This second edition of Basic Content Analysis offers a concise introduction to content analysis methods from a social science perspective. It includes computer applications, studies and a chapter on problems and issues that can arise when carrying out content analysis in four major areas: measurement, indication, representation and interpretation.

Includes bibliographical references (pages 89-95).

1. Introduction -- Some content-analytic studies -- Issues in content analysis -- 2. Content classification and interpretation -- Reliability -- Validity -- Creating and testing a coding scheme -- Dictionaries and computerized text classification -- Reliability and classification schemes -- Single versus multiple classification -- Assumed versus inferred categories -- Alternate classification schemes and substantive results -- Units of aggregation problems -- 3. Techniques of content analysis -- Document selection and sampling -- Text encoding -- Key-word-in-context lists and concordances -- Word-frequency lists -- Retrievals from coded text -- Category counts -- Measurement models -- Accounting for content 1: Characteristics of the message producers -- Accounting for content 2: Changes in the socioeconomic system -- 4. Issues in content analysis -- Measurement -- Indication -- Representation -- Interpretation.