基本説明
Provides a useful overview of the key issues involved in measuring cient change within clinical practice.
Full Description
This book provides researchers, clinicians, and students with a useful overview of measuring client change in clinical practice. It reviews the history, conceptual foundations, and current status of trait- and state-based assessment models and approaches, exploring their strengths and limitations for measuring change across therapy sessions. Meier shows how to effectively interpret and use measurement and assessment data to improve treatment evaluation and clinical care. A series of exercises guides the reader to gather information about particular tests and evaluate their suitability for intended testing purposes.
Contents
1. Introduction and Rationale
 Contemporary Psychological Testing
 Contemporary Psychotherapy Research and Practice
 The Implications of Research Stuckness for Clinical Practice
 Summary and Conclusions
2. A History of Traits
 The Seeds of Conflict
 The Desire to Be Scientific
 The Model of Physiology
 Biology and Individual Differences
 The Desire to Be Relevant
 The Need for Classification
 The Consequences of the Adoption of a Trait-Based Measurement Paradigm
 Loss of Experimental Methods Inhibits Recognition of Method Variance
 The Gain of Traits and Loss of Situations
 Handling Error with Classical Test Theory
 Statistics Related to Measurement
 Assessment as a Complement to Measurement
 Deemphasizing Measurement Theory
 Loss of Precision
 The Wisdom and Tyranny of Tradition
 The Success and Failure of the Market
 Summary and Implications
3. Reliability, Validity, and Systematic Errors
 Introduction
 Thinking about Reliability and Validity
 Types of Validity
 Constructs, Theories, and Valid Measurement
 Construct Explication
 Multitraitâ€"Multimethod Matrices: Investigating the Effects of Method Variance on Validity
 Campbell and Fiske
 Criteria for Construct Validity
 An MTMM Example
 Problems with Campbell and Fiske's approach
 The Factor Analytic Approach to Construct Validity
 History of Self-Report and Interview Errors
 Self-Reports
 Interviews and Observational Methods
 Measurement Error
 Systematic Errors Associated with Self-Reports
 Dissimulation and Malingering
 Social Desirability
 Systematic Errors Associated with Ratings by Others
 Halo Errors
 Leniency and Criticalness Errors
 Causes of Inconsistency
 Cognitive Influences
 Item Comprehension Problems
 Test Cues
 Low Cognitive Ability
 Affective and Motivational Influences
 Test Anxiety
 Negative Emotional States
 Environmental and Cultural Influences
 Reactivity
 Stereotype Threat
 Summary and Implications
4. States, Traits, and Validity
 Introduction
 History
 The Controversy of Mischel and Peterson: The Benefits of Conflict
 The Rejection of Traits: Behavioral Assessment
 Reinforcing the Trait Argument
 Personâ€"environment Interactions
 Aptitude-by-Treatment Interactions
 Environmental Assessment
 Moderators of Cross-Situational Consistency
 Summary and Integration
5. Context Effects and Validity
 Introduction
 Understanding Inconsistency: Clues from Psychophysics Measurement
 The Limitations of Psychophysical Measurement
 Conclusions and Implications from Psychophysical Research
 Improving the Principles of Construct Explication
 Test Purpose
 Test Content
 Test Context
 Shared Contexts and Method Variance
 Applications
 Recommendations Related to Test Purpose
 Recommendations Related to Test Content
 Recommendations Related to Test Contexts
 Summary and Implications
6. Nomothetic Approaches to Measuring Change and Influencing Outcomes
 History and Background
 Examples of Nomothetic Measures
 Beck Depression Inventory
 Stateâ€"Trait Anxiety Inventory
 Global Assessment of Functioning
 Outcome Questionnaire
 Psychometric Principles and Nomothetic Measures
 Reliability of Nomothetic Measures
 Validity
 Applications
 Creating Change-Sensitive Measures
 Psychometric Properties of Aggregate Scales
 Using Change-Sensitive Tests in Program Evaluations
 An Evidence-Based Approach to Supervision
 Summary and Integration
7. Idiographic Approaches to Measuring Change and Influencing Outcomes
 History and Background
 Psychometric Principles and Idiographic Measures
 Reliability of Idiographic Measures
 Validity of Idiographic Measures
 Applications
 Begin with the Case Conceptualizatio

              
              
              

