Enhancing Trustworthiness in Qualitative Research: Researcher Stance/Positionality

Dr. Rakesh Maurya, an expert on qualitative methodologies, explains trustworthiness in qualitative research. He currently works at the University of North Florida, U.S.A., and teaches qualitative research to doctoral students.
Welcome to our comprehensive guide on trustworthiness in qualitative research! In this illuminating video, we explore the concept of researcher stance/positionality and its pivotal role in ensuring the credibility and integrity of qualitative studies. Join us as we delve into the nuances of researcher reflexivity, transparency, and subjectivity, and how they influence the research process and findings. Gain insights into practical strategies for enhancing trustworthiness through thoughtful consideration of the researcher's positionality. Stay informed, stay credible, and unlock the secrets to conducting trustworthy qualitative research. #QualitativeResearch #ResearcherPositionality #ResearcherStance #Trustworthiness #ResearchMethodology #QualitativeAnalysis #ResearchCredibility
Keywords: External validity, face validity, research methods, qualitative research, educational research, validity types, research validity, doctoral students, education, research video, qualitative data, data analysis, research methodology, Construct validity, Research methodology, Validity in research, Measurement accuracy, Theoretical constructs, Research reliability, Credibility in research, Validity types, Qualitative research, Quantitative research, parallel forms reliability, equivalent forms reliability, test reliability, assessment consistency, reliability measures, educational assessments, psychological assessments,Test-retest reliability, parallel forms reliability, inter-rater reliability, internal consistency reliability, Cronbach's alpha, split-half reliability, equivalent forms reliability, content validity, construct validity, criterion validity, convergent validity, discriminant validity, predictive validity, face validity, external validity, internal validity, ecological validity, statistical conclusion validity, sampling bias, instrument bias, researcher bias, measurement error, generalizability, transferability, dependability, credibility, confirmability, triangulation, reflexivity, member checking, audit trail, saturation, negative case analysis, peer debriefing, investigator triangulation, methodological triangulation, data triangulation, thick description, case study rigor, research transparency, researcher positionality, analytical rigor, trustworthiness, measurement validity, fidelity, reproducibility, replicability, data integrity, response bias, instrument standardization.