Psychometrics
Cutting-edge psychometric solutions to ensure your assessments are valid, reliable, and optimized for your needs.
What Is Psychometrics?
The success of any research analytic endeavor is completely dependent on the metrics that are used in the analyses. In fact, determining what will be used to measure your variables (e.g. success, satisfaction, learning, etc.) is the most crucial decision of any research or evaluation project. More importantly, there is an entire field of study, known as psychometrics, that can be used to help ensure that you have chosen the right metrics for your data-driven research or evaluation project.
Psychometrics refers to the science of measuring psychological constructs. One who is trained in the science of measuring psychological constructs is known as a psychometrician. A psychological construct can be thought of as something that we know differs among people, such as personality, and psychometrics refers to the science of trying to define, measure, and differentiate that construct. Psychological constructs are the underlying attitudes and behaviors of your customers, clients, or students that you are trying to study or evaluate. They can also be thought of as the cause of certain behaviors in your clients, customers, employees, or students.
Using Psychometrics to Create Quality Measurement & Assessment Tools
Psychometrics can be used to help you determine the quality of the metrics that you are developing or have chosen to use in your research or evaluation project: reliability and validity.

Reliability refers to the precision and consistency of scores obtained from your data collection tool (e.g. survey or other type of assessment). Validity refers to how well your data collection tool is measuring what you think it is measuring. In fact, there are many different types of validity evidence that can be obtained to determine the extent to which your data collection tool reflects true differences in what you are trying to measure. However, not all types can, or should, be used to determine the validity of one data collection tool. Rather, the type of validity evidence that is collected should be based on your individual project.
At RAC, we specialize in cutting-edge psychometric solutions to ensure your assessments are valid, reliable, and optimized for your needs.
Our comprehensive services include:
Dimensionality Analysis:
Determine the underlying structure of your data and ensure your items align with constructs of interest.
Apply advanced models such as Rasch, 2-Parameter Logistic (2PL), and 3-Parameter Logistic (3PL) for precision and fairness in measurement.
Multidimensional Item Response Theory (MIRT):
Analyze assessments measuring multiple latent traits, expanding the depth of your insights.
Classical Test Theory (CTT):
Utilize time-tested methodologies to assess item and test reliability and validity.
Differential Item Functioning (DIF) Analysis:
Detect and mitigate biases in test items to promote fairness.
Structural Equation Modeling (SEM):
Explore complex relationships between variables and validate theoretical frameworks.
With additional expertise in advanced psychometric techniques, RAC provides tailored solutions for every measurement challenge.
