However, going into greater detail concerning these issues would be beyond the scope of this paper. However, depending on the depth and range of the extant literature, the initial focus of the case study may be quite focused or broad and open-ended. Therefore and because the case study strategy is ideally suited to exploration of issues in depth and following leads into new areas of new constructions of theory, the theoretical framework at the beginning may not be the same one that survives to the end HARTLEY,p.
We proofread, edit and make the paper upto mark without any flaws. Starting Rs for 10 pages. Limitations and weakness of quantitative research methods By Priya Chetty on September 7, According to Saunders et al. It allows generalisations of the results by measuring the views and responses of the sample population.
Every research methodology consists two broad phases namely planning and execution Younus Therefore, it is evident that within these two phases, there likely to have limitations which are beyond our control Simon Improper representation of the target population As mentioned in the articleimproper representation of the target population might hinder the researcher for achieving its desired aims and objectives.
Despite of applying appropriate sampling plan representation of the subjects is dependent on the probability distribution of observed data.
This may led to miscalculation of probability distribution and lead to falsity in proposition. For example, a study purports to check the proportion of female aged between years are applying make-up ranges of international brands. The target population in this case is the women belonging to the said age group, with both professional and non-professional backgrounds, residing in Delhi.
The sampled population based on the probability distribution has to be calculated against the total females residing in the city e. However, there is a scope of getting partial information about the range of makeup products from the sampled, owing to its meagre form against the total population.
Hence, the results of the study cannot be generalised in context to a larger population, but rather be suggested. Lack of resources for data collection Quantitative research methodology usually requires a large sample size. However due to the lack of resources this large-scale research becomes impossible.
In many developing countries, interested parties e. Responses often depend on particular time which again is dependent on the conditions occurring during that particular time frame. Reasons being, either the officials have changed or the development scenario have changed from too effective to minimal effective or vice versa.
It leads to limited outcomes outlined in the research proposal. So the results cannot always represent the actual occurring, in a generalised form. Also, the respondents have limited options of responses, based on the selection made by the researcher.
But to know what are the strategies applied by the manager to motivate the employee or on what parameters the employee does not feel motivated if responded nothe researcher has to ask broader questions which somewhat has limited scope in close-ended questionnaires Expensive and time consuming Quantitative research is difficult, expensive and requires a lot of time to be perform the analysis.
A large proportion of respondents is appropriate for the representation of the target population. So, as to achieve in-depth responses on an issue, data collection in quantitative research methodology is often too expensive as against qualitative approach.
For example, to understand the influence of advertising on the propensity of purchase decision of baby foods parents of 5-year old and below of Bangalore, the researcher needs collect data from respondents. This is time consuming and expensive, given the approach needed to each of these parents to explain the study purpose.
Difficulty in data analysis Quantitative study requires extensive statistical analysis, which can be difficult to perform for researchers from non- statistical backgrounds.
Statistical analysis is based on scientific discipline and hence difficult for non-mathematicians to perform. Quantitative research is a lot more complex for social sciences, education, anthropology and psychology.
Effective response should depend on the research problem rather than just a simple yes or no response. For example, to understand the level of motivation perceived by Grade 5 students from the teaching approach taken by their class teachers, mere yes and no might lead to ambiguity in data collection and hence improper results.
Instead a detailed interview or focus group technique might develop in-depth views and perspectives of both the teachers and children.
Requirement of extra resources to analyse the results The requirements for the successful statistical confirmation of result is very tough in a quantitative research.
Hypothesis is proven with few experiments due to which there is ambiguity in the results. So it requires extra time, investment and resources to refine the results. Journal of Evaluation in Clinical Practice, 6 2pp. Qualitative Case Study Methodology: Study Design and Implementation for Novice Researchers.
The Qualitative Report, 13 4pp. Document Analysis as a Qualitative Research Method.Their SAGE Research Methods Online and Cases database includes contents from books, articles, encyclopedias, handbooks, and videos covering social science research design and methods including the complete Little Green Book Series of Quantitative Applications in the Social Sciences and the Little Blue Book Series of Qualitative .
A Political Science Guide For students, researchers, and others interested in doing the work of political science. Volume 14, No. 1, Art. 25 – January Theory Building in Qualitative Research: Reconsidering the Problem of Induction.
Pedro F. Bendassolli. Abstract: The problem of induction refers to the difficulties involved in the process of justifying experience-based scientific benjaminpohle.com specifically, inductive reasoning assumes a leap from singular observational statements to general.
Guidelines for Qualitative Papers There is no one qualitative method, but rather a number of research approaches which fall under the umbrella of ‘qualitative methods’. The various social science disciplines tend to have different conventions on best practice in . What is the difference between quantitative and qualitative research?
In a nutshell, quantitative research generates numerical data or information that can be converted into numbers. and we're also okay with people reprinting in publications like books, blogs, newsletters, course-material, papers, wikipedia and presentations (with clear.
The Southern African Association for Institutional Research (SAAIR) is a dynamic association with the vision of promoting institutional research, training and development, and the .