Qualitative and quantitative methods differ as qualitative methods are a collection of non-numerical data to understand a concept or opinion, however, quantitative data us

Respond to these two posts in your own words. Apa 7th ed with a turn it in report

1. Qualitative and quantitative methods differ as qualitative methods are a collection of non-numerical data to understand a concept or opinion, however, quantitative data usually relies on numerical data to prove its point (Babbie, 2015, p. 26). There are many advantages to using quantitative methods as it can make data easier to compare, summarize, and produce statistical analysis (Babbie, 2015, p. 26). With quantitative methods having some advantages for statistics and comparisons, they also have disadvantages which include how a question could be interpreted. If a survey is conducted asking individuals a specific question, it is possible that everyone surveyed could interpret the question differently, therefore, the outcome of the survey could be different from what the researcher was planning. Qualitative data is simply verbal descriptions which can be interpreted differently depending on the individual. Qualitative data could also come from someone's past experiences. I would think that using both qualitative and quantitative methods when conducting research would be the best approach. This leads right into triangulation.

Triangulation is known as using multiple research methods to test similar findings (Babbie, 2015, p. 118). Using multiple research methods when conducting research will only strengthen your research and findings. Triangulation will enhance the validity of a researchers work as it strengthens it by not having an individualized research method. Clinical researchers use four different types of triangulations when conducting a clinical research study. These four different types include method triangulation, investigator triangulation, theory triangulation, and data source triangulation (Journal of Emergency Nursing, 2019). Each type of triangulation uses different methods to guide the research, implement and interpret data. Again, not relying solely on one research method will enhance one’s research and findings.

References:

Babbie, E. (2015). The practice of social research (14th ed.). Cengage Learning.

JEN. (2019). Triangulation: A method to increase validity, reliability, and legitimation in clinical research: Journal of Emergency Nursing, 45(1), 103. https://doi.org/10.1016/j.jen.2018.11.004

2.  

Quantitative Research: verify or test a notion (a theory or hypothesis)

Graphs and numbers are used to represent quantitative research. It is used to validate or put to the test beliefs and presumptions. A topic's generalizable facts can be established through this kind of study. Experiments, observations that are quantified, and surveys with closed-ended questions are examples of common quantitative procedures. Research biases such as information bias, omitted variable bias, sample bias, or selection bias can affect quantitative research.

Qualitative Research: Learn more about a subject (concepts, thoughts, experiences).

The results of qualitative research are written up. It aids in understanding ideas, events, or concepts. You can gain comprehensive knowledge about poorly understood subjects through the sort of study you are doing. Typical qualitative techniques include open-ended interview questions, written descriptions of observations, and literature studies that examine ideas and theories. Research biases, including the Hawthorne effect, observer bias, recollection bias, and social desirability bias, can also affect qualitative studies (Streefkerk, 2019).

Triangulation

A process of analyzing study results utilizing many data gathering methods is known as triangulation (Bhandari, 2022). It serves three key functions: to improve validity, to paint a clearer image of a study topic, and to examine various approaches to problem solving.

Using a combination of qualitative and quantitative data can improve an evaluation by ensuring that the limitations of one type of data are balanced by the strengths of another. This will ensure that understanding is improved by integrating different ways of knowing. Reducing study bias caused by the use of a single technique, hypothesis, or investigator can be achieved with the use of triangulation. Using several methods to study the same subject will increase validity. Give you a clear understanding of the research problem to establish credibility.

References:

Streefkerk, R. (2019, April 12). Qualitative vs. Quantitative Research | Differences, Examples & Methods. Scribbr. https://www.scribbr.com/methodology/qualitative-quantitative-research/Links to an external site.

Bhandari, P. (2022, January 3). Triangulation in Research | Guide, Types, Examples. Scribbr. https://www.scribbr.com/methodology/triangulation/Links to an external site.