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Showing 1 to 15 of 35 results Save | Export
Kates, Earl B. – ProQuest LLC, 2016
Despite significant investments made by organizations to implement ERP systems and prior research that explored contributing factors of ERP failure, the ERP implementation success rate continues to remain low in practice. Increased technology usage in the workplace coupled with higher dependency on technology to complete project tasks often leads…
Descriptors: Management Systems, Information Systems, Information Technology, Program Implementation
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Bergman, Matthew E.; Fass-Holmes, Barry – Journal of International Students, 2016
The authors investigated whether undergraduates attending an American West Coast public university who were not U.S. citizens (nondomestic) maximized their grade point averages (GPA) through their choice of major field. Multiple regression hierarchical linear modeling analyses showed that major field's effect size was small for these…
Descriptors: Undergraduate Students, Majors (Students), Grade Point Average, Multiple Regression Analysis
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McGill, Ryan J.; Busse, R. T. – School Psychology Quarterly, 2015
This study is an examination of the incremental validity of Cattell-Horn-Carroll (CHC) broad clusters from the Woodcock-Johnson III Tests of Cognitive Abilities (WJ III COG) for predicting scores on the Woodcock-Johnson III Tests of Achievement (WJ III ACH). The participants were children and adolescents, ages 6-18 (n = 4,722), drawn from the WJ…
Descriptors: Cognitive Ability, Cognitive Tests, Test Validity, Predictor Variables
Coco, Marlena B. – ProQuest LLC, 2017
The purpose of this study was to analyze factors that predict marijuana use and grade point average among undergraduate college students using the Core Institute national database. The Core Alcohol and Drug Survey was used to collect data on students' attitudes, beliefs, and experiences related to substance use in college. The sample used in this…
Descriptors: Marijuana, Drug Use, Comparative Analysis, Grade Point Average
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Brech, Felicitas M.; Messer, Uwe; Vander Schee, Brian A.; Rauschnabel, Philipp A.; Ivens, Bjoern S. – Journal of Marketing for Higher Education, 2017
Although many universities use social media to interact with stakeholders, little is known about the underlying mechanisms. Drawing on theories of self-presentation and community engagement, we develop a theoretical model to explain these crucial outcome factors. We then test the model based on secondary data from 159 universities. Our findings…
Descriptors: Social Media, Higher Education, Interaction, School Community Relationship
Hale, Ryan C. – ProQuest LLC, 2017
Research on the relationship between socioeconomic status and educational outcomes of students is abundant, but research related to factors that are capable of mediating the effects of poverty on the education of children is lacking. The purpose of this study is to provide a better understanding of such factors. A pilot study using The High School…
Descriptors: Predictor Variables, College Readiness, College Mathematics, Poverty
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Ulmer, Ward; Means, Darris R.; Cawthon, Tony W.; Kristensen, Sheryl A. – Journal of College Student Retention: Research, Theory & Practice, 2016
This study explores whether performance in remedial English and remedial math is a predictor of success in a college-level introduction English or college-level math class; and whether demographic variables increase the likelihood of remedial English and remedial math as a predictor of success in a college-level introduction English or…
Descriptors: Investigations, Remedial Instruction, Remedial Reading, Remedial Mathematics
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Nelson, Jason M.; Lindstrom, Will; Foels, Patricia A. – Journal of Learning Disabilities, 2015
Test anxiety and its correlates were examined with college students with and without specific reading disability (RD; n = 50 in each group). Results indicated that college students with RD reported higher test anxiety than did those without RD, and the magnitude of these differences was in the medium range on two test anxiety scales. Relative to…
Descriptors: Test Anxiety, College Students, Dyslexia, Nonverbal Ability
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Le, Huy; Marcus, Justin – Educational and Psychological Measurement, 2012
This study used Monte Carlo simulation to examine the properties of the overall odds ratio (OOR), which was recently introduced as an index for overall effect size in multiple logistic regression. It was found that the OOR was relatively independent of study base rate and performed better than most commonly used R-square analogs in indexing model…
Descriptors: Monte Carlo Methods, Probability, Mathematical Concepts, Effect Size
McCormick, Kiyan – ProQuest LLC, 2014
Simulated learning experiences using high-fidelity human patient simulators (HPS) are increasingly being integrated into baccalaureate nursing programs. Thus, the purpose of this study was to examine relationships among learning style, critical thinking disposition, critical thinking, and clinical judgment during high-fidelity human patient…
Descriptors: Cognitive Style, Critical Thinking, Personality, Clinical Diagnosis
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Aloe, Ariel M.; Becker, Betsy Jane – Journal of Educational and Behavioral Statistics, 2012
A new effect size representing the predictive power of an independent variable from a multiple regression model is presented. The index, denoted as r[subscript sp], is the semipartial correlation of the predictor with the outcome of interest. This effect size can be computed when multiple predictor variables are included in the regression model…
Descriptors: Meta Analysis, Effect Size, Multiple Regression Analysis, Models
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Avsec, Stanislav; Rihtarsic, David; Kocijancic, Slavko – Journal of Science Education and Technology, 2014
Open learning (OL) strives to transform teaching and learning by applying learning science and emerging technologies to increase student success, improve learning productivity, and lower barriers to access. OL of robotics has a significant growth rate in secondary and/or high schools, but failures exist. Little is known about why many users stop…
Descriptors: Science Instruction, Educational Technology, Robotics, Technology Uses in Education
de Boer, Hester; Donker, Anouk S.; van der Werf, Margaretha P. C. – Review of Educational Research, 2014
This meta-analysis examined the influence of attributes related to the implementation of learning strategy instruction interventions on students' academic performance, and also examined how the attributes related to the method of testing the intervention effects affected the actual effects measured. Using metaregression, we analyzed the…
Descriptors: Meta Analysis, Intervention, Academic Achievement, Learning Strategies
Kim, Rae Seon – ProQuest LLC, 2011
When conducting a meta-analysis, it is common to find many collected studies that report regression analyses, because multiple regression analysis is widely used in many fields. Meta-analysis uses effect sizes drawn from individual studies as a means of synthesizing a collection of results. However, indices of effect size from regression analyses…
Descriptors: Meta Analysis, Effect Size, Multiple Regression Analysis, Error of Measurement
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Crook, Simon J.; Sharma, Manjula D.; Wilson, Rachel – International Journal of Science Education, 2015
Our study capitalized on a unique natural experiment rather than a researcher-designed, randomized experiment whereby, thanks to the Australian Government's Digital Education Revolution, half of grade 9 students in 2008 received laptops and half did not. Consequently in late 2011, when these students sat for their grade 12 external examinations…
Descriptors: High School Seniors, Secondary School Science, Laptop Computers, Access to Computers
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