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Outcome Evaluation: Outcome Evaluation: Logic Models, Logic Models, Evaluation Frameworks, Evaluation Frameworks, & Measuring Indicators & Measuring Indicators Session #2/3

Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

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Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators. Session #2/3. What to Expect from this Series. . Learn about steps required to implement outcome evaluation Design a program logic model Identify appropriate evaluation/measurement tools - PowerPoint PPT Presentation

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Page 1: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Outcome Evaluation:Outcome Evaluation:Logic Models,Logic Models,

Evaluation Frameworks,Evaluation Frameworks,& Measuring Indicators& Measuring Indicators

Session #2/3

Page 2: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

What to Expect from this SeriesWhat to Expect from this Series

1. Learn about steps required to implement outcome evaluation

2. Design a program logic model

3. Identify appropriate evaluation/measurement tools

4. Develop an implementation plan

Page 3: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

EMAIL??

A note about theA note about thenature of evaluation…nature of evaluation…

Name Affiliation Position

Name Affiliation Position Email

Page 4: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Purpose of Today’s SessionPurpose of Today’s Session

• To complete individualized workable program logic model for program of your choice

• To begin designing individualized evaluation plans based on your logic model

• To begin identifying indicators and potential evaluation measurement tools

Page 5: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Today’s agendaToday’s agenda• Answering questions and refining logic

models • Break• Analyzing logic models and identifying

priority evaluation questions• Lunch• Explaining indicators and measurement• Beginning to draft indicators for your

programs• Trying to wrap up by 3 so that we can

save time for other questions or one-on-one discussions at the end of the day.

Page 6: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Logic ModelsLogic ModelsResponding to the Online ExerciseResponding to the Online Exercise

• Great start!

• Varying stages

• Tips

What did YOU think of the online exercise?

Page 7: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Logic ModelsLogic ModelsReactions to your efforts thus farReactions to your efforts thus far

Page 8: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Challenges and IssuesChallenges and Issues

• Balancing the logic of program development and promotion with the logic of the program itself

• Finding the right balance for short-term and long-term outcomes

• Differentiating program process objectives from outcome objectives

• Finding outcomes for individualized programs or programs for people in crisis

Page 9: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Balancing the logic of program Balancing the logic of program development and promotion with development and promotion with

the logic of the program itselfthe logic of the program itself

Sample Activities Suggested Edits

• Promote the program to partners

• Provide support and information about the Canadian system to clients

• Secure safe and accessible community based locations

• Determine appropriate community volunteer leader to oversee each program location.

• Divide the logic of program design and implementation from the logic of the program itself

Page 10: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Finding the right balance for short-Finding the right balance for short-term and long-term outcomesterm and long-term outcomes

• Try to follow the “logical chain” from top to bottom and look for big logical leaps. Try to identify the unstated assumptions that underlay these leaps.

• Look for outcomes that are largely within your control.

Page 11: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Finding the right balance for short-Finding the right balance for short-term and long-term outcomesterm and long-term outcomes

Home visits

increased recreation and leisure

opportunities

increased opportunity for participation in

community

decreased feelings of depression

increased acceptance & understanding of

accessibility needs of [vulnerable population]

? ?

Families experiences are affirmed and

normalized

Families have increased knowledge

of local recreation opportunities

Page 12: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Dealing with programs that have Dealing with programs that have individualized activities and individualized activities and

outcomesoutcomes

Sample Activities Suggested Edits

• Resident care • Provide short term

counselling

• Provide settlement and adaptation support to participants

• break down into more concrete elements

• Describe in a more behavioural way

Page 13: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

How do we identify outcomes when How do we identify outcomes when services are services are highly individualizedhighly individualized? ?

