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Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
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- Conditional probabilities (1)
- DePaul College of Communication; Jesus Montero; John Ybarra; Center for Journalism Integrity and Excellence; Health Communication; Elissa Foster; Carol Marin; Don Moseley; Jill Hopke; Media Engagement Research Lab; environmental communication; climate change; journalism (1)
- Individual differences (1)
- Jill O'Brien; Master's in Professional Communication; Judith McCray; Black journalists; Change Agents; Rachel Hinton; Kate Cooper; Networks for Social Impact (1)
- Mental models (1)
- Publication Type
Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Winter 2022
Conversations
Dean's Letter; Remembering Jill O'Brien (1947-2021); Mastering the Art of Professional Communication: A new online master's program helps communications professionals advance their careers; Inclusive Journalism for a Diverse Society: Faculty member Judith McCray aims to deepen the bench of diverse journalists; An Alumna with an Ear for News: Rachel Hinton; Interorganizational Networks for Social Impact: A conversation with Assistant Professor Kate Cooper
Fall 2019
Conversations
The Ethical Pursuit of Excellence: The Center for Journalism Integrity and Excellence prepares students for the real world of journalism; The Talking Cure: A conversation with Elissa Foster about improving communication in health care settings; Captivated Audience: The Media Engagement Research Lab investigates the science of messaging; Communicating Climate Change; Around the College; Accolades; A Great Start in Life: College of Communication alumnus John Ybarra finds a solid foundation in communication; Evolution of a Journalist: Jesus Montero
The Effects Of Diagrams And Relational Complexity On User Performance In Conditional Probability Problems In A Non-Learning Context, Vincent J. Kellen
The Effects Of Diagrams And Relational Complexity On User Performance In Conditional Probability Problems In A Non-Learning Context, Vincent J. Kellen
College of Computing and Digital Media Dissertations
Many disciplines in everyday life depend on improved performance in conditional probability problems. Most adults struggle with conditional probability problems and several prior studies have shown participant accuracy is less than 50%. This study examined user performance when aided with computer-generated Venn and Euler type diagrams in a non-learning context. Despite the prevalence of research into diagrams and extensive research into conditional probability problem solving, this study is one of the only studies to apply theories of working memory to predict user performance in conditional probability problems with diagrams. Following relational complexity theory, this study manipulated problem complexity in computer …