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1
Chapter 10
Evaluating Macro Practice
Copyright © 2018 Cengage Learning.
All Rights Reserved.
Copyright © 2018 Cengage Learning.
All Rights Reserved. 2
Why engage in program evaluation
research?
• A program must prove it is successful if it
expects to receive continued support
• Social workers are called upon to use the
results of this type of research as a matter of
ethical practice
Copyright © 2018 Cengage Learning.
All Rights Reserved. 3
Context of Program Evaluation
• Program evaluation efforts have historical roots
• All efforts ask the questions:
• Do the interventions work?
• How do we know they work?
Copyright © 2018 Cengage Learning.
All Rights Reserved. 4
Purposes of Program Evaluation
• There are multiple reasons for engaging in
program evaluation
• Important for workers to be clear on what
information is needed prior to engaging in this
type of evaluation
Copyright © 2018 Cengage Learning.
All Rights Reserved. 5
Key Concepts in Evaluation (slide 1 of 4)
• Control Group
• Experimental Group
• Dependent Variable
• Independent Variable
• Sampling
• Random Sample
Copyright © 2018 Cengage Learning.
All Rights Reserved. 6
Key Concepts in Evaluation (slide 2 of 4)
• Experimental Design
• Quasi-Experimental Designs
• Baseline
• Measures of Central Tendency
• Standard Deviation
• Reliability
Copyright © 2018 Cengage Learning.
All Rights Reserved. 7
Key Concepts in Evaluation (slide 3 of 4)
• Validity
• Face validity
• Predictive validity
• Descriptive Statistics
• Inferential Statistics
• Outcome
Copyright © 2018 Cengage Learning.
All Rights Reserved. 8
Key Concepts in Evaluation (slide 4 of 4)
• Outcome Measures
• Practice outcomes
• Functional outcomes
• Process of care outcomes
• Statistical Significance
• Chi-Square Test
• Correlation Test
Copyright © 2018 Cengage Learning.
All Rights Reserved. 9
Problems and Barriers in Program Evaluation
• Failure to Plan for Evaluation
• Lack of Program Stability
• Relationships between Evaluators and
Practitioners
• When Evaluation Results Are Unclear
• When Evaluation Results Are Not Accepted
• When Evaluation Is Not Worth the Effort
Copyright © 2018 Cengage Learning.
All Rights Reserved. 10
Kinds of Evaluations
• Formative (or Monitoring) Evaluations
• Summative (or Impact) Evaluations
• Effectiveness and Efficiency Evaluations
Copyright © 2018 Cengage Learning.
All Rights Reserved. 11
Evaluation Approaches
• Quantitative Methods
• Qualitative Methods
• One-Group Post-Test Designs
• Pre-Test/Post-Test Designs
• Client Satisfaction Surveys
• Goal Attainment Scaling
Copyright © 2018 Cengage Learning.
All Rights Reserved. 12
Evaluation Approaches (continued)
• Target Problem Scaling
• Case Studies
• Group Comparisons
• Quality Assurance Reviews
Copyright © 2018 Cengage Learning.
All Rights Reserved. 13
Stages in Evaluation (slide 1 of 4)
• Stage 1: Conceptualization and Goal Setting
• Stage 2: Measurement
• Stage 3: Sampling
• Statistical Package for the Social
Sciences (SPSS)
• Systematic Random Sampling
• Stratified Random Sampling
Copyright © 2018 Cengage Learning.
All Rights Reserved. 14
Stages in Evaluation (slide 2 of 4)
• Stage 4: Design
• Threats to validity
• Maturation
Copyright © 2018 Cengage Learning.
All Rights Reserved. 15
Six Common Evaluation Designs
• Pre-Experimental Designs
• One-Group Post-Test-Only Design
• Post-Test-Only Design with
Nonequivalent Groups
• One-Group Pre-Test/Post-Test Design
Copyright © 2018 Cengage Learning.
