Read the following and provide a substantive peer response in 1 paragraphs w/ at least 1 citation (Scholarly only)
MARIA
To begin with, qualitative research is concerned with understanding human behavior from the informants’ perspective assuming a dynamic and negotiated reality (Schmidt & Brown, 2019). Data for such is collected through participant observation and interviews which are analyzed by themes developed from the descriptions of informants and reported in the language of the informants (Schmidt & Brown, 2019). Qualitative research is that which is labeled as “trustworthy” due to the high level of reliability and validity that are associated with such. The information sought focuses on how something is experienced or processed and not specifically about facts and figures; therefore, main approaches are phenomenology, ethnography, and grounded theory (Jeanfreau & Jack, Jr, 2010).
In contrast, quantitative research is concerned with discovering facts about social phenomena while assuming a fixed and measurable reality (Schmidt & Brown, 2019). Data for this research is collected thorough the measuring of things, then analyzed through both numerical comparisons and statistical inferences, and reported through a thorough statistical analyses of the finding (Schmidt & Brown, 2019). Quantitative data contains information that is quantifiable, perhaps through surveys that are analyzed using statistical tests to determine if the results happened by chance; the types of statistical analyses are used: descriptive and inferential – descriptive statistics are used to describe the basic features of the study data and provide simple summaries about the sample and measures, while inferential statistics are used to make inferences from the data to more general conditions (Jack, Jr, et al., 2010).
The core difference is that qualitative research generates “textual data” (non-numerical) while quantitative research, produces “numerical data”. Qualitative data examples would be: scents, appearance, flavors and other subjective things. Quantitative data examples are objective things like: height, weight, and time among others.
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