SlideShare une entreprise Scribd logo
1  sur  26
1© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
See the PDE booklet,
Collecting evaluation data: Direct observations
http://learningstore.uwex.edu/pdf/G3658-05.pdf
Using
observation
to collect
evaluation
data
2© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Checking in…
– Who has used observation as a data
collection method?
– What are your experiences with it?
– Who is hoping to use it – How?
3© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Participant observation: What it is
4© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Quantitative vs. qualitative methods
Quantitative Qualitative
Survey Observation
Tests Interview
Questionnaire Focus group
5© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Observation…
Involves all 5 senses:
sight, hearing, smell, touch, and taste
6© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Use in program evaluation
• When you want direct information
• When you are trying to understand an
ongoing behavior, process, unfolding
situation, or event
• When there is physical evidence, products,
or outcomes that can be readily seen
• When written or other data collection
methods seem inappropriate
7© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Observations
Advantages
– Provides direct
information; not
dependent upon
someone’s
response
– Unobtrusive
– See things in
natural context
– Flexible; discovery
oriented
Disadvantages
– Observer’s presence
may create artificial
situation
– Potential for bias
– Time consuming
– Requires diligence,
preparation
– Challenging to collect
data while participating
8© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Observation – Ethical issues
• Unobtrusiveness is its greatest strength; also
potential for abuse in invasion of privacy
• You can venture into places and gather data
almost anywhere so questions re. what is
ethical
– Overt vs. covert
• Remember our Human Subjects Protection
guidelines
– Consent form for participating in an
observational study
Consider cultural appropriateness of using observation
9© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
What are the implications for using observation
as an evaluation data collection method?
10© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Participant observation: How to do it?
11© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
What to observe
• People (individuals, groups,
communities)
– Characteristics
– Interactions
– Behaviors
– Reactions
• Physical settings
• Environmental features
• Products/physical artifacts
Observing what does not happen may be as important as
observing what does happen
12© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Types of observation
Structured Unstructured
Looking for vs. Looking at
Sometimes we have
something specific we want
to observe – leadership
skills; level of participation;
etc. We use a structured,
preset guide of what to
observe or a checklist.
Sometimes we want to
see what is naturally
occurring or exists without
predetermined ideas. We
use have an open-ended
approach to observation
and record all that we
observe
13© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Practice:
Structured/unstructured observations
Imagine you are sitting in a room where ten
youth are sitting at computers learning about
Web 2.0 applications.
1) If you want to assess to what extent
students are interested and learning, what
specifically would you look (listen) for?
2) If you aren’t sure what specifically indicates
student interest or learning and you want to
see what is going on during the
demonstration, how would you proceed?
14© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Example – Observing participation in an
after school program
• Who you will observe:
youth attending the program
• What you will observe:
– Age, gender
– Length of time student stays in the program
– Involvement in activities: which activities
• Level of involvement
– Interactions with other youth; with staff
• When you will observe: all hours the program
is open for one week each month during 2007
15© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Recording your observations
It is not good enough to just observe,
you need to systematically record your
observations. You might use:
– Observation guide
– Recording sheet
– Checklist
– Field note
– Picture
– Combination of the above
16© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Sample Observation Guides
Guide for structured observations Guide for unstructured observations
17© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Structured observation guide used for pre and post program evaluation
18© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Notebooks to record and collect observations
as they occur
19© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Who does the observations?
• You – program staff
• Participants - Youth
• Parents
• Teachers
• Volunteers
• Other stakeholders
• Colleagues
20© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Training –
preparation/orientation may be necessary
– To learn what to look for
– To learn how to record observations
– To practice
– To ensure that observations across sites are
consistent: observers use the same
methods, rate an observation in same way
21© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
How well do you observe?
22© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
23© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Becoming a skilled observer includes…
• Learning to pay attention, see what there is to see,
and hear what there is to hear;
• Practice in writing descriptively;
• Acquiring discipline in recording notes;
• Knowing how to separate detail from trivia;
• Using rigorous methods to validate and triangulate
observations;
• Reporting the strengths and limitations of one’s own
perspective
» M.Q. Patton, 2002. Qualitative Research and
Evaluation Methods. Sage, pg 260
24© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Data analysis and interpretation
Qualitative data = qualitative data analysis
– Standard content analysis
• Get to know your data
• Focus the analysis
• Categorize information
• Identify patterns and connections
• Interpret – bring it all together
PDE booklet: Analyzing Qualitative Data
http://learningstore.uwex.edu/Assets/pdfs/G3658-12.pdf
25© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Practice
your observation skills
everyday in everyway!
And,
add observation
to your data collection toolbox.
26© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
Steps in planning for observation
• Determine who/what will be observed.
• Determine aspects that will be observed
(characteristics, attributes, behaviors, etc.).
• Determine where and when observations
will be made.
• Develop the observation guide
• Pilot test the observation guide
• Train the observers and have them practice.
• Conduct the observations
• Analyze and interpret the collected information.
• Write up and use your findings.

