Creating Uniform Standards for Research and Development Evaluation Panel: Cooperative Efforts in...

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Creating Uniform Standards for Research and Development Evaluation Panel: Cooperative Efforts in International Science and Technology Evaluation American Evaluation Association/ Canadian Evaluation Association joint meeting October 28, 2005 Cheryl J. Oros Director, Planning and Accountability Cooperative State Research, Education, and Extension Service

Transcript of Creating Uniform Standards for Research and Development Evaluation Panel: Cooperative Efforts in...

Creating Uniform Standards for Research and Development Evaluation

Panel: Cooperative Efforts in International Science and Technology Evaluation

American Evaluation Association/ Canadian Evaluation Association joint meeting

October 28, 2005

Cheryl J. Oros Director, Planning and Accountability

Cooperative State Research, Education, and Extension Service

Evaluation Goals – Aid Decision Makers

Evaluation is applied research in service to decision makers Provide performance and evaluation

results which will enable managers and decision makers to implement, manage, refine, and show the impact of the highest quality programs.

Meet external accountability requirements

Planning/Decision Making

• Identify needs, problems, solutions, refinements

•Conceptualization of Program

•Formulation of Evaluation Questions and Design

Implementation

• Actualize the Program Plan

•Collection of Evaluation Data

• Analysis of Data

Evaluation Feedback

•Feedback of Evaluation Findings to Managers

•Refinement of Program

•Continued Funding

Evaluation/Management Cycle

Standardization Recommendations

Use of Strategic Planning, with alignment of research portfolios, programs, and projects

Use of OMB/ NAS Research and Development Criteria

Use of logic models to develop relevant evaluation questions, indicators, and approaches

Typical designs used to assess program effectiveness

Design features that help control for alternative explanations

Best suited for (typical examples)

Process and outcome monitoring or evaluation

Compares performance to pre-existing goal or standard. For example:

OMB R&D criteria of relevance, quality and performance.

Productivity, cost effectiveness and efficiency standards

Research, enforcement, information and statistical programs, and business-like enterprises with

few, if any, alternative explanations for observed outcomes.

ongoing programs producing goods and services

complete national coverage

Quasi-experiments – Single Group

Compare outcomes for program participants or entities before and after the intervention.

Multiple data points over time are necessary. Control for alternative explanations by statistical

adjustments and analyses such as modeling.

Regulatory and other programs with clearly defined interventions with distinct

starting times complete national coverage random assignment of participants or entities

to groups is NOT feasible, practical, or ethical.

Quasi-experiments- Comparison Groups

Compares outcomes for program participants or entities with outcomes for a comparison group selected to closely match the “treatment” group on key characteristics.

Key characteristics are plausible alternative explanations for the outcome.

Measure outcomes before and after intervention (pretest, posttest).

Service and other programs with clearly defined interventions that can be

standardized and controlled limited national coverage random assignment of participants or entities

to groups is NOT feasible, practical, or ethical.

Randomized experiments

Compares outcomes for randomly assigned program (treatment) participants or entities with outcomes for a randomly assigned “control” group prior to intervention.

Measure outcomes before and after intervention (pretest, posttest).

Service and other programs with clearly defined interventions that can be

standardized and controlled limited national coverage random assignment of participants or entities

to groups is feasible and ethical.

Table 2: Common Evaluation Approaches For Assessing Program Effectiveness

New U.S. federal encouragements to standardize evaluation approaches

PART BPI Budget Justifications

OMB PART OMB’s Program Assessment

Rating Tool Program Purpose & Design Strategic Planning Program Management Program Results

Federal Budget & Performance Integration

Budget submissions need alignment with goals & objectives, with funds distributed accordingly, along with quantifiable performance measures

Explanatory Notes/ Budget Justifications

Introduction: national problem, why important & how CSREES plans to solve problem

How CSREES plans to spend funds

What would happen if funding not received

Budget justifications (cont.)

