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Virginia Commonwealth University

Evaluating multiple factors that can be used as skill predictors in software proficiency

Abstract

dc:description.abstract

<p>In this ubiquitous computing society, most students are required to be proficient in computer skills to compete in today’s global job market. These computer skills usually include skills in business productivity applications. Assessing those skills is normally accomplished by hands-on skills exams, which can become onerous and costly. This study explored whether a combination of a computer self-efficacy (CSE) survey, cognitive questions, and skill-based questions could indeed be a valid alternative to a hands-on skills exam. The findings of this study indicate some types of questions may be better predictors of performance on the hands-on skills exam, and some combinations of survey items and questions may be viable alternatives to hands-on skills exams. As a result of this research, schools and companies could adapt these indirect and direct assessments to their situation to perform their own study or assess the skills of their students/employees.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Business
Year dc:date.available
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Larson, Stephen
Contributors dc:contributor
  • Peter Aiken
  • Richard Redmond

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • © The Author

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:scholarscompass.vcu.edu:etd-1244

Chain of custody

source
Harvested from
Virginia Commonwealth University
Base URL
scholarscompass.vcu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Larson, Stephen. Evaluating multiple factors that can be used as skill predictors in software proficiency. Dissertation thesis, 2011. https://doi.org/10.25772/KKCY-6K69