Sentence examples for procedural discrepancies from inspiring English sources

Because we recognized most of these procedural discrepancies among clinics early in the data collection process, we were able to address them early enough to have a beneficial effect on data quality.

Although recommendations on how one should explore the procedural discrepancies between meta-analyses exist [ 4], little attention has been given to the actual interpretation of the numerical results themselves.

Besides lack of procedural effectiveness, this discrepancy could also be explained by differences in population characteristics or technical shortcomings of 123I mIBG scintigraphy.

One possible interpretation of this discrepancy is that procedural differences, such as the stimulus category or experimental task used in previous study, led to the incongruous findings [ 26].

Exposure to procedural skills was an area of discrepancy with 90%% of respondents indicating it as important (4 or 5 on the Likert scale) but only 58%% felt prepared (4 or 5 on the Likert scale).

As mentioned previously, these discrepancies are likely due to procedural disparities.

The study methodology depended on a comparative study in terms of an educational experiment to examine the discrepancy between Lotus Blossom (structural) and Provocation (procedural).

The explanation for this discrepancy may lie in the relatively high procedural costs surrounding events that led to the heart failure diagnosis.

Previous authors examining discrepancies among meta-analyses focused on the subjective decisions regarding procedural issues leading to different data rather than on the interpretation of the data [ 4].

Indeed, there is a great discrepancy in the reasoning of those who imply that providing procedural safeguards to the accused somehow means that one does not support survivors of sexual assault.

The discrepancies between meta-analyses are often attributed to the subjective decisions made regarding the procedural issues such as search strategies, inclusion/exclusion criteria, and validity of data abstraction.