Reliability and Validity in Research: Face Validity

  Рет қаралды 16

Dr. Rakesh Maurya

Dr. Rakesh Maurya

Ай бұрын

Dr. Rakesh Maurya, an expert on qualitative methodologies, explains face validity in research. He currently works at the University of North Florida, U.S.A., and teaches qualitative research to doctoral students.
In this enlightening video, we delve deep into the concept of face validity and its pivotal role in research methodologies. Face validity, often regarded as the initial impression or superficial appearance of a measurement tool or assessment, holds significant importance in various fields including psychology, education, and healthcare. Join us as we unravel the intricacies of face validity, exploring its definition, significance, and practical implications in research design and instrument development. Through insightful examples and expert analysis, viewers will gain a comprehensive understanding of how face validity influences the credibility and acceptance of research findings. Whether you're a seasoned researcher or a novice exploring the realm of research methods, this video is a must-watch to enhance your knowledge and proficiency in evaluating and enhancing the face validity of your research instruments.
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.

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