There are those that believe that qualitative research is the best form of research, whereas others insist that only quantitative methods are appropriate in a research environment (CSU, 2004). Still others argue that both approaches are useful and appropriate though one is often more indicated than the other depending on the exact phenomena being examined and the nature or intent of the research being conducted (Potter, 1996; Lee & Poynton, 2000).
Fred Kerlinger once exclaimed that "there is no such thing as qualitative data, everything is either one or zero," however his claim is countered by another researcher, Campbell, who asserted that "all research ultimately has a qualitative grounding" (CSU, 2004).
Given the great debate that exists, researchers often find it difficult to determine which strategy is best and which is most likely to be accepted by peers when presenting a research program. Most researchers would aggress however that qualitative and quantitative data and research methods are equally important (Myburgh, et. al, 2000; CSU, 2004).
Qualitative research methods more often employs the use of words and interpretive analysis, whereas quantitative data analysis involves the use of numbers and statistics (CSU, 2004). There are some researchers that feel that quantitative is better because it is more 'scientific,' or at least they assume so because quantitative research requires the use of numbers. However, the major difference between the two is that qualitative research is more inductive in nature and quantitative research is more deductive in nature (CSU, 2004).
Because quantitative research is deductive, it requires that the research develop a hypothesis prior to conducting any research. Quantitative researcher also assumes that the researcher is an "objective observer" that is capable of neither participating in the study nor influencing the phenomena being studied (CSU, 2004)
This is not necessarily the case in qualitative research, where the researcher is able to learn about a situation by being immersed in it (CSU, 2004). Both approaches have benefits and drawbacks. The most obvious drawback or limitation of quantitative research is that it often focuses too closely on "individual results" and therefore fails to "make connections to larger situations or possible causes of results" (CSU, 2004). Qualitative research on the other hand, is sometimes considered to subjective or interpretive in nature, and is criticized for not being more 'scientifically' grounded because it is less likely to produce numbers or generate statistical analysis of a given situation.
In some studies, a combined approach may be indicated. For example, a quantitative approach may be established whereby the researcher develops an experiment to test a given hypothesis. Once that experiment is carried out, it is feasible that the researcher might then also include the use of qualitative approaches to supplement the findings or provide observational analysis via interviews and subject interaction to supplement the information acquired from the experimentation (CSU, 2004).
Most researchers however, agree that more problems are likely to result when a combined approach is used, and a greater margin of error might be afforded in situations where both approaches are used. A better approach would be the use of qualitative studies to gather initial information about a given phenomena, and later development of quantitative analysis or experimental research to gather additional information or to determine the cause and effect of patterns uncovered during a qualitative approach to research (Myburgh, et. al, 2001). There is general agreement among researchers that qualitative approaches to research may be considered a suitable prerequisite to future quantitative studies. In addition qualitative research is considered a logical starting point when little information is available about a given phenomena to begin with. The information gathered from this type of study may provide guidelines for future quantitative analysis (Myburgh, et. al, 2001).
Education and Literacy
With regard to education and literary competency, as far back as 1844 during the time of August Comte researchers argued that methods of "naturalistic approach" to research could be utilized to collect and study facts and observe trends and patterns through sensory input (Benz & Newman, 1998; Vidich & Lyman, 1994). Thus phenomena can be studied and observed and accounted fro more using qualitative means rather than via quantitative methods.
However, these views have changed, and in fact through the 1960s a more quantitative approach to examining educational research predominated among behaviorists and organizational theorists who determined that empirical fact gathering and 'hypothesis testing" were critical elements for studying educational and social phenomena alike (Benz & Newman, 1998: 5).
In recent...
Under this approach, personal histories or experiences of more than one individual are collected to have a deeper and at the same time, expanded understanding of the phenomenon under study. The higher the number of sources of information, the higher the chances of the researcher of generating an insight that would truly provide a meaningful understanding of the event or phenomenon. Like narrative research, phenomenology is also interested in
The initial list is to consist of ten e-business firms whose basis of selection is pegged on the uniform probability distribution of all the companies selected for the sample pool. So as to come up with a comparable list of data samples, I am to consider a set of e-businesses that are based in other parts of the world such as Europe. The eligibility of the selected firms is based
data collection methods employed study. Is relation element? Use references readings data collection methods address questions: •What data collection methods study? Justify . Data Collection Methods as applied in the study The study was carried out to help identify the global changes in the business world, and how organizations are adjusting themselves to the changes (Gouws, & Shuttleworth, 2009). It is undeniable that with the many changes, a lot of information,
The samples contained different types of Latinos. This element adds to the strength of the work as the theorized differences between groups could be examined statistically. In a general manner the study examines factors that are useful in determining the success of second generation immigrants. The author suggests that the work can be useful as a test of the Garcia Coll et al. model of self-esteem. The study also calls
Kahneman & Schwarz (2009) confirm that the link between advanced income and happiness is fantasy. The two researchers further ascertained that inheriting a lot of money or earning as anticipated does not make one happy. This is because once one is in possession of huge sum of money; one does not necessarily spend it to make him/her happy. The third hypothesis point out that education and income increases the level
data collection (people, researcher, institutional, event problems)? Unfortunately, there are a number of common problems that routinely occur when scientists or professionals are attempting to collect data for a specific study. These problems usually revolve around four integral elements for a study -- those that pertain to people or subjects involved within the study, the researchers themselves, institutional problems, as well as problems with specific events that take place during
Our semester plans gives you unlimited, unrestricted access to our entire library of resources —writing tools, guides, example essays, tutorials, class notes, and more.
Get Started Now