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2006 Summer Evaluation Institute |
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Agenda: AEA/CDC Summer Evaluation Institute Thank you to everyone who helped to make the CDC/AEA Summer Evaluation Institute a success! The Institute concluded on Wednesday June 14, 2006 after two and a half days of stimulating discussion and training. To each of the Training, Breakout and Keynote descriptions below, we have added (Or will add in the near future) the handouts available for that session. All handouts are in PDF format. To download a free PDF reader click here. 2007 Summer Evaluation Institute: Registration is now open for the CDC/AEA 2007 Summer Evaluation Institute! Please go to: http://www.eval.org/SummerInstitute07/07SIhome.asp to learn more. |
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Monday, June 12, 2006 |
7:30 - 8:30: Check-in, Continental Breakfast, Pick-up Registration Materials 8:30 - 9:20: Keynote - Larry Green (see list of keynote topics) 9:30 - 12:30: Training Rotation I (see list of training topics) 12:45 - 2:15: Lunch together, included in registration 2:30 - 4:00: Breakout Rotation I (see list of breakout topics) |
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Tuesday, June 13, 2006 |
8:00 - 9:00: Continental Breakfast 9:00 - 10:00: Keynote - Robert Goodman (see list of keynote topics) 10:15 - 11:45: Breakout Rotation II (see list of breakout topics) 12:00 - 1:30: Lunch together, included in registration 1:45 - 3:15: Breakout Rotation III (see list of breakout topics) 3:30 - 5:00: Breakout Rotation IV (see list of breakout topics) |
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Wednesday, June 14, 2006 |
8:00 - 9:00: Continental Breakfast 9:00 - 12:00: Training Rotation II (see list of training topics) 12:10 - 1:00: Keynote - Laura Leviton (see list of keynote topics) |
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KEYNOTES The evidence-based medicine movement since the 1970s has insinuated its way into American public health thinking, first via the Canadian Task Force on the Periodic Health Examination and the U.S. Preventive Services Task Force, then through the Cochran Collaboration and most recently the US Task Force for Community Preventive Services. A tenet of these systematic reviews leading to the identification and recommendation of “best practices” is that they must give greatest weight to evidence that attributes the causal strength of interventions based on randomized controlled trials (RCTs). The pursuit of randomization and other controls in RCTs has produced evidence that is strong on internal validity, but often weak on external validity. The traditions of evaluation of actual programs in vivo and in real time, rather than in situ under artificially controlled circumstances, promises greater relevance of the findings for practice and greater external validity in generalizing the findings to other “real world” practices and populations. This presentation will examine ways to supplement “best practices” from strong evidence with “best processes” of applying the always-limited evidence in real world settings and diverse populations, and ways that systems modeling of outcomes (“in sylico”) might help bridge the gaps. Prof Lawrence W. Green co-leads the Social and Behavioral Sciences Program at the University of California at San Francisco Comprehensive Cancer Center. He recently retired from CDC as Distinguished Fellow-Visiting Scientist and Director of the Office of Science and Extramural Research. He has served on the medical and public health faculties at Berkeley, Johns Hopkins, Harvard, Texas, UBC, Emory, and Maryland Universities. He is a past President and Distinguished Fellow of the Society for Public Health Education, recipient of the American Public Health Association's highest awards, the Distinguished Career Award and Award of Excellence, and the American Academy of Health Behavior Research Laureate Medal. Attendees might also be interested in the handouts from Larry Green's Training Session. Keynote: How to Work With FORECAST and Logic Models as an Ecological Empowerment Evaluation Strategy The Formative Evaluation, Consultation, and Systems Technique (FORECAST) is a participatory approach to the evaluation of complex community initiatives. FORECAST is an empowerment evaluation method because community stakeholders are part of the design, planning, implementation, and reflection of findings in the evaluation process. Attendees at the plenary session will receive an overview of the FORECAST method by illustration of its application to an actual community-based project to prevent first time male sexual violence against adolescent women. The evaluation was funded by the Centers for Disease Control and Prevention Division of Violence Prevention. The program example will illustrate how FORECAST uses program logic models that are developed locally as a means for developing evaluation markers and measures that are employed in real time in order to provide the program with timely feedback for continuous quality improvement. The FORECAST approach will be introduced by a discussion that illustrates why alternative evaluation approaches to randomized, controlled and