Contenu connexe

Tendances

Research Design [Creswell]
Research Design [Creswell]Research Design [Creswell]
Research Design [Creswell]jrgmckinney
 
Practical applications and analysis in Research Methodology
Practical applications and analysis in Research Methodology Practical applications and analysis in Research Methodology
Practical applications and analysis in Research Methodology Hafsa Ranjha
 
Participant Observation
Participant ObservationParticipant Observation
Participant Observationhuberannaj
 
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...Bikash Sapkota
 
Methods used for qualitative data collection
Methods used for qualitative data collectionMethods used for qualitative data collection
Methods used for qualitative data collectionStats Statswork
 
Braun, Clarke & Hayfield Thematic Analysis Part 1
Braun, Clarke & Hayfield Thematic Analysis Part 1Braun, Clarke & Hayfield Thematic Analysis Part 1
Braun, Clarke & Hayfield Thematic Analysis Part 1Victoria Clarke
 
Research instruments
Research instrumentsResearch instruments
Research instrumentsAgnes Pangan
 
Methods of data collection
Methods of data collectionMethods of data collection
Methods of data collectionJithin Thomas
 
Survey Design: Introduction & Overview
Survey Design: Introduction & OverviewSurvey Design: Introduction & Overview
Survey Design: Introduction & OverviewJames Neill
 
Data Analysis for Marketing - Observation techniques
Data Analysis for Marketing - Observation techniquesData Analysis for Marketing - Observation techniques
Data Analysis for Marketing - Observation techniquesJodie Caston
 
Introduction to research
Introduction to researchIntroduction to research
Introduction to researchReshma Reddy
 
Braun, Clarke & Hayfield Thematic Analysis Part 2
Braun, Clarke & Hayfield Thematic Analysis Part 2Braun, Clarke & Hayfield Thematic Analysis Part 2
Braun, Clarke & Hayfield Thematic Analysis Part 2Victoria Clarke
 
Qualitative research design in research in education
Qualitative research design in research in educationQualitative research design in research in education
Qualitative research design in research in educationRashna Asif
 
Data collection and analysis
Data collection and analysisData collection and analysis
Data collection and analysisAndres Baravalle
 

Tendances (20)

Research Design [Creswell]
Research Design [Creswell]Research Design [Creswell]
Research Design [Creswell]
 
Practical applications and analysis in Research Methodology
Practical applications and analysis in Research Methodology Practical applications and analysis in Research Methodology
Practical applications and analysis in Research Methodology
 
mixed_methods.pdf
mixed_methods.pdfmixed_methods.pdf
mixed_methods.pdf
 
Participant Observation
Participant ObservationParticipant Observation
Participant Observation
 
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...
Data Collection (Methods/ Tools/ Techniques), Primary & Secondary Data, Quali...
 
