1

Qualitative Vs. Quantitative Research — A step-wise guide to conduct research

A research study includes the collection and analysis of data. In quantitative research, the data are analyzed with numbers and statistics, and in qualitative research, the data analyzed are non-numerical and perceive the meaning of social reality.

What Is Qualitative Research?

Qualitative research observes and describes a phenomenon to gain a deeper understanding of a subject. It is also used to generate hypotheses for further studies. In general, qualitative research is explanatory and helps understands how an individual perceives non-numerical data, like video, photographs, or audio recordings. The qualitative data is collected from diary accounts or interviews and analyzed by grounded theory or thematic analysis.

When to Use Qualitative Research?

Qualitative research is used when the outcome of the research study is to disseminate knowledge and understand concepts, thoughts, and experiences. This type of research focuses on creating ideas and formulating theories or hypotheses.

Benefits of Qualitative Research

  • Unlike quantitative research, which relies on numerical data, qualitative research relies on data collected from interviews, observations, and written texts.
  • It is often used in fields such as sociology and anthropology, where the goal is to understand complex social phenomena.
  • Qualitative research is considered to be more flexible and adaptive, as it is used to study a wide range of social aspects.
  • Additionally, qualitative research often leads to deeper insights into the research study. This helps researchers and scholars in designing their research methods.

Qualitative Research Example

In research, to understand the culture of a pharma company, one could take an ethnographic approach. With an experience in the company, one could gather data based on the —

  • Field notes with observations, and reflections on one’s experiences of the company’s culture
  • Open-ended surveys for employees across all the company’s departments via email to find out variations in culture across teams and departments
  • Interview sessions with employees and gather information about their experiences and perspectives.

What Is Quantitative Research?

Quantitative research is for testing hypotheses and measuring relationships between variables. It follows the process of objectively collecting data and analyzing it numerically, to determine and control variables of interest. This type of research aims to test causal relationships between variables and provide generalized results. These results determine if the theory proposed for the research study could be accepted or rejected.

When to Use Quantitative Research?

Quantitative research is used when a research study needs to confirm or test a theory or a hypothesis. When a research study is focused on measuring and quantifying data, using a quantitative approach is appropriate. It is often used in fields such as economics, marketing, or biology, where researchers are interested in studying trends and relationships between variables.

Benefits of Quantitative Research

  • Quantitative data is interpreted with statistical analysis. The type of statistical study is based on the principles of mathematics and it provides a fast, focused, scientific and relatable approach.
  • Quantitative research creates an ability to replicate the test and results of research. This approach makes the data more reliable and less open to argument.
  • After collecting the quantitative data, expected results define which statistical tests are applicable and results provide a quantifiable conclusion for the research hypothesis
  • Research with complex statistical analysis is considered valuable and impressive. Quantitative research is associated with technical advancements like computer modeling and data-based decisions.

Quantitative Research Example

An organization wishes to conduct a customer satisfaction (CSAT) survey by using a survey template. From the survey, the organization can acquire quantitative data and metrics on the brand or the organization based on the customer’s experience. Various parameters such as product quality, pricing, customer experience, etc. could be used to generate data in the form of numbers that is statistically analyzed.

qualitative vs. quantitative research

Data Collection Methods

1. Qualitative Data Collection Methods

Qualitative data is collected from interview sessions, discussions with focus groups, case studies, and ethnography (scientific description of people and cultures with their customs and habits). The collection methods involve understanding and interpreting social interactions.

Qualitative research data also includes respondents’ opinions and feelings, which is conducted face-to-face mostly in focus groups. Respondents are asked open-ended questions either verbally or through discussion among a group of people, related to the research topic implemented to collect opinions for further research.

2. Quantitative Data Collection Methods

Quantitative research data is acquired from surveys, experiments, observations, probability sampling, questionnaire observation, and content review. Surveys usually contain a list of questions with multiple-choice responses relevant to the research topic under study. With the availability of online survey tools, researchers can conduct a web-based survey for quantitative research.

Quantitative data is also assimilated from research experiments. While conducting experiments, researchers focus on exploring one or more independent variables and studying their effect on one or more dependent variables.

A Step-wise Guide to Conduct Qualitative and Quantitative Research

  1. Understand the difference between types of research — qualitative, quantitative, or mixed-methods-based research.
  2. Develop a research question or hypothesis. This research approach will define which type of research one could choose.
  3. Choose a method for data collection. Depending on the process of data collection, the type of research could be determined.
  4. Analyze and interpret the collected data. Based on the analyzed data, results are reported.
  5. If observed results are not equivalent to expected results, consider using an unbiased research approach or choose both qualitative and quantitative research methods for preferred results.

Qualitative Vs. Quantitative Research – A Comparison

Qualitative Research Quantitative Research
It helps understand human behavior to find the way people think and analyze their experiences. It aims to compute numbers and perform statistical analysis.
These research methods are ideal when there is no fixed set of questions, and the discussion is useful to explore issues. It helps generate numerical data and hard facts using statistical, logical, and mathematical techniques.
The time consumed for planning is less as compared to the analysis phase. The time consumed for planning is more as compared to the analysis phase.

 

With an awareness of qualitative vs. quantitative research and the different data collection methods, researchers could use one or both types of research approaches depending on their preferred results. Moreover, to implement unbiased research and acquire meaningful insights from the research study, it is advisable to consider both qualitative and quantitative research methods.

Through this article, you would have understood the comparison between qualitative and quantitative research. However, if you have any queries related to qualitative vs. quantitative research, do comment below or email us.

1 Comment
  1. Fungai Moyo says
    (5/5)

    Well explained and easy to understand.

Rate this article

Rating*

Your email address will not be published.

You might also like
X

Sign-up to read more

Subscribe for free to get unrestricted access to all our resources on research writing and academic publishing including:

  • 2000+ blog articles
  • 50+ Webinars
  • 10+ Expert podcasts
  • 50+ Infographics
  • Q&A Forum
  • 10+ eBooks
  • 10+ Checklists
  • Research Guides
[contact-form-7 id="40123" title="Global popup two"]





    Researchers' Poll

    What should universities' stance be on AI tools in research and academic writing?