quasi-experimental designs often are more appropriate for the evaluation of complex community programs. Robert M. Goodman, Ph.D., M.P.H., M.A., is a Professor and Chair, Department of Behavioral and Community Health Sciences, Graduate School of Public Health, University of Pittsburgh. Dr. Goodman has written extensively on issues concerning community health development, community capacity, community coalitions, evaluation methods, organizational development, and the institutionalization of health programs. He has been the principal investigator and evaluator on projects for CDC, The National Cancer Institute, The Centers for Substance Abuse Prevention, The Children’s Defense Fund, and several state health departments. In 2004, Dr. Goodman received the Distinguished Fellow Award from the Society for Public Health Education, the highest honor it bestows. Currently, Dr. Goodman is consulting on community-based public health practices and empowerment evaluation with the Diabetes Translation and Injury Prevention Branches at CDC. Also, he is leading an evaluation of community-based approaches to increasing interest in cancer clinical trials.
Keynote:
Exploratory
Evaluation: Efficient Allocation of Evaluation Resources
Exploratory evaluation, also known as evaluability
assessment, is a pre-evaluation technique that can improve
the chances of obtaining useful information from evaluation.
It has been extensively used in health and education
programs and is becoming increasingly common in recent
years. This presentation will outline the technique and
illustrate with applications at federal, state and local
levels. The participant will gain a better understanding of
the advantages and limitations of this technique. Laura C. Leviton, Ph.D. is a Senior Program Officer of the Robert Wood Johnson Foundation. She has overseen evaluations in most of the areas of focus for the Foundation, and now works primarily on initiatives in preventing childhood obesity and in improving the quality of medical care. Before joining the Foundation she was a Professor of Public Health at University of Alabama at Birmingham (UAB) and before that, on faculty of the University of Pittsburgh School of Public Health. Dr. Leviton is a leading writer on evaluation methods and practice, in particular for disease prevention. She was President of the American Evaluation Association in the year 2000, coauthored a leading evaluation text, and serves on several editorial boards for evaluation journals. She received her Ph.D. in social psychology from University of Kansas and postdoctoral training in evaluation research from Northwestern University. Using the Balanced Scorecard: A Tool in Performance Monitoring Level: All The emphases on accountability and continuous quality improvement in private, public, and non-profit sectors has created renewed interest in performance measurement and systems of “dashboard metrics.” Yet, unless these are linked organically to an organization’s mission and strategy, time and effort put into measurement will not pay off in program improvement. This session will showcase the Balanced Scorecard as an approach to translating organizational mission and strategy into a strategic measurement and management system. The session will provide an overview of the Balanced Scorecard approach, which assesses functions across four “balanced” perspectives: financial, customers, internal business processes, and learning and growth, and discuss the necessary modifications to the approach to make it most useful for public and non-profit organizations. The presentation will allow the participants to better understand and implement the Balanced Scorecard process, with specific emphasis on: effectively planning the Balanced Scorecard process and exercising flexibility in adapting the process to your performance management framework; identifying the critical performance measures, targets and initiatives, and creating and sustaining overall Balanced Scorecard success. Harry E. Chambers is President of Trinity Solutions, Inc., an Atlanta-area consulting and training firm specializing in organizational development, leadership, and team coaching and building. He is a nationally-known presenter and trainer, and an award-winning author on topics in leadership and management, most recently, No Fear Management: Rebuilding Trust, Performance, and Commitment in the New American Workplace and The Bad Attitude Survival Guide. Harry has trained, facilitated and consulted with leaders of America’s top corporations as well as public sector and non-profit agency leadership. He is a frequent presenter at Inc. Magazine’s Leadership Development Conferences and his work has been featured on the web sites of CNN FN and Business Week OnLine. His articles, excerpts, and direct quotes appear in many publications and journals, including Executive Excellence, Investors Business Daily, Success and Cosmopolitan magazines. He has been interviewed on NBC’s Today Show, ABC’s Morning News and National Public Radio’s Morning Edition. Evaluation 101: An Overview for New Evaluation Practitioners
This training session is full. Registration is no longer available