All Rights Reserved. 16
Six Common Evaluation Designs (continued)
• Quasi-Experimental Designs
• Nonequivalent control group designs
• Time-series designs
• Multiple time-series designs
• Experimental Designs
• Requires both random assignment of subjects
and a control group
• Most difficult to use in actual practice
Copyright © 2018 Cengage Learning.
All Rights Reserved. 17
Stages in Evaluation (slide 3 of 4)
• Stage 5: Data Gathering
• Instruments, tests, scales
• Use of existing instruments preferred due to
issues of validity and reliability
• Stage 6: Data Analysis
• Univariate analysis
• Bivariate analysis
• Multivariate analysis
• Regression analysis
Copyright © 2018 Cengage Learning.
All Rights Reserved. 18
Stages in Evaluation (slide 4 of 4)
• Stage 7: Data Presentation
• Part 1: Introduction
• Part 2: Literature Review
• Part 3: Methodology
• Part 4: Results
• Part 5: Discussion
• Part 6: References and Appendices
• Summary of Data Presentation
Copyright © 2018 Cengage Learning.
All Rights Reserved. 19
Communicating Evaluation Data
• Data must be presented in a clear and concise
fashion
• Written reports should be in a one page,
Executive Summary format, highlighting the
most significant findings
• All six sections listed above should be
addressed
Copyright © 2018 Cengage Learning.
All Rights Reserved. 20
Ethics and Values in Evaluation
• Subjects used in program evaluations must be
volunteers
• The volunteering subject must be informed of
the potential risks associated with participation
• No one should be harmed as a result of
volunteering
• Privacy of volunteers must be stringently
guarded
Copyright © 2018 Cengage Learning.
All Rights Reserved. 21
NASW and the Code of Ethics
• Social workers are obliged to stay current with
relevant research
• Social workers are obliged to contribute to the
knowledge base of social work practice
• Social workers are obliged to ensure that clients
are given the most effective interventions
possible
• Social workers are obliged to ensure that
programs are based on solid research

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Ppt ch10 gpoc

  • 1. 1 Chapter 10 Evaluating Macro Practice Copyright © 2018 Cengage Learning. All Rights Reserved.
  • 2. Copyright © 2018 Cengage Learning. All Rights Reserved. 2 Why engage in program evaluation research? • A program must prove it is successful if it expects to receive continued support • Social workers are called upon to use the results of this type of research as a matter of ethical practice
  • 3. Copyright © 2018 Cengage Learning. All Rights Reserved. 3 Context of Program Evaluation • Program evaluation efforts have historical roots • All efforts ask the questions: • Do the interventions work? • How do we know they work?
  • 4. Copyright © 2018 Cengage Learning. All Rights Reserved. 4 Purposes of Program Evaluation • There are multiple reasons for engaging in program evaluation • Important for workers to be clear on what information is needed prior to engaging in this type of evaluation
  • 5. Copyright © 2018 Cengage Learning. All Rights Reserved. 5 Key Concepts in Evaluation (slide 1 of 4) • Control Group • Experimental Group • Dependent Variable • Independent Variable • Sampling • Random Sample
  • 6. Copyright © 2018 Cengage Learning. All Rights Reserved. 6 Key Concepts in Evaluation (slide 2 of 4) • Experimental Design • Quasi-Experimental Designs • Baseline • Measures of Central Tendency • Standard Deviation • Reliability
  • 7. Copyright © 2018 Cengage Learning. All Rights Reserved. 7 Key Concepts in Evaluation (slide 3 of 4) • Validity • Face validity • Predictive validity • Descriptive Statistics • Inferential Statistics • Outcome
  • 8. Copyright © 2018 Cengage Learning. All Rights Reserved. 8 Key Concepts in Evaluation (slide 4 of 4) • Outcome Measures • Practice outcomes • Functional outcomes • Process of care outcomes • Statistical Significance • Chi-Square Test • Correlation Test
