Computer-Assisted Experiment Design in Psychology The Need for Efficient Experiment Design Understanding Experiment Design Challenges Limitations of Traditional Experiment Design Methods Introducing Computer-Assisted Experiment Design Benefits of Computer-Assisted Experiment Design Improved Statistical Power and Precision Enhanced Experimental Control and Validity Reduced Time and Resources for Experiment Execution Optimized Participant Recruitment and Allocation Key Considerations in Computer-Assisted Experiment Design Experimental Variables and Hypotheses Identifying Independent and Dependent Variables Establishing Appropriate Control Conditions Minimizing Confounding Factors Designing Data Collection Protocols Selecting Appropriate Outcome Measures Ensuring Ethical Considerations Leveraging Computational Algorithms in Experiment Design Factorial Designs and Response Surface Methodology Adaptive Designs and Sequential Experimentation Bayesian Optimization and Adaptive Randomization Machine Learning Approaches in Experiment Design Case Studies in Computer-Assisted Experiment Design Improving Clinical Trial Design and Efficiency Enhancing Behavioral Intervention Studies Optimizing User Experience Research Integrating Computer-Assisted Design with Existing Workflows Overcoming Challenges and Limitations Ensuring Reproducibility and Transparency Addressing Regulatory Concerns and Best Practices Ethical Considerations in Automated Experiment Design Training and Upskilling Researchers Collaboration between Researchers and Computer Scientists The Future of Computer-Assisted Experiment Design Emerging Trends and Innovations Integrating with Artificial Intelligence and Machine Learning Enhancing Interdisciplinary Collaboration Expanding Applications beyond Psychology Ensuring Responsible and Equitable Implementation Conclusion: Unlocking the Potential of Computer-Assisted Experiment Design

1981- in 2 v.: v.1, Subject index; v.2, Title index, Publisher/title index, Association name index, Acronym index, Key to publishers' and distributors' abbreviations.

Research Methods in Psychology emphasises problem solving and gives thorough coverage of descriptive, experimental and applied methods. This edition includes more than 100 new references to reflect the latest thinking.