Qualitative content analysis: theoretical foundation, basic procedures and software solution

By P. Mayring. 2014

2,851 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/18882a33873fc61b0f026f8ee31440a934eaa4a9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. M. Kernecker
2. A. Wurbs
3. Teresa Kraus
4. Friederike Borges
5. Mostafa Rad
6. Abbas Heydari
7. André Hanelt
8. Cláudia Antunes

Citations in the corpus

• A Systematic Review of the Literature on Digital Transformation: Insights and Implications for Strategy and Organizational Change (2020, methodology): “After applying the categories and sub-categories to about half the material, we again revised the category system by splitting up the sub-categories ‘into individual features or values’ (Mayring, 2014, p. 95).”
• Participant Outcomes of Biodiversity Citizen Science Projects: A Systematic Literature Review (2019, unknown): “We first employed an inductive approach by analyzing the fourteen articles without applying any pre-defined categories [44].”
• Qualitative Text Analysis: A Systematic Approach (2019, methodology): “Thematic analysis, often called Qualitative Content Analysis (QCA) in Europe, is one of the most commonly used methods for analyzing qualitative data (Guest et al. 2012; Kuckartz 2014; Mayring 2014, 2015; Schreier 2012).”
• Inductive and Deductive: Ambiguous Labels in Qualitative Content Analysis (2018, methodology): “The dualism propounded in Qualitative Content Analysis (QCA), suggests the adoption of “inductive” or “deductive” approaches or modes of reasoning in the process of qualitative data analysis (Elo & Kyngäs, 2008; Mayring, 2014).”
• Teachers’ Elementary School in Online Learning of COVID-19 Pandemic Conditions (2020, methodology): “61 (Mayring, 2014) that this content analysis produce response categories based on the coding process of free answers that have been submitted to respondents, this content analysis includes (a) open coding, at this stage the researcher provides notes of the various responses that arise from the resp”
• Experience versus expectation: farmers’ perceptions of smart farming technologies for cropping systems across Europe (2019, methodology): “QCA is a flexible method, focused on the specific research objective (Mayring 2014).”
• The Issue Takes It All? (2019, methodology): “…influence how a user perceives an incidentally encountered news post, and, consequently, whether she decides to select it for further reading (see, for example, Arendt, Northup, and Camaj 2017; Fichter and Jonas 2008; Iyengar and Hahn 2009; Medders and Metzger 2017; Winter and Krämer 2012, 2014).”