Qualitative research focuses on understanding concepts and experiences through non-numerical data, such as interviews and observations. Quantitative research, on the other hand, measures variables and tests theories using numerical data such as surveys and experiments. The key difference lies in their approach: qualitative is exploratory, while quantitative is statistical.
Qualitative and quantitative data are broad categories covering many research approaches and methods. While both share the primary aim of knowledge acquisition, quantitative research is numeric and objective, seeking to answer questions like when or where. On the other hand, qualitative research is concerned with subjective information that can’t be numerically measured, like how different people experience joy.
Keep reading to learn about the differences and similarities between qualitative vs quantitative research, including their research techniques, their approach to data analysis tasks, and strengths and limitations of each approach. We’ll also briefly examine mixed-method research, which incorporates elements of both methodologies.
Key Findings on Qualitative vs Quantitative Research
- Different Research Aims: Qualitative research explores subjective experiences and meanings, while quantitative research measures variables and tests hypotheses through numerical data.
- Distinct Methods and Sources: Qualitative studies rely on interviews, focus groups, and observations, whereas quantitative studies use surveys, experiments, and statistical analysis.
- Study Design and Samples: Qualitative research uses smaller, flexible, context-driven samples, while quantitative research depends on larger, often randomized samples with structured designs.
- Data Analysis Approaches: Qualitative analysis involves coding and interpreting narratives, while quantitative analysis uses statistical tools such as cross-tabulation, trend analysis, and descriptive statistics.
- Strengths and Limitations: Qualitative research allows deeper insights but risks bias and limited scope; quantitative research provides precision and generalizability but may lack context and personal detail.
What is Qualitative Research?
Qualitative research is a method of inquiry that explores experiences, behaviors, and meanings through non-numerical data such as interviews, observations, and open-ended responses. It aims to gain insights into phenomena, groups, or experiences that can’t be objectively measured or quantified using mathematics. Instead of seeking to uncover precise answers or statistics in a controlled environment like quantitative research, qualitative research is more exploratory, drawing upon data sources such as photographs, journal entries, video footage, and interviews.
These features stand in stark contrast to quantitative research, as we’ll see throughout the remainder of this article.
What is Quantitative Research?
Quantitative research is a method of inquiry that collects and analyzes numerical data to measure variables, test hypotheses, and identify statistical patterns. Instead of probing for subjective meaning by asking exploratory “how?” and “why?” questions, quantitative research provides precise causal explanations that can be measured and communicated mathematically. While qualitative researchers might visit subjects in their homes or otherwise in the field, quantitative research is usually conducted in a controlled environment. Instead of gaining insight or understanding into a subjective, context-dependent issue, as is the case with qualitative research, the goal is to obtain objective information, such as determining the best time to undergo a specific medical procedure.
How Does Qualitative and Quantitative Research Differ?
How are the approaches of quantitative and qualitative research different?
In qualitative studies, data is usually gathered in the field from smaller sample sizes, which means researchers might personally visit participants in their own homes or other environments. Once the research is completed, the researcher must evaluate and make sense of the data in its context, looking for trends or patterns from which new theories, concepts, narratives, or hypotheses can be generated.
Quantitative research is typically carried out via tools (such as questionnaires) instead of by people (such as a researcher asking interview questions). Another significant difference is that, in qualitative studies, researchers must interpret the data to build hypotheses. In a quantitative analysis, the researcher sets out to test a hypothesis.
Qualitative vs. Quantitative Research at a Glance
| Dimension | Qualitative Research | Quantitative Research |
|---|---|---|
| Data type | Non-numerical (words, images, observations) | Numerical (statistics, measurements) |
| Question focus | “Why” and “how” | “How many” and “how often” |
| Approach | Exploratory, open-ended | Statistical, controlled |
| Sample size | Smaller, flexible, context-driven | Larger, often randomized |
| Analysis | Interpret and code themes | Statistical tools and calculations |
| Hypothesis | Generate hypotheses | Test hypotheses |
Watch: Qualitative vs. Quantitative Research Explained
Still not sure how qualitative and quantitative research differ in practice? This short video from National University breaks down both approaches with clear definitions, examples, and pros and cons.
