Interaction Effects in Logistic Regression: 135 (Quantitative Applications in the Social Sciences) - Softcover

Jaccard, James

Softcover

ISBN 10: 0761922075 ISBN 13: 9780761922070

Verlag: SAGE Publications, Inc, 2001

Inhaltsangabe

This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the coefficients of interactive logistic models for a wide range of situations encountered in the research literature. The volume is oriented toward the applied researcher with a rudimentary background in multiple regression and logistic regression and does not include complex formulas that could be intimidating to the applied researcher.

Über diesen Titel

Über die Autorin bzw. den Autor

Dr. James Jaccard is Professor of Social Work at New York University Silver School of Social Work. He received his doctoral degree from the University of Illinois, Urbana, in 1976. Dr. Jaccard’s research focuses on adolescent and young adult problem behaviors, particularly those related to unintended pregnancy and substance use, broadly defined. He has developed parent-based interventions to teach parents how to more effectively communicate and parent their adolescent children so as to reduce the risk of unintended pregnancies and problems due to substance use. Dr. Jaccard has written numerous books and articles on the analysis of interaction effects in a wide range of statistical models and teaches advanced graduate courses on structural equation modeling. He has written influential articles on the issue of arbitrary metrics in social science research. Dr. Jaccard also has written about theory construction and how to build conceptual models in a book published by Guilford Press.

Details zur Ausgabe

• Verlag: SAGE Publications, Inc
• Erscheinungsdatum: 2001
• Sprache: Englisch
• ISBN 10: 0761922075
• ISBN 13: 9780761922070
• Einband: Tapa blanda
• Auflage: 1
• Anzahl der Seiten: 80
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar