltsangabe

Elementary Regression Modeling by Roger A. Wojtkiewicz builds on simple differences between groups to explain regression and regression modeling. User-friendly and immediately accessible, this book gives readers a thorough understanding of control modeling, interaction modeling, modeling linearity with spline variables, and creating research hypotheses that serve as a conceptual basis for many of the processes and procedures quantitative researchers follow when conducting regression analyses.

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Über die Autorin bzw. den Autor

Roger A. Wojtkiewicz is a professor in the Department of Sociology at Ball State University in Muncie, Indiana. He spent the first 12 years of his career in the Department of Sociology at Louisiana State University and has since been at Ball State where he served as department chairperson for 12 years. At LSU, he taught undergraduate statistics and a graduate course in regression modeling in the PhD program. At Ball State, he has taught both the first and second semester courses in the statistics sequence in the master's program. He was trained as a quantitative methodologist in the graduate sociology program at the University of Wisconsin-Madison. He is author of Elementary Regression Modeling: A Discrete Approach published by Sage Publications in 2017.

Von der hinteren Coverseite

This user-friendly text builds on simple differences between groups to explain regression and regression modeling and provides a conceptual basis for the processes and procedures researchers follow when conducting regression analyses.

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Verlag
SAGE Publications, Inc
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
1506303471
ISBN 13 
9781506303475
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
216
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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