for this session. Enhanced Group Facilitation: Techniques and Process This training session is full. Registration is no longer available for this session. Level: All This workshop will familiarize participants with a variety of group facilitation techniques as well as the management of the facilitation process. Participants will learn how to choose a facilitation technique based on goals and objectives, anticipated outcome, type and number of participants, and logistics. Two to three facilitation techniques for generating ideas and focusing thoughts on both defined and undefined issues will be explored in greater detail. These techniques, and their variations, will include focus groups, item writing, and nominal group technique. Participants will also learn more about the different roles and responsibilities they may have in group facilitation (there are more than you think!), and how these roles intersect with the tasks inherent in planning and managing a group facilitation experience. Job aides and reference lists will be provided. Jennifer Dewey, Ph.D., is a Technical Director with the research and evaluation professional services firm of ORC Macro. Jennifer leads Site Management, overseeing ongoing training and technical assistance to local evaluation teams for the national evaluation of the Comprehensive Community Mental Health Services for Children and Their Families Program. Prior positions include Director of Internal Evaluation at Learning Point Associates, Senior Consultant at Andersen, and post-doctoral scholar at the Center for Prevention Research at the University of Kentucky. Jennifer holds a doctorate in Applied Experimental Psychology with a specialization in program evaluation. Her knowledge and skills encompass project management, proposal development, methodological and statistical design, qualitative and quantitative analysis, needs assessment, survey development, telephone and in-person interviews, and group facilitation. Jennifer has published in the Journal of Primary Prevention, American Journal of Evaluation, Advances in Developing Human Resources, and has made over 40 professional conference presentations. Exploring Diverse Approaches to Causal Attribution and Practice-Based Evidence (Register for: Causal Attribution and Practice-Based Evidence) Level: Intermediate Following on the keynote presentation in the previous hour, this interactive discussion session will provide opportunities to explore the experience of evaluators and other participants in constructing evidence and using evidence together with theory, professional experience, and indigenous colloquial knowledge in the planning of programs and the design of interventions. The gaps inevitably found between science and practice, and the fit of scientific findings with the situations in which such findings would seem to recommend specific “best practices,” will be examined to discover ways in which such gaps might be closed and the fit improved. We will challenge the conventions of inferring “best practices” from specific types of systematic literature review criteria, and the peer review mechanisms that support their perpetuation in funding and publication decisions. We will explore some approaches to assuring greater external validity in the decisions leading to the funding and publication of research, giving greater weight to context and to moderating variables to balance the current emphasis on internal validity, context-free universal truths implied by the weight given to controlled trial evidence. Professor Lawrence W. Green co-leads the Social and Behavioral Sciences Program at the University of California at San Francisco Comprehensive Cancer Center. He recently retired from CDC as Distinguished Fellow-Visiting Scientist and Director of the Office of Science and Extramural Research. He has served on the medical and public health faculties at Berkeley, Johns Hopkins, Harvard, Texas, UBC, Emory, and Maryland Universities. He is a past President and Distinguished Fellow of the Society for Public Health Education, recipient of the American Public Health Association's highest awards, the Distinguished Career Award and Award of Excellence, and the American Academy of Health Behavior Research Laureate Medal. Sampling 101: Basics of Probability and Purposeful Sampling Level: All Choosing and implementing an appropriate sampling strategy can affect the validity, credibility and cost of an evaluation. Some studies require sophisticated probability sampling methods to produce accurate estimates of the characteristics of the populations served or of the size of the effects of the program or policy on the target population. Other studies may appropriately use purposeful samples to support theory development or to do detailed case analysis. In this workshop, participants will be exposed to alternative sampling strategies that are frequently used in evaluation and social research. In the workshop, the instructor will address the 14 questions from his book Practical Sampling (Sage, 1990) that should be answered prior to sample design, as a part of sample design, and prior to analysis of the data. The participants will become acquainted with ways to plan and implement sampling strategies that meet the needs of an evaluation. Examples will be used to illustrate the designs and issues that arise in implementation. Participants