This type of research aims to be objective and generalizable, often seeking to establish cause-and-effect relationships or test hypotheses. ... Numerical Data: Quantitative research relies on the collection of numerical data, which can be measured and analyzed using statistical tools.

March 3, 2025 - The research is non-experimental ... sample groups are needed for this research. Example: Researchers studying a correlation between regular exercise and diabetes....

September 17, 2025 - In the field of health, for example, researchers might measure and study the relationship between dietary intake and measurable physiological effects such as weight loss, controlling for other key variables such as exercise. Quantitatively based opinion surveys are widely used in the media, with statistics such as the proportion of respondents in favor of a position commonly reported.

These are precise and typically ... among variables (relationship research questions).1,5 We provide examples of descriptive, comparative, and relationship research questions in quantitative research in Table 2....

July 24, 2023 - Examples of experimental research include studies on the effectiveness of a new drug or the impact of a specific intervention on behavior. ... In conclusion, quantitative research designs are important tools for researchers to answer research questions and make data-driven decisions.

March 28, 2024 - Examples of experimental research include studies on the effectiveness of a new drug or the impact of a specific intervention on behavior. ... In conclusion, quantitative research designs are important tools for researchers to answer research questions and make data-driven decisions.

Descriptive research is a non-experimental type of quantitative research that measures the current status of a specific variable or topic. This methodology answers questions of what, where, when, and how, but it does not explain why (which is the goal of qualitative research).

November 22, 2021 - The fact that correlational research cannot be used to establish causality is a common point of confusion among new researchers. After all, it certainly seems to be causal in nature that a waiter who drops trays frequently would receive smaller tips. However, the key is that correlational studies do not provide definitive proof that one variable leads to the second variable. In a quasi-experimental quantitative research design, the researcher attempts to establish a cause-effect relationship from one variable to another. For example, a researcher may determine that high school students who study for an hour every day are more likely to earn high grades on their tests.

September 21, 2023 - Quantitative surveys are typically made up of closed-ended questions, such as: Multiple choice. Likert scales (e.g. rating from 1 to 5). Single-select or ranking options. These formats allow you to quickly analyze patterns, compare responses, and quantify user sentiment across large samples. Looking to get started with survey research? Check out our library of survey templates. Example: Say you’ve just rolled out a new product feature.

Quantitative research methods need to be carefully considered, as your data collection of a data type can be used to different effects. For example, statistics can be descriptive or correlational (or inferential).

February 5, 2025 - Quantitative research primarily ... a quantitative research study is the survey conducted to understand how long a doctor takes to tend to a patient when the patient walks into the hospital....

University. The researchers compared 40 undergraduate students enrolled in online · courses and 59 undergraduate students enrolled in the classroom setting of the same

Quantitative research relies on numerical data, so your questions must focus on measurable variables. Avoid abstract concepts that cannot be quantified. Instead, use specific terms that can be operationalized and measured. Example: Instead of asking, "How does stress affect job performance?" ask, "What is the relationship between self-reported stress levels and monthly sales performance among sales representatives?"

October 15, 2025 - Example: How does the number of training hours (independent variable) impact employee productivity (dependent variable)? ... Avoid vague wording. Your questions should produce numerical data that can be analyzed.

As a result, many public high schools are adopting the concept of smaller ... Jordan, Legters, & Balfanz, 1997). Weiss (2005) posited that, when children feel · connected and see investment in their education, they learned more. Recently, there has · been a movement in education for more schools to create smaller learning communities. Legters and Kerr (2001) studied reform practices to promote ninth grade success · in Maryland public schools. The researchers surveyed 174 schools and reported a 79%

October 25, 2021 - Measurements, counts, and calculations: for example, the attendees of a webinar. Sensors: a photosensor detecting the presence of light. Quantification of qualitative data: how a categorical group of people felt about a quiz.

October 3, 2025 - Quantitative methods vary in scope, but the most widely used include: Surveys and questionnaires: Efficient tools for collecting data from large groups. Experiments: Controlled designs that manipulate variables to test causal relationships.

January 29, 2025 - For example, a study into usage and attitudes around orange juice might include consumers who buy and/or drink orange juice at a certain frequency or who buy a variety of orange juice brands from different outlets. Back to Table of Contents · So knowing what quantitative data collection is and why it's important, how does one go about researching a large, high-quality, representative sample?

September 10, 2025 - Questionnaires should be enjoyable - and varying the types of quantitative research questions used throughout your survey will help achieve that. Descriptive research questions (also known as usage and attitude, or, U&A questions) seek a general indication or prediction about how a group of people behaves or will behave, how that group is characterized, or how a group thinks. For example, a business might want to know what portion of adult men shave, and how often they do so.