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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
Rausch, Andreas; Schley, Thomas; Warwas, Julia – International Journal of Lifelong Education, 2015
Contemporary office work is becoming increasingly challenging as many routine tasks are automated or outsourced. The remaining problem solving activities may also offer potential for lifelong learning in the workplace. In this study, we analyzed problem solving in an office work setting using an Internet-based, semi-standardized diary to collect…
Descriptors: Problem Solving, Office Occupations, Diaries, Expertise
Niemeijer, A.; Frederiks, B.; Depla, M.; Eefsting, J.; Hertogh, C. – Journal of Intellectual Disability Research, 2013
Background: The demand for (care) services for people with intellectual disabilities (ID) is on the rise, because of an expanding population of people with ID as resources are concurrently diminishing. As a result, service providers are increasingly turning to technology as a potential answer to this problem. However, the use and application of…
Descriptors: Foreign Countries, Mental Retardation, Dementia, Concept Mapping
Scott, George A. – US Government Accountability Office, 2013
The US Government Accountability Office (GAO) began a study to compare English Language Learner (ELL) enrollment in charter schools to ELL enrollment in traditional public schools. For the study, they obtained ELL enrollment counts for school year 2010-11 from the U.S. Department of Education's (Education's) only available dataset containing the…
Descriptors: Charter Schools, English Language Learners, Enrollment Trends, Public Schools
Kinnunen, Paivi; Simon, Beth – Computer Science Education, 2012
This paper discusses two qualitative research methods, phenomenography and grounded theory. We introduce both methods' data collection and analysis processes and the type or results you may get at the end by using examples from computing education research. We highlight some of the similarities and differences between the aim, data collection and…
Descriptors: Grounded Theory, Qualitative Research, Data Collection, Data Analysis
Zacharia, Zacharias C.; Lazaridou, Charalambia; Avraamidou, Lucy – International Journal of Science Education, 2016
The purpose of this study was to examine the impact of mobile learning among young learners. Specifically, we investigated whether the use of mobile devices for data collection during field trips outside the classroom could enhance fourth graders' learning about the parts of the flower and their functions, flower pollinators and the process of…
Descriptors: Foreign Countries, Handheld Devices, Data Collection, Influence of Technology
Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
Baker, Ryan S.; Corbett, Albert T. – Research & Practice in Assessment, 2014
Many university leaders and faculty have the goal of promoting learning that connects across domains and prepares students with skills for their whole lives. However, as assessment emerges in higher education, many assessments focus on knowledge and skills that are specific to a single domain. Reworking assessment in higher education to focus on…
Descriptors: Educational Assessment, Data Collection, Information Retrieval, Learning Processes
Giordano, Bruno L.; Guastavino, Catherine; Murphy, Emma; Ogg, Mattson; Smith, Bennett K.; McAdams, Stephen – Multivariate Behavioral Research, 2011
Sorting procedures are frequently adopted as an alternative to dissimilarity ratings to measure the dissimilarity of large sets of stimuli in a comparatively short time. However, systematic empirical research on the consequences of this experiment-design choice is lacking. We carried out a behavioral experiment to assess the extent to which…
Descriptors: Auditory Stimuli, Acoustics, Data Collection, Research Methodology
DeNome, Evonne C. – Online Submission, 2015
This quantitative study reviews the impact on student achievement following professional development on the principles of formative assessment. The study compared mathematics and reading performance data from student populations with teachers who received training in formative assessment to performance data from student populations with teachers…
Descriptors: Academic Achievement, Faculty Development, Formative Evaluation, Hypothesis Testing
Guskey, Thomas R. – Journal of Staff Development, 2012
Gathering evidence on the outcomes of any professional learning experience can be a challenging and complicated task. It involves consideration of a wide variety of perceptual and contextual issues, some obvious to education leaders and others not. Those who want to succeed in this process may find the following points helpful: (1) Always begin…
Descriptors: Professional Development, Outcomes of Education, Program Evaluation, Evidence
Hilbig, Annemarie; Proske, Antje – Journal of Educational Multimedia and Hypermedia, 2014
Although academic writing is a complex interplay of comprehending and producing text the aspect of collecting information from source texts is hardly addressed in writing research. This study examined the impact of instructions supporting the collection process on writing quality, as well as the role of prior motivation and computer experience.…
Descriptors: Academic Discourse, Writing Assignments, Experimental Groups, Control Groups
Bellocchi, Alberto; King, Donna T.; Ritchie, Stephen M. – International Journal of Science Education, 2016
There is on-going international interest in the relationships between assessment instruments, students' understanding of science concepts and context-based curriculum approaches. This study extends earlier research showing that students can develop connections between contexts and concepts--called "fluid transitions"--when studying…
Descriptors: Comparative Analysis, Student Reaction, Chemistry, Science Education
Pacchiano, Debra M.; Whalen, Samuel P.; Horsley, Heather L.; Parkinson, Kathleen – Society for Research on Educational Effectiveness, 2016
Decades of evidence demonstrates that high-quality, well-implemented early education can positively impact the learning trajectories of vulnerable, high-needs young children. Yet, the majority of publicly-funded programs nationwide struggle to implement to quality standards with fidelity and fail to significantly advance children's early…
Descriptors: Program Effectiveness, Faculty Development, Intervention, Early Childhood Education
Zhuang, Jie; Chen, Peijie; Wang, Chao; Jin, Jing; Zhu, Zheng; Zhang, Wenjie – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to determine which method, individual information-centered (IIC) or group information-centered (GIC), is more efficient in recovering missing physical activity (PA) data. Method: A total of 2,758 Chinese children and youth aged 9 to 17 years old (1,438 boys and 1,320 girls) wore ActiGraph GT3X/GT3X+…
Descriptors: Foreign Countries, Physical Activities, Measurement Equipment, Data Analysis