will have the opportunity to raise specific sampling issues that they have encountered in their own work. Gary T. Henry is a professor in the Andrew Young School of Policy Studies at Georgia State University. He previously served as the Director of Evaluation and Learning Services for the David and Lucile Packard Foundation. Henry has evaluated a variety of public policies and programs and has published extensively in the field of evaluation and education policy. He received the Evaluation of the Year Award from the American Evaluation Association in 1998 for his work with the Georgia’s Council for School Performance and the Joseph S. Wholey Distinguished Scholarship Award in 2001 from the American Society for Public Administration and the Center for Accountability and Performance. Dr. Henry currently serves on scientific peer review panels for the Institute of Education Sciences, U.S. Department of Education and on a National Research Council/National Academy of Science panel assessing the effects of “green schools” on the health and productivity of teachers and students. Systems Thinking and Public Health This training session is full. Registration is no longer available for this session. Level: Intermediate The persistent challenges that show up most in public health often share common characteristics. They defy quick fixes, they build and dissipate slowly over time, they are rarely “owned” by any one player in the system but affect all, and their components are tightly coupled. The analytical approaches of systems thinking, which was invented in the 1950s at MIT, was created to address such “systems” problems. Systems thinking uses diagramming and simulation modeling to help groups of people improve their understanding of how to improve the performance of a range of social/physical systems such as a city, an ecosystem, an industry, or, in this context, a population facing a threat to their health. In this interactive session, participants will learn about a systems thinking perspective on public health, learn about causal mapping techniques, learn about insights generated by a computer-based “management flight simulator” created with the Division of Diabetes Translation at CDC, and have the opportunity to reflect on applying systems thinking to the public health challenge they face.
Drew
Jones is a project director with Sustainability
Institute. His work focuses on applying systems thinking
approaches to a wide range of societal concerns,
particularly in the public health and environmental areas.
Working with CDC’s Division of Diabetes Translation, he has
led the development of the Diabetes System Model, which is
shaping diabetes strategies at the national and state level.
A paper on the work was recently published in the March 2006
issue of AJPH. Mr. Jones received a B.A. in Engineering
Sciences and Environmental Studies from Logic Models as a Platform for Program Evaluation Planning, Implementation, and Use of Findings Level: All Practitioners use logic models to describe important components of a program; make visible a theory of change; and link activities to intended outcomes. For the purposes of evaluation practice, a well-constructed logic model provides a program-specific foundation for identifying evaluation questions; prioritizing data needs; and translating findings into recommendations for ongoing program improvement. Aimed directly at improving the utility of logic models and quality of evaluation practice in your setting, the workshop addresses 2 questions: (1) What are the hallmarks of a well-constructed, scientifically-sound and useful logic model? (2) How do we maximize the use of logic models for program evaluation planning, implementation and use of findings? Workshop Objectives:
Goldie MacDonald, Ph.D. is the National Evaluation Coordinator for the Steps to a HealthierUS Cooperative Agreement Program in CDC’s National Center for Chronic Disease Prevention and Health Promotion. Dr. MacDonald is an experienced facilitator and provides leadership and technical expertise on program evaluation planning, implementation, and the use of findings to inform program improvement at both the national and community levels. Much of her work focuses on identifying appropriate strategies for documenting program processes and outcomes toward increased accountability to diverse program stakeholders. She also provides expertise on participatory approaches to program evaluation, utilizing qualitative methods of data collection, and the use of logic models as a platform for program planning and evaluation. She is lead author of “Introduction to Program Evaluation for Comprehensive Tobacco Control Programs.” For their work on this publication, the authors received the Alva and Gunnar Myrdal Award for Government from AEA in November 2002. Sorry- Handouts are posted online at the presenters discretion and are not available for this session. Principled Discovery: Learning From Your Data, with Reason Level: Intermediate - one should take the Training or the Breakout with Dr. Mark, but not both Too often, quantitatively-trained evaluators are taught to test only a priori hypotheses. But evaluation data are too valuable not to try to learn the unanticipated lessons they may have