Quantitative Design in Nursing Assignment
Quantitative Design in Nursing Assignment
Gerontological nursing practice contains many areas of research interests since adults are among the at-risk populations. For example, researchers may develop an interest in determining the relationship between the aging process and mental health. Another exciting research area involving the adult population is the relationship between education, literacy, and various health thresholds, including physical, general, and psychological health among the elderly. Such a topic is essential because it may explain why adults with high-level education and literacy are less susceptible to various health concerns, including the prevalence of lifestyle diseases such as cancer and hypertension. Quantitative Design in Nursing Assignment
Independent, Dependent, and Extraneous Variables
Variables are factors that affect research outcomes and determine the validity of the subsequent conclusions. Researchers encounter independent variables such as education levels and literacy thresholds when investigating the relationship between education, literacy, and health. These factors determine the research outcome, although researchers cannot control them. On the other hand, dependent variables rely on the presence of dependent variables. Therefore, it is possible to encounter dependent factors such as mental, general, and psychological health statuses of participants alongside the importance of implementing adult learning programs to improve health literacy.
Although independent and dependent variables are inevitable in quantitative research, investigators may encounter other unanticipated variables (extraneous) that directly or indirectly affect the results. Examples of extraneous factors include participant variables (gender, perceptions, and responses), experimental biases, and experimenter issues (Allen, 2017 Quantitative Design in Nursing Assignment). When considering the effects of extraneous variables on the research validity, it is possible to control them by embracing random sampling and ensuring a consistent environment for participants. Randomization promotes the process of spreading participants’ attributes to all groups to eliminate biases.
Threats to External Validity
External validity entails the extent of applying research inferences to a broader population. The primary objective of conducting quantitative research is to realize a conclusion which applies to other target populations (Findley et al., 2021). When investigating the relationship between education, literacy, and health among adults, it is essential to address various potential threats to external validity, including sampling bias, experimenter effects, and the Hawthorne effect (the tendency of participants to change their behavior during the study). Some strategies to counter these threats include replication, probability sampling, field experiments, and recalibration. Quantitative Design in Nursing Assignment
Time Dimension of the Research
Often, time is fundamental in determining the trajectories of quantitative research because it defines the level of interaction between researchers and participants. Researchers may use a cross-sectional study design for data collection to investigate the relationship between education, literacy, and health because it enables a faster comparison of different variables. According to Kesmodel (2018), this time dimension allows collecting relevant data at a given time via either descriptive or analytical approaches. Therefore, it is possible to sample the entire population or subpopulation to develop informed conclusions.
Quantitative Design in Nursing Assignment References
Allen, M. (2017). The sage encyclopedia of communication research methods (pp. 1817-1852). Sage Publications Ltd.
Findley, M., Kikuta, K., & Denly, M. (2021). External Validity. Annual Review of Political Science, 24(1), 365-393. https://doi.org/10.1146/annurev-polisci-041719-102556
Kesmodel, U. (2018). Cross-sectional studies – what are they good for? Acta Obstetricia Et Gynecologica Scandinavica, 97(4), 388-393. https://doi.org/10.1111/aogs.13331
Quantitative Design in Nursing Assignment Instructions
Identify an area of clinical practice interest in the adult population.
– Consider a research study that they might conduct with this population.
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