Skip Nav

Annex 1: Strengths and weaknesses of quantitative evaluation designs

Labour intensive approach

❶If a p-value is less than. Quantitative studies often employ automated means of collecting data such as surveys, but we can also use other static methods—for example, examining preferences through two-alternative, forced-choice studies or examining error rates and time on task using competitive benchmarks.

Language & Lit

Improper representation of the target population
No result verification in qualitative research
Qualitative Studies

QUANT estimates can be obtained of the costs and benefits of interventions. Clear documentation can be provided regarding the content and application of the survey instruments so that other researchers can assess the validity of the findings.

Standardized approaches permit the study to be replicated in different areas or over time with the production of comparable findings. It is possible to control for the effects of extraneous variables that might result in misleading interpretations of causality although this can be challenging in the natural settings of evaluations.

Many kinds of information are difficult to obtain through structured data collection instruments, particularly on sensitive topics such as domestic violence or income. Many groups such as sex workers, drug users, illegal immigrants, squatters and ethnic minorities are always difficult to reach, but the problems are often greater for QUANT data collection methods. Self-reported information obtained from questionnaires may be inaccurate or incomplete. There is often no information on contextual factors to help interpret the results or to explain variations in behavior between households with similar economic and demographic characteristics.

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. 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

You are here

Main Topics

Privacy Policy

Limitations and weakness of quantitative research methods By Priya Chetty on September 7, According to Saunders et al. (), research methodology serves as the backbone of a research study.

Privacy FAQs

Using quantitative research has many advantages. For example, quantitative research allows a researcher to objectively detail evidence. However, quantitative research also has disadvantages. Analysis. Qualitative research relies on specific evidence rather than generalized research.

About Our Ads

Research methods are inflexible because the instruments cannot be modified once the study begins. Reduction of data to numbers results in lost information. The correlations produced (e.g., between costs and benefits, gender, and access to services or benefits) may mask or . Not a weakness, just a risk: if the researcher or team is not trained or skilled in both Quant and Qual, s/he risks erroneous assumptions, may assign distorted values to the data, or may determine an incorrect pathway for the analysis.

Cookie Info

Weaknesses _ It can be difficult for a single researcher to carry out both qualitative and quantitative research. and narrative can be used to add meaning to numbers. _ Can answer a broader and more complete range of research questions because the researcher is 5/5(1). Download Citation on ResearchGate | The strengths and weaknesses of quantitative and qualitative research: what method for nursing? | The overall purpose of research for any profession is to discover the truth of the discipline.