Methods used for qualitative data collection
Methods used for qualitative data collectionMethods used for qualitative data collection
Methods used for qualitative data collection
 
Braun, Clarke & Hayfield Thematic Analysis Part 1
Braun, Clarke & Hayfield Thematic Analysis Part 1Braun, Clarke & Hayfield Thematic Analysis Part 1
Braun, Clarke & Hayfield Thematic Analysis Part 1
 
Research instruments
Research instrumentsResearch instruments
Research instruments
 
Methods of data collection
Methods of data collectionMethods of data collection
Methods of data collection
 
Survey Design: Introduction & Overview
Survey Design: Introduction & OverviewSurvey Design: Introduction & Overview
Survey Design: Introduction & Overview
 
Data Analysis for Marketing - Observation techniques
Data Analysis for Marketing - Observation techniquesData Analysis for Marketing - Observation techniques
Data Analysis for Marketing - Observation techniques
 
Qualitative data analysis
Qualitative data analysisQualitative data analysis
Qualitative data analysis
 
Introduction to research
Introduction to researchIntroduction to research
Introduction to research
 
Sampling
SamplingSampling
Sampling
 
Braun, Clarke & Hayfield Thematic Analysis Part 2
Braun, Clarke & Hayfield Thematic Analysis Part 2Braun, Clarke & Hayfield Thematic Analysis Part 2
Braun, Clarke & Hayfield Thematic Analysis Part 2
 
Thematic analysis
Thematic analysisThematic analysis
Thematic analysis
 
Qualitative research design in research in education
Qualitative research design in research in educationQualitative research design in research in education
Qualitative research design in research in education
 
Data collection and analysis
Data collection and analysisData collection and analysis
Data collection and analysis
 
Qualitative Research
Qualitative ResearchQualitative Research
Qualitative Research
 
Qualitative Research Methods
Qualitative Research MethodsQualitative Research Methods
Qualitative Research Methods
 

Similaire à Introduction to Participant Observation as a Data Collection Method in Program Evaluation

Institution wide assessment practice-sacscoc2013conferencepresentation
Institution wide assessment practice-sacscoc2013conferencepresentationInstitution wide assessment practice-sacscoc2013conferencepresentation
Institution wide assessment practice-sacscoc2013conferencepresentationLinda Townsend
 
Mi campus compactnetwork-b bargerstock
Mi campus compactnetwork-b bargerstockMi campus compactnetwork-b bargerstock
Mi campus compactnetwork-b bargerstockdoodle01
 
Scaling up learning analytics
Scaling up learning analyticsScaling up learning analytics
Scaling up learning analyticsRebecca Ferguson
 
Institution wide assessment practice-connections2014conferencepresentation
Institution wide assessment practice-connections2014conferencepresentationInstitution wide assessment practice-connections2014conferencepresentation
Institution wide assessment practice-connections2014conferencepresentationLinda Townsend
 
Learning analytics: developing an action plan ... developing a vision
Learning analytics: developing an action plan ... developing a visionLearning analytics: developing an action plan ... developing a vision
Learning analytics: developing an action plan ... developing a visionRebecca Ferguson
 
What is program evaluation lecture 100207 [compatibility mode]
What is program evaluation lecture   100207 [compatibility mode]What is program evaluation lecture   100207 [compatibility mode]
What is program evaluation lecture 100207 [compatibility mode]Jennifer Morrow
 
Beyond the Retention Goulash
Beyond the Retention GoulashBeyond the Retention Goulash
Beyond the Retention GoulashMark Brown
 
Analysing analytics, what is learning analytics?
Analysing analytics, what is learning analytics?Analysing analytics, what is learning analytics?
Analysing analytics, what is learning analytics?Moodlerooms
 
FACT2 Learning Analytics Task Group Phase 2 report - CIT2014
FACT2 Learning Analytics Task Group Phase 2 report - CIT2014FACT2 Learning Analytics Task Group Phase 2 report - CIT2014
FACT2 Learning Analytics Task Group Phase 2 report - CIT2014Greg Ketcham
 
