By: Donna C.
12 min read
Reviewed By: Rylee W.
Published on: Sep 15, 2020
How do researchers know what to study and how to study it? Quantitative research is one method used to answer these questions. This type of research relies on numbers and calculations to come up with results.
It is one of the two methods when working on your research and writing a research paper for it. This research is a great tool for answering specific questions.
The goal of this research is to capture and understand its subject matter in the truest reality. It has an emphasis on natural settings. It is the most common type of research conducted in the social sciences, and it has a variety of applications.
In this blog post, we'll define quantitative research, discuss its methods and types. Also, give some examples of where it's been used successfully. By the end of this post, you'll have a good understanding of this important research tool for sure.
So, let’s get this started!
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What is quantitative research?
Quantitative research is a systematic investigation of the world by gathering quantifiable data and performing statistical, mathematical, or computational techniques. This type comes with two major categories; informative and expressive.
All these examples seek to understand their subject matters in an accurate manner. It can be achieved through sampling methods like online polls and questionnaires depending on needs.
The future is always uncertain, but with this knowledge, we can make smart decisions to ensure success.
What we can learn from this research method is how logical and unbiased the results are. The data collection process goes beyond a single population to represent an entire group, which makes it more accurate!
Below are some characteristics of quantitative research.
Extensive Sample - Using a large sample size, this study represents the people whose findings will most impact.
Inclusive Results - The results of this experiment could be applied to a wide population.
Closed-ended Questions - Asking research questions is one of the most important aspects when conducting any type or form of survey. Responses should be objective-based and allow respondents to choose between ‘Yes’, 'No', or ‘don't know’ options.
Methodical Tools - Methodical tools help you collect more accurate and detailed information. A great way to do this would be through surveys or polls.
Previous Research - You should always conduct thorough research and study the results of previous studies before you start your experiment.
‘What are the four types of quantitative research?’
There are four types of quantitative research, and they all hold equal importance to scientists.
Primary quantitative research is more common and useful than secondary methods. It's because, in this method, you collect your data directly from respondents rather than relying on a second source!
The quantitative research design types are listed below.
1. Survey Research
Online surveys are a popular way to get customer feedback. By creating a questionnaire, you can survey your customers and learn what they need from the service offered by your business.
Here are the most common types of surveys listed.
The researchers conduct a study on the selected group of people, and offer insights of how they think. The chosen individuals have many similarities in all aspects except those omitted by the researcher.
A small-scale business may be interested in this research because it gives an idea about what their customers are thinking.
It includes the retail sector or healthcare industry. While another company might use these findings for marketing purposes. Such as showcasing new product lines at trade shows before launching them into markets.
Longitudinal studies are used in medicine and marketing to study how people's behavior changes over time. There is one particular type of this kind that can observe an individual for years before drawing any conclusions about them.
However, it could be days or months, depending on what you're looking at regarding your subjects' behaviors throughout the entire span.
2. Experimental Research
This type of research aims to prove or disprove a theory. It's also known as ‘true experimentation,’ and it usually involves single or multiple theories related to natural science and social sciences.
3. Causal-comparative Research
This research is a type of study that uses the cause and effect relationship between dependent and independent variables.
It's also known as quasi-experimental research because one cannot be changed without affecting another independent or dependent variable. Researchers use it to determine why certain behaviors change depending on different factors.
4. Correlational Research
Correlational research is a study that looks at the relationship between two things. These entities must have some sort of impact on one another.
It can be anything from people, places, or even events to establish whether there's any connection at all between them. Whether negative or positive, trends might play out over time - or both!
A lot goes into this kind of analysis: math/statistics mixed with data collection techniques. Such as interviewing people who may know about that certain issue.
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The right data collection method is crucial after determining your research type. For example, polling and sampling are both a way to gather information. Still, they have different drawbacks in terms of accuracy, so you need to choose which approach best suits the task.
There are two types of sampling methods used in quantitative research: probability sampling and non-probability sampling.
1. Probability Sampling
The data is collected by taking a few people from the general population and creating samples. These samples are chosen at random without any particular selection criteria in mind.
In this sampling, there can be many different types of individuals represented within them.
Probability sampling is further classified as follows.
2. Nonprobability Sampling
The perfect way to gather data is by using a well-designed study. This type of research makes sure that only specific people get chosen. The criteria for this survey have been set out beforehand in advance, so there are no surprises along the way!
Collecting data from a selected group of people is important for any research project. The most popular way to do this would be through surveys and polls. It gives you insight into what's happening within your specific demographic.
Researchers use four different criteria to measure question responses include nominal, interval, ordinal, and ratio scales. These are all important in answering questions!
It is important to use close-ended questions to analyze and rate your survey accurately. You should also respond with rating scales, which will help ensure the data collected has been helpful for analysis.
When it comes to surveying your customers, there are several different methods of research that you can use.
Below is information on how some companies distribute surveys and ask their target audience for the feedback!
The third important aspect of quantitative research is data analysis. When analyzing, it's important that results are relevant and related to your objective.
The following methods can be used for statistical analysis:
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Quantitative and qualitative research are major types of research. They're mostly used in subjects with detailed research patterns, so what distinguishes them from each other?
A comparison between the two is provided below.
|Quantitative Research vs Qualitative Research|
|Quantitative Research||Research Perspective||Qualitative Research|
|Test the hypothesis and analyze research questions and aspects||Research Objective||Look for new ideas and research new elements|
|Testing and analyzing||Research Method||Observation and interpretation of the results|
|Structured||Data Collection Method||Unstructured|
|Uninvolved and the results are all-inclusive||Researcher Involvement||Involved and the results are detailed|
|Samples are large, and results are generalized||Sampling||Samples are small and in their natural state|
The benefits of quantitative research are many, and researchers can benefit in ways that they may not have even considered. Here's a list of some strengths:
The ease of sampling and collecting quantitative data is why researchers prefer to use quantitative research methods. The second, more practical advantage of this type of study design? You can easily reproduce your findings!
Here are some limitations of quantitative research, a researcher should consider.
Setting up a research model is often a limitation to quantitative studies. These include errors committed during execution or design, which can invalidate all future results from the experiment if not fixed properly.
When you conduct quantitative research, the accuracy of your results relies on developing a hypothesis. It also depends on setting up the model for collecting data. Any errors in setup or bias can invalidate all findings from this experiment altogether.
The risks of overlooking big-picture information while focusing on numbers can make quantitative research limited.
Researchers should be aware that they may overlook themes and relationships, which are worth exploring for the sake of business success.
Many people assume that because quantitative research is based on statistics, it's more scientific than observational, qualitative studies.
But this isn't necessarily true! Both kinds of research can have subjective and flawed perspectives, likely bias your results.
Quantitative Research Examples
The following are some examples of quantitative research to help you understand it better.
Sample Quantitative Research
Example OF Quantitative Research For Students
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The most common way to collect data is by interviewing people and observing their behavior.
This type of observation can be done in person, over the phone, or online through surveys/interviews, etc.
Donna has garnered the best reviews and ratings for her work. She enjoys writing about a variety of topics but is particularly interested in social issues, current events, and human interest stories. She is a sought-after voice in the industry, known for her engaging, professional writing style.
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