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Thursday, March 01, 2012

Indicator data visualizations: The Guardian Datablog and Data Store

                                                                                          

“Facts are Sacred”, The Guardian Datablog says, and the Guardian challenges us to examine those facts carefully, as its recent story on the "3 Little Pigs" illustrates.


While creative visualizations of  indicator data undoubtedly make it more interesting, without informed explanation of what the information means, the visualizations can often be misleading.  The Guardian Data Store and the Guardian Datablog provide an example of how journalists bring images, indicator data and intelligent analysis together.

 [Edited to update links, June 2018]
Level of Difficulty: Moderate to Complex
Primarily Useful for: Aid agency communications managers, creative programme reporting staff
Most useful: The Development Data directory
Limitations:  The raw data searches work only intermittently, and the Kindle format reduces the utility of the Ebook.

Who this is for

Not everyone will be able to produce the kind of data visualizations presented by the Guardian, but we can all benefit by the examples the news site provides of where to get data, how to present it, and what kind of questions are necessary in determining the reliability and validity of indicator data.

Those who may have the resources to actually produce these kind of visualizations will probably not be working at a project level.  But aid agency communications staff, and some large agencies at the country level, may have the intellectual and financial resources to do what the Guardian data team does.

Background - data visualization

Many development workers, project managers, monitors, evaluators, wading through dense international development project reports and evaluations, may wish that more attention could be paid to making indicator data more understandable.

The late Hans Rosling, for example, is well known for creative presentations on indicators.
These are intended, as the Gapminder Institute  puts it, to “unveil the beauty of statistical time series by converting boring numbers into enjoyable, animated and interactive graphics”.  But doing this at the project and programme level in international development can be challenging.

And as entertaining as animations, graphs or pictures are, by themselves they  can be misleading.  Hans Rosling  does more than provide the graphics, of course. He interprets what the data and the graphics can tell us, in clear, compelling language.

The Gapminder Institute is not alone, however, in presenting – and interpreting - indicator data in a compelling manner.

The Guardian Data Post and Datablog

News websites  reach millions of people a day, and among these the most creative in obtaining and utilizing data in compelling visualizations is by far the The Guardian.  The Guardian newspaper’s online site  with more than 29 million unique visitors in December 2011 alone, is the fifth most visited newspaper, and among the most respected sites on the internet.

The  most interesting part of the Guardian site, (aside from 3 Little Pigs ad) for many of us working in international development is the Guardian Datablog, and the associated Data Store,  its directory of all of the statistics the Guardian uses as it reports the news.  This includes World Government data search, a Development data search, examples of featured data visualizations and a link to an electronic version of Facts are Sacred, a new book by Simon Rogers, one of the Guardian’s news editors, on how The Guardian collects and presents data,. He is also editor of both the Data Store and Datablog.

The Guardian itself, in its main economic, political, health or education pages publishes mainline news stories. What the Datablog does, as far as I can see, is highlight the stories making innovative use of publicly available data, explain where the data come from, and then challenge readers to question it, or do more with the information. In some cases the Guardian Datablog appears to produce its own visualizations from raw data sources, but in most, it seems, the Datablog team provide a link to, or a variation on another agency’s visualization – and then they provide The Guardian’s explanation of what the information means.

Scope of the Guardian’s data


The Manchester Guardian, one of the UK’s oldest newspapers, was founded in 1821 and established its online site almost 175 years later, in 1995. The Guardian Datablog was established in 2009 to explore what editor Simon Rogers refers to as data journalism – journalism which mines available data looking for hidden or emerging stories.

As he points out, data journalism is not new – good journalists have been using obscure data as the basis for breaking news for centuries.

The Datablog, between January 15, 2009, and the time it produced a summary of all of the blog’s comments on data journalism, on July 15, 2011, listed 1,407 articles or blog posts, including links to all of the available underlying data in spreadsheet format.  It is unclear why that information had not been updated since it was posted in 2011,  but by my very rough estimate as I write this in March 2012, there have been approximately 490 - 500 additional posts between August 2011 and February 28, 2012.  This brings the total to approximately 1,900 articles -  all with some form of graphic – tables, charts, static or interactive, simple or complex, and all challenging us to use the underlying data ourselves in whatever way makes sense to us.

