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Beschreibung

An integral guide for postgraduates and researchers on how to forge a strong methodology while studying their respective phenomenon of interest, providing step-by-step instructions on how to run analyses, where the important results are in the output, and how to clearly present final results.

An integral guide for postgraduates and researchers on how to forge a strong methodology while studying their respective phenomenon of interest, providing step-by-step instructions on how to run analyses, where the important results are in the output, and how to clearly present final results.

Über den Autor

Joel E. Collier Ph.D. is the Tommy and Terri Nusz Professor of Marketing at Mississippi State University, USA. He is also the Ph.D. Director for doctoral studies in the Department of Marketing. Dr. Collier teaches structural equation modeling on the doctoral level and has published numerous articles in the top journals of his field using this technique. He has also worked as a consultant for the following firms: Time Warner, Muvico, Reeds Jewelers, Cashman Photo, and the Carolina Hurricanes professional hockey team.

Inhaltsverzeichnis

Preface 1. Introduction to Structural Equation Modeling 2. Data Screening, Assessing Reliability, Validity, and Identification 3. Understanding the AMOS Program 4. Measurement Model Analysis 5. Path and Full Structural Models 6. Mediation 7. Moderation 8. Using Categorical Independent Variables in SEM 9. Latent Growth Curve Models 10. Advanced Topics in SEM Appendix

Details
Erscheinungsjahr: 2020
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9780367435264
ISBN-10: 0367435268
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Collier, Joel
Hersteller: Routledge
Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, D-80331 München, gpsr@taylorandfrancis.com
Maße: 254 x 178 x 20 mm
Von/Mit: Joel Collier
Erscheinungsdatum: 04.06.2020
Gewicht: 0,692 kg
Artikel-ID: 127249341