By: Donna C.
11 min read
Reviewed By: Rylee W.
Published on: Oct 7, 2022
When it comes to research, quantitative data is king. This type of information is collected through empirical observation and is measured using numbers. It's used to measure variables, test hypotheses, and analyze data.
By its very nature, quantitative research produces results that are more concrete and reliable than qualitative research. However, there are some nuances to consider when conducting this kind of study.
Are you interested in conducting quantitative research but not sure where to start?
In this blog post, we'll provide a complete guide to quantitative research with plenty of examples to help you get started.
So let's get started!
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What is quantitative research?
Quantitative research is a way of systematically investigating the world by gathering data that can be measured. This type of research can be divided into two categories: informative and expressive.
All these examples are trying to understand their subject matter in an accurate way. This can be done by using methods like online polls and questionnaires, depending on what is needed. The future is always uncertain, but with this knowledge, we can make smart decisions to ensure our success.
The results from this research method are logical and unbiased. The data collection process goes beyond a single population to represent an entire group, making the results more accurate!
What are the tools used in quantitative research?
There are many different ways to collect data. Questionnaires, participants observations, focus groups, and interviews are some of the most common methods.
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Here are some characteristics of quantitative research.
‘What are the four types of quantitative research?’
There are four types of quantitative research, and they all hold equal importance to scientists.
When it comes to collecting data, the primary method of doing so is far more common and useful than secondary methods.
This isn't because we're relying on a second source; rather this type allows us access information from respondents themselves!
The quantitative research design types are listed below.
1. Survey Research
Creating an online survey is a great way for businesses to get customer feedback. These surveys are often interactive, which means they allow open feedback from participants.
Here are the most common types of surveys listed.
This kind of research is used for industries like retail, small-scale businesses, and healthcare industries. It helps them understand their customers better.
2. Experimental Research
Scientific research is often done to prove or disprove a theory. This is called ‘true experimentation,’ and it usually involves theories about natural science and social sciences.
3. Causal-comparative Research
This research is a study that looks at the cause and effect between different things. Researchers use it to see how things change when something else changes. This type of research is also called quasi-experimental research.
4. Correlational Research
Correlational research is a type of study that looks at the relationship between two things. These entities must have some sort of impact on each other. Different things can be compared to see if there is a connection between them. This can be positive or negative.
This kind of content analysis involves a lot of math and statistics. You need to collect data using techniques like conducting in-depth interviews.
You need to choose the data collection method that is best for the task after you have determined the research type.
For example, polling and sampling are both ways to gather information. However, they have different accuracy levels, so you need to be careful in choosing which one to use.
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:
Quantitative and qualitative approaches 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 is a type of research that is used in detailed research patterns. It uses data to answer specific questions. On the other hand, the qualitative research method uses words and pictures to answer questions about people's feelings and experiences.
Here is a table that shows the difference between quantitative vs. qualitative research and data collection methods in a clear way.
|Quantitative Research vs Qualitative Research|
|Quantitative Research||Research Perspective||Qualitative Research|
|Test the hypothesis and analyze research questions and aspects||Research Objective||Qualitative data analysis look for new ideas|
|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 in qualitative study|
|Samples are large, and results are generalized||Sampling||Samples are small and in their natural setting|
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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:
You can reduce bias in your data by making sure that it's more objective and transparent than other types of studies.
Quantitative research has applications in all business areas, from picking stocks to evaluating portfolios. The association between prestige and value can be an incentive for your small businesses.
Researchers use quantitative research methods because they are easy to sample and collect data. Additionally, this type of study design is easily reproducible, meaning your findings can be replicated by other researchers.
Here are some limitations of quantitative research, a researcher should consider.
This is because errors that are made during the execution or design of the study can invalidate all future results. If these errors are not fixed, the study will be useless.
When you do research, the accuracy of your results depends on developing a hypothesis. It also depends on setting up the model for collecting data correctly.
Any errors in setup or bias can invalidate all findings from this experiment.
However, this isn't always the case! Both kinds of research can have subjective and flawed perspectives, which can bias your results.
The following are some examples of quantitative research to help you understand it better.
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For her job, Donna has received the highest reviews and ratings. She likes writing about a wide range of themes, but her main interests are social issues, current events, and human interest stories. In the field, she is recognized for her dynamic, professional writing style that engages readers.
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