How Random Noise and a Graphical Convention Subverted Behavioral Scientists' Explanations of Self-Assessment Data: Numeracy Underlies Better Alternatives
Despite nearly two decades of research, researchers have not resolved whether people generally perceive their skills accurately or inaccurately. In this paper, we trace this lack of resolution to numeracy, specifically to the frequently overlooked complications that arise from the noisy data produce...
Main Authors: | Edward Nuhfer, Steven Fleisher, Christopher Cogan, Karl Wirth, Eric Gaze |
---|---|
Format: | Article |
Language: | English |
Published: |
National Numeracy Network
2017-01-01
|
Series: | Numeracy |
Subjects: | |
Online Access: | http://scholarcommons.usf.edu/numeracy/vol10/iss1/art4/ |
Similar Items
-
Random Number Simulations Reveal How Random Noise Affects the Measurements and Graphical Portrayals of Self-Assessed Competency
by: Edward Nuhfer, et al.
Published: (2016-01-01) -
Clinician Numeracy: Use of the Medical Interpretation and Numeracy Test in Foundation Trainee Doctors
by: Anne A. Taylor, et al.
Published: (2017-07-01) -
Paired Measures of Competence and Confidence Illuminate Impacts of Privilege on College Students
by: Rachel Watson, et al.
Published: (2019-07-01) -
Clinician Numeracy: The Development of an Assessment Measure for Doctors
by: Anne A. Taylor, et al.
Published: (2016-01-01) -
Measuring Numeracy in a Community College Context: Assessing the Reliability of the Subjective Numeracy Scale
by: Kate S. Wolfe, et al.
Published: (2017-07-01)