Our Evaluation Approach

Tailoring evaluations with diverse methods to track growth from micro to macro levels.

CogniCircle Research
Evaluation Components

We offer 6 components in response to identified gaps in the field

Program Evaluation

Assessing program impact and process using multiple methods. We provide comprehensive program evaluation from Needs Assessments to Outcome Evaluations. Program Evaluation answers the questions of "What gaps must our program address?", "Is our program working?", and "How is our program working?"

A flowchart showing steps of program evaluation with data points and feedback loops.
A flowchart showing steps of program evaluation with data points and feedback loops.
Psychometric Consultation

Consulting on test design and interpretation to ensure reliable and valid measurements. For unique populations and processes, go-to measures may not capture the finest and most essential aspects of development. Psychometric Consultation answers the question, "How do I measure this?"

Comprehensive psychoeducational and neuropsychological testing that creates usable reports for learning. Comprehensive Diagnostic testing answers the questions: “How am I learning? What are my relative strengths and challenges that influence learning in context? How do we best support learning given this profile?”

Comprehensive Diagnostic Center

Developing, validating, and standardizing new measurements. Measurement Development answers the question, “How do I measure this if the current assessments do not fit my context or population?” We have expertise in developing, validating, and standardizing new measurements from childhood through adulthood, including culturally-sensitive and multi-lingual assessments. We have experience in forward-back translation in the process of measurement development.

Measurement Development
Mathematical Modeling

Capturing the value of your data to make informed decisions. Mathematical Modeling answers the question: “How do I use my data to predict and model outcomes and response to intervention?” Our highly-experienced team creates interdisciplinary approaches at the intersection of data science, mathematical modeling, and generative AI in order to create predictive models based on your own data and context. We create digital twins to streamline your program implementation and reduce cost and waste.

A flowchart showing steps of program evaluation with data points and feedback loops.
A flowchart showing steps of program evaluation with data points and feedback loops.
Data Dashboarding

Presenting data in live view for real-time, data-guided decision-making and impact. Data Dashboarding answers the question, “How can I use my data to revise my implementation in real time to enhance growth?” We are expert in fundamental coding languages and diverse AI platforms. We leverage this expertise to create generative AI dashboards that give operators and teams on-the-ground the capacity to see and use program data dynamically.

FAQs

What is program evaluation?

Comprehensive program evaluation addresses multiple stages of program evolution, from Needs Assessments to Outcome Evaluations. Program Evaluation answers the questions of "What gaps must our program address?", "Is our program working?", and "How is our program working?" Data collection includes assessing all stakeholders, with thorough integration to understand the most important areas of foci given the current development of a program.

How does psychometric consultation help delivery?

We design and interpret tests to ensure valid, reliable, and meaningful assessments for each particular context. There is no one-size fits all and standardized measures each have their own profile of strengths and weaknesses. Understanding these profiles in practice allows you to choose your best assessments in advance, avoiding unnecessary trial and error, reducing lost time, and minimizing data loss. Careful assessment planning allows for enhanced participant and program growth.

What services does the Comprehensive Diagnostic Center offer?

Our expert team has directed clinics in major hospitals, universities, colleges, and rehabilitation and vocational centers. We have deep experiences identifying learning differences, such as reading disabilities, attentional disabilities, mathematical disabilities, written language disabilities, and working with individuals who are multi-lingual and experiencing learning differences across multiple languages. We have applied expertise from childhood through adulthood in comprehensive learning evaluations.

Comprehensive psychoeducational and neuropsychological testing answers the questions: “How am I learning? Or, how is my child learning? What is the profile of relative strengths and challenges that influence learning in context? How do we best support learning given this profile?”

We offer records review, brief assessments, and full evaluations that can provide second opinions, as well as documentation, evidence, and recommendations for accommodations and modifications through 504 plans and Individualized Education Plans.

Why develop custom measurements?

Fine-tuned programs require a balance between accepted measures and those that capture the nuances of unique programming. CogniCircle Research doctors have experience in developing, validating, and standardizing new measurements. Measurement Development answers the question, “How do I measure this if the current assessments do not fit my context or population?” We have expertise in developing, validating, and standardizing new measurements from childhood through adulthood, including culturally-sensitive and multi-lingual assessments. We have experience in forward-back translation in the process of measurement development.

What is mathematical modeling?

CogniCircle Research scientists design and generate data-driven models to predict and understand complex patterns. Capturing the value of your data enables informed decisions. Mathematical Modeling answers the question: “How do I use my data to predict and model outcomes and response to intervention?” Our highly-experienced team creates interdisciplinary approaches at the intersection of data science, mathematical modeling, and generative AI in order to create predictive models based on your own data and context. We create digital twins to streamline your program implementation and reduce cost and waste.

Evaluation in Practice

A detailed flowchart illustrating the steps of program evaluation from planning to reporting.
A detailed flowchart illustrating the steps of program evaluation from planning to reporting.

Tailoring evaluations with diverse methods to track growth from micro to macro levels. Reach out to us to understand how we can support your evaluation needs from the individual to programmatic level.