An overview of impact evaluation for organizations based on a program's Theory of Change, highlighting the need for a counterfactual and randomization (when possible) in order to convincingly demonstrate the effect of the program.
I gave this talk at a Nigeria Health Summit in March 2016. It was an introduction to impact evaluation: what it is, when it's a good idea, and some possible approaches.
Presentation by Lini Wollenberg, Low Emissions Development Leader, CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) at the Green Climate Fund Independent Evaluation Unit Learning-Oriented Real-Time Impact Assessment (LORTA)
Program Inception Workshop
July 24-26, 2018 Bangkok, Thailand
An overview of impact evaluation for organizations based on a program's Theory of Change, highlighting the need for a counterfactual and randomization (when possible) in order to convincingly demonstrate the effect of the program.
I gave this talk at a Nigeria Health Summit in March 2016. It was an introduction to impact evaluation: what it is, when it's a good idea, and some possible approaches.
Presentation by Lini Wollenberg, Low Emissions Development Leader, CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) at the Green Climate Fund Independent Evaluation Unit Learning-Oriented Real-Time Impact Assessment (LORTA)
Program Inception Workshop
July 24-26, 2018 Bangkok, Thailand
Introduction to the Logical Framework ApproachDamien Sweeney
An introduction into the Logical Framework Approach, and its use and usefulness for project design, project planning, in the international development sector and beyond.
Presentation Training on Result Based Management (RBM) for M&E StaffFida Karim 🇵🇰
Planning, Monitoring, Evaluation & Reporting together for developmental results: Results-based Management-RBM (RBM)?
Logical Framework Approach (LFA)
Planning for results
Monitoring for results
Evaluating for results
Enhancing the use of knowledge from monitoring and evaluation
This presentation explains the difference between Monitoring and Evaluation; the types of M&E frameworks; steps in logical framework and its difference from theory of change.
A simple presentation about Monitoring and Evaluation prepared by Jubair Ahmad Musazay for interns from Kabul University who are undergoing their internship program in General Directorate of Policy, Monitoring and Evaluation of Afghanistan National Development Strategy (ANDS), in Ministry of Economy of Islamic Republic of Afghanistan.
Uploaded in Slideshare for the purpose of sharing and spreading knowledge.
This presentation has a vivid description of the basics of doing a program evaluation, with detailed explanation of the " Log Frame work " ( LFA) with practical example from the CLICS project. This presentation also includes the CDC framework for evaluation of program.
N.B: Kindly open the ppt in slide share mode to fully use all the animations wheresoever made.
Introduction to the Logical Framework ApproachDamien Sweeney
An introduction into the Logical Framework Approach, and its use and usefulness for project design, project planning, in the international development sector and beyond.
Presentation Training on Result Based Management (RBM) for M&E StaffFida Karim 🇵🇰
Planning, Monitoring, Evaluation & Reporting together for developmental results: Results-based Management-RBM (RBM)?
Logical Framework Approach (LFA)
Planning for results
Monitoring for results
Evaluating for results
Enhancing the use of knowledge from monitoring and evaluation
This presentation explains the difference between Monitoring and Evaluation; the types of M&E frameworks; steps in logical framework and its difference from theory of change.
A simple presentation about Monitoring and Evaluation prepared by Jubair Ahmad Musazay for interns from Kabul University who are undergoing their internship program in General Directorate of Policy, Monitoring and Evaluation of Afghanistan National Development Strategy (ANDS), in Ministry of Economy of Islamic Republic of Afghanistan.
Uploaded in Slideshare for the purpose of sharing and spreading knowledge.
This presentation has a vivid description of the basics of doing a program evaluation, with detailed explanation of the " Log Frame work " ( LFA) with practical example from the CLICS project. This presentation also includes the CDC framework for evaluation of program.
N.B: Kindly open the ppt in slide share mode to fully use all the animations wheresoever made.
Learn how to navigate Stata’s graphical user interface, create log files, and import data from a variety of software packages. Includes tips for getting started with Stata including the creation and organization of do-files, examining descriptive statistics, and managing data and value labels. This workshop is designed for individuals who have little or no experience using Stata software.
Full workshop materials including example data sets and .do file are available at http://projects.iq.harvard.edu/rtc/event/introduction-stata
Planning the Evaluation
Impact models
Types of inference and choice of design
Defining the indicators and obtaining the data
Carrying out the evaluation
Disseminating evaluation findings
Working in large-scale evaluations
This presentation is the continuation of the first part, which was all about the basics of program evaluation. This ppt contains slides describing the impact evaluation in details and also the logical framework is also explained with practical examples.
