Mahajan and Peterson have provided an introduction to diffusion models that bridges the disciplines and sets out the basic findings in a clear and consistent way. Their book is a lucid, state-of-the-art description of the powerful tools for investigating the temporal diffusion of any innovation. The approach they use is abstract and general, but the inclusion of a number of helpful examples makes it accessible to a wider range of readers.
Models for Innovation Diffusion
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Inside This Book
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First Sentence:
The diffusion of an innovation has traditionally been defined as the process by which that innovation "is communicated through certain channels over time among the members of a social system" (Rogers,1983:5). Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Von Bertalanffy New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
The diffusion of an innovation has traditionally been defined as the process by which that innovation "is communicated through certain channels over time among the members of a social system" (Rogers,1983:5). Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Von Bertalanffy New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 66
books:
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100
books
cite this book:
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- Network Analysis (Quantitative Applications in the Social Sciences) by David Knoke in Back Matter (1), and Back Matter (2)
- Log-Linear Models (Quantitative Applications in the Social Sciences) by David Knoke in Back Matter (1), and Back Matter (2)
- Using Microcomputers in Research (Quantitative Applications in the Social Sciences) by Thomas W. Madron in Back Matter (1), and Back Matter (2)
- Tests of Significance (Quantitative Applications in the Social Sciences) by Ramon E. Henkel in Back Matter (1), and Back Matter (2)
- Nonrecursive Causal Models (Quantitative Applications in the Social Sciences) by William D. Berry in Back Matter (1), and Back Matter (2)
See all 66 books this book cites
- Test Item Bias (Quantitative Applications in the Social Sciences) by Steven J. Osterlind in Back Matter (1), and Back Matter (2)
- Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences) by Jae-On Kim in Back Matter (1), and Back Matter (2)
- Three Way Scaling: A Guide to Multidimensional Scaling and Clustering (Quantitative Applications in the Social Sciences) by Phipps Arabie in Back Matter (1), and Back Matter (2)
- New Social Movements In Western Europe: A Comparative Analysis (Social Movements, Protest, and Contention) by Kriesi Hanspeter in Back Matter
- Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences) by John H. Aldrich in Back Matter
See all 100 books citing this book
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