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ERIC Number: ED561434
Record Type: Non-Journal
Publication Date: 2013
Pages: 128
Abstractor: As Provided
Reference Count: N/A
ISBN: 978-1-3034-5305-2
Examining Student Achievement and Interventions for Underprepared Vocational Math Students
Hargens, Diane K.
ProQuest LLC, Ph.D. Dissertation, Iowa State University
Math preparedness is a barrier to completion for many community college vocational students. With President Obama's (2010) challenge to produce more graduates in order to ensure our nation succeeds in the 21st century, community colleges across the country have an increased focus on graduation or completion. This study was conducted to provide guidance to community college administrators, advisors, and faculty as they assist underprepared vocational math students become successful and graduate. This study examined the characteristics of vocational math students who scored as underprepared on a college entrance examination for arithmetic as determined by the community college in this study. These underprepared vocational math students were then categorized into three levels of preparedness based on their entrance exam score and into career cluster areas based on their declared major. Analyses were conducted to examine the differences in the academic success among the three groups of students determined by level of math deficiency and among the career cluster groups based on majors. Finally, this study investigated to what extent the success of underprepared vocational math students could be predicted by student characteristics such as age, gender, socioeconomic status, level of deficiency in math preparedness as well as interventions such as successfully completing a developmental math course, utilizing tutoring services, utilizing computer-aided math software, and participation in a consistent student support program. Using an "ex post facto" quantitative research design and data from underprepared vocational math students enrolled in a midwestern community college from 2007-2012, this study employed descriptive statistics, analysis of variance, multinomial and binomial hierarchical logistic regression analyses. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page:]
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Two Year Colleges; Higher Education; Postsecondary Education; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A