• Look for more immediate short term outcomes that may be common to more clients

• Try to categorize the most typical activities and outcomes into broad groups …even the most individualized services tend to have a cluster of typical activities

• Choose to emphasize those outcomes that will appeal to key audiences

Page 14: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Develop and support clients’ individual rehab

plans

Clients maintain or improve their level of

function

Clients become aware of +/or are connected to community resources

Clients gain insight to healthier

lifestyles/choices

Provide clinical support and interventions

Assess and develop life skills

Client becomes a more productive, independent

member within their community

Clients are able to find +/or maintain

accommodation of their choice

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Clients have improved informal

supports

Reduce the # of hospitalizations or

shorten lengths of stay

Clients have improved informal

supports

Clients have longer community tenure

Act

iviti

es

Example of a well-done logic model for a program with individualized outcomes

Page 15: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

This example works well because…This example works well because…

• The outcome objectives are diverse, so they explain the full impact of the program.

• The short-term outcome objectives are clear, concrete, achievable and measurable.

• The links are differentiated well (i.e., every activity doesn’t link to every outcome).

• Certain short-term outcomes emerge as pivotal to the overall logic.

Page 16: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

How do we identify outcomes when How do we identify outcomes when services are services are crisis response-orientedcrisis response-oriented? ?

• Think “Harm Reduction” or “Secondary Prevention”: Identify the ways in which your intervention reduces negative consequences of crises, or reduces risk of further crisis

• Think of the “next steps” your clients can take once stabilized as outcomes

• Think of very, very short-term outcomes like, “client feels a sense of dignity”

Page 17: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Weekly self help group for women

Women are able to evaluate relationship with partner and

make decisions about the relationship

Women develop friendships in the

group

Women feel less fragile and are not dealing with daily

crises

Family members reconstruct a support system and maintain

family unity

Women feel supported in the decisions they

make

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Women support each other outside of the

group

Women articulate expectations of their

partners

Women access resources

Partner is involved as part of family decision making

Act

iviti

es

Example of a well-done logic model for a crisis oriented program

Page 18: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

This example works well because…This example works well because…

• The short-term outcomes don’t imply dramatic change in the lives of participants, which is appropriate for a program dealing with women in near crisis situations.

• Even the long-term outcomes are fairly modest and achievable (which is good for the same reason).

• The model makes a strong case for having an impact on one aspect of a complex social issue

Page 19: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Other Questions?Other Questions?

Page 20: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Time to work a bit more Time to work a bit more on polishing logic on polishing logic

modelsmodels

Page 21: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

MORNING BREAKMORNING BREAK

Page 22: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Feeding BackFeeding Back

• What insights are starting to emerge from your model?

Page 23: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Review of Logic Models: Review of Logic Models: Prioritizing ObjectivesPrioritizing Objectives

for Measurementfor Measurement

Discussion Exercise

Page 24: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

The importance of the arrows in The importance of the arrows in a logic modela logic model

• The arrows in a model are like your hypotheses. They express your ideas about the cause-and-effect linkages within your program.

• Most arrows are based on certain assumptions .. Some are conscious, others are probably not so conscious.

Page 25: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Analyzing your Logic ModelAnalyzing your Logic Model

• If you follow each logical pathway through from activities through short-term outcomes to long-term outcomes, does the logic “hang together” or does it feel like there are unstated assumptions?

• Where might data gathering help you to check these assumptions? (make a note)

Page 26: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Analyzing your Logic ModelAnalyzing your Logic Model

• Are there any activities that don’t seem to link to any identified outcomes, or vice versa?

• Which logical links do you feel sure are actually occurring in your program? Which ones are you less sure about?

• Make a note about those links that you feel you could document better.

Page 27: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Analyzing your Logic ModelAnalyzing your Logic Model

• Which outcomes seem “pivotal” in your model? Which ones are absolutely key to overall success?

• Which ones do outsiders least understand or appreciate?

• What are the issues or questions that your key stakeholders are going to see as most important?

• Make a note

Page 28: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Analyzing your Logic ModelAnalyzing your Logic Model

• Where does your logic model “link up” with the overall priorities of your board, your clients, your funders?