PRINCIPLES RELATED TO THE SELECTION - Assessment.pdf
PRINCIPLES RELATED TO THE SELECTION  - Assessment.pdfPRINCIPLES RELATED TO THE SELECTION  - Assessment.pdf
PRINCIPLES RELATED TO THE SELECTION - Assessment.pdfBeulahJayarani
 
frwk17-case-study-2-monitoring-and-tracking.ppt
frwk17-case-study-2-monitoring-and-tracking.pptfrwk17-case-study-2-monitoring-and-tracking.ppt
frwk17-case-study-2-monitoring-and-tracking.pptAbuFatih12
 
Eight Paths to Special Education Teacher Leadership
Eight Paths to Special Education Teacher LeadershipEight Paths to Special Education Teacher Leadership
Eight Paths to Special Education Teacher LeadershipBrookes Publishing
 
Introduction to Designing Assessment Plans Workshop 1
Introduction to Designing Assessment Plans Workshop 1Introduction to Designing Assessment Plans Workshop 1
Introduction to Designing Assessment Plans Workshop 1Lisa M. Snyder
 

Similaire à Introduction to Participant Observation as a Data Collection Method in Program Evaluation (20)

Institution wide assessment practice-sacscoc2013conferencepresentation
Institution wide assessment practice-sacscoc2013conferencepresentationInstitution wide assessment practice-sacscoc2013conferencepresentation
Institution wide assessment practice-sacscoc2013conferencepresentation
 
Mi campus compactnetwork-b bargerstock
Mi campus compactnetwork-b bargerstockMi campus compactnetwork-b bargerstock
Mi campus compactnetwork-b bargerstock
 
Scaling up learning analytics
Scaling up learning analyticsScaling up learning analytics
Scaling up learning analytics
 
Institution wide assessment practice-connections2014conferencepresentation
Institution wide assessment practice-connections2014conferencepresentationInstitution wide assessment practice-connections2014conferencepresentation
Institution wide assessment practice-connections2014conferencepresentation
 
Part III. Project evaluation
Part III. Project evaluationPart III. Project evaluation
Part III. Project evaluation
 
Chapter 14
Chapter 14Chapter 14
Chapter 14
 
Learning analytics: developing an action plan ... developing a vision
Learning analytics: developing an action plan ... developing a visionLearning analytics: developing an action plan ... developing a vision
Learning analytics: developing an action plan ... developing a vision
 
Supporting students to transition to HE study - Sales
Supporting students to transition to HE study - SalesSupporting students to transition to HE study - Sales
Supporting students to transition to HE study - Sales
 
Project evaluation
Project evaluationProject evaluation
Project evaluation
 
What is program evaluation lecture 100207 [compatibility mode]
What is program evaluation lecture   100207 [compatibility mode]What is program evaluation lecture   100207 [compatibility mode]
What is program evaluation lecture 100207 [compatibility mode]
 
Beyond the Retention Goulash
Beyond the Retention GoulashBeyond the Retention Goulash
Beyond the Retention Goulash
 
Analysing analytics, what is learning analytics?
Analysing analytics, what is learning analytics?Analysing analytics, what is learning analytics?
Analysing analytics, what is learning analytics?
 
Learning Analytics
Learning AnalyticsLearning Analytics
Learning Analytics
 
FACT2 Learning Analytics Task Group Phase 2 report - CIT2014
FACT2 Learning Analytics Task Group Phase 2 report - CIT2014FACT2 Learning Analytics Task Group Phase 2 report - CIT2014
FACT2 Learning Analytics Task Group Phase 2 report - CIT2014
 
PRINCIPLES RELATED TO THE SELECTION - Assessment.pdf
PRINCIPLES RELATED TO THE SELECTION  - Assessment.pdfPRINCIPLES RELATED TO THE SELECTION  - Assessment.pdf
PRINCIPLES RELATED TO THE SELECTION - Assessment.pdf
 
frwk17-case-study-2-monitoring-and-tracking.ppt
frwk17-case-study-2-monitoring-and-tracking.pptfrwk17-case-study-2-monitoring-and-tracking.ppt
frwk17-case-study-2-monitoring-and-tracking.ppt
 
Eight Paths to Special Education Teacher Leadership
Eight Paths to Special Education Teacher LeadershipEight Paths to Special Education Teacher Leadership
Eight Paths to Special Education Teacher Leadership
 
