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JARED C. SCHULTZ, PH.D., CRC UTAH STATE UNIVERSITY Using Quantitative Data for Effective Program Evaluation.

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Presentation on theme: "JARED C. SCHULTZ, PH.D., CRC UTAH STATE UNIVERSITY Using Quantitative Data for Effective Program Evaluation."— Presentation transcript:

1 JARED C. SCHULTZ, PH.D., CRC UTAH STATE UNIVERSITY Using Quantitative Data for Effective Program Evaluation

2 Misleading Title? The first critical question is not “How do we measure?” The first critical question is “What do we measure?” This presentation is not an overview of quantitative data collection procedures. This presentation is intended to provide a foundation to address the question of “What do we measure?”

3 Transformational Learning Adult learners bring the context of their experience to learning Has a positive and negative impact on learning “becoming critically aware of one’s own tacit assumptions and expectations and those of others and assessing their relevance for making an interpretation” (Mezirow, 2000,p.4) Take a few minutes and write down your beliefs, attitudes, and emotions regarding program evaluation. Positive and Negative. Ambitions and Concerns.

4 What Program Evaluation is Not Only a requirement for reporting to RSA and other oversight entities. Program evaluation, quality assurance, and continuous improvement are not events, or things to implemented quickly. They represent shifts in organizational ideology and culture, and require a long-term, systemic view.

5 What is Program Evaluation? “The use of social research methods to systematically investigate the effectiveness of social intervention programs…” (Rossi, Lipsey, & Freeman, 2004). Data Collection and Analysis Illuminates Effectiveness and Informs Continuous Improvement Is useful for all aspects of organizational functioning.

6 An issue of organizational culture. A systemic method of addressing quality of services, outcomes, and personnel. Addresses processes and systems within the organization.

7 Role of Data Informs Program Development Informs Program Evaluation Informs Program Improvement Informs Professional Hiring Informs Professional Evaluation Informs Professional Improvement / Development

8 Bead Experiment We need to hire:  2 Counselors  Supervisor  Data Analysis Specialist

9 Processes and Systems Process  The use of inputs into an action to achieve a desired outcome.  Inputs include people, materials, equipment, methods, measurement, environment. System – network of processes within an organization that work together for the aim of the organization. (Neave, 1990; Deming, 2000)

10 An Example of Systems Thinking A State agency implemented an incentive payment program that was directly linked to case closures.

11 Incentive Program Goals Improve Rehabilitation Counselor Retention, Decrease Turnover Increase Rehabilitation Counselor Compensation Increase the quantity of Successful closures, Productivity It was originally presented as a Trial Program

12 Since Implementation Voluntary terminations have increased from an average of 15 per year to 21 per year Voluntary resignations have not declined with the existence of the incentive program

13 Compensation An average of 25 counselors receive the incentive in a given year ($894 before taxes) On average 91 counselors receive no incentive The average increase in compensation across the board is $180 before taxes per counselor for the 3 year period

14 Increase Productivity

15 Asking the Program Evaluation Question Identify the Problem Define the problem in terms of processes and systems  Draw out the process  Identify the way that processes influence the system

16 Models and Theories Models and theories provide the context for making the questions concrete. Provide the structure for understanding the variables. Don’t assume that models and theories do not apply to your unique situation.

17 References Deming, W.E. (2000). Out of the crisis. Cambrige, MA: The MIT Press. Mezirow, J. (2000).Learning to think like an adult: Core concepts of transformation theory. In J.Mezirow and Associates (Eds.). Learning as transformation: Critical perspectives on a theory in progress. San Francisco: Jossey-Bass. Neave, H.R. (1990). The Deming dimension. Knoxville, TN: SPC Press. Rossi, P.H., Lipsey, M.W., & Freeman,H.E. (2004). Evaluation: A systematic approach (7 th Ed.). Thousand Oaks, CA: Sage.


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