Page 29: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Translating key Translating key issues or unknowns issues or unknowns or assumptions into or assumptions into research questionsresearch questions

Page 30: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Clarifying the levels of questionsClarifying the levels of questionsTo determine how

effective our program is at

helping people find meaningful jobs

How many of our clients find jobs?

How satisfied are clients with their

jobs?

What parts of our program seem to help the most?

For clients: “How much do you enjoy

your job?”

For staff: “How satisfied does your

client seem?”

Evaluation Purpose

Actual Interview or Survey Items

Evaluation Questions

Page 31: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Definitions - Outcome Measurement

questions -• the questions we need to ask to assess the attainment of each

outcome objective

• the most central question is most often a rewording of the outcome objective

• Other evaluation questions may ask about how the program/activity was implemented, problems encountered, lessons learned, changes made in program implementation, or costs associated with achieving the outcome objective

Page 32: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Types of Evaluation QuestionsTypes of Evaluation Questions

Needs Assessment Questions (What are local needs? local strengths? What are some good ideas for trying to help?)

Process Questions (Was program implemented as planned? What’s working? What has been learned?)

Satisfaction Questions (Are stakeholders pleased?)

Outcome Measurement Questions (Have we made a measurable difference?)

Economic Analysis Questions (Are the outcomes worth it?)

Page 33: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Exercise: Comparing Exercise: Comparing QuestionsQuestions

How effective is our program in fostering independence, increasing consumer control, and improving nutrition?

What are our strengths and weaknesses?

Is our program community based?

Does our program improve quality of life?

What would our stakeholders like us to change, and what should we keep the same?

How successful have we been in involving participants at all levels of the project?

Page 34: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

A Framework for Outcome MeasurementA Framework for Outcome Measurement

Evaluation Design Planning Chart

Objective Research Questions Indicators Where will we get the information?

What data collection tools will we use?

Data Analysis

Outcome objective from logic model

May refer to success in meeting objectives (from your logic model) or other questions stakeholders feel the evaluation should address.

Things you can you observe that will help you to answer this question.

Who will you speak to? How would you access existing information?

Given what is written in columns to the left, what method or methods are most efficient and effective?

How are you going to make sense of the data you collect?

Increased feelings of social support among participating parents

Q1: Have parents’ perceptions of social support changed as a result of participation in programming?

Q2: How isolated are the parents we serve? Do they need more social support?

Page 35: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Drafting Evaluation Questions:Drafting Evaluation Questions:ExerciseExercise

• Considering the outcome objectives you chose from your logic model, and;

• Considering the stakeholders involved, and;

• Considering how you want to use the evaluation results …

• What are the core questions that will guide your evaluation?

Page 36: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Group DiscussionGroup Discussion

• What are some of the key questions or issues you have decided to focus on?

• How did you decide which objectives to focus on? What were some of your criteria?

Page 37: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Some critical comments Some critical comments on logic modelson logic models

If we have time ….

Page 38: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

A logic model…A logic model…

• can come in many different formats. There is no “correct” way to format models although some ways are better than others. As a rule, models are more useful if they are clear about logical linkages and proceed temporally from what you do to what you wish to accomplish.

• is not an outcome but a process. You can expect to go through many iterations of your model.

• is only useful insofar as it is used.

Page 39: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Different Approaches to Logic Different Approaches to Logic ModelsModels

Activities

Short-term Outcomes

Long-Term Outcomes

Goals or Vision

Principles

Target Groups

Process, implementation,

service objectives

Additional Info on process

Implementation Steps

Targets

Indicators

Inputs

Outputs/Benchmarks

Additional Info on Measurement

Intermediate Outcomes

Page 40: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Limitations of logic modelsLimitations of logic models• Logic models do not do a good job of capturing

program context and program process

• They can sometimes take on a life of their own. Because they purport to describe the program, people may continue to assume that it is the best rendering of what actually occurs and what the objectives are.

• They may contain outcome objectives that are logical but too difficult to evaluate for a variety of reasons.

• Raises the question: Should an organization include outcome objectives in their model if they fully expect to be unable to evaluate them?

