This text provides a concrete roadmap for the design and implimentation of experiments using human participants. It covers both conceptual and practical issues that are critical to experimental methods and the organization of the book follows the standard process in experiment-based research.
Both students and instructors will find this book accessible and easy to use. The detailed guidance on each step of an experiment is particularly useful for people with little or no previous training in research methodology. Further, the example studies will serve as effective 'recipes' to help students organize their experimental studies.
Features:
- shows students how to prepare to run experiments covering important topics such as how to recruit participants, maintainance of apparatus, and what to measure from the experiment
- a separate chapter on ethics examines ethical considerations necessary for running experiments with human participants
- a separate chapter covers essential information on IRBs (Institutional Review Boards)
- provides example studies with a brief synopsis of procedural steps. so that students can learn detailed procedures for preparing and running an experiment.
His papers on modeling have won awards; one on high level languages with St. Amant was selected for the "Siegel-Wolf Award for best applied modeling paper" at the International Conference on Cognitive Modeling, and four have won awards at the BRIMS conference. He currently edits the Oxford Series on Cognitive Models and Architectures for Oxford University Press. He serves on the editorial boards of Cognitive Systems Research, Human Factors, and IEEE SMC, Part A: Systems and Humans.
1. Introduction
2. Preparation For Running Experiments
3. Potential Ethical Problems
4. Risks to Validity to Avoid While Running an Experiment
5. Running a Research Session
6. Concluding a Study
Appendix 1: A Checklist for Preparing Studies
Appendix 2: Example Scripts for Running Studies
Appendix 3: Example Consent Form
Appendix 4: Example Debriefing Form
Appendix 5: Example Institutional Review Board Application
Appendix 6: Considerations When Running a Study Online
This text provides a concrete roadmap for the design and implimentation of experiments using human participants. It covers both conceptual and practical issues that are critical to experimental methods and the organization of the book follows the standard process in experiment-based research.
Both students and instructors will find this book accessible and easy to use. The detailed guidance on each step of an experiment is particularly useful for people with little or no previous training in research methodology. Further, the example studies will serve as effective 'recipes' to help students organize their experimental studies.
Features:
- shows students how to prepare to run experiments covering important topics such as how to recruit participants, maintainance of apparatus, and what to measure from the experiment
- a separate chapter on ethics examines ethical considerations necessary for running experiments with human participants
- a separate chapter covers essential information on IRBs (Institutional Review Boards)
- provides example studies with a brief synopsis of procedural steps. so that students can learn detailed procedures for preparing and running an experiment.
His papers on modeling have won awards; one on high level languages with St. Amant was selected for the "Siegel-Wolf Award for best applied modeling paper" at the International Conference on Cognitive Modeling, and four have won awards at the BRIMS conference. He currently edits the Oxford Series on Cognitive Models and Architectures for Oxford University Press. He serves on the editorial boards of Cognitive Systems Research, Human Factors, and IEEE SMC, Part A: Systems and Humans.
1. Introduction
2. Preparation For Running Experiments
3. Potential Ethical Problems
4. Risks to Validity to Avoid While Running an Experiment
5. Running a Research Session
6. Concluding a Study
Appendix 1: A Checklist for Preparing Studies
Appendix 2: Example Scripts for Running Studies
Appendix 3: Example Consent Form
Appendix 4: Example Debriefing Form
Appendix 5: Example Institutional Review Board Application
Appendix 6: Considerations When Running a Study Online
1. Introduction
2. Preparation For Running Experiments
3. Potential Ethical Problems
4. Risks to Validity to Avoid While Running an Experiment
5. Running a Research Session
6. Concluding a Study
Appendix 1: A Checklist for Preparing Studies
Appendix 2: Example Scripts for Running Studies
Appendix 3: Example Consent Form
Appendix 4: Example Debriefing Form
Appendix 5: Example Institutional Review Board Application
Appendix 6: Considerations When Running a Study Online
Frank Ritter is a professor of Information Sciences and Technology
and of Psychology at Penn State. He received his PhD from CMU and
BSEE from UIUC. He teaches courses on human-computer interaction
and cognitive science. His research interests include models
of learning and experiments to measure learning and retention. He
co-wrote Running behavioral studies with human participants: A
practical guide, which this report builds upon. He also wrote
Foundations for designing user centered systems: What psychology do
system designers need to know with Baxter and Churchill, Building
better interfaces for remote autonomous systems with Oury, and
recently as a response to the pandemic, Skills to Obstruct
Pandemics, with a team of ten co-authors, which is also available
as a free online tutor, http://StopTheSpread.health .
Jong W. Kim is a research faculty member in the Department of
Psychology at the University of Central Florida. He received his
Ph.D. in the Department of Industrial Engineering at the
Pennsylvania State University. His academic pursuit is to improve
cognitive systems supporting optimized user performance. To that
end, he runs experiments with human subjects and models human
cognition. His recent research, sponsored by Office of Naval
Research, has investigated skill learning and forgetting, and he
has developed a theory of skill retention that is being applied to
a couple of intelligent tutoring systems. Current research projects
focus on the influence of affect on the three stages of learning by
an understanding of non-vocal expressions. Particularly, he is
interested in helping autistic children learn social communication
skills with human-centered computer systems. Jonathan Morgan is a
research assistant and lab manager for Penn State’s Applied
Cognitive Science (ACS) lab, where he manages people running
studies about learning, retention, and usability. Morgan has
published in Computational and Mathematical Organization Theory,
received two paper awards from the Behavior Representation in
Modeling and Simulation (BRIMS) conference committee, and
co-authored papers published in the proceedings of the annual
conference of the Cognitive Science Society, the International
Conference on Cognitive Modeling (ICCM), and the annual conference
of the Biologically Inspired Cognitive Architectures (BICA)
society. He has also contributed to the design, development, and
testing of two tutors. His current research includes modeling
socio-cognitive processes and examining the acquisition of
procedural knowledge in complex tasks. Richard Carlson is Professor
of Psychology at Penn State University, where he has been on the
faculty for 27 years. He received his B.S.S. from Cornell College
and his Ph.D. from the University of Illinois. He conducts
experiments examining cognitive control, cognitive skill, and
conscious awareness, focusing on control at the time scale of one
second or less. Previous research has addressed topics such as
causal thinking, the development of troubleshooting skill, task
switching, the role of gesture in mental arithmetic, and the
structure of conscious intentions. Current research projects focus
on the role of affect in working memory and cognitive control, the
effect of cognitive workload on metacognition, and on changes in
metacognition with increasing skill. He has published in journals
such as Journal of Experimental Psychology: Learning, Memory, and
Cognition, Memory & Cognition, and Human Factors. His book,
Experienced Cognition (1998), which described a theory of
consciousness and cognitive skill, won a Choice Outstanding
Academic Book award.
Professor Carlson currently serves as Associate Head and Director
of Undergraduate Studies in Penn State′s Department of Psychology.
He is the founding coordinator of the Department′s online
psychology major. In 2009, he received an Outstanding Faculty
Adviser award. He serves on the editorial boards of the Journal of
Experimental Psychology: Learning, Memory, and Cognition, Behavior
Research Methods, and The American Journal of Psychology. He is a
fellow of the APA. His website is
http://psych.la.psu.edu/directory/faculty-bios/carlson.html
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