In recent decades, much research and development has taken place leading to the discovery of various disciplines within the field of mental health, such as psychology. The creation and evolution of different branches of psychology means we are now able to specialise further, and have the tools required to treat patients with the best help they need.
One of these fields of psychology is psychometry, a science that has made it possible to quantitatively measure (by collecting and ordering data) qualitative aspects of psychology (such as different psychic characteristics).
In this article, you will learn more about what psychometry is, what it is used for and its applications in the field of psychology, knowledge that you can expand on in the Psychology degree in Madrid or the Degree in Psychology in Valencia.
Psychometry is the branch of experimental psychology that measures and quantifies the psychological processes and cognitive abilities of a person.
Psychometry makes it possible to assign a numerical value to specific characteristics and events. In this way, it is easier to compare different contrasts between individuals or criteria and to establish theories or hypotheses about how the mind works.
As a branch that deals with measuring specific aspects of the mind, psychometry is responsible for first developing a theory of measurables, then scales of analysis, and finally mechanisms and instruments of measurement. These stages are explained in more detail below:
Psychometrics is a very useful tool in different areas. Here are some of its most important applications:
Psychometrics is a very broad science that can assign a certain value to almost any psychological trait of a person. However, among the most common are:
In this article we have reflected on the value of a discipline such as psychometrics in the evaluation and measurement of phenomena related to psychology. Learn more about this innovative branch of psychology in the Psychology degree at Universidad Europea and become an expert capable of establishing comparisons and developing explanatory models with reliable data and understanding, predicting and tackling different problems.