Finding That College Students Cluster in Majors Based on Differing Patterns of Spatial Visualization and Language Processing Speeds
Year: 2014
Type: article
Study design: Observational Study
Abstract: For over 30 years, researchers such as Eisenberg and McGinty have investigated the relationship between 3-D visualization skills and choice of college major. Results of the present study support the fact that science and math majors tend to do well on a measure of 3-D visualization. Going beyond these earlier studies, the present study investigated whether a measure of Rapid Automatic Naming of Objects—which is normally used to screen for elementary school students who might struggle with speech, language, literacy, and numeracy—would further differentiate the choice of majors by college students. Far more research needs to be conducted, but results indicated that college students differentially clustered in scatterplot quadrants defined by the two screening assessments. Furthermore, several of these clusters, plus a statistical multiplier, may lead to a new understanding of students with phonological processing differences, learning disabilities, and speech and language impairments.
Source: SAGE Open
Authors: Richard M. Oldrieve, Cynthia Bertelsen
Institutions: Cleveland State University, Bowling Green State University
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $1,600
OpenAlex ID: W2166696129