You’ll also learn when to use each method and how combining them in a mixed-methods approach can strengthen your research. It’s a helpful overview for anyone preparing to start a dissertation or looking to sharpen their professional research skills.
What’s the Difference Between a Qualitative and Quantitative Study?
Both qualitative and quantitative studies are subject to rigorous quality standards. However, the research techniques utilized in each type of study differ, as do the questions and issues they hope to address or resolve. In quantitative studies, researchers tend to follow more rigid structures to test the links or relationships between different variables, ideally based on a random sample. On the other hand, in a qualitative study, not only are the samples typically smaller and narrower (such as using convenience samples), the study’s design is generally more flexible and less structured to accommodate the open-ended nature of the research.
Below are a few examples of quantitative and qualitative research techniques to illustrate the differences further.
Sources of Quantitative Research
Some example methods of quantitative research methods or sources include, but are not limited to, the following:
- Conducting polls, surveys, and experiments
- Compiling databases of records and information
- Observing the topic of the research, such as a specific reaction
- Performing a meta-analysis, which involves analyzing multiple prior studies in order to identify statistical trends or patterns
- Supplying online or paper questionnaires to participants
The following section will cover some examples of qualitative research methods for comparison, followed by an overview of mixed research methods that blend components of both approaches.
Sources of Qualitative Research
Researchers can use numerous qualitative methods to explore a topic or gain insight into an issue. Some sources of, or approaches to, qualitative research include the following examples:
- Conducting ethnographic studies, which are studies that seek to explore different phenomena through a cultural or group-specific lens
- Conducting focus groups
- Examining various types of records, including but not limited to diary entries, personal letters, official documents, medical or hospital records, photographs, video or audio recordings, and even minutes from meetings
- Holding one-on-one interviews
- Obtaining personal accounts and recollections of events or experiences
Examples of Research Questions Best Suited for Qualitative vs. Quantitative Methods
Qualitative Research Questions:
- How do patients experience the process of recovering from surgery?
- Why do some employees feel more motivated in remote work environments?
- What are the cultural influences on dietary habits among teenagers?
Quantitative Research Questions:
- What is the average recovery time for patients after surgery?
- How does remote work impact employee productivity levels?
- What percentage of teenagers adhere to recommended dietary guidelines?
These examples illustrate how qualitative research delves into the depth and context of human experiences, while quantitative research focuses on measurable data and statistical analysis.
Mixed Methods Research
In addition to the purely qualitative and quantitative research methods outlined above, such as conducting focus groups or performing meta-analyses, it’s also possible to take a hybrid approach that merges both methodologies.
Mixed-methods research collects, analyzes, and integrates both quantitative and qualitative data in a single study. The combination yields a fuller understanding than either method alone, and triangulation, using multiple data sources to cross-verify findings, is a common way to integrate the two. This hybrid approach lets you capture the measurable scale of quantitative research while preserving the “why” and “how” depth that qualitative methods provide.
National University’s master’s and doctoral programs let students apply qualitative, quantitative, and mixed-methods research through a research or practical capstone.
If you’re enrolled as a National University student, you can watch a video introduction to mixed-method research (NU student login required) through our resource library. The library also covers qualitative and quantitative research methodologies (NU student login required) and a video breakdown of when to use which approach.
Analyzing Qualitative and Quantitative Data
When it comes to quantitative and qualitative research, methods of collecting data differ, as do the methods of organizing and analyzing it. So, what are some best practices for analyzing qualitative and quantitative data sets, and how do they call for different approaches by researchers?
How to Analyze Qualitative Data
Below is a step-by-step overview of how to analyze qualitative data.
- Make sure all of your data is finished being compiled before you begin any analysis.
- Organize and connect your data for consistency using computer-assisted qualitative data analysis software (CAQDAS).
- Code your data, which can be partially automated using a feedback analytics platform.
- Start digging deep into analysis, potentially using augmented intelligence to get more accurate results.
- Report on your findings, ideally using engaging aids to help tell the story.
