- Oxford Library of Psychology
- [UNTITLED]
- Oxford Library of Psychology
- About The Editor
- Contributors
- Introduction
- The Philosophy of Quantitative Methods
- Quantitative Methods and Ethics
- Special Populations
- Theory Construction, Model Building, and Model Selection
- Teaching Quantitative Psychology
- Modern Test Theory
- The IRT Tradition and its Applications
- Survey Design and Measure Development
- High-Stakes Test Construction and Test Use
- Effect Size and Sample Size Planning
- Experimental Design for Causal Inference: Clinical Trials and Regression Discontinuity Designs
- Matching and Propensity Scores
- Designs for and Analyses of Response Time Experiments
- Observational Methods
- A Primer of Epidemiologic Methods, Concepts, and Analysis With Examples and More Advanced Applications Within Psychology
- Program Evaluation: Principles, Procedures, and Practices
- Overview of Statistical Estimation Methods
- Robust Statistical Estimation
- Bayesian Statistical Methods
- Mathematical Modeling
- Monte Carlo Analysis in Academic Research
- Network Analysis: A Definitional Guide to Important Concepts
- Index
Abstract and Keywords
This chapter provides historical background and a review of the design of response time experiments in psychology and human performance research. It also presents the most common techniques for the analysis of response time data, focusing in particular on parameter estimation and some “meta-theoretic” approaches for testing cognitive architecture.
Keywords: Response Time, Experimental Design, Cognitive Modeling, Data Analysis
Trisha Van Zandt, Department of Psychology, The Ohio State University, Columbus, OH
James T. Townsend, Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN
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- Oxford Library of Psychology
- [UNTITLED]
- Oxford Library of Psychology
- About The Editor
- Contributors
- Introduction
- The Philosophy of Quantitative Methods
- Quantitative Methods and Ethics
- Special Populations
- Theory Construction, Model Building, and Model Selection
- Teaching Quantitative Psychology
- Modern Test Theory
- The IRT Tradition and its Applications
- Survey Design and Measure Development
- High-Stakes Test Construction and Test Use
- Effect Size and Sample Size Planning
- Experimental Design for Causal Inference: Clinical Trials and Regression Discontinuity Designs
- Matching and Propensity Scores
- Designs for and Analyses of Response Time Experiments
- Observational Methods
- A Primer of Epidemiologic Methods, Concepts, and Analysis With Examples and More Advanced Applications Within Psychology
- Program Evaluation: Principles, Procedures, and Practices
- Overview of Statistical Estimation Methods
- Robust Statistical Estimation
- Bayesian Statistical Methods
- Mathematical Modeling
- Monte Carlo Analysis in Academic Research
- Network Analysis: A Definitional Guide to Important Concepts
- Index
