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Annex 1: Strengths and weaknesses of quantitative evaluation designs

Lack of resources for data collection

❶Quantitative studies provide data that can be expressed in numbers—thus, their name. Demetrius is constantly thinking of new methods and tools to make user research faster, less costly, and more accurate.

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Additionally, because it is not possible to automate qualitative-data collection as effectively as you can automate quantitative-data collection, it is usually extremely time consuming and expensive to gather large amounts of data, as would be typical for quantitative research studies.

As a result, qualitative research tends to have less statistical power than quantitative research when it comes to discovering and verifying trends. While quantitative and qualitative research approaches each have their strengths and weaknesses, they can be extremely effective in combination with one another. You can use qualitative research to identify the factors that affect the areas under investigation, then use that information to devise quantitative research that assesses how these factors would affect user preferences.

To continue our earlier example regarding display preferences: An example of a qualitative trend might be that younger users prefer autostereoscopic displays only on mobile devices, while older users prefer traditional displays on all devices. You may have discovered this by asking an open-ended, qualitative question along these lines: In a subsequent quantitative study, you could address these factors through a series of questions such as: An automated system assigns a numeric value to whatever option a participant chooses, allowing a researcher to quickly gather and analyze large amounts of data.

When setting out to perform user research—whether performing the research yourself or assigning it to an employee or a consultant—it is important to understand the different applications of these two approaches to research. This understanding can help you to choose the appropriate research approach yourself, understand why a researcher has chosen a particular approach, or communicate with researchers or stakeholders about a research approach and your overarching research strategy.

In what other ways do you use and combine qualitative and quantitative research? The quantitative approach is so vital, even in our daily lives, because in most, if not all things we do in life, we measure to see how much there is of something.

Quantitative method is part of our daily life, even from birth, data are constantly being collected, assessed, and re-assessed as we grow. I also support the quantitative data because it is much used and almost whatever we do involves it. 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. I still have to know some disadvantages and advantages though. I think a qualitative approach is more imperative. It provides greater richness and more detailed information about a smaller number of people. I think qualitative research is easier to make meaning from, as it simplifies the phenomena by giving details on the issues.

I beg to differ from most comments. Quantitative research, however, involves more planning, which becomes a disadvantage. For instance all aspects of a research study must be carefully designed before collecting any data. A researcher needs a concrete hypothesis and needs to know the type of research involvedsuch as questionnaires and test questions.

With qualitative research, the design typically emerges as the research study develops. Quantitative research depends on data and involves testing a hypothesis, but it can miss contextual details.

For example, a researcher doesn't provide a detailed description when using quantitative research. Instead the researcher depends on numbers and statistics to prove a hypothesis. A researcher researching diabetes medication, for instance, might record how many times a research participant missed the medication but not the details of what happened during a participant's day to cause him to forget to take the diabetes medication.

Demetrius Sewell is an experienced journalist who, since , has been a contributing writer to such websites as Internet Brands and print publications such as "Cinci Pulse. She has a master's degree in English. The Definition of a Problem Statement.

How to Define Research Design. How to Conduct Social Science Research. Accessed 14 September Depending on which text editor you're pasting into, you might have to add the italics to the site name. Qualitative Verses Quantitative Research:

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Annex 1: Strengths and weaknesses of quantitative evaluation designs. Strengths. Weaknesses. Research methods are inflexible because the instruments cannot be modified once the study begins. Reduction of data to numbers results in lost information.

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Strengths and limitations; 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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Strengths and Weaknesses of Quantitative Research - Download as Word Doc .doc /.docx), PDF File .pdf), Text File .txt) or read online.5/5(1). Evaluation among the strengths and weaknesses of quantitative and qualitative research methodologies also the objective for this study in the field of social science. The Strengths and Weaknesses of Research Methodology: Comparison and Complimentary between.

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When researching a topic such as television trends or diabetes medications, a researcher has two research methods to choose from: qualitative and quantitative. Qualitative research relies on words to explain research findings; it may use interviews or focus groups. Quantitative research involves creating a hypothesis. Strengths and Weaknesses of Quantitative and Qualitative Research. Insights from Research behavior patterns, and use cases. Each of these approaches has strengths and weaknesses, and each can benefit from our combining them with one another. While quantitative research requires the standardization of data collection to allow .