精神療法におけるクライアントの変化の測定<br>Measuring Change in Counseling and Psychotherapy

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精神療法におけるクライアントの変化の測定
Measuring Change in Counseling and Psychotherapy

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  • 製本 Hardcover:ハードカバー版/ページ数 303 p.
  • 言語 ENG
  • 商品コード 9781593857202
  • DDC分類 616.8914

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

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