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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
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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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Andrew, Loyd D. – New Directions for Program Evaluation, 1984
A detailed examination of the Higher Education General Information Survey (HEGIS) data base--its content, development, and past and potential uses for researchers--is presented. Because knowledge of the data elements is crucial for successful secondary analysis, procedures for collecting needed information on the data in HEGIS are suggested. (BS)
Descriptors: Data Analysis, Data Collection, Databases, Educational Research
Goldstein, Harvey – Journal of the Royal Statistical Society, Series A (General), 1979
The utility of several longitudinal data analysis models for use with educational attainment are discussed and illustrated on a large data set. Assumptions of the models, choice of scale units, and data transformations, as well as real-life implications are emphasized. (Author/JKS)
Descriptors: Academic Achievement, Analysis of Covariance, Data Analysis, Longitudinal Studies
Jenkins, W. O. – 1967
This paper is an ardent plea for simplifying experimental design and the associated statistics. The emphasis is on design itself. Traditional designs from simple to complex and reviewed and the simplest, most basic ways of handling the data are presented. Design is stressed in such a way that simple statistics follow. The intactness of…
Descriptors: Analysis of Covariance, Analysis of Variance, Behavioral Science Research, Correlation
Banner, James M., Jr. – 1985
When gathering and presenting educational statistics, five principles should be considered. (1) The data must be accurate, valid, and complete. Limitations, weaknesses, margins of error, and levels of confidence should be clearly stated. (2) The data must include comparable information, sought in comparable ways, in comparable forms, from…
Descriptors: Comparative Analysis, Data Analysis, Data Collection, Educational Research
Subkoviak, Michael J. – 1977
Four different procedures were used for estimating the proportion of persons who would be classified consistently as either passing both of two parallel tests or failing both. These four methods were applied at each of four different mastery level scores for each of three different length tests. Data were based on 50 replications of each procedure…
Descriptors: Criterion Referenced Tests, Cutting Scores, Data Analysis, Data Collection
Weisberg, Herbert I; Haney, Walt – 1977
Both administratively and in terms of their evaluations, Head Start and Follow Through have been treated as separate programs. Follow Through was initially conceived, however, as an effort to preserve and augment Head Start gains. In this report, achievement test data on a set of children who participated in both Head Start and Follow Through are…
Descriptors: Academic Achievement, Achievement Gains, Compensatory Education, Data Analysis
Bower, Cathleen – 1975
An iterative least squares procedure for analyzing the effect of various kinds of intervention in time-series data is described. There are numerous applications of this design in economics, education, and psychology, although until recently, no appropriate analysis techniques had been developed to deal with the model adequately. This paper…
Descriptors: Correlation, Data Analysis, Economics, Education
Hackman, Judith Dozier – 1982
Seven potentially useful maxims from the field of human information processing are proposed that may help institutional researchers prepare and present information for higher education decision-makers. The maxims, which are based on research and theory about how people cognitively process information, are as follows: (1) more may not be better;…
Descriptors: Cognitive Processes, Cognitive Style, College Administration, College Planning
Guthrie, James; And Others – 1968
The central purpose of this study was to examine the relationship between distribution of teaching talent and geographic location of local school districts of California. School districts were assigned to one of four geographic categories (urban, suburban, rural, or small urban centers). Each category's teaching talent was assessed on six measures…
Descriptors: Comparative Analysis, Data Analysis, Educational Opportunities, Educationally Disadvantaged
Fowler, William J., Jr.; Monk, David H. – 2001
Efforts to compare the costs of exactly the same things in different geographic regions involve comparisons of the same "market basket" of goods in two geographic areas. Measuring cost differences in education, however, is difficult, since most of the costs are in personnel, rather than in supplies. This publication explains the differences…
Descriptors: Compensation (Remuneration), Cost Effectiveness, Data Analysis, Economic Factors
Austin, Neale W. – 1969
A College Entrance Examination Board (CEEB)-sponsored survey presents data derived from the questionnaire responses of a representative sample of 1,814 secondary school seniors who took the CEEB Latin Achievement Test during the 1965-66 academic year. Written analyses of questionnaire data, along with many supporting graphs and charts, offer…
Descriptors: Charts, Classroom Techniques, Data Analysis, Educational Background
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