National University
nu.edu › blog › qualitative-vs-quantitative-study
What Is Qualitative vs. Quantitative Study? | National University
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.
Published April 27, 2023
ELI5: the difference between qualitative and quantitative analysis
Quantitative has to do with numbers. Like measuring the numerical temperature for a substance. Qualitative describes the substance, such as the color, size, ect.
More on reddit.comDo Data Analyst Deal With Both Quantitative and Qualitative Data?
You can import your SQL data into R then use the text mining package, I did this to give HR better insight on qualitative questions in their annual employee engagement survey, some will argue Python is better but I just used R as I wanted to get it onto my CV..was able to establish correlation between words and used a matrix and frequency of terms per age, sex, department, role, geographic location albeit a bit basic but you can implement stop words to filter out the trash and they had no current solution to enhance More on reddit.com
In your opinion, what's the biggest difference between "data science" and "quantitative research methods?"
Bit of a shower thought here. But really: is "data science" just "qualitative research" with 21-st century window dressing, or is there something categorically different about it?
Which is it? Quantitative or qualitative?
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Simply Psychology
simplypsychology.org › research methodology › qualitative vs quantitative research: what’s the difference?
Qualitative vs Quantitative Research: What's the Difference?
May 16, 2025 - Quantitative research often allows quicker data collection and analysis, especially with standardized tools and statistical software. Qualitative research involves collecting and analyzing non-numerical data, such as text, audio, or visual materials, to understand people’s experiences, perceptions, and meanings.
PubMed Central
pmc.ncbi.nlm.nih.gov › articles › PMC3327344
Broadening horizons: Integrating quantitative and qualitative research - PMC
Quantitative research is very well suited to establishing cause-and-effect relationships, to testing hypotheses and to determining the opinions, attitudes and practices of a large population, whereas qualitative research lends itself very well to developing hypotheses and theories and to describing processes such as decision making or communication processes.
Purdue University
engineering.purdue.edu › AMEE › education › qualitative-quantitative
Qualitative vs Quantitative - Adaptive Materials and Engineering Education Lab - Purdue University
June 26, 2024 - For example any survey that asks you to rank things using "strongly agree", "agree", "neither agree nor disagree" etc. is converting your opinion into numbers, which then can be evaluated using quantitative methods. In theory this type of analysis should be generalizable to broader populations. Qualitative methods uses descriptions, notes from interactions, and dialogue to create an understanding of the experience.
Couchbase
couchbase.com › home › data analysis methods: qualitative vs. quantitative techniques
Data Analysis Methods: Qualitative vs. Quantitative Techniques
September 16, 2025 - Inferential Statistics: Draws conclusions about a population based on sample data using hypothesis testing, t-tests, and regression analysis. Data Mining: Discovers patterns and correlations in large datasets using algorithms and statistical techniques. Experimental Design: Designs controlled experiments to determine causal relationships between variables. These are just a few examples of qualitative and quantitative data analysis methods.
Typeform
typeform.com › blog › qualitative-vs-quantitative-research
Qualitative vs. quantitative research: A simple guide - Typeform
Qualitative data can be translated into quantitative data. For example, you could count the number of times interviewees used a particular word to describe your product to yield quantitative data. Similarly, quantitative methods of analysis require you to explain what the patterns mean and connect them to other parts of your business—a qualitative exercise!