This highly accessible evaluation text encourages students to evaluate their practice from multiple points of view, without the use of statistics.   It encourages the client's active participation in evaluation by asking: "Are these the results you wanted in resolving your concern?" and builds on single-case design.   

Table of Contents:
(C-CEP) AND SINGLE-SYSTEM DESIGN (SSD)   Chapter 1: Introduction of Client-Centered Evaluation of Practice A New Approach to Evaluating Practice Case Study: Phillip, an obese 10-year-old boy with diabetes who just wants “to be like the other guys in my class” Eight Steps in Evaluating Practice Identify the client who defines the goals in the case Select intermediary objectives and their specific targets Identify evidence-based general practice from the literature and evaluation-informed specific practice from working with the client Collect data in an on-going basis and plot data on graphs Construct clear benchmarks to know when the results are (or are not) successful Engage the client in determining if the client’s goals have been attained during intervention Introduce a maintenance phase in which the client is in complete control of  the intervention on his/her own Analyze patterns of data to coordinate with the client’s statements Chapter Summary   Chapter 2: Conceptualization: Naming What We See in the Client Situation A Case Study as Introduction to Conceptualization: Ben and Kat (for Katherine) Washington Goals: Described in terms of concepts, propositions, and theories Objectives and Targets: The aims of our plans of action Empirical Evidence as Bases of Plans of Action Definitions, Operational and Conceptual: Agreeing on the terms of the plan of action Chapter Summary   PART II: MEASUREMENT: ATTACHING NUMBERS TO WAHT WE SEE IN THE CLIENT SITUATION     Chapter 3: The Issues: Measurement Theory; Validity; Reliability; Error Messages; Sustainability                         Measurement Theory: Connecting concepts to the client’s reality Validity Face validity Content validity Criterion validity Construct validity Client validity Reliability Interobserver reliability Test-retest reliability Alternate-forms reliability Internal consistency Error Messages in Measurement Time and Sustainability Chapter Summary   Chapter 4: Graphing: The Basics; Exceptions to the Rules Case Study: Rick Alverez and his “walking support group” Graphing Basics: The Rules Graphing Exceptions to the Rule Using Graphs to Monitor Data and Interpret Outcomes Chapter Summary                       Chapter 5: Information Retrieval:  Finding General Evidence-Based Practice Information Case Study: Finding information on self-efficacy for Rick Alverez Evidence-based General Practice and Information-informed Specific Practice Chapter Summary   Chapter 6: Individualized Rating Scales (IRS) and Structured Logs Introduction to Individualized Rating Scales (IRS): Nature and construction Introduction to Structured Logs: Nature and construction Case Study:  Mr. and Mrs. Angus Ferguson and the issue of continuing care retirement communities Chapter Summary   Chapter 7: Behavioral Observations The Nature of Behaviors Case Study: Evaluating the prevention of unwanted teenage pregnancy at a school health clinic using behavioral observations Methods of Observing Behavior in Others: Principles of seeing Chapter Summary   Chapter 8: Standardized Rating Scales Case Study: Mrs. Cornelia Vanderveen, an older woman in need of protective care My (MB) Experiences in Developing and Testing a Standardized Rating Scale: The Benjamin Rose Institute Protective Care Study Selecting a Standardized Rating Scale for Your Specific Purposes Administering and Scoring a Standardized Rating Scale Advantages and Disadvantages of Standardized Rating Scales Chapter Summary   Chapter 9: Qualitative Data in Single-System Designs: Self-Monitoring The Place of Qualitative Information in a Quantitative World: Self-monitoring The narrative approach Positive psychology and the strengths perspective A New Idea in Single-System Evaluation: Global assessment Case Study: Problems for Ahmed Beddin, a religious man in a foreign culture Chapter Summary   Chapter 10: Measurement Cautions Case Study: Measuring outcomes in a women’s support group Unobtrusive and Non-reactive Measures Archival records Behavioral observations Unobtrusive observations Physical traces Measuring the Impact of the Physical Environment on Client Concerns Ethical Issues (Socio-cultural, Gender, Orientation, Status Issues) Chapter Summary     PART III: EVALUATION BASICS: BASELINES, DESIGNS, ANALYSES, AND DECISION MAKING    Chapter 11: Baselining and the Beginning of Evaluated Practice Case Study: Bullying in the school Baselining: Great possibilities Concurrent Baselining: Possibility fulfilled Reconstructed Baseline: The best we can do under the circumstances Patterns among Baselines in Multiple Graphs A World without Baselines: The emperor’s new clothes Chapter Summary   Chapter 12: AB*M** Design Purpose On Your Mark Some History of the Case Study Logical Changes to Provide Scientific Grounds of Practice Get Set AB designs Strengths of AB designs Limitations of AB designs Go: AB*M** designs Case Study Using an AB*M** Design: Jesse, the runner Chapter Summary                                     Chapter 13: Advanced Designs Introduction to Simplicity in Talking about Complex Subjects ABA Design M added to ABA Design: The ABAM Design ABAB and ABABM Designs Multiple Baseline Designs Multiple Baseline Designs with Maintenance Phases The BAB and BABM Designs: Emergency designs Other Advanced Designs The changing intensity design The alternating intervention design Multiple target design, a fake advanced design: Careful, but keep using M Chapter Summary   Chapter 14: Analysis of Data: A Systemic and Holistic Approach ~ Martin Bloom, Kimberly J. Vannest, John L. Davis, and Preston A. Britner Overview of Six Methods of Analysis Method #1) Analysis Involving Targets: From the client’s perspective Method #2) Client Analysis of Goal Attainment: From the client’s perspective Method # 3) Trend Analysis: What graphed data patterns have to tell us about the course of an intervention Method #4) Analysis Using Non-overlapping Data between Baseline and Intervention: Standing back in order to get closer to underlying abstract entities Method #5) Statistical Analysis  Method #6) Sustained Time Analysis: The test of time Chapter Summary   Chapter 15: Decision Making What is Decision Making? Case Study: The family repercussions of military deployment Chapter Summary