This is a mind-boggling number of analyses, given the detail involved - over 10 such articles a week for two and half years – and it does not necessarily represent the true extent of the work The Guardian has done.

As just one example, one story, by The Guardian Data editor about Malaria, referenced in the Datablog on February 3, 2012, for example, was preceded and followed within a week, by at least three other stories on Malaria in the main section of the Guardian  (by the health editor), in the Guardian Weekly, and in the New Review section  of the Guardian’s sister publication the Observer.

Old data - new presentations


Tuesday, January 31, 2012

Online RBM Training -2: The UN's Programme Performance Assessment in Results-Based Management

--Greg Armstrong --


The UN’s Programme Performance Assessment in Results-Based Management, is a jargon-laden, time-consuming and partially out of date production that, whatever its original merits, is too frustrating to be useful today. There are more productive ways to spend your time.

Level of Difficulty: Moderate to Complex
Primarily Useful As: Difficult to say - a history of UN RBM jargon?
Most useful: Section 4-5 on data collection and reporting
Limitations: Out-of-date RBM language,jargon-laden, boring format


Background:

Online RBM training is unlikely to provide the hands-on practice and the opportunities for learning of group processes which are the foundation for effective Results-Based Management training and implementation, but some courses are definitely better than others.

After my December 15, 2011 post describing the University of Wisconsin’s effective interactive online results-based management course, I was asked by one reader for my opinion of other online RBM courses. The University of Wisconsin’s Logic Model course, is, in my opinion, excellent, making the most of interactive opportunities available in the absence of live training.

On the other end of the spectrum, however, is an online course available from the UN Office of Internal Oversight Services–Programme Performance Programme Performance Assessment in Results-based Management.


Google search results - Online Results-Based Management Training
CLICK image to enlarge

If we do a plain word search for "online results based management course" (without the quotes) on Google's .com search we will get, depending on the day, more than 80 million hits, and on page one of this search – at least as of January 31, 2012, the first and third results shown are for this specific UN RBM course.


Those search results may vary slightly given country-specific versions of the search engines, but  Microsoft's Bing and Yahoo search return several million results on this topic too, again with this UN RBM course ranking very high in the search results.


The highest ranked result --with a 2011 date-- is UNESCO’s Open Training Portal, and if we click on the UNESCO link, it takes us to what appears to be the home of the course, the UN’s Office of Internal Oversight Services, which is number 3 on the search list.  The course also appears as a link in some other UN documents.


So - how does this highly-ranked course stand up to scrutiny?



A disappointing use of the web

Thursday, December 15, 2011

Online Results-Based Management Training: The University of Wisconsin's Logic Model development course

Last Update:  March 7, 2023

The University of Wisconsin’s excellent online interactive Logic Model training is a valuable, easy to use introduction to RBM – and it is free.


Level of Difficulty:  Easy to moderate
Primarily Useful as: An introduction to RBM and Logic Models
Length: 3-5 hours online, 216 page downloadable PDF, and an 86-page teaching and training guide
Limitations:  No longer audio, but individual components are available for download

Who this is for

Like other consultants and trainers who work on international development issues, I usually work with groups, either donor or implementing agencies, training 10-200 people on RBM.  This reduces the cost (to them) of the training time, travel and other expenses.  But readers of this site or the RBM Training website sometimes ask if I can provide training on results based management  for individuals.  This would, however, be so expensive  that it would not be practical.  Other options such as enrolling in university courses in Europe or Canada might work, but often require more time, and again, more money, than an individual might be prepared  to invest.

But there is online, an excellent resource available to introduce RBM to anyone  who has no experience with RBM – or,  for that matter, to refresh even the most jaded RBM practitioner’s interest. This is the University of Wisconsin Extension Department’s Enhancing Program Performance with Logic Models.  Developed in 2002, originally put online in 2003, and revised in 2022 there is very little in this easy to use and interactive course, that is not still relevant today, in 2023 to those who are trying to understand how to use results-based management.

This course is one of 11 offered free by the Program Planning and Evaluation Division of the University of Wisconsin's Extension Department.