N.B: Please go through it, using slide view to use the animation effects.
The field of program evaluation presents a diversity of images a.docxcherry686017
The field of program evaluation presents a diversity of images and claims about the nature and role of evaluation that confounds any attempt to construct a coher- ent account of its methods or confidently identify important new developments. We take the view that the overarching goal of the program evaluation enterprise is to contribute to the improvement of social conditions by providing scientifically credible information and balanced judgment to legitimate social agents about the effectiveness of interventions intended to produce social benefits. Because of its centrality in this perspective, this review focuses on outcome evaluation, that is, the assessment of the effects of interventions upon the populations they are intended to benefit. The coverage of this topic is concentrated on literature published within the last decade with particular attention to the period subsequent to the related reviews by Cook and Shadish (1994) on social experiments and Sechrest & Figueredo (1993) on program evaluation.
The word ‘evaluation’ has become increasingly used in the language of community, health and social services and programs. The growth of talk and practice of evaluation in these fields has often been promoted and encouraged by funders and commissioners of services and programs. Following the interest of funders, has been a growth in the study and practice of evaluation by community, health and social service practitioners and academics. When we consider why this move in evaluative thinking and practice has occurred, we can assume the position of the funder and simply answer, ‘...because we want to know if this program or service works’. Practitioners, specialists and academics in these fields have been called upon by governments and philanthropists to aid the development of effective evaluation. Over time, they have led their own thinking and practice independently. Evaluation in its simplest form is about understanding the effect and impact of a program, service, or indeed a whole organization. Evaluation as a practice is not so simple however, largely because in order to assess impact, we need to be very clear at the beginning what effect or difference we are trying to achieve.
The literature review begins with an overview of qualitative and quantitative research methods, followed by a description of key forms of evaluation. Health promotion evaluation and advocacy and policy evaluation will then be explored as two specific domains. These domains are not evaluation methodologies, but forms of evaluation that present unique requirements for effective community development evaluation. Following this discussion, the review will explore eight key evaluation methodologies: appreciative enquiry, empowerment evaluation, social capital,
social return on investment, outcomes based evaluation, performance dashboards and scorecards and developmental evaluation. Each of these sections will include specific methods, the values base of each methodo ...
Impact Management Principles. EVPA, European Venture Philanthropy AssociationDominique Gross
EVPA’s guidance for impact management and Social Value International’s
(SVI) Principles are in many ways interlinked. This document shows EVPA and SVI’s position on impact measurement and management.
The European Venture Philanthropy Association (EVPA) supports a fivestep
process to help organisations measure and manage their social
impact. These steps aim to help venture philanthropy organisations and
social investors (VPO/SIs) and social purpose organisations (SPOs) to implement a system to collect information in order to improve the products and services offered to the final beneficiaries.
Evaluation of SME and entreprenuership programme - Jonathan Potter & Stuart T...OECD CFE
Presentation by Jonathan Potter, OECD LEED Senior Policy Analyst, and Stuart Thompson, OECD LEED Policy Analys, tat the seminar organised by the OECD LEED Trento Centre for the Officers of the Autonomous Province of Trento on 13 November 2015.
https://www.trento.oecd.org
Evaluation for week 1, 2 and 3 mong nursing care after kidney transplantation (immediate, mediated, late), the material studied has as main findings to control hemodynamic status, blood pressure, respiratory function and capillary glucose levels; monitor the hydration situation; perform volume replacement, diuresis control every hour; fasting weigh Promote sodium and fluid restriction as indicated.
Restriction of salt and fluid becomes crucial in the management of oliguric kidney failure, wherein the kidneys do not adequately excrete either toxins or fluids (Workeneh & Batuman, 2022). What is the most important assessment for a nurse to make when caring for a client with AKI who has an elevated potassium level?
