পদ্ধতির তুলনা করুন

	মিশ্র পদ্ধতি গবেষণা	গ্রাউন্ডেড থিওরি	জরিপ গবেষণা	Thematic Analysis
ক্ষেত্র	গুণগত	গুণগত গবেষণা	গবেষণা নকশা	গুণগত গবেষণা
পরিবার	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline
উদ্ভবের বছর	—	1967	Late 19th century; methodologically systematised 1940s–1960s	2006
প্রবর্তক	—	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
ধরন	Research design framework	Method	Quantitative (and mixed) non-experimental design	Method
মৌলিক উৎস	Creswell, J.W. & Plano Clark, V.L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379	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.
অপর নাম	Karma Yöntem Araştırması (Mixed Methods), multi-method research, triangulation design	GT, Grounded Theory Approach	survey methodology, questionnaire research, survey design, survey study	TA, Reflexive Thematic Analysis
সম্পর্কিত	4	3	4	3
সারসংক্ষেপ	Mixed methods research is a systematic research design in which quantitative and qualitative data are collected and analysed within a single study. Formalised by Creswell and Plano Clark (2003, 3rd ed. 2018), it offers three principal design variants — concurrent, sequential, and transformative — and strengthens findings through triangulation across both data strands.	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.