Sentence examples for increase the trustworthiness of from inspiring English sources
The phrase "increase the trustworthiness of" is correct and usable in written English
You can use it when discussing ways to enhance the reliability or credibility of a person, organization, or system. Example: "To improve our customer relations, we need to increase the trustworthiness of our communication methods."
Additionally, I conducted follow-up interviews with all experts to verify and increase the trustworthiness of my findings (Lincoln and Guba 1985).
A sensor that works on a different physical principle in collaboration with these sensors could decrease the errors and thus increase the trustworthiness of the measurement.
To increase the trustworthiness of pervasive systems, a dependable approach to system development must be followed, which enables seamless integration of the functional, security and context-awareness requirements.
An additional measure used to increase the trustworthiness of the findings was to make the written transcripts available to the participants so that they could verify the information obtained from interviews.
In an attempt to increase the trustworthiness of the study, the parents were asked to read my findings and conclusions during this phase (i.e., member checks; see Lather, 1986).
During the data analysis, we used data triangulation to increase the trustworthiness of the study.
The feedback supported our findings and increased the trustworthiness of the analysis [ 38].
Triangulation of data by location, ethnographers and qualitative methods increased the trustworthiness of findings.
Using authors from different professional and academic backgrounds is a recognised technique for increasing the trustworthiness of the analysis [ 21].
Further, triangulation of the qualitative data was achieved by using different methods (interviews and FGDs) and sources, increasing the trustworthiness of the study [ 17, 38].
Using researchers from different professional and academic backgrounds to analyse the data is a recognised technique for increasing the trustworthiness of the analysis[ 20].
