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Program evaluation

Collecting, analyzing, and using information to assess projects

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Through Effectiveness, Efficiency and Public sector

In the public, private, and voluntary sector, stakeholders might be required to assess—under law or charter—or want to know whether the programs they are funding, implementing, voting for, receiving or opposing are producing the promised effect. To some degree, program evaluation falls under traditional cost–benefit analysis, concerning fair returns on the outlay of economic and other assets; however, social outcomes can be more complex to assess than market outcomes, and a different skillset is required. Considerations include how much the program costs per participant, program impact, how the program could be improved, whether there are better alternatives, if there are unforeseen consequences, and whether the program goals are appropriate and useful. Evaluators help to answer these questions. Best practice is for the evaluation to be a joint project between evaluators and stakeholders.

A wide range of different titles are applied to program evaluators, perhaps haphazardly at times, but there are some established usages: those who regularly use program evaluation skills and techniques on the job are known as program analysts; those whose positions combine administrative assistant or secretary duties with program evaluation are known as program assistants, program clerks (United Kingdom), program support specialists, or program associates; those whose positions add lower-level project management duties are known as Program Coordinators.

The process of evaluation is considered to be a relatively recent phenomenon. However, planned social evaluation has been documented as dating as far back as 2200 BC. Evaluation became particularly relevant in the United States in the 1960s during the period of the Great Society social programs associated with the Kennedy and Johnson administrations.

Program evaluations can involve both quantitative and qualitative methods of social research. People who do program evaluation come from many different backgrounds, such as sociology, psychology, economics, social work, as well as political science subfields such as public policy and public administration who have studied a similar methodology known as policy analysis. Some universities also have specific training programs, especially at the postgraduate level in program evaluation, for those who studied an undergraduate subject area lacking in program evaluation skills.

Conducting an evaluation

Program evaluation may be conducted at several stages during a program's lifetime. Each of these stages raises different questions to be answered by the evaluator, and correspondingly different evaluation approaches are needed. Rossi, Lipsey and Freeman (2004) suggest the following kinds of assessment, which may be appropriate at these different stages:

  • Assessment of the need for the program
  • Assessment of program design and logic/theory
  • Assessment of how the program is being implemented (i.e., is it being implemented according to plan? Are the program's processes maximizing possible outcomes?)
  • Assessment of the program's outcome or impact (i.e., what it has actually achieved)
  • Assessment of the program's cost and efficiency

Assessing needs

A needs assessment examines the population that the program intends to target, to see whether the need as conceptualized in the program actually exists in the population; whether it is, in fact, a problem; and if so, how it might best be dealt with. This includes identifying and diagnosing the actual problem the program is trying to address, who or what is affected by the problem, how widespread the problem is, and what are the measurable effects that are caused by the problem. For example, for a housing program aimed at mitigating homelessness, a program evaluator may want to find out how many people are homeless in a given geographic area and what their demographics are. Rossi, Lipsey and Freeman (2004) caution against undertaking an intervention without properly assessing the need for one, because this might result in a great deal of wasted funds if the need did not exist or was misconceived.

Needs assessment involves the processes or methods used by evaluators to describe and diagnose social needs This is essential for evaluators because they need to identify whether programs are effective and they cannot do this unless they have identified what the problem/need is. Programs that do not do a needs assessment can have the illusion that they have eradicated the problem/need when in fact there was no need in the first place. Needs assessment involves research and regular consultation with community stakeholders and with the people that will benefit from the project before the program can be developed and implemented. Hence it should be a bottom-up approach. In this way potential problems can be realized early because the process would have involved the community in identifying the need and thereby allowed the opportunity to identify potential barriers.

The important task of a program evaluator is thus to: First, construct a precise definition of what the problem is. Evaluators need to first identify the problem/need. This is most effectively done by collaboratively including all possible stakeholders, i.e., the community impacted by the potential problem, the agents/actors working to address and resolve the problem, funders, etc. Including buy-in early on in the process reduces potential for push-back, miscommunication, and incomplete information later on.

Second, assess the extent of the problem. Having clearly identified what the problem is, evaluators need to then assess the extent of the problem. They need to answer the ‘where’ and ‘how big’ questions. Evaluators need to work out where the problem is located and how big it is. Pointing out that a problem exists is much easier than having to specify where it is located and how rife it is. Rossi, Lipsey & Freeman (2004) gave an example that: a person identifying some battered children may be enough evidence to persuade one that child abuse exists. But indicating how many children it affects and where it is located geographically and socially would require knowledge about abused children, the characteristics of perpetrators and the impact of the problem throughout the political authority in question.

