The handbook of qualitative and quantitative content analysis : introduction to classical, digital, AI-supported, and automated data analysis / Christian Schneijderberg, Oliver Wieczorek,and Isabel Steinhardt. Oxon : Routledge, 2026
Inhalt
- Half Title
- Title
- Copyright
- Contents
- Preface
- 1 Introduction
- Part 1 Basics of qualitative and quantitative content analysis and empirical research
- 2 Definitions of qualitative and quantitative content analysis, and inductive and deductive research approaches
- 3 Know your data: possibilities and limitations of text, numeric, video, and pictographic data, and primary and secondary studies
- 4 Research quality conventions: a guide for good quality empirical research
- 5 Data interpretation: a practical guide
- Part 2 Practical guide to classical qualitative content analysis and semi-automated quantitative content analysis
- 6 Deductive qualitative content analysis
- 7 Introduction to inductive qualitative content analysis
- 8 Introduction to quantitative content analysis
- 9 Deductive quantitative content analysis: a bibliometric literature review
- 10 Artificial intelligence and large language model-powered chatbots to support qualitative content analysis
- Part 3 Practical guide to automated big data content analysis
- 11 Automated content analysis: basic concepts and useful tips prior to data collection and data analysis
- 12 Getting started with Python
- 13 Data preprocessing
- 14 Introducing and exploring a dataset statistically
- 15 Automated content analysis using relational methods
- 16 Sentiment analysis
- 17 Topic modeling with Latent Dirichlet Allocation
- 18 Topic modeling with BERTopic
- References
- Index