Table of contents for Psychological testing : a practical approach to design and evaluation / Theresa J.B. Kline.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.

[Page v, Begin TOC.]
Preface	000
Chapter 1: The Assessment of Individuals: The Critical Role and Fundamentals of Measurement	000
Measurement in the Physical Sciences
Measurement in the Social Sciences
Historical Highlights of Measurement
Statistics Background
Scales of Measurement
The Normal Distribution
Probability and Statistical Significance
Sampling Distributions
Linear Regression
Score Meaning
The First Step: Identifying the Construct
Links Between Constructs
Construct Cleanliness
Single versus Multiple Constructs
Summary and Next Step
Problems and Exercises
Chapter 2: Designing and Writing Items
Empirical, Theoretical and Rational Approaches to Item
Literature Search
Subject Matter Experts
How Many Items?
Attitudinal Items: Early Work in Item Generation
Paired Comparisons
Items in Ranked Categories
Items in Interval-Level Categories
Guttman Scales
Assessing Behaviors
Critical Incident Technique
Pilot Testing
Summary and Next Step
Problems and Exercises
Chapter 3: Designing and Scoring Responses
Open-Ended Responses
Closed-Ended Questions
Example 1: Proportional Differences for a Single Variable
Example 2: Proportional Differences for Two Variables
Dichotomous Responses
Multiple Choice Tests
Speeded and Power Tests
Omitted and Partial Credit
Continuous Responses
Summated Rating Scales
Variations and Issues with Likert Scales
Other Types of Continuous Response Scales
Intensity versus Frequency Likert-Type Scales
Ipsative versus Normative Scales
Difference and Change Scores
Summary and Next Step
Problems and Exercises
Chapter 4: Collecting Data: Sampling and Screening
Probability Sampling
Non-Probability Sampling
Sample Sizes
Missing Data
Preparing to Analyze Your Data
Summary and Next Step
Problems and Exercises
Chapter 5: Classical Test Theory: Assumptions, Equations, Limitations and Item Analyses
Classical Test Theory
Theory of True and Error Scores: Description and Assumptions
Ramifications and Limitations of Classical Test Theory Assumptions
Item Analysis within CTT: Approaches, Statistical Analyses, and Interpretation
Descriptive Statistics
Difficulty Level
Discrimination Index
Using P-Levels to Plot Item Curves
Item-to-total correlations
Item-to-Criterion Correlations
Inter-Item and Item-to-Criterion Paradox
Differential Item Weighting
Problems and Exercises
Chapter 6: Modern Test Theory: Assumptions, Equations, Limitations and Item Analyses
Modern Test Theory
One-Parameter Logistic Model
Two-Parameter Logistic Model
Three-Parameter Logistic Model
Multiple-response IRT Models
Nominal Responses
Graded Responses
Partial Credit Responses
Parameter Estimation
Maximum Likelihood Estimation
Bayesian Estimation
Scoring Respondents
Model Fit
Ramifications of the Assumptions of Modern Test Theory
Practical Advantages of Modern Test Theory
Limitations of Modern Test Theory
Computer Programs
Practical Considerations
Next Steps
Problems and Exercises
Chapter 7: Reliability of Test Scores and Test Items
Test-retest Reliability
Alternative Forms Reliability
Measures of Internal Consistency
Cronbach?s alpha (?)
Coefficient Theta (?)
Kuder-Richardson 21 (KR21)
Setting Confidence Intervals
Reliability of a Composite
Difference Scores?A Reliability Concern
Practical Questions
Summary and Next Steps
Problems and Exercises
Chapter 8: Reliability of Raters
Inter-Rater Reliability Indices
Observer Agreement Percentage
Interobserver Correlations
Kendall?s Coefficient of Concordance
Cohen?s Kappa Coefficient
Generalizability Theory and the Intraclass Correlation Coefficient
Reliability Generalization
Modern Test Theory Approaches to Reliability
Summary and Next Steps
Problems and Exercises
Chapter 9: Assessing Validity Using Content and Criterion Methods
Asking the Test Takers
Asking the Subject Matter Experts
Assessments Using Correlation and Regression: Criterion-Related Studies
Convergent/Divergent Assessment
Upper Bounds of Validity and Correction for Unreliability
Range Restriction and Correction
Making Decisions: Cutoffs and the Roles of the Standard Error of Estimate and the Standard Error of Measurement
Multiple Criteria
Classification Approaches to Test Score Validation
Predictive Accuracy with a Dichotomous Predictor and Criterion
Discriminant Function Analysis
Group Differences and Test Bias
Extending the Inferences of Criterion-Related Validity Studies
Validity Generalization
Synthetic Validity
Problems and Exercises
Chapter 10: Assessing Validity Via Item Internal Structure
Principal Components Analysis
Common Factor Analysis
Common Factor Analysis using Analysis of Covariance Structures
Some Other Issues in Factor Analysis
Practical Issues
Concluding Comments on Internal Structure and Validity
Threats to the Validity of Scores
Multitrait-Multimethod Assessment
Closing Comments on Test Score Validity
Problems and Exercises
Chapter 11: Ethics and Professional Issues in Testing
Professional Standards and Guidelines
Ethical Procedures and Protocols
Test Administration
Integrity Testing
Computerized Testing
Coaching, Testwiseness, and Re-takes
Testing Legislation
Test Item Bias and Adverse Impact
à2 Approach to Item Bias Assessment.
Item bias detection using IRT.
Translation Issues
Electronic Presentation and Capture
Problems and Exercises
Chapter 12: Brief Reviews of Some Selected Tests and Concluding Comments
Information about Existing Tests
Some Intelligence Tests
Stanford-Binet Intelligence Tests
Wechsler Intelligence Scales
Academic Achievement Tests
Scholastic Assessment Tests (SAT)
Graduate Record Examination.
Structured Personality Tests
California Psychological Inventory
NEO Personality Inventory.
Career Interest/Guidance Instruments
Strong Inventories
Self-Directed Search
Chapter Summary
A Quick Book Review
Concluding Comments
Problems and Exercises
Unit Normal (z) Distribition
Critical Values of the Pearson Product-Moment Correlation Coefficient
Critical Values of the F-Distributions
Critical Values of the t-Distributions
Critical Values of the Chi-Square Distributions
Critical Values of the Spearman Rho Correlation Coefficient

Library of Congress Subject Headings for this publication:

Psychological tests.