This can be difficult considering that child abuse is not a public behavior, also keeping in mind that estimates of the rates on private behavior are usually not possible because of factors like unreported cases. In this case evaluators would have to use data from several sources and apply different approaches in order to estimate incidence rates. There are two more questions that need to be answered: Evaluators need to also answer the ’how’ and ‘what’ questions The ‘how’ question requires that evaluators determine how the need will be addressed. Having identified the need and having familiarized oneself with the community evaluators should conduct a performance analysis to identify whether the proposed plan in the program will actually be able to eliminate the need. The ‘what’ question requires that evaluators conduct a task analysis to find out what the best way to perform would be. For example, whether the job performance standards are set by an organization or whether some governmental rules need to be considered when undertaking the task.

Third, define and identify the target of interventions and accurately describe the nature of the service needs of that population It is important to know what/who the target population is/are – it might be individuals, groups, communities, etc. There are three units of the population: population at risk, population in need and population in demand

  • Population at risk: are people with a significant probability of developing the risk e.g. the population at risk for birth control programs are women of child-bearing age.
  • Population in need: are people with the condition that the program seeks to address; e.g. the population in need for a program that aims to provide ARV's to HIV positive people are people that are HIV positive.
  • Population in demand: that part of the population in need that agrees to be having the need and are willing to take part in what the program has to offer e.g. not all HIV positive people will be willing to take ARV's.

Being able to specify what/who the target is will assist in establishing appropriate boundaries, so that interventions can correctly address the target population and be feasible to apply

There are four steps in conducting a needs assessment:

  1. Perform a ‘gap’ analyses
    Evaluators need to compare current situation to the desired or necessary situation. The difference or the gap between the two situations will help identify the need, purpose and aims of the program.
  2. Identify priorities and importance
    In the first step above, evaluators would have identified a number of interventions that could potentially address the need e.g. training and development, organization development etc. These must now be examined in view of their significance to the program's goals and constraints. This must be done by considering the following factors: cost effectiveness (consider the budget of the program, assess cost/benefit ratio), executive pressure (whether top management expects a solution) and population (whether many key people are involved).
  3. Identify causes of performance problems and/or opportunities
    When the needs have been prioritized the next step is to identify specific problem areas within the need to be addressed. And to also assess the skills of the people that will be carrying out the interventions.
  4. Identify possible solutions and growth opportunities
    Compare the consequences of the interventions if it was to be implemented or not.

Needs analysis is hence a very crucial step in evaluating programs because the effectiveness of a program cannot be assessed unless we know what the problem was in the first place.

Assessing program theory

The program theory, also called a logic model, knowledge map, or impact pathway, is an assumption, implicit in the way the program is designed, about how the program's actions are supposed to achieve the outcomes it intends. This 'logic model' is often not stated explicitly by people who run programs, it is simply assumed, and so an evaluator will need to draw out from the program staff how exactly the program is supposed to achieve its aims and assess whether this logic is plausible. For example, in an HIV prevention program, it may be assumed that educating people about HIV/AIDS transmission, risk and safe sex practices will result in safer sex being practiced. However, research in South Africa increasingly shows that in spite of increased education and knowledge, people still often do not practice safe sex. Therefore, the logic of a program which relies on education as a means to get people to use condoms may be faulty. This is why it is important to read research that has been done in the area. Explicating this logic can also reveal unintended or unforeseen consequences of a program, both positive and negative. The program theory drives the hypotheses to test for impact evaluation. Developing a logic model can also build common understanding amongst program staff and stakeholders about what the program is actually supposed to do and how it is supposed to do it, which is often lacking (see Participatory impact pathways analysis). Of course, it is also possible that during the process of trying to elicit the logic model behind a program the evaluators may discover that such a model is either incompletely developed, internally contradictory, or (in worst cases) essentially nonexistent. This decidedly limits the effectiveness of the evaluation, although it does not necessarily reduce or eliminate the program.

Creating a logic model is a way to help visualize important aspects of programs, especially when preparing for an evaluation. An evaluator can create a logic model with input from many different stake holders. Logic Models have five major components: Resources or Inputs, Activities, Outputs, Short-term outcomes, and Long-term outcomes Creating a logic model helps articulate the problem, the resources and capacity that are currently being used to address the problem, and the measurable outcomes from the program. Looking at the different components of a program in relation to the overall short-term and long-term goals can reveal potential misalignments. Creating an actual logic model is particularly important because it helps clarify for all stakeholders: the definition of the problem, the overarching goals, and the capacity and outputs of the program.

Rossi, Lipsey & Freeman (2004) suggest four approaches and procedures that can be used to assess the program theory. These approaches are discussed below.

  • Assessment in relation to social needs

This entails assessing the program theory by relating it to the needs of the target population the program is intended to serve. If the program theory fails to address the needs of the target population it will be rendered ineffective even when if it is well implemented.

  • Assessment of logic and plausibility

This form of assessment involves asking a panel of expert reviewers to critically review the logic and plausibility of the assumptions and expectations inherent in the program's design. The review process is unstructured and open ended so as to address certain issues on the program design. Rutman (1980), Smith (1989), and Wholly (1994) suggested the questions listed below to assist with the review process.

