A must-have volume for every communication researcher's library, The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research provides an introductory treatment of various advanced statistical methods applied to research in the field of communication. Written by authors who use these methods in their own research, each chapter gives a non-technical overview of what the method is and how it can be used to answer communication-related questions or aide the researcher dealing with difficult data problems. Students and faculty interested in diving into a new statistical topic—such as latent growth modeling, multilevel modeling, propensity scoring, or time series analysis—will find each chapter an excellent springboard for acquiring the background needed to jump into more advanced, technical readings.
Key Features and Benefits
- Covers a variety of statistical topics, methodologies, and examples tailored specifically for communication researchers and students
- Provides worked examples to illustrate basic concepts, helping readers make the leap between abstract concepts and specific interpretation of various statistical methods
- Helps to expand readers' statistical repertoire and to better understand the methods being used increasingly often in the communication literature
Time Series Analysis: Traditional and Contemporary Approaches
One commonly hears that communication is a process, but most communication research fails to exploit or live up to that axiom. Whatever the full implications of viewing communication as a process might be, it is clear that it implies that communication is dynamically situated in a temporal context, such ...