Accessible to any professional or researcher who has a basic understanding of analysis of variance, Shavelson and Webb offer an intuitive development of generalizability theory, a technique for estimating the relative magnitudes of various components of error variation and for indicating the most efficient strategy for achieving desired measurement precision. Covering a variety of topics such as generalizability studies with nested facets and with fixed facets, measurement error and generalizability coefficients, and decision studies with same and with different designs, the text includes exercises so the reader may practice the application of each chapter′s material. By using detailed illustrations and examples, Shavelson and Webb clearly describe the logic underlying major concepts in generalizability theory to enable readers to apply these methods when investigating the consistency of their own measurements.
You can read this ebook online in a web browser, without downloading anything or installing software.
This ebook is available in file types:
This ebook is available in:
After you've bought this ebook, you can choose to download either the PDF version or the ePub, or both.
The publisher has supplied this book in DRM Free form with digital watermarking.
You can read this eBook on any device that supports DRM-free EPUB or DRM-free PDF format.
The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.
To read this ebook on a mobile device (phone or tablet) you'll need to install one of these free apps:
To download and read this eBook on a PC or Mac:
The publisher has set limits on how much of this ebook you may print or copy. See details.