Our Approach

Our Approach

Our work is grounded in evidence-based frameworks and analytical methods that honor the complex connections between adult practices, emotional development, and child behavior.

OVERVIEW

Foundations of QTurn Coaching and Evaluation

Measuring the quality and impact of out-of-school time programs presents complex challenges. What is quality, exactly? How can we ensure that the tools we use truly capture the environmental conditions that support skill growth, emotional regulation, and equitable development—especially for children affected by stress or adversity?

How do we know when an adult has become a positive influence in a child’s life? We cannot rely on letters written decades later to the mentor who changed everything. Instead, we employ a robust theoretical framework and innovative analytics to spot patterns of positive influence in real time.

A strong framework helps us answer key questions:

  • What does high-quality practice look like?
  • How do children’s emotional states shape their learning potential?
  • What short- and long-term outcomes should we monitor?
  • How can programs respond effectively to children who are struggling?
  • How do we identify when those struggles are occurring?

OUR FRAMEWORK

Brain, Mind, and the Big Picture

Every child is influenced by both internal and external factors—thoughts, emotions, habits, and attention, as well as environments like youth programs, schools, and broader systems. These settings interact with the child’s moment-to-moment brain states, influencing their developmental trajectory.

QTurn’s Multilevel Person-in-Context ~ neuroperson (MPCn) framework addresses this complexity. It helps us see each child as both an individual and a participant in nested, dynamic systems. By focusing on internal mind-body states like reactivity or emotional openness—and how these states shift over time—we can better understand when and why learning and development occur.

Learn more about the MPCn framework in our working paper, The multilevel person in context ~ neuroperson (MPCn) model: Guidance for quality improvement systems (QIS) focused on socio-emotional skill growth and transfer outcomes.

OUR FOCUS

Children Impacted by Adversity

To support equitable development, we center the experiences of children exposed to adversity, including trauma, poverty, and systemic inequality. This includes children carrying the weight of Adverse Childhood Experiences (ACEs) and those whose capacity to learn is affected by stress and emotional reactivity.

We recognize two major forms of socio-emotional inequity:

Reactive States

Children who remain in reactive states without support and therefore never access the full benefit of their learning environments

Disrupted Learning

Children who are not reactive but whose learning is disrupted by settings that do not provide the structure or support needed to help peers recover and re-regulate

Our coaching, tools, and evaluation strategies are designed to help programs see and respond to these realities.

HOW WE SPOT OUTCOMES

Powerful Analytical Methods

Traditional evaluation methods—such as correlational studies and psychometric scales—often flatten children’s experiences into averages and static traits. These methods can overlook the most important signals of development: momentary shifts in emotional state, social awareness, and engagement.

At QTurn, we use pattern-centered analytics that describe how children actually experience and move through developmental settings.

These methods allow us to:

  • Identify patterns of reactivity and recovery over time.
  • Describe individual developmental pathways, not just group trends.
  • Capture the context-dependent nature of adult-child interactions.
  • Track how emotionally supportive practices change children’s states from narrowed and reactive to open and ready to learn.

Side-by-Side Comparison

Key distinctions between our approach and traditional psychometrics:

Traditional Psychometrics

QTurn’s Pattern-Centered Analytics

Focus on trait-based averages

Focus on individual patterns of state and behavior

Static scores (e.g., Likert scale totals)

Dynamic, time-sensitive sequences of interaction and change

One-size-fits-all benchmarks

Context-specific insights grounded in real developmental pathways

Often blind to trauma or adversity effects

Centered on emotional reactivity and recovery from stress

Our analytics reveal not just whether programs “work,” but how they work, for whom, and under what conditions. This level of precision is essential for achieving socio-emotional skill equity.