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Strength & Weakness of Quantitative Research

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Qualitative research relies on words to explain research findings; it may use interviews or focus groups. Quantitative research involves creating a hypothesis and identifying statistics to explain research findings. Using quantitative research has many advantages. For example, quantitative research allows a researcher to objectively detail evidence. However, quantitative research also has disadvantages. Qualitative research relies on specific evidence rather than generalized research.

For example, qualitative research allows a researcher to use a case study to illustrate a phenomenon. Data collection is based on participants' meanings rather than a more objective collection of statistics. Qualitative research often involves cross-case comparisons. Qualitative research tends to cause a researcher to become immersed in the research topic. For example, a researcher using qualitative research may conduct in-depth interviews, interact with participants and rely on her own observations.

Both quantitative and qualitative research are important on their own. It depends on the situation where a researcher conducts a particular research, or he can go for the mixed method, too. For now, I am in need of sampling and non-sampling errors. Please help me understand its applications and the ways that can be checked? Types of sampling and all related information on this chapter. Quantitative data provides the facts, but facts about people are just another construct of our society.

Business understands that neither method should be relied upon exclusively, which is why they use both. Anyone who thinks this is a competition between the two methods to somehow win out needs to read the article again.

I also think that the quantitative approach is more important than the qualitative approach because we use it more and more in our life time. I would suggest using both quantitative and qualitative. Both are strong ways of getting information and hearing the views and suggestions of others.

It would be wiser to go for a mixed research method. This quantitative approach is the approach used to show the transparency that at the end shows the democracy in the Great lakes countries. Both methods are useful in real life situations. Quantitative research requires high levels of statistical understanding to enable the measurements of descriptive and inferential statistics to be computed and interpreted, whereas qualitative methods are critical to identifying gaps in underserved areas in the society.

More significantly, the use of a combination of the two is perfect. I am more confused when a particular method is considered superior over the other. I am more at ease looking at all three methods as situational—in that, some decision making requires the use of a quantitative, qualitative, or mixed method to accomplish my goals. I think both qualitative and quantitative are good to go by, because the demerits of one are settled by the merits of the other.

The lapses that one has are covered by the other, so I think, for better findings and more accurate results, a mixed method answers it all. Good article, provides a good general overview. As a marketing-research consultant I want to stress that qualitative research helps you much more to collect insights for user stories—if you do SCRUM—get the reasons why that make you differ and not differ from competitors and that would allow you to positively stand out in the market.

I love the stats, measurements. Yet my clients get great stuff out of qual that quant could never deliver because it is tool for specific purposes—as qual is. If you have both in your toolbox and know how to handle them, you get a better product.

Use them and use them wisely, know the strengths and weaknesses of both—or get someone who does—because your competitor might just do it right now. Both methods play an equal role, especially in research, and may also influence each other. This will depend on time and the necessity for each method. A significance level set to 0. That is, one might observe statistical significance, regardless of sample size, but this may be a false positive—that is, the effect occurs by chance or due to the co-occurrence of other factors.

In general, one should be cautious about making inferences based on results drawn from a small sample. It must be remembered that the two methods are not competing. They complement each other. Employing both techniques is the surest way to get your research budget well spent.

Minini, Faith Harrison—In my opinion, all three research approaches—quantitative, qualitative, and mixed methods—are very useful in informing UX practice.

However, I prefer qualitative research for the reasons that studies are cheaper to embark on and the means of data collection and analysis are less stressful. I think qualitative research is best because it involves face-to-face conversation with the respondents. It gives true and reliable data as compared to quantitative research, because those researchers obtain data only from a given source and quantify it.

I need the advantages and disadvantages of using the T-test data collection method for the United States Parcel Service about their competition. I am not sure which is better for this, t-test or not, since t-test deals in small samples whereas UPS is global. Often subjects are not truthful as they feel the need to tell the researcher what they think the researcher might want to hear.

This can be particularly difficult during in-person interviews. Participants may also refuse to provide answers to questions they view to be too personal. Further, the idea that someone is watching can turn an observation into an event where people are acting how they perceive they should act or speak. Descriptive research also presents the possibility for error and subjectivity.

For example, when a researcher designs a questionnaire, questions are predetermined and prescriptive. Overcoming a research bias is an extreme difficulty for descriptive research practitioners. Therefore, those who choose to use a descriptive research approach must be aware of their own influence on the outcome of the research. Janine Murphy has worked since as a researcher, and editor for academic theses.

She completed her Masters of Arts in cultural history in at Memorial University of Newfoundland and is one year away from completing her Ph.

Qualitative Studies

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Comparatively evaluate the strengths and weaknesses of quantitative and qualitative research methodologies. II. Literature Reviews The Strengths of Quantitative Research Methodology The quantitative as survey approach has two significant advantages. First, it can be administered and evaluated quickly.

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Strengths and limitations. Quantitative method etc. are often included in quantitative research. Quantitative data is analysed using statistical methods. Quantitative approaches are best used to answer what, when and who questions and are not well suited to how and why questions. Strengths.

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There are a lot of different methods of conducting research, and each comes with its own set of strengths and weaknesses. I've been thinking a lot about the various research approaches because I'm teaching a senior-level research methods class with a lab this spring. Qualitative research provides valuable data for use in the design of a product—including data about user needs, behavior patterns, and use cases. Each of these approaches has strengths and weaknesses, and each can benefit from our combining them with one another.

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There are instances that qualitative research method is being criticized by some. Before making your own justifications, it would be best to weigh the advantages and disadvantages of qualitative research. Start studying Research Methods - Strengths and Weaknesses. Learn vocabulary, terms, and more with flashcards, games, and other study tools.