October 4, 2024 - The core difference between qualitative and quantitative research lies in their focus and methods of data collection and analysis. This distinction guides researchers in choosing an appropriate approach based on their specific research needs. For example, A/B testing can complement both approaches by allowing teams to test quantitative outcomes of different variants while gathering qualitative insights from user feedback on why certain variations perform better.

Quantitative Example: Sensors and monitors collect data on pollution levels, showing past trends and the impact of specific pollutants. Qualitative Example: Residents' observations reveal how pollution affects daily life, health and local ...

April 19, 2023 - Here’s a closer look at aspects of both and how they are used. How many coins do you have in your pocket? How old is your car? What’s your height and weight? Those are simple examples of using quantitative traits.

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 ...

August 21, 2024 - From the nuanced, thematic exploration enabled by tools like NVivo and ATLAS.ti, to the statistical precision of SPSS and R for quantitative analysis, each suite of data analysis tools offers tailored functionalities that cater to the distinct natures of different data types. ... NVivo: NVivo is qualitative data analysis software that can do everything from transcribe recordings to create word clouds and evaluate uploads for different sentiments and themes.

July 23, 2025 - The data in quantitative analysis is expressed in numbers so it can be counted or measured. The data is extracted from experiments, surveys, market reports, matrices, etc. ... Age, Height, Weight, etc. ... Qualitative and quantitative data are two distinct types of data used for analysis.

While quantitative data provides measurable statistics—such as percentages or trends—qualitative data helps explain the underlying reasons behind those numbers. For example, survey results may show that 50% of customers dislike a product feature...

June 22, 2023 - Qualitative content analysis: Tracking the occurrence, position and meaning of words or phrases · Thematic analysis: Closely examining the data to identify the main themes and patterns · Discourse analysis: Studying how communication works in social contexts · If you want to know more about statistics, methodology, or research bias, make sure to check out some of our other articles with explanations and examples. ... Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

September 18, 2022 - For instance, qualitative research can help expand and deepen understanding of data or results obtained from quantitative analysis. For example, say a quantitative analysis has determined a correlation between length of stay and level of patient satisfaction, but why does this correlation exist?

August 15, 2024 - In the last post, we talked about the ‘why’ of data analysis, this time we will delve into the ‘how’. The internet has enabled us to create large volumes of data at a staggering pace. Moreover, the way you analyze it depends on the type of data you are working with. We broadly classify data into two forms — qualitative and quantitative.

Quantitative and qualitative data ... For example, if data are collected on annual income (quantitative), occupation data (qualitative) could also be gathered to get more detail on the average annual ......

May 9, 2023 - Additionally, qualitative research ... more structured. Examples of qualitative data include open-ended survey responses, interview transcripts, and observational notes....

March 31, 2021 - To glean insights from qualitative ... categories. For example, to analyze focus group data, researchers could review transcripts or recordings and group similar sentiments together into categories....

Examples of quantitative data include numerical measurements, percentages, and counts. Use Contentsquare to better understand customer attitudes and behavior and build successful websites and products.

January 30, 2024 - Let's see a couple of examples. Customer Feedback Interviews: Gathering detailed opinions and feelings about a new product through individual interviews. Ethnographic Research: Observing and documenting the behaviors and interactions of a specific ...

September 13, 2024 - That’s why quantitative data is an excellent choice for drawing generalizable conclusions but doesn’t give you the complete picture behind a phenomenon. Qualitative data, on the other hand, provides in-depth insights and contextual information about a phenomenon. For example, you can use qualitative data analysis tools to understand the sentiment, traits, and opinions of that 35% of customers who aren’t happy with your product.

An example of qualitative and quantitative data could be measuring annual income (quantitative) and collecting occupation data (qualitative) to provide a more comprehensive understanding of average annual income for different occupations.

Narrative analysis. This is the process of interpreting core personal stories gathered from people in a particular study group. It also examines how a story is conveyed in an effort to deduce how a user experienced something. While quantitative data and qualitative data are both great for SaaS companies, ... Quantitative data, for example...

July 12, 2019 - For example, if you are comparing the percentage of children vaccinated in two different villages, then descriptive statistics is enough. Since descriptive analysis is mostly used for analyzing single variable, it is often called univariate analysis. Qualitative data analysis works a little differently from quantitative data, primarily because qualitative data is made up of words, observations, images, and even symbols.