Preparing for the future
Preparing for the futurePreparing for the future
Preparing for the future
 
Akhani education whole school development model
Akhani education   whole school development modelAkhani education   whole school development model
Akhani education whole school development model
 
Introduction to Designing Assessment Plans Workshop 1
Introduction to Designing Assessment Plans Workshop 1Introduction to Designing Assessment Plans Workshop 1
Introduction to Designing Assessment Plans Workshop 1
 

Plus de sondramilkie

Recognition Moments
Recognition MomentsRecognition Moments
Recognition Momentssondramilkie
 
Scholarship as Collaborative Public Work: Extension's Unique Niche--Scott Peters
Scholarship as Collaborative Public Work: Extension's Unique Niche--Scott PetersScholarship as Collaborative Public Work: Extension's Unique Niche--Scott Peters
Scholarship as Collaborative Public Work: Extension's Unique Niche--Scott Peterssondramilkie
 
Connect the Dots and Change the Game--Linda Booth Sweeney
Connect the Dots and Change the Game--Linda Booth SweeneyConnect the Dots and Change the Game--Linda Booth Sweeney
Connect the Dots and Change the Game--Linda Booth Sweeneysondramilkie
 
"Everybody is a Somebody" A Dialogue on Classism in Cooperative Extension
"Everybody is a Somebody" A Dialogue on Classism in Cooperative Extension"Everybody is a Somebody" A Dialogue on Classism in Cooperative Extension
"Everybody is a Somebody" A Dialogue on Classism in Cooperative Extensionsondramilkie
 
Communicating Value: UWEX Partners with County Drug Court
Communicating Value: UWEX Partners with County Drug CourtCommunicating Value: UWEX Partners with County Drug Court
Communicating Value: UWEX Partners with County Drug Courtsondramilkie
 
Taking the Terror out of Writing for Publication
Taking the Terror out of Writing for PublicationTaking the Terror out of Writing for Publication
Taking the Terror out of Writing for Publicationsondramilkie
 
Tricky Terminology: Making Sense Of and Applying Research and Evidence-Based ...
Tricky Terminology: Making Sense Of and Applying Research and Evidence-Based ...Tricky Terminology: Making Sense Of and Applying Research and Evidence-Based ...
Tricky Terminology: Making Sense Of and Applying Research and Evidence-Based ...sondramilkie
 
It’s All About Me! My Responsibility in Building Strong Relationships
It’s All About Me! My Responsibility in Building Strong RelationshipsIt’s All About Me! My Responsibility in Building Strong Relationships
It’s All About Me! My Responsibility in Building Strong Relationshipssondramilkie
 
Where Have All the Crop Acres Gone?
Where Have All the Crop Acres Gone?Where Have All the Crop Acres Gone?
Where Have All the Crop Acres Gone?sondramilkie
 
Asset-Based and Collaborative Strategies for Community Economic Development
Asset-Based and Collaborative Strategies for Community Economic DevelopmentAsset-Based and Collaborative Strategies for Community Economic Development
Asset-Based and Collaborative Strategies for Community Economic Developmentsondramilkie
 
Promising Strategies for Engaging Culturally Diverse Audiences
Promising Strategies for Engaging Culturally Diverse AudiencesPromising Strategies for Engaging Culturally Diverse Audiences
Promising Strategies for Engaging Culturally Diverse Audiencessondramilkie
 
Maximizing the Teen Court Experience for Youth Panel Members
Maximizing the Teen Court Experience for Youth Panel MembersMaximizing the Teen Court Experience for Youth Panel Members
Maximizing the Teen Court Experience for Youth Panel Memberssondramilkie
 
Connecting the Dots: Program Sustainability, Relationships and Building Capac...
Connecting the Dots: Program Sustainability, Relationships and Building Capac...Connecting the Dots: Program Sustainability, Relationships and Building Capac...
Connecting the Dots: Program Sustainability, Relationships and Building Capac...sondramilkie
 
