Questionnaire design and measurements

Have you considered whether your survey questions capture the intended construct? How do you create reliable decision support based on survey data? How do we measure what cannot be directly observed, such as experiences, feelings, and attitudes? RISE can assist with survey development and quality assurance of measurements through expertise in surve

When important decisions rely on data and measurements, it's crucial to use scientifically grounded and reliable methods. Surveys are increasingly used for data collection, but their questions and response scales often aren't designed based on research in survey methodology and question construction. Furthermore, surveys often lack thorough quality assurance or pre-testing of questions. We help design and modify surveys using scientifically based methods to ensure every part contributes to the survey's overall purpose.

Quality-Assured Survey Development

A quality-assured survey must be reliable, meaning it should yield the same or very similar results upon repeated measurements under the same or similar conditions. Furthermore, a quality-assured survey must be valid, meaning it must measure what it is intended to measure in order to enable meaningful comparisons between individuals. RISE has extensive knowledge in psychometric methodology based on modern test theory for evaluating survey data to ensure reliability and validity, both in research contexts and in practical operations. We utilize the latest methods and can offer assistance with reviewing test materials, question techniques, response scales, and advanced graphical presentation of results.

Implementation Steps

Needs Analysis and Planning: Needs Analysis and Planning: Initial discussion to understand the needs and purpose. We can also assist with expertise in Impact Measurement.
Construction Phase: Mapping out theoretical frameworks related to the construct being measured. Designing and developing questions and response scales, or correcting existing ones. We often recommend pilot studies to test the questions.
Analysis and Adjustment: Analyzing collected data in detail to examine dimensionality and psychometric properties. Quality review of data and providing suggestions for adjustment.
Reporting: Deliver final survey questions and response scales along with a report containing implementation and analysis recommendations.