The Reliability of Generating Data expands on the author’s seminal work in content analysis and develops methods for assessing the reliability of the kind of data that previously defied evaluations for this purpose. It opens with a discussion of the epistemology of reliable data, then presents the most basic alpha coefficient for the single-valued coding of predefined units. This largely familiar way of measuring reliability provides the platform for the succeeding chapters which start with an overview of alternative coefficients and then expand alpha one quality after another, including to cope with the reliabilities of multi-valued coding, segmenting texts into meaningful units, big data, and information retrievals. It also includes a chapter on how to diagnose and remedy imperfections and one on applicable standards, all converging on the statistical issues of the reliability of generating data.
Features:
- Provides an overview of methods for assessing the reliability of generating data
- Expands a statistic proposed by the author, already widely used in the social sciences
- Includes many easy to follow numerical examples to illustrate the measures
- Written to be useful to beginning and advanced researchers from many disciplines, notably linguistics, sociology, psychometric and educational research, and medical science
The Reliability of Generating Data expands on the author’s seminal work in content analysis and develops methods for assessing the reliability of the kind of data that previously defied evaluations for this purpose. It opens with a discussion of the epistemology of reliable data, then presents the most basic alpha coefficient for the single-valued coding of predefined units. This largely familiar way of measuring reliability provides the platform for the succeeding chapters which start with an overview of alternative coefficients and then expand alpha one quality after another, including to cope with the reliabilities of multi-valued coding, segmenting texts into meaningful units, big data, and information retrievals. It also includes a chapter on how to diagnose and remedy imperfections and one on applicable standards, all converging on the statistical issues of the reliability of generating data.
Features:
- Provides an overview of methods for assessing the reliability of generating data
- Expands a statistic proposed by the author, already widely used in the social sciences
- Includes many easy to follow numerical examples to illustrate the measures
- Written to be useful to beginning and advanced researchers from many disciplines, notably linguistics, sociology, psychometric and educational research, and medical science