Innovative responses to working with diverse and emerging audiences wnep ap...
Innovative responses to working with diverse and emerging audiences   wnep ap...Innovative responses to working with diverse and emerging audiences   wnep ap...
Innovative responses to working with diverse and emerging audiences wnep ap...sondramilkie
 
Technology across the Generations: Using Educational Technologies to Engage M...
Technology across the Generations: Using Educational Technologies to Engage M...Technology across the Generations: Using Educational Technologies to Engage M...
Technology across the Generations: Using Educational Technologies to Engage M...sondramilkie
 
A Cross-Programmatic Response to Food Insecurity Issues
A Cross-Programmatic Response to Food Insecurity IssuesA Cross-Programmatic Response to Food Insecurity Issues
A Cross-Programmatic Response to Food Insecurity Issuessondramilkie
 
Creating Aging Friendly Communities in Wisconsin: How Prepared is Your Commun...
Creating Aging Friendly Communities in Wisconsin: How Prepared is Your Commun...Creating Aging Friendly Communities in Wisconsin: How Prepared is Your Commun...
Creating Aging Friendly Communities in Wisconsin: How Prepared is Your Commun...sondramilkie
 
Why Public Policy Education is Extension's Long-Standing Approach for Working...
Why Public Policy Education is Extension's Long-Standing Approach for Working...Why Public Policy Education is Extension's Long-Standing Approach for Working...
Why Public Policy Education is Extension's Long-Standing Approach for Working...sondramilkie
 
Why Public Policy Education is Extension's Long-Standing Approach for Working...
Why Public Policy Education is Extension's Long-Standing Approach for Working...Why Public Policy Education is Extension's Long-Standing Approach for Working...
Why Public Policy Education is Extension's Long-Standing Approach for Working...sondramilkie
 

Plus de sondramilkie (20)

Recognition Moments
Recognition MomentsRecognition Moments
Recognition Moments
 
Scholarship as Collaborative Public Work: Extension's Unique Niche--Scott Peters
Scholarship as Collaborative Public Work: Extension's Unique Niche--Scott PetersScholarship as Collaborative Public Work: Extension's Unique Niche--Scott Peters
Scholarship as Collaborative Public Work: Extension's Unique Niche--Scott Peters
 
Connect the Dots and Change the Game--Linda Booth Sweeney
Connect the Dots and Change the Game--Linda Booth SweeneyConnect the Dots and Change the Game--Linda Booth Sweeney
Connect the Dots and Change the Game--Linda Booth Sweeney
 
"Everybody is a Somebody" A Dialogue on Classism in Cooperative Extension
"Everybody is a Somebody" A Dialogue on Classism in Cooperative Extension"Everybody is a Somebody" A Dialogue on Classism in Cooperative Extension
"Everybody is a Somebody" A Dialogue on Classism in Cooperative Extension
 
Communicating Value: UWEX Partners with County Drug Court
Communicating Value: UWEX Partners with County Drug CourtCommunicating Value: UWEX Partners with County Drug Court
Communicating Value: UWEX Partners with County Drug Court
 
Taking the Terror out of Writing for Publication
Taking the Terror out of Writing for PublicationTaking the Terror out of Writing for Publication
Taking the Terror out of Writing for Publication
 
Tricky Terminology: Making Sense Of and Applying Research and Evidence-Based ...
Tricky Terminology: Making Sense Of and Applying Research and Evidence-Based ...Tricky Terminology: Making Sense Of and Applying Research and Evidence-Based ...
Tricky Terminology: Making Sense Of and Applying Research and Evidence-Based ...
 
It’s All About Me! My Responsibility in Building Strong Relationships
It’s All About Me! My Responsibility in Building Strong RelationshipsIt’s All About Me! My Responsibility in Building Strong Relationships
It’s All About Me! My Responsibility in Building Strong Relationships
 
Where Have All the Crop Acres Gone?
Where Have All the Crop Acres Gone?Where Have All the Crop Acres Gone?
Where Have All the Crop Acres Gone?
 
