Сравнение методов

	Grounded Theory	Опросные исследования	Тематический анализ
Область	Качественные исследования	Дизайн исследования	Качественные исследования
Семейство	Process / pipeline	Process / pipeline	Process / pipeline
Год появления	1967	Late 19th century; methodologically systematised 1940s–1960s	2006
Автор метода	Barney Glaser and Anselm Strauss	Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s	Virginia Braun and Victoria Clarke
Тип	Method	Quantitative (and mixed) non-experimental design	Method
Основополагающий источник	Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. Aldine.	Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Другие названия	GT, Grounded Theory Approach	survey methodology, questionnaire research, survey design, survey study	TA, Reflexive Thematic Analysis
Связанные	3	4	3
Сводка	Grounded Theory (GT) is a systematic qualitative research methodology in which theory emerges directly from data through iterative analysis, rather than being imposed before data collection. Developed by Barney Glaser and Anselm Strauss in 1967, GT prioritizes generating explanatory frameworks grounded in evidence.	Survey research is a quantitative (and sometimes mixed-methods) design in which a researcher collects standardised self-report data from a sample drawn from a defined population, using a questionnaire or structured interview. It is the dominant non-experimental strategy for describing population characteristics, estimating prevalence, mapping attitude distributions, and testing bivariate or multivariate associations across social, behavioural, and health sciences.	Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.