Data Quality (DQ)

DQ (Data Quality)
Name
Name of institution
3rd June 2014
Introduction
DQ for data quality is the extent to which data, from research processes such as data collection and statistical accuracy meets the needs of the user. Among the important features to consider when assessing data for quality are relevance, validity, reliability, objectivity, integrity, completeness, and utility. As such, this essay will major onto the reasons why it is important for researcher to be sensitive of the reliability and validity of data collection tool being used in quantitative research project. Similarly, the essay will look into the reasons why the researcher must ensure the reliability and validity of data collection tool being used in qualitative research project.
Data collection is the process of assembling and obtaining information that allows one to answer stated research questions and evaluate the results. As such, the data collected must be reliable and valid in order to maintain the integrity of research. Validity of data means that the data collected should be close to the actual values whil...