List of 11 course on program planning and evaluation
Program Planning and Evaluation courses offered by the Program Planning and Evaluation Division,
University of Wisconsin Extension Department


Format: Interactive Online learning and a number of downloadable components


When I first saw this course in 2011 it had both an interactive online format, and for those who did not want to, or could not use the internet for the 2-5 hours completion of the course takes, a PDF version of the course.  The real charm of this course, however, is that it is interactive, and it is the engaging nature of the interaction that cannot be replicated in the downloadable PDF.  The downloadable PDF version is still available, and the course itself has a number of useful additions including the boring sounding but very useful Document List, which has a 16 different downloadable documents including very practical worksheets and background information on social science issues. 

List of 16 documents for download in the Logic Model course
Downloadable components of the University of Wisconsin Online Logic Model Course




Presentations, in the course’s 7 sections, both audio and text, are supplemented with pop-up windows which participants can view, if they want additional examples or references,  followed with exercises and then feedback on the answers.

Logic Model explanation
University of Wisconsin Extension Online Logic Model Training



It should not be surprising that the interactive elements are as engaging as I found them to be, because this site was developed by a team of content and technical experts,at the Extension Department of the University of Wisconsin  – and extension departments are almost always the group in any university the most skilled in tailoring learning events to learners’ needs and learning styles.

Each of the course’s 7 sections contains tthe following elements

  • Section Overview
  • Section Goals
  • Section Outline with clickable links to the components of the section
  • Content presentation 
  • Activities that require us to put into practice the theory on the preceding pages.
Some of the sections also contain a section on the research or public administration background to the topic, and a bibliography.

Here is what the Section Outline typically looks like, using Section which focuses on defining Outcomes: 

Example of an Outline for one component of the Logic Model Course, with 18 clickable topics
18 Clickable Topics in Section 2 on Defining Outcomes





Course Contents: Reinforcing important lessons about RBM



The course title is Enhancing Program Performance with Logic Models, but it deals with all of the associated elements of results-based management, not just the Logic Model.  Nothing in it will be a major surprise to people who work regularly with RBM, but the what this course teaches users about results-based management is worth repeating, simply because these lessons are often neglected or ignored, by even the most experienced users of RBM.

The course has 7 content sections, each of which generally takes between 20-40 minutes to complete.


What is a Logic Model?


Section 1 discusses the difference between Outputs and Outcomes, the need to test assumptions, and identify risk.  This section covers 20 screens in the course, and runs from pages 7-58 in the downloadable PDF. The difference is that in the PDF, transcripts of the audio from the online course, and a number of worksheets, are included as text.

This introduction to Logic Models includes, among much else, an interesting interactive Logic Model puzzle, requiring us to test our understanding of sequence, timing, risk and results, placing 20 different statement about a programme into one of 8 categories such as resources, activities, participants, Outputs, Outcomes, assumptions and external factors (or risk).

University of Wisconsin Logic Model course - interactive puzzle
Copyright: 2002, Board of Regents, University of Wisconsin
CLICK image to enlarge


This is not dissimilar to what you can do in a group with paper and scissors, but nevertheless engaging if you are working alone, and trying to ensure you understand the ideas of sequence, scale, change and other factors.


More about Outcomes



Section 2 takes us in detail through the different types of legitimate results that we can see in at individual, group, agency, system, or community levels, and talks about why participation of stakeholders in defining Outcomes is important.

This section includes material about RBM that more than one of the UN development agencies could usefully review.  Some of these agencies – not all, but some important UN agencies - get hung up on completing activities, (Outputs) and never seem to move on, in practice, to assessing whether these lead to any real change, or result (Outcomes).

Section two uses19 screens in the online course, and 32 pages in the PDF, with all of the associated supplementary material which is found in the pop-ups and links, in the online course.


More About Program Logic


Section 3  introduces (or reintroduces to forgetful RBM cognoscenti) the concept of clarifying the logic and assumptions implied in designing activities with the intention of contributing to a result.  It covers theories of change, the complexity of real-life programme logic, results chains – what it calls Outcome Chains -  and whether it is reasonable to claim causality – part of the current discussion on attribution of results to programme or project interventions.

It is important to note here, for those sometimes justifiably cynical about RBM who focus on complexity, that this course itself makes the point that multiple, often unplanned or unforeseen factors can affect results, not just the programme interventions. It also discusses the idea that a simple, linear logic model may not reveal enough of the factors involved in achieving results, and why more complex logic models may be needed to underpin the simple ones that we are often forced to submit to funding agencies.  