Nursing assessment for hyperkalemia patients focuses on monitoring for signs and symptoms of life-threatening cardiac dysrhythmias, as well as identifying and addressing the underlying cause of hyperkalemia. 1. Monitor heart rate and rhythm. Be aware that cardiac arrest can occur Furosemide can be used to correct volume overload when the kidneys are still responsive; this often requires high intravenous (IV) doses. Furosemide plays no role in converting an oliguric AKI to a nonoliguric AKI or in increasing urine output when a patient is not hypervolemic. Usually the presenting symptom is grossly bloody urine; the caregiver may describe the urine as smoky or bloody. Periorbital edema. Periorbital edema and/or pedal edema may accompany or precede hematuria. Fever. Glomerulonephritis signs and symptoms may include: Pink or cola-colored urine from red blood cells in your urine (hematuria) Foamy or bubbly urine due to excess protein in the urine (proteinuria) High blood pressure (hypertension) The hallmark of myasthenia gravis is muscle weakness that worsens after periods of activity and improves after periods of rest. Certain muscles are often (but not always) involved in the disorder such as those that control: Eye and eyelid movement General signs and symptoms include numbness or weakness of face, arm, or leg (especially on one side of the body); confusion or change in mental status; trouble speaking or understanding speech; visual disturbances; loss of balance, dizziness, difficulty walking; or sudden severe headache. Evaluation for week 1, 2 and 3 mong nursing care after kidney transplantation (immediate, mediated, late), the material studied has as main findings to control hemodynamic status, blood pressure, respiratory function and capillary glucose levels; monitor the hydration situation; perform volume replacement, diuresis control every hour; fasting weigh Promote sodium and fluid restriction as indicated.
Restriction of salt and fluid becomes crucial in the management of oliguric kidney failure, wherein the kidneys do not adequately excrete either toxins or fluids (Workeneh & Bfvfv fvfverfwew aswef
At the end of this presentation you will understand the essentials of financial management including building blocks and tools of financial management; accounting records; financial planning and monitoring; managing audits and how to safeguard your assets (internal control)
This presentation includes causes of maternal mortality; impact of maternal mortality; maternal health issues in northern nigeria; opportunities and strategies.
A discourse the ideal feeding practices from pregnancy to infancy with a closer look into malnutrition, breastfeeding, complementary feeding and related interventions.
Gaps/needs assessment is an investigative process with the purpose of connecting an organization's performance problems or opportunities for performance improvement to specific human performance interventions
An Accountability Framework would allow for goal directed expenditure, result-based performance monitoring, re-defined roles and responsibilities, synergistic alignment of resources, transparent reporting and data management, as well as mutual consensus on pre-determined consequences for falling short of articulated targets.
In Nigeria, every year an estimated 124,000 children under the age of 5 die because of diarrhea, mainly due to unsafe water, sanitation and hygiene. Lack of adequate water and sanitation are also major causes of other diseases, including respiratory infection and under-nutrition
An effective fieldwork logistics plan will not only help save resources, but will also make your data more reliable to enable any project or firm’s ability to meet its desired outcome
A questionnaire is a research instrument consisting of a series of questions and other prompts for the purpose of gathering information from respondents.
VFM seeks to enable decision makers know whether a program is/was worth doing, bearing in mind its costs, performance and alternative use of resources.
Qualitative research is primarily an exploratory research used to understand underlying reasons, opinions, and motivations and provides insights into the problem or helps to develop ideas or hypotheses for potential quantitative research.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
2. Knowledge Check
1. What is Impact Evaluation?
2. Is there a need for Impact Evaluation?
If yes, why? If no, why not?
3. What are the methods for conducting Impact
Evaluations?
3. Objectives
To understand the:
key concepts of Impact Evaluation.
aspects of Impact Evaluation.
3Ws of Impact Evaluation: why, what, and who
methods for conducting Impact Evaluation.
considerations for ensuring quality in Impact Evaluation
4. Impact Evaluation: what is it?
“IMPACT” refers to the positive and negative, intended and unintended, direct
and indirect, primary and secondary effects produced by an intervention.
(OECD)
•Impact evaluations measure the change in a development outcome that is
attributable to a defined intervention; (USAID)
•Impact evaluation is a systematic and empirical assessment of the effects
brought about by an intervention. (AusAID)
5. Aspects of Impact Evaluation
Impact
Evaluation
Formative
(ex-ante)
Summative
6. Formative Aspect of Impact Evaluation
Seeks to inform decisions with regards to making changes to a programme or
policy.
While many formative evaluations (i.e. baseline evaluation) focus on
processes, impact evaluations can be used formatively if an intervention is
ongoing. For example, the findings of an impact evaluation can be used to
improve implementation of a programme for the next intake of participants.
7. Summative Aspect of Impact Evaluation
Seeks to inform decisions about whether to continue, discontinue, replicate or
scale up an intervention.
Ideally, summative impact evaluation not only produces findings about ‘what
works’ but also provides information about what is needed to make the
intervention work for different groups in different settings, which can then be
used to inform decisions.
8. Impact Evaluation: Why should it be
done?
•To decide whether to fund an intervention– “ex-ante evaluation” is conducted before
an intervention is implemented to estimate its likely impacts and inform funding
decisions.
•To decide whether or not to continue or expand an intervention.