to tell. These can be lessons about how the program operates differently in different contexts or with different subgroups of client. Or lessons about why the program works (or doesn’t). Or lessons about different subgroups of clients, or service providers, that we didn’t realize existed in advance. Some evaluators have learned ways to "snoop" in or “mine” their data. However, without ways to make the snooping/ mining principled, there are serious risks of getting it wrong. We will explore many ways of learning from one's data, including tests of moderation; graphical methods; post hoc use of clustering methods; exploratory investigation of higher-level variables in multilevel models; and exploratory searching for mediators and countervailing effects. In addition, we will discuss multiple ways of making new discoveries principled, other than the familiar notions of replication. The session will also provide a conceptual introduction to (or review of) some current quantitative methods such as multilevel models and structural equation modeling. Melvin M. Mark, Ph.D. is Professor of Psychology at Penn State University , Editor Emeritus of the American Journal of Evaluation and President-elect of the American Evaluation Association. He has conducted federally funded evaluations in the areas of prevention programs for at-risk youth, federal personnel policies, and industrial modernization, and has been involved in evaluations of state and local programs. An award-winning teacher, he has published numerous papers and chapters on the theory and design of evaluation. Among his books are Evaluation: An Integrated Framework for Understanding, Guiding, and Improving Policies and Programs (Jossey-Bass, 2000) and a forthcoming Handbook of Evaluation (SAGE London). Focus Group Research: Understanding, Designing and Implementing This training session is full. Registration is no longer available for this session. Level: All As a qualitative research method, focus groups are an important tool to help researchers understand the motivators and determinants of a given behavior. This course provides a practical introduction to focus group research. At the completion of this course, participants will be able to 1) identify and discuss critical decisions in designing a focus group study, 2) understand how research or study questions influence decisions regarding segmentation, recruitment, and screening; and, 3) identify and discuss different types of analytical strategies and focus group reports. Michelle Revels and Bonnie Bates are technical directors at ORC Macro specializing in focus group research and program evaluation. Ms. Revels attended Hampshire College in Amherst, MA and the Hubert H. Humphrey Institute of Public Affairs at the University of Minnesota. Ms. Bates, also a trained and experienced focus group moderator and meeting facilitator, received her bachelor’s and master’s degree in criminal justice from the University of Maryland. Exploring Effect Size and Measures of Association Level: Intermediate Answer the call to report effect size and association measures as part of your evaluation results. This workshop will improve your capacity to understand and apply a range of measures including: standardized measures of effect sizes proposed by Cohen, Glass, and Hedges; Eta-squared; Omega-squared; the Intraclass correlation coefficient; and Cramer’s V. Through mini-lecture and demonstration you will improve your understanding of the theoretical foundation and computational procedures for each measure. The session will include: definitions of and procedures for computing a range of effect size and association measures, a presentation that examines the relationships among the common measures, and description of computation of selected confidence intervals for effect sizes and association measures. You will receive SPSS and SAS software program codes for performing many of the computations related to the measures and common confidence intervals. Jack Barnette, PhD has served as a faculty member at Penn State University , University of Virginia , University of Memphis , University of Alabama at Tuscaloosa , University of Iowa , and is now Senior Associate Dean for Academic Affairs and Professor of Biostatistics at the University of Alabama at Birmingham . He has served as an APHA Statistics Council Member and Section representative to the APHA Action Board. Presently, he is chairing the ASPH biostatistics competency workgroup and is co-chair elect of the ASPH Biostatistics/Epidemiology Section. He has more than 30 years experience in teaching, advising students, and applying research, evaluation, and statistical methods to a wide variety of educational and public health projects. He has conducted evaluations of projects funded by CDC, HRSA, SAMHSA, NHLBI, and NIOSH. He serves on three of the ASPH/CDC Preparedness Exemplar Groups: Education and Evaluation Methods, Certificate Programs, and University-based Student Preparedness. He has been conducting research on the use of effect sizes and measures of association for the past seven years and he has presented pre-sessions on this topic at the last three AEA annual meetings. He holds the PhD in Educational Research and Development from Ohio State (1972).
