The difference in Qualitative Versus Quantitative Research Paradigms Are in the framework, goals, question and answer format, and the rigor in research design. Qualitative research explores a specific topic, while Quantitative Research begins with a hypothesis on a specific question. Quantitative Research uses numerically-based formats of collecting data, like surveys and rigid observation. Probability sampling, when a small, randomly selected group of people are sampled to evaluate the attitude or opinion of the general population, is regularly used in quantitative research. Purposeful sampling is used in qualitative research to identify information-rich cases related to the occurrence studied. Qualitative research offers more flexible structures (which make it harder to compare data, like quantitative studies rely upon). Instead of identifying a numerical variance, qualitative data must note differences in data through explaining detail. Qualitative research allows for more open-ended questions which can change based on participant response, while quantitative research established comparability through asking the same questions to all participants and assigning responses flat values. In general, qualitative research is more exploratory, though it involves extra work through stitching together valuable data throughout an experience which could take the researcher away from the original topic; it is more time-intensive and asks more from participants than an inflexible, impersonal, numbers-based survey would.
The benefit to executing qualitative research is that participants are free to use their own words to describe their experience, instead of maneuvering the set choices of others. This method makes it easier for a participant to understand, particularly since most are unfamiliar with scholarly writing and thus, scholarly research and (possibly) wording. Personality and communication style are lost within quantitative research, which come in handy when communicating through qualitative study. However, qualitative research also requires sensitivity that quantitative research may not. In searching for participants, it can be easier to have a mass of people fill out a survey where they understand the information will be generally anonymous, in comparison to a qualitative study which may involve becoming close with a person’s life, and will generally involve the observation of their family, community and culture. This process, known as naturalistic research, involves letting down walls that most would be uncomfortable allowing a stranger into. Lincoln and Guba (1985) state that generalizability, the appealing circumstance in which researchers apply macro conclusions to a micro research platform, can weaken validity. For example, in executing qualitative research in my last undergraduate year about the reasons why Mexican emigration to America is so alluring, I decided to study the people of the Yucatan peninsula. From this lens, I realized not all Mexicans wished to part with their homeland passport; my upper-middle class host family had no interest in leaving for the USA for any more than a trip to New York City or Disney World. This essentially shifted my research altogether; instead, I decided to focus my research on the dynamics between the host families within our program, mostly upper class households, in comparison to the domestic worker families within these wealthy households, focusing on access to higher education between these two groups. The ability to switch my study focus allowed for me to have more meaningful interactions with individuals within both dynamics. Each conversation became a part of my research, instead of sitting down with participants and having them fill out impersonal surveys. Smith and Heshusius (1986, January) claim that naturalistic research can offer only an "interpretation of the interpretations of others,” and that to assume an independent reality is "unacceptable" for the qualitative researcher. Though I agree that the closest a researcher can get to objective research is taking the perception of their perception of their interviewee, having an unplanned conversation and learning about lifestyle though everyday conversation allows for thoughts to be unstructured and free-flowing. Defenses are down; neither researcher nor interviewee are really identifying the research viability to the chats. It is up to the researcher to review the “data” to note what can be used for the study. Within the Mexican household, it was far easier for me to place a recorder down and catching the emotion within a talk, noting the activity of family members and capturing the culture through photos, than to construct study data based on numbers alone.
However, my experience could be challenged due to a perceived lack of objectivity. Numerical data, which comes from numerically-based studies and surveys, allows for researchers to track hard data and show their credibility with realistic figures (even though, in theory, statistics can be manufactured to support contradicting hypotheses). The challenge with qualitative research can be, though conversations and observations can be read by others, the way this information is perceived by the researcher or future readers may not agree. It is severely important that a researcher using the qualitative method is particularly detailed in objectively noting the environment they are conducting research in, the personalities and backgrounds of their participants, and in the connections they use to explain their conclusions.
References
Hoepfl, Marie C. Choosing Qualitative Research: A Primer for Technology Education Researchers (1997). Journal of Technology Education, Volume 9, Number 1.
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Beverly Hills, CA: Sage Publications, Inc.Smith, J. K., & Heshusius, L. (1986, January). Closing down the conversation: The end of the quantitative-qualitative debate among educational inquirers. Educational Researcher, 15(1), 4-12.