This Podcast provides an introduction to clinical epidemiology, the foundation of clinical statistics that are used in evidence-based practice (EBP). This podcast introduces morbidity or frequency measures of incidence, prevalence, and incidence density and why these concepts are important for advanced nursing practice. In addition, a brief overview of research designs to
Category Archives: Podcast
This podcast discusses the data quality concepts of reliability and validity of research tools/instruments. Definitions and examples of methods of reliability (stability, internal consistency, equivalence measures) and validity testing (content validity, concurrent and predictive validity, criterion-related validity, convergent and divergent validity, mixed method/multimethod approach, hypothesis testing, factor analysis) and how
This podcast provides an introduction to data quality, which emphasizes the importance of reliability and validity of research tools and instruments. The nature of data, forms of data, and a brief overview of data measurement are presented, including a description of random and systematic error. Click on the Podcast Player to get
This episode defines the differences between qualitative research designs and mixed methods designs. Trustworthiness (reliability and validity) of qualitative designs is also discussed.
This Podcast and notes define the difference between theoretical frameworks and conceptual models, defines conceptual and operational definitions, introduces the nursing metaparadigm concepts, and introduces how theoretical frameworks and conceptual models guide research, practice, and education. Examples of these concepts are included. Scroll down to access the Podcast Player! Podcast
A continuation of the podcast series providing an overview of clinical statistics for evidence-based practice for healthcare providers. This podcast contains a discussion of epidemiologic parameters that are important for choosing and understanding measures of clinical significance. Especially those related to ascertaining differences in group outcomes, i.e., intervention effects (e.g., effect size),
A continuation of the podcast series providing an overview of clinical statistics for evidence-based practice for healthcare providers. This podcast contains a discussion of parameters used to ascertain the accuracy of diagnostic testing for clinical decision-making. 2×2 Tables for diagnostic tests, Pretest and posttest probabilities, sensitivity and specificity, predictive values, and likelihood values are