How to Analyze Quantitative Data
There are numerous approaches to analyzing quantitative data. Some examples include cross-tabulation, conjoint analysis, gap analysis, trend analysis, and SWOT analysis, which refers to Strengths, Weaknesses, Opportunities, and Threats.
Whichever system or systems you use, there are specific steps you should take to ensure that you’ve organized your data and analyzed it as accurately as possible. Here’s a brief four-step overview.
- Connect measurement scales to study variables, which helps ensure that your data will be organized in the appropriate order before you proceed.
- Link data with descriptive statistics, such as mean, median, mode, or frequency.
- Determine what measurement scale you’ll use for your analysis.
- Organize the data into tables and conduct an analysis using methods like cross-tabulation or Total Unduplicated Reach and Frequency (TURF) analysis.
When to Use Qualitative or Quantitative Research
Simply knowing the difference between quantitative and qualitative research isn’t enough, you also need an understanding of when each approach should be used and under what circumstances. For that, you’ll need to consider all of the comparisons we’ve made throughout this article and weigh some potential pros and cons of each methodology.
Pros and Cons of Qualitative Research
Qualitative research has numerous strengths, but the research methodology is only more appropriate for some projects or dissertations. Here are some strengths and weaknesses of qualitative research to help guide your decision:
- Pro — More flex room for creativity and interpretation of results
- Pro — Greater freedom to utilize different research techniques as the study evolves
- Pro — Rich, contextual insights that reveal the “why” behind behaviors and experiences
- Pro — Strong foundation for generating new hypotheses and theories
- Con — Potentially more vulnerable to bias due to their subjective nature
- Con — Sample sizes tend to be smaller and non-randomized
- Con — Analysis can be time-intensive and harder to standardize
Pros and Cons of Quantitative Research
Quantitative research also comes with drawbacks and benefits, depending on what information you aim to uncover. Here are a few pros and cons to consider when designing your study.
- Pro — Large, random samples help ensure that the broader population is more realistically reflected
- Pro — Specific, precise results can be easily communicated using numbers
- Pro — Findings are often generalizable and reproducible across settings
- Con — Data can suffer from a lack of context or personal detail around participant answers
- Con — Numerous participants are needed, driving up costs while posing logistical challenges
- Con — May miss nuances that numbers alone can’t capture
Develop Your Research Skills at National University
If you dream of making a scientific breakthrough and contributing new knowledge that revolutionizes your field, you’ll need a strong foundation in qualitative vs quantitative research, from how it’s conducted and analyzed to a clear understanding of professional ethics and standards. By pursuing your degree at National University, you build stronger research skills and countless other in-demand job skills.
With flexible course schedules, convenient online classes, scholarships, financial aid, and an inclusive, military-friendly culture, higher education has never been more accessible or achievable. At National University, you’ll find opportunities to challenge and hone your research skills with accredited undergraduate, master’s, and doctoral programs and fast-paced credential and certificate programs.
Contact our admissions office to request program information, or apply to National University online today.
Frequently Asked Questions
Qualitative research explores experiences and meanings through non-numerical data like interviews and observations, while quantitative research measures variables and tests hypotheses using numerical data from surveys and experiments. Put simply: qualitative asks “why” and “how”; quantitative asks “how many” and “how often.”
Qualitative data includes interview transcripts, focus group notes, photographs, and open-ended survey responses. Quantitative data includes test scores, survey ratings, sales figures, and any measurement expressed as a number.
If you’re exploring experiences, motivations, or meanings without numerical measurement, your study is qualitative. If you’re collecting numerical data to test a hypothesis or measure variables, it’s quantitative. Some studies combine both approaches, that’s mixed methods.
It depends on the survey design. Closed-ended questions with numerical ratings or scales produce quantitative data. Open-ended questions that ask participants to describe their experiences produce qualitative data. Many surveys include both.
Mixed-methods research collects, analyzes, and integrates both qualitative and quantitative data in a single study. Researchers use this approach when combining numerical measurement with contextual depth provides a fuller understanding than either method alone.
Qualitative research offers rich context and flexibility but can be time-intensive and vulnerable to bias. Quantitative research delivers precise, generalizable results but may miss nuance and context. The best choice depends on your research question and goals.