Integrating
Goals, Performance Measurement, and Evaluation Level: Intermediate While this session will be taught by CDC staff, the focus is on how any large organization integrates evaluation, planning and performance monitoring. CDC, like many large organizations, is moving to “performance-informed” management, where its program components align their efforts with enterprise-wide goals and objectives, progress is monitored through good performance measurement, and findings are continuously fed back for target evaluation and program improvement. There are challenges in any organization at each step in this cycle, and then a second set of challenges in integrating the steps so that they are mutually supportive. In this session, using some cross-cutting cases, we’ll walk through the development of enterprise goals and objectives, how to align program efforts with goals, how to identify a strong set of performance measures, how to use performance measurement to guide program evaluation, and how to ensure that findings from performance measurement and evaluation feed program improvement. We’ll focus especially on the key roles evaluators and evaluation skills can play in this continuous quality improvement cycle. The CDC/OSI Goals Team has responsibility for coordinating and supporting the goals management process at CDC. Currently, that means identifying, training, and providing analytic and logistical support to more than 20 goal action teams; helping those teams produce quality and timely products; creating knowledge management systems to support their efforts; and doing CDC-wide communication and training to build knowledge and support for the goals process among CDC programs and staff. Designing Evaluations for Impact This training session is full. Registration is no longer available for this session. Level: Intermediate Many evaluations have as a goal to impact decision-making or policy formulation by providing systematic empirical feedback. Information can be intended for a variety of audiences including sponsors, client-groups, administrators, staff, and other relevant constituencies. Most often, evaluation information is considered to have an impact if it aids in decision-making. However, the relationship between an evaluation and its impact is not simple. Based on empirical knowledge, we know that there are steps that an evaluator can take to help to ensure that an evaluation has impact. The goal of this workshop is to provide participants with an understanding of, a framework for, and specific strategies that will increase the likelihood than an evaluation will have impact. In this session, using participants’ own programs and experiences, we will first explore the conditions that can influence an evaluation’s impact. Participants will then engage in interactive discussions about the specific methods used for increasing evaluation impact. Small group activities and simulation and role-play exercises will be used to explore the use of specific methods for increasing impact and to foster original and rigorous thinking about how to apply the particular strategies presented to participants’ own contexts and programs. Christina A. Christie is an Assistant Professor, Director of the Masters of Arts Program in Psychology and Evaluation, and Associate Director of the Institute of Organizational and Program Evaluation Research at Claremont Graduate University. Her research, which has been supported by several funders including the Haynes Foundation, focuses on investigating the relationship between evaluation theory and practice and issues related to the development of descriptive theories of evaluation. She has also received funding from a variety of sources, including the National Science Foundation, the U.S. Department of Education, and the Hewlett-Carnegie Foundation to evaluate social, education, and health behavior programs targeting high-risk and underrepresented populations. Christie co-founded the Southern California Evaluation Association, a local affiliate of the American Evaluation Association, and is the former Chair of the Theories of Evaluation Division of the American Evaluation Association. In 2004, Christie received the American Evaluation Association’s Marcia Guttentag Early Career Achievement Award. Sorry- Handouts are posted online at the presenters discretion and are not available for this session.
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