Using psychometric tools to make neuroscience study data more reliable
Neurological study data often comes from patient-reported outcomes or investigators’ observations, and inconsistency is always a challenge. Our neuroscience team is experienced at constructing, validating, and implementing a wide range of measurement tools, questionnaires, and personality tests to deliver statistically valid and consistent data. The field is so important it has its own name: psychometry.
It takes a thorough understanding of the challenges to develop a successful psychometric system. We take into account differences in reporting outcomes with multiple observers, the need for standardization in a global research environment, and sensitivity to cultural differences that may affect outcomes. We understand that one key to the success of any psychometry system is clearly defined and detailed rater training.
Here are some of the complex psychometry issues we have addressed:
- Assessment of disability scales or health status scales.
- Disease-specific quality-of-life questionnaires.
- Clinical global impression scales.
- Global assessment of functioning scales.
- Side-effect scales.
- Scales assessing personality dimensions.
- Schedules for clinical assessment in neuropsychiatry.
- IVRS/IWRS systems to improve the reliability of patient self-assessments.
In addition to developing trial-specific psychometry systems, we operate our own specialty research clinics equipped with quiet psychometry suites to ensure accurate and consistent reporting of patient self-assessments.