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Barra, Cristian; Zotti, Roberto – Tertiary Education and Management, 2017
The main purpose of the paper is to estimate the efficiency of a big public university in Italy using individual student-level data, modeling exogenous variables in human capital formation through a heteroscedastic stochastic frontier approach. Specifically, a production function for tertiary education has been estimated with emphasis on…
Descriptors: Efficiency, School Statistics, Student Records, Information Utilization
Kajitani, Alex – Educational Horizons, 2015
In this article, the author argues that student data is more than just test scores. Alex Kajitani notes that data matter because they provide crucial information to teachers that enable them to better serve their students. Teachers can use data to determine students' strengths and areas of need. The effective use of data means being able to…
Descriptors: Student Records, Scores, Statistical Data, Information Utilization
Lowe, Ramona – ProQuest LLC, 2012
The primary purpose of this study was to provide quantitative data on the use of released Texas Assessment of Knowledge and Skills (TAKS) exams as benchmark test instruments in a sample population. Teachers have expressed concern over "teaching to the test," especially with the use of benchmark testing. This study was specifically…
Descriptors: Standardized Tests, High Stakes Tests, State Standards, Educational Testing
Kot, Felly Chiteng; Jones, Jennifer L. – College & Research Libraries, 2015
This study uses three cohorts of first-time, full-time undergraduate students (N = 8,652) at a large, metropolitan, public research university to examine the impact of student use of three library resources (workstations, study rooms, and research clinics) on academic performance. To deal with self-selection bias and estimate this impact more…
Descriptors: Undergraduate Students, Cohort Analysis, Research Universities, Library Services
Reporting Data with "Over-the-Counter" Data Analysis Supports Increases Educators' Analysis Accuracy
Rankin, Jenny Grant – Online Submission, 2013
There is extensive research on the benefits of making data-informed decisions to improve learning, but these benefits rely on the data being effectively interpreted. Despite educators' above-average intellect and education levels, there is evidence many educators routinely misinterpret student data. Data analysis problems persist even at districts…
Descriptors: Statistical Data, Data Interpretation, Data Analysis, Error of Measurement
Frederick, Karen; Barnard-Brak, Lucy; Sulak, Tracey – International Journal of Research & Method in Education, 2012
There has been a significant increase in the use of secondary data sets. Many such data sets purport to be nationally representative. Secondary data sets include research commissioned by the National Center for Education Statistics, the Centers for Disease Control, and other public entities. Research increasingly utilizes these secondary data in…
Descriptors: Autism, Statistical Analysis, Pervasive Developmental Disorders, Disproportionate Representation

Ware, Glenn O. – Journal of the American Society for Information Science, 1973
A statistical model for characterizing the growth patterns of data base utilization and for estimating future utilization levels of demand has been developed for information retrieval organizations. Illustrations of the model applied to a typical information retrieval organization are given and discussed. (5 references) (Author)
Descriptors: Databases, Information Retrieval, Information Systems, Information Utilization
Pratt, D. B.; And Others – Research/Development, 1978
Reviews pattern recognition techniques of multivariate statistical analysis as a means of data reduction. (SL)
Descriptors: Data Analysis, Data Processing, Information Processing, Information Utilization

Hinkle, Dennis E.; And Others – New Directions for Institutional Research, 1988
The data collected in higher education research are not always quantitative or continuous. Statistical methods using the log-linear model provide the institutional researcher with a powerful set of tools for addressing research questions when data are categorical. (Author/MSE)
Descriptors: Data Interpretation, Higher Education, Information Utilization, Institutional Research
Altonji, Joseph G.; Pierret, Charles R. – 1997
A statistical analysis was performed to test the hypothesis that, if profit-maximizing firms have limited information about the general productivity of new workers, they may choose to use easily observable characteristics such as years of education to discriminate statistically among workers. Information about employer learning was obtained by…
Descriptors: Educational Attainment, Employer Attitudes, Employment Practices, Information Utilization
Altonji, Joseph G.; Pierret, Charles R. – 1997
The relationship between employer learning and statistical discrimination was explored through a statistical analysis that included a test for statistical discrimination or "rational" stereotyping in environments where agents learn over time. The test is used to study the working hypothesis that, because firms have only limited…
Descriptors: Employer Attitudes, Employment Practices, Information Utilization, Models
Luther, Judy – 2000
This paper provides a snapshot of developments in the electronic journal industry. The first section identifies issues affecting librarians and publishers, including: (1) issues of common concern to both publishers and librarians, e.g., lack of comparable data, lack of context, incomplete usage data, marketing, content provided, interface…
Descriptors: Electronic Journals, Guidelines, Information Utilization, Interviews
Starr, Harold; And Others – 1979
This manual is a resource of ideas and suggestions for comprehensive statewide planning of vocational education. It is directed toward both experienced and inexperienced vocational education planners. The data analysis and display techniques presented are useful for producing information for developing state plans and for communicating data-based…
Descriptors: Census Figures, Data Analysis, Demography, Guides
Andrew, Loyd D.; And Others – 1980
An attempt was made to determine who uses data from the Higher Education General Information Survey (HEGIS) and for what purposes. The study objective was to learn if HEGIS is a necessary and useful data base for determining the condition of higher education and developing policy. The quality of the HEGIS data perceived in terms of accuracy,…
Descriptors: Databases, Educational Policy, Higher Education, Information Needs

Firnberg, James W.; Christal, Melodie E. – College and University, 1984
A survey of institutions concerning their reporting of data on the Higher Education General Information Survey and specifically examining the differences in definitions and calculations among reporting institutions, confirmed suspected problems of comparability of information. The impact of these differences on data interpretation is discussed.…
Descriptors: Computation, Data Analysis, Definitions, Federal Government
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