Neal Kaplan I'm a director of technical communications working for a data analysis startup in Redwood City. I started as a technical writer, and since then I've also been learning about information architecture, training, content strategy, and even something about customer support. I'm also passionate about cross-team collaboration and user communities.

What are the good points of quantitative research?

2 min read

  • You can get a higher sample size with the quantitative approach.
  • When using quantitative research, you can collect information very quickly.
  • Random samples are used in quantitative research.
  • When using quantitative research results can be duplicated.

The research uses an empirical approach to investigate observable phenomena. Computational techniques, mathematics, and statistical models are used to develop hypotheses about specific ideas.

It’s easier to reach an accurate conclusion when you have the ability to study a larger sample size. The more data you get from this work, the more credibility you will have. A larger sample makes it less likely that outliers will affect the results you want to achieve.

It is easier to find correlations when there is less delay in the acquisition of these resources. Quantitative research does not require the separation of systems or the identification of variables to produce results. Personal bias can enter the data spectrum when research participants suspect that a study wants to achieve a specific result. The answers provided on the included materials are partial truths or lies that are used to manipulate the work.

Over time, there can be minute variations, but the general conclusions that researchers develop when using this process stay accurate. The quantitative approach can be used to study a specific thing in the general population. It is easier to discover pain points when we understand the meaning behind the decisions that people make. If researchers can verify that individuals fit in the demographic profile of their study group, they don’t need to provide personal information.

The anonymous nature of quantitative research makes it useful for data collection because people are more likely to share an honest perspective when there are guarantees that their feedback won’t come back to haunt them. When interviews or surveys are part of the work, the personal information is not an identifying trademark. There isn’t a requirement to directly observe each participant when researchers follow specific protocols. The amount of data that researchers collect from the quantitative process is always useful despite the difficulty of the questions asked.

The goal is to paint a present-time picture of what is happening in a demographic. Although the impact of randomization adds validity to the final result, there can be times when the information isn’t usable.

One person might decide to buy pizza because they don’t feel like cooking at home after a long day at work. A majority of a population demographic will feel a specific way about a situation because of the data that researchers collect.

The statistics that researchers gather when using this approach are useful for generalizations that let you see if goods or services earn a passing grade in a specific demographic. The approach of working with groups of people to get answers is 40% cheaper than other methods, but it is still problematic for small businesses to manage. The data always has a hint of doubt to it, even when generalizing the results to the rest of the population, because direct observation isn’t always possible with this approach.

There is always a risk that the answers or characteristics given in a quantitative study aren’t an accurate representation of the entire population.

What are four good points of quantitative research?

Quantitative researchers want their research to be measurable, focus on causation, to be generalisable, and to be replicable.

What are the good points of quantitative research which makes it important to researchers?

The importance of quantitative research is that it can provide sample sizes, confidence intervals and descriptive statistics for every variable and the value of the test statistic, its significance level, degrees of freedom and the direction it needs to take.

What is good about quantitative research?

Quantitative studies are often fast and focused. The speed and efficiency of the quantitative method are attractive to many researchers. Even with large sample sizes, data computing equipment can process and analyze data quickly.

What are the strong points that made quantitative research good to use?

  • Limitations of Strengths
  • — —
  • It’s easy to understand the context of a phenomenon.
  • Data can be reliable and accurate, but it may not be robust enough to explain complex issues.

A quantitive data is a piece of information that can be counted and which is usually gathered by surveys from large numbers of respondents. Small numbers of tools are used by participants in qualitative studies. In the next lesson, learn more about using quantitative and qualitative approaches in studies.

Neal Kaplan I'm a director of technical communications working for a data analysis startup in Redwood City. I started as a technical writer, and since then I've also been learning about information architecture, training, content strategy, and even something about customer support. I'm also passionate about cross-team collaboration and user communities.

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