RAND, PCANC, and NCSMH Use Quest to Improve Outcomes

Partner Spotlight

Our partners across the globe use Quest to meet their data collection goals.

They know that finding the right data collection platform is hard.

So we made Quest easy.

  • Create survey items
  • Deploy surveys
  • Monitor responses
  • Code and visualize data
  • Export results
  • And more!

Right now, our partners at RAND, Positive Childhood Alliance North Carolina (PCANC), and the National Center for School Mental Health (NCSMH) are using Quest to support critical work in education and systems evaluation.

RAND Uses Quest for Messaging

3C Institute + Rand logos, with "Test with Quest."

As the economy changes, educational needs change, too. That’s why RAND is supporting the Ohio Department of Education’s mission to enroll more and more people in manufacturing and IT certification programs. 

Quest is a vital part of that mission. 

With Quest, RAND is conducting randomized messaging incorporating: 

  • Branching and skip logic
  • Smartphone-friendly design
  • Incentive management system

PCANC Uses Quest As a One-Stop Platform

3C Institute + Positive Childhood Alliance North Carolina logos, with "One platform. Several Communities."

PCANC needed a system to evaluate prevention services in communities throughout North Carolina. SurveyMonkey wasn’t meeting its needs. So PCANC turned to Quest.

Quest gives PCANC:

  • Customizable queries
  • Visualizations for in-depth data analysis
  • A one-stop platform for data collection

NCSMH Uses Quest to Improve the Screening and Assessment Process

3C Institute + SHARE logo, with "Assess. Respond. Evaluate."

Mental health clinicians need better supports to deliver mental health services and assessments in schools. Fewer than one-third of students who need mental health services receive them, often because screenings are difficult to access and administer.

The Student Health Assessment, Response, and Evaluation System (SHARE) makes this process easier. 

By integrating an extensive library of screening measures into Quest, SHARE helps: 

  • Build assessment plans 
  • Send assessments to students, parents, and educators 
  • Monitor student progress

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    Let's Talk

    DEB CHILDRESS, PHD

    Chief of Research and Learning Content

    BIOGRAPHY

    Dr. Childress obtained her PhD in psychology at the University of North Carolina at Chapel Hill. Prior to coming to 3C Institute, she served as a research associate and a postdoctoral fellow in the Carolina Institute for Developmental Disabilities at the University of North Carolina at Chapel Hill working on a longitudinal imaging study aimed at identifying the early markers of autism through behavioral and imaging methodologies. She has 19 years of autism research experience, during which she has examined the behavioral, personality, and cognitive characteristics of individuals with autism and their family members. Dr. Childress also has experience developing behavioral and parent report measurement tools, coordinating multi-site research studies, and collecting data from children and families. She has taught courses and seminars in general child development, autism, and cognitive development at the University of North Carolina at Chapel Hill.

    Expertise

    • autism
    • early development
    • behavioral measurement
    • integrating behavioral and biological measurement

    Education

    • Postdoctoral fellowship, Carolina Institute for Developmental Disabilities (Institutional NRSA-NICHD), University of North Carolina at Chapel Hill
    • PhD, developmental psychology, University of North Carolina at Chapel Hill
    • BS, psychology (minor in sociology), University of Iowa

    Selected Publications

    • Elison, J. T., Wolff, J. J., Heimer, D. C., Paterson, S. J., Gu, H., Hazlett, H. C., Styner, M, Gerig, G., & Piven, J. (in press). Frontolimbic neural circuitry at 6 months predicts individual differences in joint attention at 9 months. Developmental Science.
    • Wassink, T. H., Vieland, V. J., Sheffield, V. C., Bartlett, C. W., Goedken, R., Childress, D. & Piven, J. (2008). Posterior probability of linkage analysis of autism dataset identifies linkage to chromosome 16. Psychiatric Genetics,18(2),85-91.
    • Losh, M., Childress, D., Lam K. & Piven, J. (2008). Defining key features of the broad autism phenotype: A comparison across parents of multiple- and single-incidence autism families. American Journal of Medical Genetics (Neuropsychiatric Genetics), 147B(4):424-33.
    • Wassink, T. H., Piven, J., Vieland, V. J., Jenkins, L., Frantz R., Bartlett, C. W., Goedken, R., … Sheffield, V.C. (2005). Evaluation of the chromosome 2q37.3 gene CENTG2 as an autism susceptibility gene. American Journal of Medical Genetics (Neuropsychiatric Genetics), 136, 36-44.
    • Barrett, S., Beck, J., Bernier, R., Bisson, E., Braun, T., Casavant, T., Childress, D., … Vieland, V. (1999). An autosomal genomic screen for autism. American Journal of Medical Genetics (Neuropsychiatric Genetics), 88, 609-615. doi: 10.1002/(SICI)1096-8628(19991215)88:63.0.CO;2-L
    • Piven, J., Palmer, P., Landa, R., Santangelo, S., Jacobi, D. & Childress, D. (1997). Personality and language characteristics in parents from multiple-incidence autism families. American Journal of Medical Genetics (Neuropsychiatric Genetics), 74, 398-411.
    • Piven, J., Palmer, P., Jacobi, D., Childress, D. & Arndt, S. (1997). Broader autism phenotype: Evidence from a family history study of multiple-incidence autism families. American Journal of Psychiatry, 154, 185-190.