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Lei, Pui-Wa; Li, Hongli – Applied Psychological Measurement, 2013
Minimum sample sizes of about 200 to 250 per group are often recommended for differential item functioning (DIF) analyses. However, there are times when sample sizes for one or both groups of interest are smaller than 200 due to practical constraints. This study attempts to examine the performance of Simultaneous Item Bias Test (SIBTEST),…
Descriptors: Sample Size, Test Bias, Computation, Accuracy
Cai, Xiao – ProQuest LLC, 2013
With the development of PC, internet as well as mobile devices, we are facing a data exploding era. On one hand, more and more features can be collected to describe the data, making the size of the data descriptor larger and larger. On the other hand, the number of data itself explodes and can be collected from multiple resources. When the data…
Descriptors: Data Analysis, Mathematics, Graphs, Regression (Statistics)
Proponents of Creationism but Not Proponents of Evolution Frame the Origins Debate in Terms of Proof
Barnes, Ralph M.; Church, Rebecca A. – Science & Education, 2013
In Study 1, 72 internet documents containing creationism, ID (intelligent design), or evolution content were selected for analysis. All instances of proof cognates (the word "proof" and related terms such as "proven", "disproof", etc.) contained within these documents were identified and labeled in terms of the manner in which the terms were used.…
Descriptors: Evolution, Internet, Qualitative Research, Data Analysis
Nokelainen, Petri; Silander, Tomi – Frontline Learning Research, 2014
This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…
Descriptors: Models, Classification, Accuracy, Regression (Statistics)
Ifenthaler, Dirk; Widanapathirana, Chathuranga – Technology, Knowledge and Learning, 2014
Interest in collecting and mining large sets of educational data on student background and performance to conduct research on learning and instruction has developed as an area generally referred to as learning analytics. Higher education leaders are recognizing the value of learning analytics for improving not only learning and teaching but also…
Descriptors: Data Analysis, Case Studies, Higher Education, Context Effect
Stevenson, Miriam – Journal of Applied Research in Intellectual Disabilities, 2014
Background: There is comparatively little published research that transparently charts the contribution of people with an intellectual disability to a collaborative research process. This paper illustrates the process of data analysis in a project located within the Emancipatory Disability Research (EDR) paradigm. Materials and Methods: Textual…
Descriptors: Data Analysis, Participatory Research, Down Syndrome, Action Research
Bulfin, Scott; Henderson, Michael; Johnson, Nicola F.; Selwyn, Neil – British Journal of Educational Technology, 2014
The academic study of educational technology is often characterised by critics as methodologically limited. In order to test this assumption, the present paper reports on data collected from a survey of 462 "research active" academic researchers working in the broad areas of educational technology and educational media. The paper…
Descriptors: Educational Technology, Surveys, Data Collection, Data Analysis
Henderson, Linda – Contemporary Issues in Early Childhood, 2014
Since early childhood has become the focus of national and supranational political spaces, issues around teacher learning have also gained a firm position in the debates. This has seen the literature on teacher learning largely being positioned within a managerial/alternative dichotomy, arising from a resistance to technical-rationalist discourses…
Descriptors: Early Childhood Education, Participatory Research, Action Research, Preschool Teachers
Arndt, Timothy; Guercio, Angela – International Association for Development of the Information Society, 2014
Recently organizations have begun to realize the potential value in the huge amounts of raw, constantly fluctuating data sets that they generate and, with the help of advances in storage and processing technologies, collect. This leads to the phenomenon of big data. This data may be stored in structured format in relational database systems, but…
Descriptors: Higher Education, College Students, Postsecondary Education, Data Collection
Lesh, Kathryn A. – ProQuest LLC, 2014
Adoption and use of health information technology, the electronic health record (EHR) in particular, has the potential to help improve the quality of care, increase patient safety, and reduce health care costs. Unfortunately, adoption and use of health information technology has been slow, especially when compared to the adoption and use of…
Descriptors: Electronic Publishing, Case Records, Patients, Community Health Services
Grama, Joanna – EDUCAUSE, 2014
This "Just in Time" research is in response to recent discussions on the EDUCAUSE Higher Education Information Security Council (HEISC) discussion list about data breaches in higher education. Using data from the Privacy Rights Clearinghouse, this research analyzes data breaches attributed to higher education. The results from this…
Descriptors: Higher Education, Information Policy, Information Security, Privacy
Thompson, Eleanor Elizabeth – ProQuest LLC, 2014
That organizations face threats to the security of their computer systems from external hackers is well documented. Intentional or unintentional behaviors by organizational insiders can severely compromise computer security as well. Less is known, however, about the nature of this threat from insiders. The purpose of this study was to bridge this…
Descriptors: Information Technology, Information Security, Risk Management, Computers
Arthur Shelley – Sage Research Methods Cases, 2014
The purpose of this case study is to highlight the importance and limitations of methodology and research design in the exploration of highly subjective behavioural research. People are social creatures, and as such, their 'reality' is what they perceive to be true, which can be very difficult to 'prove' (by them or others). Two people can observe…
Descriptors: Behavioral Science Research, Research Methodology, Research Design, Data Analysis
Doabler, Christian T.; Clarke, Ben; Kosty, Derek; Turtura, Jessica E.; Firestone, Allison R.; Smolkowski, Keith; Jungjohann, Kathleen; Brafford, Tasia L.; Nelson, Nancy J.; Sutherland, Marah; Fien, Hank; Maddox, Steven A. – Exceptional Children, 2019
Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…
Descriptors: Mathematics Instruction, Problem Solving, Grade 1, Elementary School Students
Henry, Philip – College and University, 2019
Phillip Henry is a semi-retired former U.K. Registrar and Secretary with almost 40 years' experience in higher education. He has been active in staff development in the United Kingdom (Association of University Administrators, Academic Registrars Council, and Association of Heads of University Administration), in the United States (AACRAO and a…
Descriptors: Academic Achievement, Administrator Attitudes, Educational Experience, College Students

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