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Ahmadi, Mohammad; Dileepan, Parthasarati; Wheatley, Kathleen K. – Journal of Education for Business, 2016
This is the decade of data analytics and big data, but not everyone agrees with the definition of big data. Some researchers see it as the future of data analysis, while others consider it as hype and foresee its demise in the near future. No matter how it is defined, big data for the time being is having its glory moment. The most important…
Descriptors: Strategic Planning, Data, Data Analysis, Statistical Analysis
National Centre for Vocational Education Research (NCVER), 2015
Apprentice and trainee data are reported by the State and Territory Training Authorities to National Centre for Vocational Education Research (NCVER) on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred…
Descriptors: Vocational Education, Foreign Countries, Trainees, Data Analysis
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Dean, Chrystal; Silverman, Jason – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2015
In this paper the authors explored the question of collective understanding in online mathematics education settings and presented a brief overview of traditional methods for documenting norms and collective mathematical practices. A method for documenting collective development was proposed that builds on existing methods and frameworks yet is…
Descriptors: Mathematics Education, Online Courses, Documentation, Educational Practices
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Stapleton, Laura M.; McNeish, Daniel M.; Yang, Ji Seung – Educational Psychologist, 2016
Multilevel models are often used to evaluate hypotheses about relations among constructs when data are nested within clusters (Raudenbush & Bryk, 2002), although alternative approaches are available when analyzing nested data (Binder & Roberts, 2003; Sterba, 2009). The overarching goal of this article is to suggest when it is appropriate…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Statistical Data, Multivariate Analysis
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Ingels, Steven J.; Pratt, Daniel J.; Herget, Deborah R.; Dever, Jill A.; Fritch, Laura Burns; Ottem, Randolph; Rogers, James E.; Kitmitto, Sami; Leinwand, Steve – National Center for Education Statistics, 2013
This manual has been produced to familiarize data users with the design, and the procedures followed for data collection and processing, in the base year and first follow-up of the High School Longitudinal Study of 2009 (HSLS:09), with emphasis on the first follow-up. It also provides the necessary documentation for use of the public-use data…
Descriptors: High School Students, Longitudinal Studies, Annual Reports, Followup Studies
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Ingels, Steven J.; Pratt, Daniel J.; Herget, Deborah R.; Dever, Jill A.; Fritch, Laura Burns; Ottem, Randolph; Rogers, James E.; Kitmitto, Sami; Leinwand, Steve – National Center for Education Statistics, 2013
The manual that accompanies these appendices was produced to familiarize data users with the design, and the procedures followed for data collection and processing, in the base year and first follow-up of the High School Longitudinal Study of 2009 (HSLS:09), with emphasis on the first follow-up. It also provides the necessary documentation for use…
Descriptors: High School Students, Longitudinal Studies, Annual Reports, Followup Studies
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Burns, Shelley, Ed.; Wang, Xiaolei, Ed.; Henning, Alexandra, Ed. – National Center for Education Statistics, 2011
Since its inception, the National Center for Education Statistics (NCES) has been committed to the practice of documenting its statistical methods for its customers and of seeking to avoid misinterpretation of its published data. The reason for this policy is to assure customers that proper statistical standards and techniques have been observed,…
Descriptors: National Surveys, Data Processing, Statistical Data, Data Collection
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Maxwell, Joseph A. – Qualitative Inquiry, 2010
The use of numerical/quantitative data in qualitative research studies and reports has been controversial. Prominent qualitative researchers such as Howard Becker and Martyn Hammersley have supported the inclusion of what Becker called "quasi-statistics": simple counts of things to make statements such as "some," "usually," and "most" more…
Descriptors: Qualitative Research, Methods Research, Statistical Data, Data Collection
Harvey, Brian – National Centre for Vocational Education Research (NCVER), 2010
Apprentice and trainee data are reported by the State and Territory Training Authorities to NCVER (National Centre for Vocational Education Research) on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred…
Descriptors: Foreign Countries, Vocational Education, Trainees, Data Analysis
Harvey, Brian – National Centre for Vocational Education Research (NCVER), 2010
Apprentice and trainee data are reported by the state and territory training authorities to the National Centre for Vocational Education and Training (NCVER) on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as collection 1. The sets of data submitted in subsequent quarters are…
Descriptors: Foreign Countries, Vocational Education, Trainees, Data Analysis
National Centre for Vocational Education Research (NCVER), 2010
This publication presents estimates of apprentice and trainee activity in Australia for the December quarter 2009. The figures in this publication are derived from the National Apprentice and Trainee Collection no.63 (March 2010 estimates). There were 414 900 apprentices and trainees in-training as at 31 December 2009, a decrease of 0.6% from the…
Descriptors: Foreign Countries, Trainees, Credentials, Student Characteristics
National Centre for Vocational Education Research (NCVER), 2009
The Standard for Vocational Education and Training (VET) financial data offers a nationally consistent standard for the collection, reporting and analysis of the public vocational education and training system information throughout Australia. It forms part of the Australian Vocational Education and Training Management Information Statistical…
Descriptors: Foreign Countries, Vocational Education, Standards, Financial Policy
Sass, Tim R. – National Center on Scaling Up Effective Schools (NJ1), 2012
The core work of the National Center on Scaling Up Effective Schools consists of four stages: identifying practices of highly effective high schools, designing interventions and transfer of practices, evaluating the intervention's implementation and effects, and evaluating implementation at scale. The purpose of this report is to describe the…
Descriptors: Intervention, Educational Change, High Schools, Research Methodology
Pattison, Sandra; Hargreaves, Jo – National Centre for Vocational Education Research (NCVER), 2009
The National Centre for Vocational Education Research (NCVER) was asked by Technical and Further Education (TAFE) Directors Australia to consider, in a discussion paper for their conference held on the Gold Coast in September 2009, how a "tertiary education" sector impacts on the way people think about research and statistics. While a…
Descriptors: Higher Education, Foreign Countries, Databases, Statistics
State Higher Education Executive Officers, 2012
The State Higher Education Finance (SHEF) report is produced annually by the State Higher Education Executive Officers (SHEEO) to broaden understanding of the context and consequences of multiple decisions made every year in each of these areas. No single report can provide definitive answers to such broad and fundamental questions of public…
Descriptors: Higher Education, Tax Effort, Income, Educational Finance
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