The Quantitative Area Presents: Gary H. McClelland, Ph.D.

March 2, 2020

12:20PM - 1:30PM

Psychology Building, Room 35

Add to Calendar 2020-03-02 13:20:00 2020-03-02 14:30:00 The Quantitative Area Presents: Gary H. McClelland, Ph.D. Title Talk: "Things I've Learned (So Far) Following Jacob Cohen's Footsteps" Description: Jacob Cohen published in 1990 an interesting paper entitled "Things I've Learned (So Far)" in the American Psychologist. Cohen emphasized the importance of the general linear model, the value of statistical power analysis, the evils of median splits, and the need for better graphics. Although I never met Cohen, I've found myself often following in his footsteps. But he wasn't always an infallible guide. We will examine some errors in his approach to power analysis that is sowing confusion today, see that median splits are even worse than Cohen imagined, and flesh out what his suggestions for better statistical graphs might have been. It will be a light-hearted and graphical trip in Cohen's footsteps. About Gary McClelland Ph.D.: Dr. Gary McClelland is Professor Emeritus of Psychology at the University of Colorado Boulder. His primary research interests are (1) statistical methods and (2) judgment and decision making. He is a founding member of the Society for Judgment and Decision Making (SJDM), a founding fellow of the Association for Psychological Science, and a winner of the American Psychological Association's Jacob Cohen Award for distinguished contributions to teaching and mentoring (with Charles Judd). He has more than 100 scholarly publications (including a graduate-level textbook now in its third edition) and more than 15,000 citations identified by Google Scholar. His methodological work is motivated by issues concerning power analysis in relation to mediation and moderation designs. He has also been successful in the promotion of practical statistical procedures and the development of userfriendly interactive demonstrations for teaching statistical concepts. His JDM work intersects with his methodological interests, and has often focused on aptyl applying statistical methods to study judgment in the contexts of public policy (e.g., environmental valuation, attitudes toward taxation) and marketing (e.g., online shopping and the advantages of using less information). Psychology Building, Room 35 OSU ASC Drupal 8 ascwebservices@osu.edu America/New_York public

Add to Calendar 2020-03-02 12:20:00 2020-03-02 13:30:00 The Quantitative Area Presents: Gary H. McClelland, Ph.D. Title Talk: "Things I've Learned (So Far) Following Jacob Cohen's Footsteps" Description: Jacob Cohen published in 1990 an interesting paper entitled "Things I've Learned (So Far)" in the American Psychologist. Cohen emphasized the importance of the general linear model, the value of statistical power analysis, the evils of median splits, and the need for better graphics. Although I never met Cohen, I've found myself often following in his footsteps. But he wasn't always an infallible guide. We will examine some errors in his approach to power analysis that is sowing confusion today, see that median splits are even worse than Cohen imagined, and flesh out what his suggestions for better statistical graphs might have been. It will be a light-hearted and graphical trip in Cohen's footsteps. About Gary McClelland Ph.D.: Dr. Gary McClelland is Professor Emeritus of Psychology at the University of Colorado Boulder. His primary research interests are (1) statistical methods and (2) judgment and decision making. He is a founding member of the Society for Judgment and Decision Making (SJDM), a founding fellow of the Association for Psychological Science, and a winner of the American Psychological Association's Jacob Cohen Award for distinguished contributions to teaching and mentoring (with Charles Judd). He has more than 100 scholarly publications (including a graduate-level textbook now in its third edition) and more than 15,000 citations identified by Google Scholar. His methodological work is motivated by issues concerning power analysis in relation to mediation and moderation designs. He has also been successful in the promotion of practical statistical procedures and the development of userfriendly interactive demonstrations for teaching statistical concepts. His JDM work intersects with his methodological interests, and has often focused on aptyl applying statistical methods to study judgment in the contexts of public policy (e.g., environmental valuation, attitudes toward taxation) and marketing (e.g., online shopping and the advantages of using less information).  Psychology Building, Room 35 Department of Psychology ASC-psychmainoffice@osu.edu America/New_York public

Title Talk: "Things I've Learned (So Far) Following Jacob Cohen's Footsteps"

Description: Jacob Cohen published in 1990 an interesting paper entitled "Things I've Learned (So Far)" in the American Psychologist. Cohen emphasized the importance of the general linear model, the value of statistical power analysis, the evils of median splits, and the need for better graphics. Although I never met Cohen, I've found myself often following in his footsteps. But he wasn't always an infallible guide. We will examine some errors in his approach to power analysis that is sowing confusion today, see that median splits are even worse than Cohen imagined, and flesh out what his suggestions for better statistical graphs might have been. It will be a light-hearted and graphical trip in Cohen's footsteps.

About Gary McClelland Ph.D.: Dr. Gary McClelland is Professor Emeritus of Psychology at the University of Colorado Boulder. His primary research interests are (1) statistical methods and (2) judgment and decision making. He is a founding member of the Society for Judgment and Decision Making (SJDM), a founding fellow of the Association for Psychological Science, and a winner of the American Psychological Association's Jacob Cohen Award for distinguished contributions to teaching and mentoring (with Charles Judd). He has more than 100 scholarly publications (including a graduate-level textbook now in its third edition) and more than 15,000 citations identified by Google Scholar. His methodological work is motivated by issues concerning power analysis in relation to mediation and moderation designs. He has also been successful in the promotion of practical statistical procedures and the development of userfriendly interactive demonstrations for teaching statistical concepts. His JDM work intersects with his methodological interests, and has often focused on aptyl applying statistical methods to study judgment in the contexts of public policy (e.g., environmental valuation, attitudes toward taxation) and marketing (e.g., online shopping and the advantages of using less information).