Page 41: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Should PLMs includeShould PLMs includeoutcome objectives thatoutcome objectives that

can’t or won’t be measured?can’t or won’t be measured?

Activity

Behaviour Change?

Attitude Change?

Societal Change?

As we move down the logical chain of the program it gets more and more difficult to evaluate our objectives. This is due to many factors including:

• time • resources• funding and timing of funding • multiple causal factors outside control of program

Do we still include our longer-term objectives?

Page 42: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Group DiscussionGroup Discussion

• What was the hardest part about drafting evaluation questions?

• Did thinking about your evaluation questions lead to any insights about your objectives?

Page 43: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

LUNCHLUNCH

Page 44: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

IndicatorsIndicators

Objectives and evaluation questions lead to a variety of

indicators

Page 45: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Definitions:Definitions:- - Indicators -Indicators -

• empirical (observable) bits of information that are used to determine “how we will know” whether the outcome objectives are being achieved

• measurable approximations of the outcomes you are trying to achieve

Example: Objective: Increased social support among participants Indicator: client perceptions of social support

Page 46: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Review:Review: A Good Indicator … A Good Indicator …

is “empirical” in nature

• is pragmatic

• is as “close” as one can get to the phenomena of interest

• helps to further ”operationalize” an objective

Page 47: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Review:Review: A Good Indicator … A Good Indicator …

• leads to good measurement and methodology  (e.g., measures degrees of change and not just presence or absence)

• is not necessarily quantitative

Example: client perceptions of social support

Page 48: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Review:Review:SSources of Indicatorsources of Indicators

• Research literature

• Data already gathered for other purposes

• Observations

• Perceptions of key informants

• Standardized measurement tools

Page 49: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Choosing Indicators: Choosing Indicators: An ExerciseAn Exercise

Page 50: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

The Main Message About The Main Message About Indicators:Indicators:

• no hard and fast rules about how to do them well

• strategic combination of 2 or 3 imperfect indicators often works best

Good measurement is often an act of creative compromise and balance

Page 51: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Writing out indicators for Writing out indicators for your own objectives: your own objectives:

ExerciseExercise

• Use the indicator planning sheet

• critically reflect on indicators if you already have them .. what are you relying on now?

• refer to handout of good example indicators

Page 52: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Indicator development exerciseIndicator development exercise

Evaluation Question

List relevant indicators from information you already gather

Brainstorm some possible new quantitative indicators (numbers, percentages, rates of change, etc.)

Brainstorm some possible new qualitative indicators (stories, photos, examples, case studies)

Has the switch to a de-centralized model for Ontario Works intake made the system more accessible?

% of callers who hang up while on hold (old system vs. new)

# of legal challenges to screening decisions

Caseworkers opinions about the quality of client information sent to them by intake

% of applicants screened out

Client feedback on access

# of complaints received

Page 53: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

A Framework forA Framework forOutcome MeasurementOutcome Measurement

(We will go through the elements of this table one by one throughout the day)

Evaluation Design Planning Chart

Objective Research Questions Indicators Where will we get the information?

What data collection tools will we use?

Data Analysis

Outcome objective from logic model

May refer to success in meeting objectives (from your logic model) or other questions stakeholders feel the evaluation should address.

Things you can you observe that will help you to answer this question.

Who will you speak to? How would you access existing information?

Given what is written in columns to the left, what method or methods are most efficient and effective?

How are you going to make sense of the data you collect?

Increased feelings of social support among participating parents

Q1: Have parents’ perceptions of social support changed as a result of participation in programming?

% of parents who feel they have social support (e.g., Scores on the ASSQ)

from parents

Survey (at intake, 3 months and 6 months)

pre-post statistical tests

Page 54: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Group DiscussionGroup Discussion

• What are some examples of indicators (or sets of indicators) you think are good? What makes them good?

• What are some examples of indicators (or sets of indicators) you’re not so sure about?

• What are you relying on now?

Page 55: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Is there

buy-in?

You want to do more outcome measurement

Is outcome measure-ment the

next step?