Asset-Based and Collaborative Strategies for Community Economic Development
Asset-Based and Collaborative Strategies for Community Economic DevelopmentAsset-Based and Collaborative Strategies for Community Economic Development
Asset-Based and Collaborative Strategies for Community Economic Development
 
"Power of Wind"
"Power of Wind""Power of Wind"
"Power of Wind"
 
Promising Strategies for Engaging Culturally Diverse Audiences
Promising Strategies for Engaging Culturally Diverse AudiencesPromising Strategies for Engaging Culturally Diverse Audiences
Promising Strategies for Engaging Culturally Diverse Audiences
 
Maximizing the Teen Court Experience for Youth Panel Members
Maximizing the Teen Court Experience for Youth Panel MembersMaximizing the Teen Court Experience for Youth Panel Members
Maximizing the Teen Court Experience for Youth Panel Members
 
Connecting the Dots: Program Sustainability, Relationships and Building Capac...
Connecting the Dots: Program Sustainability, Relationships and Building Capac...Connecting the Dots: Program Sustainability, Relationships and Building Capac...
Connecting the Dots: Program Sustainability, Relationships and Building Capac...
 
Innovative responses to working with diverse and emerging audiences wnep ap...
Innovative responses to working with diverse and emerging audiences   wnep ap...Innovative responses to working with diverse and emerging audiences   wnep ap...
Innovative responses to working with diverse and emerging audiences wnep ap...
 
Technology across the Generations: Using Educational Technologies to Engage M...
Technology across the Generations: Using Educational Technologies to Engage M...Technology across the Generations: Using Educational Technologies to Engage M...
Technology across the Generations: Using Educational Technologies to Engage M...
 
A Cross-Programmatic Response to Food Insecurity Issues
A Cross-Programmatic Response to Food Insecurity IssuesA Cross-Programmatic Response to Food Insecurity Issues
A Cross-Programmatic Response to Food Insecurity Issues
 
Creating Aging Friendly Communities in Wisconsin: How Prepared is Your Commun...
Creating Aging Friendly Communities in Wisconsin: How Prepared is Your Commun...Creating Aging Friendly Communities in Wisconsin: How Prepared is Your Commun...
Creating Aging Friendly Communities in Wisconsin: How Prepared is Your Commun...
 
Why Public Policy Education is Extension's Long-Standing Approach for Working...
Why Public Policy Education is Extension's Long-Standing Approach for Working...Why Public Policy Education is Extension's Long-Standing Approach for Working...
Why Public Policy Education is Extension's Long-Standing Approach for Working...
 
Why Public Policy Education is Extension's Long-Standing Approach for Working...
Why Public Policy Education is Extension's Long-Standing Approach for Working...Why Public Policy Education is Extension's Long-Standing Approach for Working...
Why Public Policy Education is Extension's Long-Standing Approach for Working...
 

Dernier

"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 

Dernier (20)

"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 

Introduction to Participant Observation as a Data Collection Method in Program Evaluation

