Within the three identified clusters, discrepancies between the genetic affiliation of some individuals and their geographical origins were observed.
We noted graph type, clarity, and completeness and identified internal discrepancies.
Six respondents were removed as their responses were unreliable (identified by discrepancies between responses, text responses incongruous with the corresponding question, lack of variance, and repeated patterns in the data), leaving 2,019 participants in the final data set.
Duplicates were identified and discrepancies were reconciled through discussion.
Themes were identified and discrepancies discussed by the research team to reach consensus.
Decision points were identified, and discrepancies between systematic reviews authors' justification of choices made were recorded.
We identified 44 discrepancies in the reports of the study on safety.
Triangulation confirmed patterns and identified important discrepancies across data sources and respondents participating in interviews and focus groups.
The study identified discrepancies in income determined where individuals went after they decided to leave the Bay Area region.
In 11 out of 29 cases (38%) we identified discrepancies in at least one out of the three profiles and decided to clarify their origins by a detailed analysis of the sequences under the differential peaks.
