Validity in Quantitative Research Design Assignment

Validity in Quantitative Research Design - Assignment Example Biasness in the research is one of the major threats to validity, in order to strengthen careful and reflective approach in the study, to minimise the influence of personal ground of the interviewer in study. Furthermore, through proper selection of the sample size based on the degree of knowledge and experience affects the validity of the study, as one participant experience and status differ with respect to the other. Moreover, through implementing proper strategy, the descriptive validity will be ensured, as audiences will have high interaction with the entire study. Contextually, interpretive validity will be ensured if there is no biasness during proper selection of sample. Through providing proper evidences in the study theoretical validity can be explored to actually fit with the data (Lund Research Ltd, 2012; Metheny et al., 2010). In this regard, neglecting the aspects of validity in the Advanced Practice Nurses (APN) study creates negative consequences, which leads to a research gap and major limitation in the overall study. Moreover, through having research gap and less trustworthiness in the study the patients safety and quality healthcare gets highly affected, as APN studies is undertaken to provide proper evidence to the other research works (Hughes, 2008). Hughes, R. G. (2008). Patient safety and quality: An evidence-based handbook for nurses. Retrieved from