  • 1. 1© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation See the PDE booklet, Collecting evaluation data: Direct observations http://learningstore.uwex.edu/pdf/G3658-05.pdf Using observation to collect evaluation data
  • 2. 2© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Checking in… – Who has used observation as a data collection method? – What are your experiences with it? – Who is hoping to use it – How?
  • 3. 3© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Participant observation: What it is
  • 4. 4© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Quantitative vs. qualitative methods Quantitative Qualitative Survey Observation Tests Interview Questionnaire Focus group
  • 5. 5© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Observation… Involves all 5 senses: sight, hearing, smell, touch, and taste
  • 6. 6© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Use in program evaluation • When you want direct information • When you are trying to understand an ongoing behavior, process, unfolding situation, or event • When there is physical evidence, products, or outcomes that can be readily seen • When written or other data collection methods seem inappropriate
  • 7. 7© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Observations Advantages – Provides direct information; not dependent upon someone’s response – Unobtrusive – See things in natural context – Flexible; discovery oriented Disadvantages – Observer’s presence may create artificial situation – Potential for bias – Time consuming – Requires diligence, preparation – Challenging to collect data while participating
  • 8. 8© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Observation – Ethical issues • Unobtrusiveness is its greatest strength; also potential for abuse in invasion of privacy • You can venture into places and gather data almost anywhere so questions re. what is ethical – Overt vs. covert • Remember our Human Subjects Protection guidelines – Consent form for participating in an observational study Consider cultural appropriateness of using observation
  • 9. 9© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation What are the implications for using observation as an evaluation data collection method?
  • 10. 10© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Participant observation: How to do it?
  • 11. 11© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation What to observe • People (individuals, groups, communities) – Characteristics – Interactions – Behaviors – Reactions • Physical settings • Environmental features • Products/physical artifacts Observing what does not happen may be as important as observing what does happen
  • 12. 12© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Types of observation Structured Unstructured Looking for vs. Looking at Sometimes we have something specific we want to observe – leadership skills; level of participation; etc. We use a structured, preset guide of what to observe or a checklist. Sometimes we want to see what is naturally occurring or exists without predetermined ideas. We use have an open-ended approach to observation and record all that we observe
  • 13. 13© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Practice: Structured/unstructured observations Imagine you are sitting in a room where ten youth are sitting at computers learning about Web 2.0 applications. 1) If you want to assess to what extent students are interested and learning, what specifically would you look (listen) for? 2) If you aren’t sure what specifically indicates student interest or learning and you want to see what is going on during the demonstration, how would you proceed?
  • 14. 14© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Example – Observing participation in an after school program • Who you will observe: youth attending the program • What you will observe: – Age, gender – Length of time student stays in the program – Involvement in activities: which activities • Level of involvement – Interactions with other youth; with staff • When you will observe: all hours the program is open for one week each month during 2007
  • 15. 15© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Recording your observations It is not good enough to just observe, you need to systematically record your observations. You might use: – Observation guide – Recording sheet – Checklist – Field note – Picture – Combination of the above
  • 16. 16© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Sample Observation Guides Guide for structured observations Guide for unstructured observations
  • 17. 17© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Structured observation guide used for pre and post program evaluation
  • 18. 18© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Notebooks to record and collect observations as they occur
  • 19. 19© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Who does the observations? • You – program staff • Participants - Youth • Parents • Teachers • Volunteers • Other stakeholders • Colleagues
  • 20. 20© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Training – preparation/orientation may be necessary – To learn what to look for – To learn how to record observations – To practice – To ensure that observations across sites are consistent: observers use the same methods, rate an observation in same way
  • 21. 21© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation How well do you observe?
  • 22. 22© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation
  • 23. 23© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Becoming a skilled observer includes… • Learning to pay attention, see what there is to see, and hear what there is to hear; • Practice in writing descriptively; • Acquiring discipline in recording notes; • Knowing how to separate detail from trivia; • Using rigorous methods to validate and triangulate observations; • Reporting the strengths and limitations of one’s own perspective » M.Q. Patton, 2002. Qualitative Research and Evaluation Methods. Sage, pg 260
  • 24. 24© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Data analysis and interpretation Qualitative data = qualitative data analysis – Standard content analysis • Get to know your data • Focus the analysis • Categorize information • Identify patterns and connections • Interpret – bring it all together PDE booklet: Analyzing Qualitative Data http://learningstore.uwex.edu/Assets/pdfs/G3658-12.pdf
  • 25. 25© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Practice your observation skills everyday in everyway! And, add observation to your data collection toolbox.
  • 26. 26© 2009 University of Wisconsin-Extension, Cooperative Extension, Program Development and Evaluation Steps in planning for observation • Determine who/what will be observed. • Determine aspects that will be observed (characteristics, attributes, behaviors, etc.). • Determine where and when observations will be made. • Develop the observation guide • Pilot test the observation guide • Train the observers and have them practice. • Conduct the observations • Analyze and interpret the collected information. • Write up and use your findings.

Notes de l'éditeur

  1. Take 15 seconds and look at the picture below. Move to the next slide or turn away from the computer screen and write down everything you observed. Then, come back to the photo and see what you missed (or thought was there and isn’t!).