December 3, 2021 - Height in feet, age in years, and weight in pounds are examples of quantitative data. Qualitative data is descriptive data that is not expressed numerically. Both quantitative research and qualitative research are often conducted through surveys ...

January 22, 2024 - Quantitative data may be classified into several forms, based on the nature of the study and the measuring scales used. Each sort of quantitative data serves a particular research purpose. Which to employ is determined by the research question, design, and features of the variables being researched.

Examples of quantitative data are a spreadsheet of numbers or data collected from a survey question where an answer must be selected from a pre-determined set of values. ... Quantitative data analysis can be conducted in many software programs, ...

October 22, 2025 - In all of the above examples, there is a numerical value in each data. ... For Extensive Research – Statistical analysis comes easy with quantitative data.

October 23, 2024 - This survey is often implemented for trend analysis or studies where the primary objective is to collect and analyze a pattern in data. Cross-sectional Studies: A type of observational research in which market research conducts surveys at a particular time period across the target sample is known as a cross-sectional survey. This survey type implements a questionnaire to understand a specific subject from the sample at a definite time period. To administer a survey to collect quantitative data, the following principles are to be followed.

This article shares six quantitative data examples from real companies, and how they analyzed these metrics to guide profitable decisions. We’ll also illustrate why quantitative data is best paired with a cool glass of qualitative insights.

August 22, 2025 - Tracking an event in Userpilot. Tracking customer support data is crucial for quantitative research.

January 8, 2025 - Interval data is numerical data where the differences between values are meaningful, but there is no true zero point. A typical example is the temperature, where you can measure the difference between numerical values, but 0°C does not mean the absence of temperature. Ratio data is quantitative data that allows for meaningful differences and ratios between numerical values, with a true zero point showing the absence of the measured quantity.

May 11, 2023 - Knowing what type of quantitative data you’re working with helps you to apply the correct type of statistical analysis. We’ll look at how quantitative data is analyzed in section five. Now we know what quantitative data is, we can start to think about how analysts actually work with it in the real world. Before the data can be analyzed, it first needs to be generated or collected. So how is this done? Researchers (for example, psychologists or scientists) will often conduct experiments and studies in order to gather quantitative data and test certain hypotheses.

November 7, 2020 - In a world of abstract findings that can't be quantified, such as anger or memories, it's important to be able to measure what we can. Let's consider some examples of quantitative data.

September 28, 2023 - Here are a few examples of what that looks like in action: Mathematics heavily relies on quantitative data. Engineers and applied mathematicians have developed methods for medical research, biological research, and industrial processes, all through quantitative data analysis.

... Quantitative data is measurable, ... of health-related events (Wang, 2013). Examples of quantitative data include: age, weight, temperature, or the number of people suffering from diabetes....

August 28, 2025 - For example, category-based variables like gender, ethnicity, or native language could all be “converted” into numbers without losing meaning – for example, English could equal 1, French 2, etc.

October 21, 2023 - A: There are various types of quantitative data, including continuous data (e.g., height, weight), discrete data (e.g., number of children in a family), ordinal data (e.g., Likert scale ratings), and nominal data (e.g., gender, ethnicity).

May 21, 2023 - Quantitative data plays a crucial role in monitoring and evaluation (M&E) efforts. It provides objective, measurable, and numerical data that can help organizations assess the progress, effectiveness, and impact of their programs. This article provides examples of quantitative data commonly used in M&E, such as survey responses, monitoring data, and administrative data.

This type of data is often obtained through structured research methods such as surveys, questionnaires, and experiments. Examples of quantitative data include numerical measurements, percentages, and counts.

This type of data is the cornerstone of quantitative research, which relies on gathering numerical data and using statistical methods to analyze it. Some examples of quantitative data include age, height, weight, income, and test scores.

Quantitative data uses numbers to determine the what, who, when, and where of health-related events (Wang, 2013). Examples of quantitative data include: age, weight, temperature, or the number of people suffering from diabetes.