It starts with an introduction to the basic concepts in fault-tolerant design and the metrics used to specify and evaluate the dependability of the design.
This chapter provides a nontechnical overview of generalizability theory and illustrates its use as a comprehensive method for designing, assessing, and improving the dependability of measurement procedures.
The group interviews (and the analyses) were led by an experienced qualitative researcher (CV) and involving the wider research team in reaching a consensus supported the credibility of our interpretations and enhanced the dependability of the findings.
However the conduct of a logistic regression analysis using a hierarchical data analysis model based on a theoretical framework helped us evaluate mediation of more proximal factors and their association with ECC [ 42], reduced the tendency for spurious associations and increased the dependability of the data analysis outcomes.
Pitch: Stockbox intends to promote access to fresh food — and turn a profit — by blending the dependability of brick-and-mortar shops with the low overhead of pop-up retailers and food trucks.
Therefore, a literature review on empowerment was performed before the data collection that guided the follow-up questions in the interview and should have increased the dependability of the findings [ 22].
As our society relies more and more on the web, the dependability of web applications has become increasingly important.
We are using the Maude environment to develop a formal framework with methods and supporting tools for increasing the dependability of MDS space systems.
Participatory observations also gave a detailed documentation of the methodology used for health communication and transparency of decisions, which increases the dependability of this study [ 52].
Serving as an alternative to the more familiar classical measurement theory, which yields the less useful intra-class correlation coefficients, G theory addresses the dependability of measurements and allows for the simultaneous estimation of multiple sources of variance, including interactions.