Another interactive exercise here, helps us to think through the theory of action behind a programme intervention, and despite the fact that this section has only 9 screens in the online course, and 24 pages in the PDF, the complexity of the interactive exercise on page 7 means it can take well 30 or 40 minutes to finish this section.


University of Wisconsin online Logic Model course, interactive exercise testing theories of action
Copyright: 2002, Board of Regents, University of Wisconsin
CLICK image to enlarge



This exercise is also an example of why, if you can, it is more productive in terms of learning to go to the online course first, before using the PDF, because with the PDF material there is essentially no chance to test your own understanding of the processes, before you see the “answer”.


What does a Logic Model Look Like?



Section 4 discusses why logic models, depending on the situation, purpose and culture involved,  can take many different forms.  There is no single format for Logic Models that suits all needs when the intellectual process of testing theories of change is involved – even though there may be, for any given donor, only one format they want to see.  There are, as the course points out, situations where Logic Models may differ in size and complexity, depending on whether they are being used to test ideas for programme planning, evaluation,  communication or for programme and project managers, the core of implementation activities.

Once again, note to complexity theorists, the course makes the point that logic models need not be simplistic, linear creations, but can be useful in helping agencies and individuals understand the complexity of the systems involved in interventions.
Examples of different formats for Logic Models
Logic Model formats - click to enlarge

This section takes 8 screens in the online course and there are several downloadable examples and worksheets.


How do I draw a Logic Model?



Section 5 is perhaps the most important of the course because it focuses on the real need to develop logic models as a group, not as an individual.

“As you work through this section, you will appreciate that the best way to construct a logic model is with others. While it may be quicker and easier to work alone, try not to. Many people believe that the real value of logic modeling is the PROCESS of creating one and the understanding and consensus that you build about a program as a result.”[Section 5, screen 1, PDF: p. 127]

I can only say I agree completely. In the Results Based Management training sessions I do with donor agencies, implementing organizations and national partners, feedback suggests that 80-90% of participants were absorbed by the Logic Model development process, sometimes surprised at how often the discussions reveal previously unknown or unacknowledged differences in perception among close colleagues, about what the original problem is, what risks and assumptions they have, and what reasonable results could look like.

5 different approaches to Logic Model development


All of the approaches focus on Logic Model development  a group.  The first four approaches are intended for planning new programmes.  These can be found at the online course, by clicking on the links at the bottom of the screen on creating a logic model for a new programme or on page 136 of the PDF.  All of these approaches begin with the result, and move back to activities and necessary resources.

  1. Start with the Long-term result or Outcome, and move back through mid-term or intermediate results, to short-term results, then to the Outputs needed to achieve these, then back again to activities and finally to inputs.
  2. Start with the long-term desired result, but then move immediately to activities, which is often the primary interest of participants, and then testing whether these will in fact, contribute to short of mid-term results which can logically relate to the long-term result.
  3. Start with the Long-term result, then brainstorm all of the elements that will affect this – activities, short, mid-term results, participants, risks, then sort them out to see if participants agree on the relationships and sequence.
  4. Juxtapose the situation or problem with a long-term desired change or Outcome then move  back through mid-term and short term results necessary to get there, and finally to participants, activities and resources required. This looks similar to the first option, but in fact really does, in practice in groups force those with preconceptions about what the activities should be, to confront the problem clearly, to look for results and then decide what activities and resources are needed.
  5. A fifth approach is also listed separately, on the next screen of the course, and this is for a situation where it is necessary to start logic model development with existing resources and existing activities. 
I have seen this happen where there is a second phase to a project, or where there is just too much institutional inertia to reconceptualize how to approach a problem.  It is essentially an approach focusing, as I see it, on a search for results to justify what is already being done – or as the this course suggests, where an “off the shelf” programme already exists:  Ask about an existing programme why each activity exists, what possible changes it can lead to, and how this can relate to a newly identified problem.
This approach is sometimes necessary, in my experience,  when working on RBM with universities, where activities such as degree course work and research are accepted as the core of university activities, and therefore the starting point for interventions.  It can also be necessary with some government agencies which  also sometimes see every problem through the paradigm of their own mandate and existing expertise.  
Moving such institutions towards a genuine questioning of what is really likely to achieve results is sometimes quite difficult.

How Good is my Logic Model?