Draw on past accomplishments Identify performance

measurements and evaluation plans

Acknowledge and deal with environmental complexities

Example of fully aligned Strategic Goals:

1. Enhance economic opportunities for agricultural producers

2. Support increased economic opportunities and improved quality of life in rural America

3. Enhance protection and safety of the nation’s agriculture and food supply

4. Improve the nation’s nutrition and health5. Protect and enhance the nation’s natural

resource base and environment

Cascading Alignment.

Goal

Strategic Objective

Portfolio

Topic areas

Programs/projects

Mission

Alignment ExampleGoal 3: Enhance Protection & Safety of Food Supply

Strategic Objective 3.2 b: Animal Protection

Animal Protection Portfolio

Knowledge Areas• (KA 311) Improve the management of animal diseases• (KA 312) Increase knowledge & improve management of pests & external parasites• (KA 313) Increase knowledge to control internal parasites• (KA 314) Reduce losses in livestock, poultry, and fish• (KA 315) Develop and implement effective animal care

Evaluating Research & Education Efforts: Portfolio Approach

OMB PART/BPI led to development of new portfolio assessment tool and measures

Portfolio analysis (meta-analysis) used to assess progress toward goals; guide future research plans

Uses OMB (NAS) R&D criteria (relevance, quality, performance)

“Portfolio” concept Allows numerous complex

interrelated programs, funding lines, and research projects to be described as they address strategic objectives and goals

Portfolio Review Expert Panel (PREP) Process

Focus on outcomes rather than processes

Level of analysis is a portfolio identified via research topic areas in databases

Scores portfolio progress & provides recommendations for Agency

Evidentiary materials Tracks papers, citations, patents,

products, educational efforts, adoption of products/ practices

Entire evaluation studies and special analyses

Budget tables to show portfolio priorities and emphases

5 Dimensions of Relevance

Scope Focus on critical needs Identification of emerging

issues Integration of CSREES

programs Interdisciplinary integration

4 Dimensions of Quality

Significance of findings & outputs

Stakeholder assessment Alignment of portfolio with

current science Methodological rigor

5 Dimensions of Performance Portfolio productivity Portfolio completeness Portfolio timeliness Agency guidance relevant

to portfolio Portfolio accountability

Inputs Outputs

Activities- What we do

Outcomes-Impact

Short term Medium Term Long Term

Assumptions External Factors

EvaluationFocus - Collect Data – Analyze and Interpret - Report

What we invest

•Investments $

•Collaborative Ventures

•Researchers

•Labs & Facilities

Research:

•Conduct studies

•Design new techniques/ technologies

•Develop models

Dissemination:

•Publications

•Citations

•Patents

•Networking

What the short term results are

New Knowledge, technologies, techniques, products developed and commercialized

What the medium term results are

Adoption/ use of new knowledge, technologies, techniques, products

What the ultimate impact(s) is

•Needs met

•Problems solved

•Opportunitiesseized

Situation

Needs, Problems, and Opportunities

Priorities:

Consider:

Mission

Vision

Values

Mandates

Resources

Local Dynamics

Collaborators

Competitors

Intended Outcomes

Generic Research Logic Model Worksheet

CSREES Marine Shrimp Virus Research Logic Model

Situation Inputs Activities Outputs Outcomes

•Legislation: Marine Shrimp Farming Program goal is to reduce American multi-billion dollar trade deficit by developing U.S. shrimp farming industry

•Problem: New and virulent viral diseases threaten the US & world shrimp farming industry

•Research needed to mitigate viral threats

•Research needed on high-priority opportunities to develop a sustainable U.S. commercial shrimp farming industry.

US Marine Shrimp Farming Program (USMSP) funds$4 million per year$20 million over 5 year-period

• Human Capital:FacultyResearchersIndustry• Labs

Basic Research

Genetic research for:

•Identification of shrimp diseases

•Disease prevention

•Disease resistance

Applied research

Production:• New pedigree lines for disease resistance• New products

Marketing•Developed Marketing Strategies for shrimp

ExpandedKnowledge basere Marine Shrimp Viruses

Developed biosecurity protocol methods & diagnostic tests

•Marker-assistedSelection for genetic shrimp stock

•Developdiagnostic field kits for viruses

•Disseminate informationvia website

•Breeding strategies for SPF stocks and TSV resistance

•Use biosecurityand bestmanagementpractices

•Reducewater usageratesshrimpproduced

•Reduce Levels of contaminants (TSS, NH3 and CBDO) to lbs of shrimpsproduced

•New lines Created due toresearch

•Reduction of disease transfer

•Produce andDistribute Selected stocks

•Improved economic opportunityfor producers& communities

Short Medium Long

Assumptions- Joint efforts are likely to find better solutions;without the federal lead, research in this areas will not move forward; basic research in genetics is needed and will pay off in applications for combating disease; marketing research needed to complete commercialization

External Factors – Shrimp prices, global trade in shrimp broodstock, new shrimp virus outbreak, intensive vs. Extensive management/production facilities, environmental activists’ reactions, transportation issues

Dissemination:•Publications, citations, patents, Networking; industry briefs

Extension

Train producers in best management practices

Management of Forest and Rangelands Logic Model

Situation Inputs Activities Outputs Outcomes

In the 21st Century, the nation’s forest and grasslands face four threats:

•Fire and fuels•Invasive Species•Loss of open space•Unmanaged recreation

Rehabilitate and restore treatment priorities where risks are the greatest; prevent and contain the spread of invasive species; slow the loss of open space due to development; and manage the use of national forest for outdoor activities to increase the sustainability of our national forests and benefits to the American people

•A well balanced ecosystem is an imperative backbone for the survival of nation’s natural resources and environmental base.

•Federal dollars•State Appropriations

• Human Capital:FacultyResearchersIndustry• Labs

Basic Research

•Determine Influence of fungal associations on fitness of sibling beetles

•Determine if mycangial fungal associates change in nutrient quality of tissue

•Identify genes for Dutch Elm disease resistance in American Elm.

•Identify inhibitors that will reduce growth of branches and apical shoots.

Applied research

Invasive SpeciesDevelop a novel pesticide which usesherbivore and preferential grazing habits of sheep and cattle to offset the damage of leafy spurge

Develop semiochemical-based monitoring and protective techniques to enhance integrated control strategy for pine tip moth

Calculate changes in regional biogeochemistry due to urban expansion during the past several decades

ExtensionOregon State will assist ranchers in solving problems related to rangeland ownership and management

Assist in revitalization in cooperation with utility companies and encourage the planting of trees around homes and buildings

Train producers in use of best management practices

Conduct workshops including homeowners, community leaders, fire professionals, insurance company representatives, real estate professionals and others

Short Medium Long-term

•Increase knowledge of rangelands for land owners and students•Invasive speciesChange beliefs that pesticides must consist of invasive or abrasive agents•Identifiy genes for Dutch Elm disease resistance•Discovergibberellin synthesis inhibitors

•Paclobutrazol and flurprimidol will significantly reduce elongation growth•New community partnerships will be developed to increase fire awareness

•Implement new ways to extend rangeland and environmental issues beyond a political framework

Invasive SpeciesUtilize new species to ward off pests

•Changes in technologies for controlling pests and diseases of urban trees, development of “designer” trees that can adapt to a wide range of urban environment

•Increaseoverall individual and community fire awareness and action

•Habitat iwill be restored at low cost while biodiversity will rebound

Recreation & wilderness

Lawsuits will be reduced which in turn will save money

•A healthy, livable and sustainable urban forest ecosystem

•Increased surveillance to guard against invasive species

•Identifypromising technologies in fire protection

•Increase economic opportunities for natural resources

External Factors – Bio terrorism, invasive species, environmental disasters/concerns, high energy consumption by competitorsand global trade of wood products

Assumptions –Basic research is needed in identified areas to allow applied research to occur; extensive extension will be needed to alert targeted groups to new technologies and techniques

Logic model benefits 1. Improves management

Requires that everyone articulate and agree on achievable outcomes

Helps provide roadmap for implementation

Allows everyone to recognize specific data needed for performance assessment and proof of accomplishments