•To learn how to replicate scale up a pilot.
•To learn how to successfully adapt a successful intervention to suit another context.
9. Impact Evaluation: Why should it be
done?
•To show accountability:
reassure funders, including donors and taxpayers (upward accountability),
that money is being wisely invested.
inform intended beneficiaries and communities (downward accountability)
about whether or not, and in what ways, a program is benefiting the
community
10. What Questions Does Impact Evaluation Seek to
Answer?
High-level questions directed at the overall purpose of the intervention and should
address-:
1. Overall impact
2. Nature of impacts and their distribution
3. Influence of other factors on the impacts
4. Mode of operation
5. Alignment of intended impacts to needs
***These are not the specific questions that are to be asked during interviews
11. Overall impact
•Did it work? Did the intervention produce the intended impacts in the short,
medium and long term?
•For whom, in what ways and in what circumstances did the intervention work?
•What unintended impacts (positive and negative) did the intervention
produce?
12. Nature of impacts and their distribution
•Are the impacts likely to be sustainable? •Did these impacts reach all intended
beneficiaries?
impact
13. Influence of other factors on the impacts
•How did [the intervention] work in
conjunction with other interventions,
programs or services to achieve outcomes?
•What helped or hindered [the intervention]
to achieve these impacts?
14. Mode Of Operation
•How did the intervention contribute to intended impacts?
•What were the particular features of the intervention that made a
difference?
•What variations were there in implementation?
•What has been the quality of implementation in different sites?
•To what extent are differences in impact explained by variations in
implementation?
15. Alignment of intended impact to needs
•To what extent did the impacts match the needs of the intended beneficiaries?
16. Who Should Conduct Impact Evaluation?
Impact evaluation can be undertaken by:
an external evaluator or evaluation team (e.g Preston –ENGINE)
an internal but separate unit of the implementing organization (e.g. M&E
dept within implementing organizations)
those involved in an intervention (including community members);
a combined team of internal and external evaluators.
17. Choosing Methods for Impact Evaluation?
Evaluation
design
&
Estimation
methods
purpose of
the
evaluation
availability
of resources
nature of
the
intervention
19. Evaluation designs
Experimental
• Independent
measures
• Repeated Measures
• Matched Pairs
Quasi- experimental
• Time series
• Separate sample
pre-test/post-test
• Separate sample
pre-test/post-test
control group etc….
Non-experimental
• single-variable
research
• correlational and
quasi-experimental
research
• qualitative
research
www.simplypsychology.org/experimental-designs.html
20. Estimation methods
The are usually based on the evaluation designs. Different designs require different estimation
methods to measure the counterfactual.
The four categories of estimation methods are:
◦ Comparison of means
◦ Multi-variate regression
◦ Instrumental variables methods
◦ Double difference or difference-in-difference.
*** Counterfactual: a comparison between what actually happened and what would have happened in
the absence of the intervention
22. Considerations for quality Impact Evaluation
•UTILITY: the results of the evaluation must be useful to those who require the
information.
•ACCURACY: ensuring that findings are reported fairly, comprehensively and clearly.
•PROPRIETY (ETHICS):ethical issues of confidentiality and anonymity, as well as
potential harmful effects of being involved in the evaluation must be adequately
addressed.
23. Considerations for quality Impact Evaluation?
•PRACTICALITY: taking into account the available resources (time, money,
expertise and existing data) and when the results are needed to inform
decisions.
•ACCOUNTABILITY: refers to presenting clear evidence and criteria on which
conclusions have been drawn, and acknowledging their limitations.
Transparency about data sources is important.
25. More Information
www.betterevaluation.org
interactive textbook at http://www.worldbank.org/pdt
https://www.cdc.gov/std/Program/pupestd/Types%20of%20Evaluation.pdf
http://www.interaction.org/impact-evaluation-notes.
https://dfat.gov.au/aid/how-we-measure-
performance/ode/Documents/impact-evaluation-discussion-paper.pdf
26.
27. Post-test
1. What is impact evaluation?
2. Is there a need for impact evaluation?
If yes, why? If no, why not?
3. What are the methods for conducting Impact
evaluations?
Editor's Notes
OECD: Organisation for economic cooperation & development: International organisation helping governments tackle the economic, social and governance challenges of a globalised economy.
Independent Measures: Different participants are used in each condition of the independent variable
Repeated Measures: The same participants take part in each condition of the independent variable
Differences between true experiments and quasi-experiments: In a true experiment, participants are randomly assigned to either the treatment or the control group, whereas they are not assigned randomly in a quasi-experiment.