Latent Class Analysis (Quantitative Applications in the Social Sciences),New

Latent Class Analysis (Quantitative Applications in the Social Sciences),New

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SKU: DADAX0803927525
UPC: 9780803927520
Brand: Sage Publications
Condition: New
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Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: What is the main focus of 'Latent Class Analysis'? A: The book focuses on latent class analysis, a statistical method used to identify unobserved subgroups within a population based on categorical data.
  • Q: Who is the author of this book? A: The author of 'Latent Class Analysis' is Allan L. McCutcheon.
  • Q: What is the condition of the book? A: This book is in new condition, ensuring it is suitable for readers looking for a quality copy.
  • Q: When was 'Latent Class Analysis' published? A: The book was published on May 1, 1987.
  • Q: What edition is this book? A: This is the first edition of 'Latent Class Analysis'.
  • Q: What is the page count of the book? A: The book contains 96 pages.
  • Q: What binding type does this book have? A: The book is available in paperback binding.
  • Q: What category does this book belong to? A: The book falls under the category of Probability & Statistics.
  • Q: Can this book help with research in social sciences? A: Yes, it provides valuable insights for researchers in social sciences who are analyzing relationships among categorical variables.
  • Q: Is this book suitable for beginners in statistics? A: While it is a specialized text, beginners with a basic understanding of statistical concepts may find it useful for learning about latent class analysis.

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