Cal-ABA 27th Annual Western Regional Conference Building a Data-based Decision Making Culture through Performance Management Randy Keyworth Ronnie Detrich.

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Presentation transcript:

Cal-ABA 27th Annual Western Regional Conference Building a Data-based Decision Making Culture through Performance Management Randy Keyworth Ronnie Detrich Jack States

A Behavioral View of Culture Speaking of “culture” as behavior analysts… “As a set of contingencies of reinforcement maintained by a group, possibly formulated in rules or laws, it has a clear-cut physical status, a continuing existence beyond the lives of members of the group, a changing pattern as practices are added, discarded, or modified, and above all, power. A culture so defined controls the behavior of the members of the group that practice it.”B.F. Skinner Culture change is, by nature, less precise than individual behavior change.

Data-based Decision Making relies on Staff Performance In order for a data-based decision making system to be effective, staff must: implement it compliance correctlyover time competencesustainability

Data-based Decision Making compliance / competence ask the right questions identify appropriate data to collect (validity) implement interventions according to plan (treatment integrity) collect data accurately (reliability) display / analyze data interpret data / draw correct conclusions give / receive feedback based on the data modify interventions based on data

Data-based Decision Making sustainability implemented with procedural fidelity and desired outcomes (effectiveness) at the consumer level maintains over time maintains over generations of practitioners and decision-makers operates within existing resources (financial, staff, materials) and existing mandates becomes institutionalized, routine… National Implementation Research Network (NIRN) “the way we do business”

Sustainable Practice requires : a social / cultural change process across all levels of an organization a long term, ongoing, developmental process respect and accommodation of the uniqueness of every aspect of the culture

Stakeholders policy makers parents school administrators classroom staff students What is an Organizational Culture? The complex interaction of formal and informal contingencies governing the behavior of all stakeholders, embodied in: External Contingencies laws & regulations funding job market training and ideology Internal Contingencies policies practices values resource allocations data systems feedback systemsreporting requirements program evaluation recruitment & hiring initiatives job expectations compensation staff training staff coaching staff feedback

Building a Data-based Decision Making Culture All organizations have cultures… most don’t support data-based decision making

Baseline Cultural Obstacles staff resistance to a data-based decision making culture: long standing mistrust of the purpose of data educator autonomy, implicit power relationships cynicism about fads, new ideas, education reform resistance to performance feedback data collection is too difficult data collection causes too much change desired outcomes take too long to materialize perceived costs exceed perceived benefits

Building a Data-based Decision Making Culture Data-based decision making cultures deliberately shape all cultural contingencies to reinforce the effective use of data in decision making.  increase reinforcement for the target behaviors  decrease aversive consequences for the target behaviors  decrease reinforcement for competing behaviors  increase aversive consequences for competing behaviors

Performance management strategies are essential to accomplish this goal: clear, measurable outcomes, goals, measures effective data feedback system deliberate, measurable intervention ongoing monitoring analysis adaptation and innovation Using Performance Management to Build a Data-based Decision Making Culture

Overcoming Baseline Cultural Obstacles: Calibration, Process and Engagement a “learner centered” culture (calibration) focus on student learning and educational practices establishing consensus on standards, definitions, goals a culture of “inquiry” rather than “compliance” (process) use of data to answer questions, problem solve use of data-based decision making at all levels of the organization not having all of the answers a culture of “universal participation” (engagement) wide-spread involvement (ownership, pride, participation) collaboration across disciplines giving, receiving, and using feedback data analysis as positive, non-threatening experience

Overcoming Baseline Cultural Obstacles: Alignment Alignment of all organizational cultural components so that contingencies consistently support data-based decision making policies practices values resource allocations data systems feedback systems reporting requirements program evaluation recruitment & hiring initiatives job expectations compensation staff training staff coaching staff feedback

Using Performance Management for cultural alignment Goals: Definitions: Outcomes: Increase the number of “Qualified Staff” staff meet regulatory qualifications staff share common values about data, accountability, feedback and problem solving staff have technical skills in instruction, data analysis, problem solving… staff positions filled by qualified staff staff retention

Using Performance Management for cultural alignment XXX staff training Process Measures Outcome Measures Strategies XXX staff feedback XXX staff evaluation XXX recruitment XXX selection XXX hiring XXX XXX XXX XXX XXX XXX policies practices resource allocations job expectations compensation initiatives

Data-based Decision Making has two distinct components Decision Making Data-based meaningful and accurate data being collected and displayed accurate interpretation of the data and resulting changes in behavior (problem solving)

What is professional judgment? OutputInput information data research strategies interventions treatment education decisions professional judgment

Obstacles to Data-based Decision Making 1.Lack of training in data collection, analysis and decision making 2.Data limitations complex issues of cause and effect incomplete data poor data display 3.Lack of Learner centered, problem solving culture 4.Individual limitations false sense of accuracy errors in reasoning professional bias

The fallibility of professional judgment: Biases that can interfere with judging progress and causation  Being swayed by hindsight  Being overconfident  Engaging in wishful thinking  Having an illusion of control  Overlooking the role of chance (coincidences)  Seeking only data that support preferred views  Mistaking correlation for causation bias Critical Thinking in Clinical Practice : Improving the Quality of Judgements and Decisions, Eileen Gambrill

Strategies for Improving Decision Making Data Analysis Teams 1.Membership cross discipline (administrator, support staff, classroom staff) data facilitator 2.Goals Apply data-based decision making strategies to desired outcomes Reinforce “inquiry” culture Provide training and feedback 3.Tools Checklistsdata displays Scriptstechnology 4.Process Ongoing meetings Ongoing review