1. Develop Logic models & Evaluability assessment

YES

NOAwareness raising & team building; recruitment of additional people

2. Develop Purpose and Questions

Needs assessment, program design, planning

3. Identify Indicators

ONE MORE TRY: The outcome measurement decision-making tree

5. Agree on purpose and questions, set roles, talk about use of findings

Is there a fit with

resources?

Revise plans, prioritize, discuss with funders

YES

YES

NO

NO

4. Bring together stakeholders

6. Develop workplan

Page 56: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Design: Balancing Balancing Rigour and Credibility Rigour and Credibility

with Practical with Practical LimitationsLimitations

Page 57: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

DesignDesign

• Once you have clear questions and some good indicators for each, the next step is to develop a plan for gathering the information

• Design involves balancing two competing demands: practicality and rigour

Page 58: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Easy ways to “beef up” Easy ways to “beef up” methodological rigourmethodological rigour

Strategy Rationale

Incorporate more descriptive, behavioural questions

Less vulnerable to social desirability bias, easier to understand

Incorporate a greater variety of data types

Allows you to “back up” and strengthen findings

Narrow your focus with research questions

Measure a few things well

Measure at regular intervals Create your own “comparison groups”

Add follow-up measures to time of intervention measures

Allows for tracking of a greater range of outcomes, opens up possibility of failure

Find a comparison group Isolate the contribution of your program

Page 59: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Easy ways to make your design Easy ways to make your design more practical & efficientmore practical & efficient

• Narrow your focus with research questions

• Compare the “return” on different measurement choices and

• Use indicator lists to minimize the length and intrusiveness of surveys

• Stop gathering data you don’t use

• Invest in buy-in, and save time on data collection. Get input from stakeholders at each stage. Pilot test!!!!

Page 60: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Running Example RevisitedRunning Example Revisited Evaluation Design Planning Chart

Objective Research Questions Indicators Where will we get the information?

What data collection tools will we use?

Data Analysis

Outcome objective from logic model

May refer to success in meeting objectives (from your logic model) or other questions stakeholders feel the evaluation should address.

Things you can you observe that will help you to answer this question.

Who will you speak to? How would you access existing information?

Given what is written in columns to the left, what method or methods are most efficient and effective?

How are you going to make sense of the data you collect?

Increased feelings of social support among participating parents

Q1: Have parents’ perceptions of social support changed as a result of participation in programming?

% of parents who feel they have social support (e.g., Scores on the ASSQ)

Parents Parent survey (at intake, 3 months and 6 months)

pre-post statistical tests

Q2: How isolated are the parents we serve? Do they need more social support?

parent self-reports of level of isolation

family or professional key informant assessment of level of isolation of parents

Parents Family

member/professional service provider

Parent survey (at intake)

Parent focus group

Key informant internviews

Page 61: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Design TipsDesign TipsBe flexible and responsive:• design an evaluation that “fits” the needs of the

target populations and other stakeholders;• gather data relevant to specific questions and

project needs• be prepared to revise evaluation questions and

plans as project conditions change • be sensitive to cultural issues in the community• know what resources are available for evaluation

and request additional resources if necessary• be realistic about the existing capacity of the project • allow time to deal with unforeseen problems.

Page 62: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Design TipsDesign Tips

Collect and analyze information from multiple perspectives

Always return to your evaluation questions• The more closely you link your

evaluation design to your highest priority questions, the more likely you will effectively address your questions.

Page 63: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Basic Data Collection Basic Data Collection MethodsMethods

• Interview

• Focus Group

• Satisfaction Survey

• Analysis of client records/administrative data

Page 64: Outcome Evaluation: Logic Models, Evaluation Frameworks, & Measuring Indicators

Pros and cons of popular Pros and cons of popular measurement techniquesmeasurement techniques

• Retrospective reflections or stories

• Self report (interview or survey)

• Peer/family/worker report

• Direct observation

• File review

• Clinical assessments

Less Rigour

More Rigour