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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 42 results
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Threeton, Mark D.; Walter, Richard A.; Evanoski, Daniel C. – Career and Technical Education Research, 2013
In an effort to provide further insight into the individual education needs of learners within the trade and industry sector of Career and Technical Education (CTE), the authors (a) sought to identify the predominant personality type and learning style distribution of postsecondary automotive technology students, as well as (b) evaluate whether…
Descriptors: Cognitive Style, Personality Traits, Educational Needs, Vocational Education
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Spindler, Matt; Greiman, Bradley C. – Career and Technical Education Research, 2013
The integration of career and technical education (CTE) and academic curricular content represents a challenge for CTE professionals. Currently, little is known about the process of integrating science into secondary CTE programs. Grounded theory method was employed to create information about CTE teachers' perspectives of and experiences…
Descriptors: Vocational Education, Vocational Education Teachers, Science Education, Integrated Curriculum
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Fletcher, Edward C., Jr. – Career and Technical Education Research, 2012
Sparked by the current economic situation in the U.S., policymakers have begun to shift their concern from solely concentrating on the preparation of students for college to preparing them for the workforce as well. Thus, it is time for CTE to understand its impact on students' long-term trajectories. The purpose of this study was to predict…
Descriptors: Employment Level, Vocational Education, Secondary School Curriculum, Education Work Relationship
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Fletcher, Edward C., Jr. – Career and Technical Education Research, 2012
The purpose of this study was to predict occupational choices based on demographic variables and high school curriculum tracks. Based on an analysis of the 1997 National Longitudinal Survey of Youth (NLSY) data set that examined high school graduates' occupational choices in 2006, findings indicated that CTE graduates were 2.7 times more likely to…
Descriptors: Career Choice, High School Graduates, STEM Education, Social Influences
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Wilson, John S., II; Parr, Brian A.; Parr, Kemaly S. – Career and Technical Education Research, 2012
The purpose of this study was to determine the perceptions of students enrolled in a Career and Technical teacher education program through distance delivery with respect to effectiveness of delivery methods and negative aspects associated with participating in distance education courses. The study was also designed to determine the preferred…
Descriptors: Program Effectiveness, Teaching Methods, Teacher Education Programs, Distance Education
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Lane, Forrest C.; To, Yen M.; Shelley, Kyna; Henson, Robin K. – Career and Technical Education Research, 2012
Researchers may be interested in examining the impact of programs that prepare youth and adults for successful careers but unable to implement experimental designs with true randomization of participants. As a result, these studies can be compromised by underlying factors that impact group selection and thus lead to potentially biased results.…
Descriptors: Vocational Education, Educational Research, Research Methodology, Research Design
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Nimon, Kim – Career and Technical Education Research, 2012
Using state achievement data that are openly accessible, this paper demonstrates the application of hierarchical linear modeling within the context of career technical education research. Three prominent approaches to analyzing clustered data (i.e., modeling aggregated data, modeling disaggregated data, modeling hierarchical data) are discussed…
Descriptors: Vocational Education, Educational Research, Hierarchical Linear Modeling, Multivariate Analysis
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Maguire, Kenneth J.; Starobin, Soko S.; Laanan, Frankie Santos; Friedel, Janice N. – Career and Technical Education Research, 2012
In this study specific factors were examined to determine their ability to influence fifth-year earnings of community college students in the Manufacturing/Science, Technology, Engineering and Math (STEM) career cluster and the Arts/Audiovisual/Technology/ Communication career cluster. State and national data sets from Iowa's Management…
Descriptors: Vocational Education, Community Colleges, College Students, Economic Status
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Rojewski, Jay W.; Lee, In Heok; Gemici, Sinan – Career and Technical Education Research, 2012
Use of t-tests and analysis of variance (ANOVA) procedures in published research from three scholarly journals in career and technical education (CTE) during a recent 5-year period was examined. Information on post hoc analyses, reporting of effect size, alpha adjustments to account for multiple tests, power, and examination of assumptions…
Descriptors: Vocational Education, Educational Research, Research Methodology, Statistical Analysis
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Zientek, Linda Reichwein; Ozel, Z. Ebrar Yetkiner; Ozel, Serkan; Allen, Jeff – Career and Technical Education Research, 2012
Confidence intervals (CIs) and effect sizes are essential to encourage meta-analytic thinking and to accumulate research findings. CIs provide a range of plausible values for population parameters with a degree of confidence that the parameter is in that particular interval. CIs also give information about how precise the estimates are. Comparison…
Descriptors: Vocational Education, Effect Size, Intervals, Self Esteem
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Lee, In Heok – Career and Technical Education Research, 2012
Researchers in career and technical education often ignore more effective ways of reporting and treating missing data and instead implement traditional, but ineffective, missing data methods (Gemici, Rojewski, & Lee, 2012). The recent methodological, and even the non-methodological, literature has increasingly emphasized the importance of…
Descriptors: Vocational Education, Data Collection, Maximum Likelihood Statistics, Educational Research
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Israel, Glenn D.; Myers, Brian E.; Lamm, Alexa J.; Galindo-Gonzalez, Sebastian – Career and Technical Education Research, 2012
Career and Technical Education programs include over 9.2 of the nation's 14.9 million secondary students. Although STEM and health CTE programs are thought to contribute to students' achievement in science, previous studies also suggest that agricultural and natural resources programs can aid students in making connections between agricultural…
Descriptors: Vocational Education, Science Achievement, Secondary School Students, Grade 11
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Githens, Rod Patrick; Sauer, Timothy M.; Crawford, Fashaad L.; Wilson, Kristin B. – Career and Technical Education Research, 2012
This study examined the current state of online occupational programs in community colleges and explored issues related to institutional, economic, and social indicators that influence (a) the offering of online programs and (b) the programmatic connection to workforce development needs. The study is based on a random sample of 321 institutions in…
Descriptors: Community Colleges, Electronic Learning, College Programs, Online Courses
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Gemici, Sinan; Rojewski, Jay W.; Lee, In Heok – Career and Technical Education Research, 2012
Most quantitative analyses in workforce education are affected by missing data. Traditional approaches to remedy missing data problems often result in reduced statistical power and biased parameter estimates due to systematic differences between missing and observed values. This article examines the treatment of missing data in pertinent…
Descriptors: Research Methodology, Statistical Analysis, Data Collection, Pattern Recognition
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Mellard, Daryl F.; Woods, Kari L.; Desa, Deana Md. – Career and Technical Education Research, 2012
High literacy and numeracy demands in career and technical education (CTE) compared to low skill levels among many students prompted calls for academic infusion into training curricula. Research on CTE academic curriculum integration implicitly assumes that students' reading and math skills are like those described by models of typical academic…
Descriptors: Academic Education, Functional Reading, Vocational Education, Curriculum Development
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