TY - JOUR AU - Waldherr, Annie AU - Wehden, Lars-Ole AU - Stoltenberg, Daniela AU - Miltner, Peter AU - Ostner, Sophia AU - Pfetsch, Barbara PY - 2019/01/27 Y2 - 2024/03/29 TI - Inductive Codebook Development for Content Analysis: Combining Automated and Manual Methods JF - Forum Qualitative Sozialforschung / Forum: Qualitative Social Research JA - FQS VL - 20 IS - 1 SE - Single Contributions DO - 10.17169/fqs-20.1.3058 UR - https://www.qualitative-research.net/index.php/fqs/article/view/3058 SP - AB - <p>At the core of every content analysis is a codebook of relevant categories, frequently developed qualitatively based on a small sample of texts. Currently text mining methods enable us to explore an almost unlimited number of texts in an efficient, fast, and comprehensible manner. In this article, we suggest a procedure for codebook development using these methods to inductively derive coding categories from a large text corpus for content analysis. These methods are combined with qualitative, manual content analysis. First, we derive thematic main categories from a text corpus via text mining. In a next step, we then manually validate these categories and add sub-categories via qualitative content analysis. The method is exemplified with a codebook that was developed for the analysis of the citizen dialog on the "Quality of Life in Germany" [<em>Gut leben in Deutschland</em>], an open-ended questionnaire initiated by the German government to gather citizens' opinions on important aspects of quality of life.</p> ER -