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Sarkar, Saurabh – ProQuest LLC, 2013
In the modern world information has become the new power. An increasing amount of efforts are being made to gather data, resources being allocated, time being invested and tools being developed. Data collection is no longer a myth; however, it remains a great challenge to create value out of the enormous data that is being collected. Data modeling…
Descriptors: Data Analysis, Data Collection, Error of Measurement, Research Problems
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Aliaga, Oscar A.; Kotamraju, Pradeep; Stone, James R., III – High School Journal, 2014
We examine participation in Career and Technical Education (CTE) using a typology that better reflects the CTE credit-taking experience of all public high school students, and it is based on the several changes in academic requirements that all students need to meet in order to graduate, including those considered CTE students. We argue that the…
Descriptors: Participation, Vocational Education, High School Students, Graduation Requirements
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Capitani, Erminio; Rosci, Chiara; Saetti, Maria Cristina; Laiacona, Marcella – Neuropsychologia, 2009
In this study we contrasted the Category fluency and Letter fluency performance of 198 normal subjects, 57 Alzheimer's patients and 57 patients affected by traumatic brain injury (TBI). The aim was to check whether, besides the prevalence of Category fluency deficit often reported among Alzheimer's patients, the TBI group presented the opposite…
Descriptors: Neurological Impairments, Alzheimers Disease, Injuries, Patients
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Baker, Bruce D.; Orr, Margaret Terry; Young, Michelle D. – Educational Administration Quarterly, 2007
Purpose: This article sheds light on some basic questions about the distribution of educational leadership preparation degree programs among different types of institutions and the distribution of advanced degrees, by type, exploring change over time and the relationship to regional labor market estimates. Method: We used data from five major…
Descriptors: Higher Education, Instructional Leadership, Elementary Secondary Education, Research Universities
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Kelly, Ivan; Ryan, Alan – Science Teacher, 1983
Explains the use of contingency tables as a tool in assessing variables to determine whether a relationship exists. Develops an example hypothesis step-by-step, noting the scientific processes and attitudes being addressed. Cautions that a large difference, which suggests a relationship, is not explanation since correlation does not guarantee…
Descriptors: Classification, Data Analysis, Data Collection, High Schools