  • 9. Copyright © 2018 Cengage Learning. All Rights Reserved. 9 Problems and Barriers in Program Evaluation • Failure to Plan for Evaluation • Lack of Program Stability • Relationships between Evaluators and Practitioners • When Evaluation Results Are Unclear • When Evaluation Results Are Not Accepted • When Evaluation Is Not Worth the Effort
  • 10. Copyright © 2018 Cengage Learning. All Rights Reserved. 10 Kinds of Evaluations • Formative (or Monitoring) Evaluations • Summative (or Impact) Evaluations • Effectiveness and Efficiency Evaluations
  • 11. Copyright © 2018 Cengage Learning. All Rights Reserved. 11 Evaluation Approaches • Quantitative Methods • Qualitative Methods • One-Group Post-Test Designs • Pre-Test/Post-Test Designs • Client Satisfaction Surveys • Goal Attainment Scaling
  • 12. Copyright © 2018 Cengage Learning. All Rights Reserved. 12 Evaluation Approaches (continued) • Target Problem Scaling • Case Studies • Group Comparisons • Quality Assurance Reviews
  • 13. Copyright © 2018 Cengage Learning. All Rights Reserved. 13 Stages in Evaluation (slide 1 of 4) • Stage 1: Conceptualization and Goal Setting • Stage 2: Measurement • Stage 3: Sampling • Statistical Package for the Social Sciences (SPSS) • Systematic Random Sampling • Stratified Random Sampling
  • 14. Copyright © 2018 Cengage Learning. All Rights Reserved. 14 Stages in Evaluation (slide 2 of 4) • Stage 4: Design • Threats to validity • Maturation
  • 15. Copyright © 2018 Cengage Learning. All Rights Reserved. 15 Six Common Evaluation Designs • Pre-Experimental Designs • One-Group Post-Test-Only Design • Post-Test-Only Design with Nonequivalent Groups • One-Group Pre-Test/Post-Test Design
  • 16. Copyright © 2018 Cengage Learning. All Rights Reserved. 16 Six Common Evaluation Designs (continued) • Quasi-Experimental Designs • Nonequivalent control group designs • Time-series designs • Multiple time-series designs • Experimental Designs • Requires both random assignment of subjects and a control group • Most difficult to use in actual practice
  • 17. Copyright © 2018 Cengage Learning. All Rights Reserved. 17 Stages in Evaluation (slide 3 of 4) • Stage 5: Data Gathering • Instruments, tests, scales • Use of existing instruments preferred due to issues of validity and reliability • Stage 6: Data Analysis • Univariate analysis • Bivariate analysis • Multivariate analysis • Regression analysis
  • 18. Copyright © 2018 Cengage Learning. All Rights Reserved. 18 Stages in Evaluation (slide 4 of 4) • Stage 7: Data Presentation • Part 1: Introduction • Part 2: Literature Review • Part 3: Methodology • Part 4: Results • Part 5: Discussion • Part 6: References and Appendices • Summary of Data Presentation
  • 19. Copyright © 2018 Cengage Learning. All Rights Reserved. 19 Communicating Evaluation Data • Data must be presented in a clear and concise fashion • Written reports should be in a one page, Executive Summary format, highlighting the most significant findings • All six sections listed above should be addressed
  • 20. Copyright © 2018 Cengage Learning. All Rights Reserved. 20 Ethics and Values in Evaluation • Subjects used in program evaluations must be volunteers • The volunteering subject must be informed of the potential risks associated with participation • No one should be harmed as a result of volunteering • Privacy of volunteers must be stringently guarded
  • 21. Copyright © 2018 Cengage Learning. All Rights Reserved. 21 NASW and the Code of Ethics • Social workers are obliged to stay current with relevant research • Social workers are obliged to contribute to the knowledge base of social work practice • Social workers are obliged to ensure that clients are given the most effective interventions possible • Social workers are obliged to ensure that programs are based on solid research