Logic model benefits (cont.) 2. Facilitates evaluation

Facilitates the creation of evaluation designs

Facilitates the identification and selection of appropriate data elements

Facilitates appropriate data collection Helps in the provision of measurable

impacts

Logic model benefits (cont.) 3. Facilitates accountability

reporting and funding decisions Establishes links between problems

areas and strategic plan Extremely useful in justifying additional

funds Takes fuzziness out of the program Helps in demonstrating attributional

links in a chain of activities

Use of Honeycomb Graphics Key players; roles and coordination Address questions of overlap and

duplication across agencies/depts. Show topic area (Portfolio and PAs)

in context of world, U.S. partnersips, federal entities, USDA, and within CSREES

PA 215

PA 213

PA 212

PA 214

PA 211

PA 211 Insects, Mites and Other Arthropods Affecting Plants

Accomplishments

Needs

Detection/ Diagnosis

Prevention

Ecology

Biology

Management

Economics and Safety

Epidemiology

PA 215

PA 213

PA 212

PA 214

PA 211PA 211

PA 216

Plant Protection Portfolio

Areas of Science:

Acc

om

plis

hm

ents

Nee

ds

PA 212 Pathogens and Nematodes Affecting Plants

Detection and

Diagnosis

Prevention

Ecology

Biology

Management

Economics and Safety

Epidemiology

Prevention

Biology and Ecology

Detection & Diagnosis

Epidemiology

Management

Economic Sustainability and Safety

•Disease free seed and stock for some diseases

•Breeding resistant plants

•Novel types of resistance genes

•Marker assisted selection

•Ability to identify some unculturable organisms

•Characterizing take-all suppressive soils

•Ecology of vectors

•Genomic sequencing

•Molecular communication between plants and microbes

•Programmed cell death

•Pathogen’s genetic fingerprint used for rapid diagnosis

•Pathogenicity sequences identified

•Digital diagnosis / NPDN

•Seed propagation certification programs

•Quarantine programs

•Traditional detection methods

•Understanding dynamics of spread

•Understanding mechanisms of spread

•Forecasting of disease based on knowledge of environmental parameters

•Biological control –e.g., A. radiobacter, Trichoderma, nematodes

•Chemical control (pathogen and/or vector)

•Cultural practices, IPM

•Disease loss estimates

•Trade embargoes – international and interstate

•Safer pesticides, reduced use through IPM

Prevention

Biology and Ecology

Detection & Diagnosis

Epidemiology

Management

Economic Sustainability and Safety

•Isolate resistance genes, create resistance genes

•Interfere with mechanisms of signaling, pathogen’s virulence systems

•Durable resistance (understanding)

•Functional genomics, proteomics, bioinformatics

•Non-host resistance

•Publicly accessible databases for genome-enabled biology

•Ability to detect individuals within a microbial population

•Rapid / high-throughput methods of detection (user friendly/economical)

•Genomic reclassification of microbial taxonomy

•Culture collection and characterization, and specific DNA probes for identification

•Other pathogens genetic fingerprint for rapid diagnosis

•Other pathogenicity sequences

•Influence of global change on pathogen spread and disease establishment

•Accurate determination of disease origin

•BC agents – establishment, mechanisms, compatibility

•Alternatives to methyl bromide

•Post-harvest disease

•Chemical induction of resistance

•Chemical resistance management

•Better understanding of impacts of diseases

•Development of sustainable production practices

•Development of trace-back

PA 215

PA 213

PA 212

PA 214

PA 211PA 211

PA 216

Plant Protection Portfolio

Use of Research Evaluation as Leadership Tool

The PART and BPI have raised consciousness and focused attention on post-project management and use of evaluation results for planning

Summary

Use of Logic Models and Portfolio graphics provide clear and concise maps of work

Meaningful outcome indicators for OMB PART and BPI provided via scores from panel

Panelists provided useful recommendations

Managers have used PREP recommendations in planning, writing RFAs, budget, etc.

Summary (Cont.) PREP process provided panelists

with new insights in planning and accountability to spread around US

PREP improved panelists’ understanding and willingness to integrate their activities into the overall federal goals identified

Contact Information Telephone: 202/ 720-5623 Fax: 202/ 720-7714 CSREES Web site:

www.csrees.usda.gov Email: [email protected]