We are independent & ad-supported. We may earn a commission for purchases made through our links.

Advertiser Disclosure

Our website is an independent, advertising-supported platform. We provide our content free of charge to our readers, and to keep it that way, we rely on revenue generated through advertisements and affiliate partnerships. This means that when you click on certain links on our site and make a purchase, we may earn a commission. Learn more.

How We Make Money

We sustain our operations through affiliate commissions and advertising. If you click on an affiliate link and make a purchase, we may receive a commission from the merchant at no additional cost to you. We also display advertisements on our website, which help generate revenue to support our work and keep our content free for readers. Our editorial team operates independently from our advertising and affiliate partnerships to ensure that our content remains unbiased and focused on providing you with the best information and recommendations based on thorough research and honest evaluations. To remain transparent, we’ve provided a list of our current affiliate partners here.

What Is Quantitative Methods Psychology?

By Micah MacBride
Updated May 23, 2024
Our promise to you
Language & Humanities is dedicated to creating trustworthy, high-quality content that always prioritizes transparency, integrity, and inclusivity above all else. Our ensure that our content creation and review process includes rigorous fact-checking, evidence-based, and continual updates to ensure accuracy and reliability.

Our Promise to you

Founded in 2002, our company has been a trusted resource for readers seeking informative and engaging content. Our dedication to quality remains unwavering—and will never change. We follow a strict editorial policy, ensuring that our content is authored by highly qualified professionals and edited by subject matter experts. This guarantees that everything we publish is objective, accurate, and trustworthy.

Over the years, we've refined our approach to cover a wide range of topics, providing readers with reliable and practical advice to enhance their knowledge and skills. That's why millions of readers turn to us each year. Join us in celebrating the joy of learning, guided by standards you can trust.

Editorial Standards

At Language & Humanities, we are committed to creating content that you can trust. Our editorial process is designed to ensure that every piece of content we publish is accurate, reliable, and informative.

Our team of experienced writers and editors follows a strict set of guidelines to ensure the highest quality content. We conduct thorough research, fact-check all information, and rely on credible sources to back up our claims. Our content is reviewed by subject matter experts to ensure accuracy and clarity.

We believe in transparency and maintain editorial independence from our advertisers. Our team does not receive direct compensation from advertisers, allowing us to create unbiased content that prioritizes your interests.

Psychology may bring to mind images of psychoanalysis and dream interpretation, but many professional psychologists prefer more empirical approaches to studying human behavior. Such professionals conduct research by designing experiments that gather numerical, quantitative, data. Researchers in quantitative methods psychology can then use statistical analysis of their experiment's data to draw conclusions about its results.

All researchers gather and analyze data. This information can can be quantitative or qualitative in nature. Qualitative data can include interviews a psychologist may conduct with subjects, his or her notes when observing a subject's behavior, or case studies written by other researchers. Psychologists doing research with qualitative data will analyze the information from all these sources for connections and patterns, then write papers that state their findings, and present their arguments to justify their conclusions.

Other psychologists work with quantitative data. Using numbers allows them to run their data through equations and statistical models that can quantify the existence, and strength, of any patterns or relationships the researchers may find. Researchers that work in quantitative methods psychology prefer collecting and analyzing numerical data so that their conclusions can be mathematically proven, instead of relying on the arguments that qualitative researchers use to justify theirs. Some of these psychologists believe that working with quantitative methods makes the field of psychology more empirically rigorous and improves the quality of its academic research.

Quantitative methods psychology can collect data for analysis by examining things that are inherently numerical, or by using a system of coding to quantify items that are more qualitative in nature. Information that is inherently quantitative can include items such as the time it takes subjects to respond to a stimulus, or the number of subjects that select a particular answer to a question on a survey. Psychologists can also code types of behavior in subjects they are observing. This involves the researcher establishing broad definitions of the behaviors in which he or she is interested, and assigning a number to each one. Recording a number when the psychologists observe its corresponding behavior allows these researchers to create quantitative data from qualitative observations.

One of the most common analytical techniques in quantitative methods psychology is regression analysis. The researcher divides his or her data into an independent data series and a dependent data series. When this data is run through a linear regression model, the psychologist gets a set of numbers that describe the extent to which the independent data series affects the dependent data series. If the researcher was studying the effect of a day's temperature on behavior, then the temperature would the independent variable and the code for the behavior would be the dependent variable. Psychologists using this quantitative technique would use the results of the regression analysis to determine the strength and validity of the independent variable's affect on the dependent variable.

Regression analysis is popular in quantitative methods psychology because of its ability to determine causation. Correlations can only tell if there is a relationship between two data series, not which data series is causing changes in the other. For example, a strong correlation between temperature and behavior cannot mathematically prove that the temperature is what is causing the behavior. Regression analysis can mathematically prove that the independent variable is what is affecting the dependent variable, which allows researchers to use its results as evidence.

Language & Humanities is dedicated to providing accurate and trustworthy information. We carefully select reputable sources and employ a rigorous fact-checking process to maintain the highest standards. To learn more about our commitment to accuracy, read our editorial process.

Discussion Comments

Language & Humanities, in your inbox

Our latest articles, guides, and more, delivered daily.

Language & Humanities, in your inbox

Our latest articles, guides, and more, delivered daily.