Section 6 reviews some of the pitfalls individuals or RBM workshop facilitators may encounter in the development of Logic Models, including:

  • Getting lost in the RBM terminology,
  • Focusing too much on the mechanical aspects of putting activities and results in boxes, without assessing the plausibility of the connections between activities and results,
  • Focusing on – or complaining about – linearity, rather than exploring the complexities that some Logic Model formats can reveal,
  • Confusing the development of a Logic Model with evaluation, (for which it can indeed be a useful tool, but to which its utility is not limited)
  • Perceiving the Logic Model as a panacea for programme or project design or implementation problems, rather than as a tool to help us find possible solutions to such problems,
  • Focusing on production of the paper product, but never using it in practice.

It also makes the point that different people and agencies can use – or require the use of – Logic Models, for different purposes, and that we need to be clear about what this purpose is when we determine in how much detail we will work on Logic Model development.

This section spans 10 screens in the online programme, and 16 pages in the PDF version.


Using Logic Models in Evaluation  - Indicators and Measures


Section 7 reviews how understanding the original problem, assumptions, risk and the intended logic of the results chain can help agencies determine what evaluation questions to ask during different types of evaluations – questions about, and indicators relevant to:

  • The quality of inputs and completed activities (Outputs),
  • Who is participating, and what is the reach of the activities,
  • Assumptions underlying programme design, and selection of activities,
  • Whether results are actually achieved, and to what extent they can be reasonably attributed to the intervention, and
  • External factors –including what many agencies refer to as risk - on the achievement of results, or the failure to achieve results.

    Examination of a Logic Model and how it is formed can provide the foundation for

    • Needs assessments (assessing the original problem, and what can be done about it),
    • Process evaluations (assessment of inputs and the quality of activities)
    • Outcome and Impact evaluations (whether changes occurred and to what extent programme or project activities, and also external factors, may have contributed to such change).

    Section 7 is the longest of the course, with 20 online screens and 49 pages in the downloadable PDF.  The indicator discussions run from screens 9-20 in section 7, and pages 178-205 in the PDF.


    Glossaries and references on logic model development, RBM and evaluation



    The course, formally ends with section 7, but it is worth taking a look at other resources included:

    • The bibliography of references related to results based management and evaluation can also be reached by clicking on “resources” at the top of each screen or on pages 212-216 of the PDF.  The bibliography includes 72 references, 8 of which have clickable links that still appear to be functional.  Most of the 72  articles or references were written between 1994-2003, but it is worthwhile in particular visiting the Centers for Disease Control evaluation resources page which has a lot of very useful, accessible, and in some cases more current, guides on evaluation, logic models and data collection. The link in the bibliography is not current, but the page will automatically redirect to the new location, which I have provided in the previous sentence.

    • 11 additional links on evaluation issues such as questionnaire design, surveys, focus groups, quasi-experimental design and other issues can be found throughout section 7 online, or on page 199 of the PDF.

    • Finally, the course also provides links to 15 downloadable logic model worksheets or hints, in PDF and sometimes Microsoft Word format, also under “resources” at the top of each page.  These can also be found scattered throughout the PDF document.


    Limitation

    Because this course was developed in 2002 and redeveloped in 2022, most people will have computers capable of making use of the interactive elements of the site – but there is one potential limitation to this with some of the potential users in Africa, Asia or Latin America.   A reliable internet connection is needed to use the site, and in many of the places I, and my colleagues have work such connections can be, at times, unreliable.  You might, for example, have a half hour of access to read things like this blog, but it would be frustrating to be interrupted in the middle of this online course.
    Alternative provided: Users can download the 216 PDF version of the course, which includes the text of the whole course. 

     For those who are interested in training of trainers on RBM, the the Teaching and Training Guide is also useful, providing templates, schedules and outlines for activities.




    The bottom line:  This is an excellent introduction to results based management, focusing on logic model development, and its design is a credit to its authors' adult education abilities. It does not pretend to replace group workshops but it provides an intelligent, practical, and easy to use walk-through of the main issues in RBM.   

    _____________________________________________________________








    GREG ARMSTRONG
    Greg Armstrong is a Results-Based Management specialist who focuses on the use of clear language in RBM training, and in the creation of usable planning, monitoring and reporting frameworks.  For links to more Results-Based Management Handbooks and Guides, go to the RBM Training website



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