Are the program goals and objectives well defined?
Are the program goals and objectives feasible?
Is the change process presumed in the program theory feasible?
Are the procedures for identifying members of the target population, delivering service to them, and sustaining that service through completion well defined and sufficient?
Are the constituent components, activities, and functions of the program well defined and sufficient?
Are the resources allocated to the program and its various activities adequate?
  • Assessment through comparison with research and practice

This form of assessment requires gaining information from research literature and existing practices to assess various components of the program theory. The evaluator can assess whether the program theory is congruent with research evidence and practical experiences of programs with similar concepts.

  • Assessment via preliminary observation

This approach involves incorporating firsthand observations into the assessment process as it provides a reality check on the concordance between the program theory and the program itself. The observations can focus on the attainability of the outcomes, circumstances of the target population, and the plausibility of the program activities and the supporting resources.

These different forms of assessment of program theory can be conducted to ensure that the program theory is sound.

Wright and Wallis (2019) described an additional technique for assessing a program theory based on the theory's structure. This approach, known as integrative propositional analysis (IPA), is based on research streams finding that theories were more likely to work as expected when they had better structure (in addition meaning and data). IPA involves, first, identifying the propositions (statements of cause-and-effect) and creating a visual diagram of those propositions. Then, the researcher examines the number of concepts and causal relationships between them (circles and arrows on the diagram) to measure the breadth and depth of understanding reflected in the theory's structure. The measure for breadth is the number of concepts. This is based on the idea that real-world programs involve a lot of interconnected parts, therefore a theory that shows a larger number of concepts shows greater breadth of understanding of the program. The depth is the percentage of concepts that are the result of more than one other concept. This is based on the idea that, in real-world programs, things have more than one cause. Hence, a concept that is the result of more than one other concept in the theory shows better understanding of that concept; a theory with a higher percentage of better-understood concepts shows a greater depth of understanding of the program.

Assessing implementation

Process analysis looks beyond the theory of what the program is supposed to do and instead evaluates how the program is being implemented. This evaluation determines whether the components identified as critical to the success of the program are being implemented. The evaluation determines whether target populations are being reached, people are receiving the intended services, staff are adequately qualified. Process evaluation is an ongoing process in which repeated measures may be used to evaluate whether the program is being implemented effectively. This problem is particularly critical because many innovations, particularly in areas like education and public policy, consist of fairly complex chains of action. For example, process evaluation can be used in public health research. Many of which these elements rely on the prior correct implementation of other elements, and will fail if the prior implementation was not done correctly. This was conclusively demonstrated by Gene V. Glass and many others during the 1980s. Since incorrect or ineffective implementation will produce the same kind of neutral or negative results that would be produced by correct implementation of a poor innovation, it is essential that evaluation research assess the implementation process itself. Otherwise, a good innovative idea may be mistakenly characterized as ineffective, where in fact it simply had never been implemented as designed.

Assessing the impact (effectiveness)

The impact evaluation determines the causal effects of the program. This involves trying to measure if the program has achieved its intended outcomes, i.e. program outcomes.

Program outcomes

An outcome is the state of the target population or the social conditions that a program is expected to have changed. Program outcomes are the observed characteristics of the target population or social conditions, not of the program. Thus the concept of an outcome does not necessarily mean that the program targets have actually changed or that the program has caused them to change in any way.

There are two kinds of outcomes, namely outcome level and outcome change, also associated with program effect.

  • Outcome level refers to the status of an outcome at some point in time.
  • Outcome change refers to the difference between outcome levels at different points in time.
  • Program effect refers to that portion of an outcome change that can be attributed uniquely to a program as opposed to the influence of some other factor.

Measuring program outcomes

Outcome measurement is a matter of representing the circumstances defined as the outcome by means of observable indicators that vary systematically with changes or differences in those circumstances. Outcome measurement is a systematic way to assess the extent to which a program has achieved its intended outcomes. According to Mouton (2009) measuring the impact of a program means demonstrating or estimating the accumulated differentiated proximate and emergent effect, some of which might be unintended and therefore unforeseen.

Outcome measurement serves to help understand whether the program is effective or not. It further helps to clarify understanding of a program. But the most important reason for undertaking the effort is to understand the impacts of the work on the people being served. With the information collected, it can be determined which activities to continue and build upon, and which need to be changed in order to improve the effectiveness of the program.

This can involve using sophisticated statistical techniques in order to measure the effect of the program and to find causal relationship between the program and the various outcomes.

Assessing efficiency

Finally, cost-benefit or cost-efficiency analysis assesses the efficiency of a program. Evaluators outline the benefits and cost of the program for comparison. An efficient program has a lower cost-benefit ratio. There are two types of efficiency, namely, static and dynamic. While static efficiency concerns achieving the objectives with least costs, dynamic efficiency concerns continuous improvement.

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