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This book focuses on categorical data analysis, emphasizing model implementation using SAS and SPSS. It employs numerous examples with relevant codes and instructions, enabling students to replicate results independently. Starting from chapter two, each chapter concludes with exercises that deepen understanding by challenging students to apply concepts in more advanced ways, often requiring extensive use of PC-based statistical software. The inclusion of tables with analysis results and interpretations further enhances comprehension. Key features include detailed programs and outputs for all examples using SAS 8.02 and SPSS, along with comprehensive coverage of often-overlooked topics like one-way classification, analysis of doubly classified data, and generalized estimating equations. It also addresses various SAS and SPSS procedures, such as PROC FREQ, GENMOD, LOGISTIC, and PROC CROSSTABS. This resource is tailored for upper-level undergraduate or graduate courses in biostatistics, statistics, epidemiology, psychology, sociology, political science, and education, with a recommended prerequisite of one year of calculus and statistics. The book has been successfully class-tested by graduate students in biometry and epidemiology at the Medical University of South Carolina.
Buchkauf
Categorical Data Analysis with SAS and SPSS Applications, H. Bayo Lawal
- Sprache
- Erscheinungsdatum
- 2003
- product-detail.submit-box.info.binding
- (Hardcover)
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- Titel
- Categorical Data Analysis with SAS and SPSS Applications
- Sprache
- Englisch
- Autor*innen
- H. Bayo Lawal
- Verlag
- Psychology Press
- Erscheinungsdatum
- 2003
- Einband
- Hardcover
- Seitenzahl
- 561
- ISBN10
- 0805846050
- ISBN13
- 9780805846058
- Reihe
- Schlagwörter
- Sachbücher, Technologie & Industrie, Computer & Internet, Datenbanken
- Beschreibung
- This book focuses on categorical data analysis, emphasizing model implementation using SAS and SPSS. It employs numerous examples with relevant codes and instructions, enabling students to replicate results independently. Starting from chapter two, each chapter concludes with exercises that deepen understanding by challenging students to apply concepts in more advanced ways, often requiring extensive use of PC-based statistical software. The inclusion of tables with analysis results and interpretations further enhances comprehension. Key features include detailed programs and outputs for all examples using SAS 8.02 and SPSS, along with comprehensive coverage of often-overlooked topics like one-way classification, analysis of doubly classified data, and generalized estimating equations. It also addresses various SAS and SPSS procedures, such as PROC FREQ, GENMOD, LOGISTIC, and PROC CROSSTABS. This resource is tailored for upper-level undergraduate or graduate courses in biostatistics, statistics, epidemiology, psychology, sociology, political science, and education, with a recommended prerequisite of one year of calculus and statistics. The book has been successfully class-tested by graduate students in biometry and epidemiology at the Medical University of South Carolina.