Association for Public Policy Analysis & Management

Leadership in a large urban school district in Florida is responsible for supporting school counselors and College Assistance Program (CAP) Advisors as they endeavor to use data-driven decision making, as required by the state (Student Services Professional Practices Evaluation Rubric; Domain A: Data-Driven Decision-Making, FLDOE, 2012). District leaders are also responsible for supporting school counselors and advisors in achieving accountability measures related to their performance. District leadership does not currently have a systematic framework to analyze factors related to performance nor is it able to use the “language” of Human Performance Improvement to communicate and plan interventions to address performance issues faced by school counselors and College Assistance Program (CAP) advisors (Binder, 1998, p. 51). District leadership also need recommendations that identify appropriate interventions that can be used to effectively support school counselors and advisors by reducing barriers and increasing enablers that influence use of data-driven decision-making.

Binder’s (1998, 2009, 2011) Six Boxes™ (BSB) Model (Figure 1) was used in this study to identify enablers and barriers to improved performance by high school counselors and advisors in data-driven decision-making. The top row boxes in Figure 1 pertains to environmental (data, resources, incentives) factors. The bottom row of boxes in Figure 1 pertains to individual (knowledge, capacity, motives) factors. Data collection and analysis flow from top to bottom and right to left across the six boxes.