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Liu, Qin – Association for Institutional Research, 2012
This discussion constructs a survey data quality strategy for institutional researchers in higher education in light of total survey error theory. It starts with describing the characteristics of institutional research and identifying the gaps in literature regarding survey data quality issues in institutional research and then introduces the…
Descriptors: Institutional Research, Higher Education, Quality Control, Researchers
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2013
The 2012 edition of the "Digest of Education Statistics" is the 48th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: School Statistics, Definitions, Tables (Data), Longitudinal Studies
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2012
The 2011 edition of the "Digest of Education Statistics" is the 47th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: Educational Research, Data Collection, Data Analysis, Error Patterns
Liu, Qin – Online Submission, 2009
This paper intends to construct a survey data quality strategy for institutional researchers in higher education in light of total survey error theory. It starts with describing the characteristics of institutional research and identifying the gaps in literature regarding survey data quality issues in institutional research. Then it is followed by…
Descriptors: Higher Education, Institutional Research, Quality Control, Researchers
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Christal, Melodie E. – 1985
Problems with finance data reported through the Higher Education General Information Survey (HEGIS) are reported. Less than one percent of institutions appear to have reported incorrect data for the fiscal year (FY) 1983 finance survey. One reporting problem concerns state appropriations that are radically different in previous years or that are…
Descriptors: Contracts, Data Collection, Error Patterns, Grants

Ashworth, Gregory J. – Journal of Geography in Higher Education, 1983
The accuracy of data collected by Dutch geography students in a field study of commercial activities in a French city was monitored with data available from official lists. The causes of error, both in student work and official sources, and some lessons for future field work are examined. (Author/IS)
Descriptors: Comparative Education, Data Collection, Educational Research, Error Patterns

Schwarzmueller, E. Beth; Pounds, Haskin R. – Research in Higher Education, 1984
Some of the errors associated with use of data from the National Center for Education Statistics' Higher Education General Information Survey (HEGIS) are described, 1980 HEGIS and census reports of college enrollment are compared in tables of data, and a more cautious use of HEGIS data is recommended. (MSE)
Descriptors: Data Collection, Databases, Educational Research, Enrollment Rate
Russ-Eft, Darlene F.; Brandt, David A. – 1982
Error profiles for the Fall Enrollment Survey of the Higher Education General Information Survey (HEGIS) were developed as part of an assessment of the quality of survey data. Three statistics were of particular interest: the count of full-time equivalent students, the breakdown by race/ethnicity, and the count of unclassified students. Attention…
Descriptors: Data Analysis, Data Collection, Enrollment Trends, Error Patterns
Merceron, Agathe; Yacef, Kalina – Journal of Interactive Learning Research, 2004
In this article we describe the initial investigations that we have conducted on student data collected from a web-based tutoring tool. We have used some data mining techniques such as association rule and symbolic data analysis, as well as traditional SQL queries to gain further insight on the students' learning and deduce information to improve…
Descriptors: Computer Uses in Education, Logical Thinking, Internet, Data Analysis
Smith, Constance K.; Waggener, Anna T. – 1992
Two studies were conducted at the Southeastern Louisiana University (SLU) to determine possible uses of errors and omissions on surveys of incoming and freshmen college students. The subjects of the first study were 1,927 individuals who had applied for admission to SLU and attended freshman orientation in the summer of 1989. Blanks and incorrect…
Descriptors: Academic Achievement, Academic Persistence, College Applicants, College Freshmen
Gillmore, Gerald M.; And Others – 1976
Generalizability theory is described and applied to data collection methods for student ratings of instruction. Three generalizability coefficients (generalizing over both students and items, generalizing over students only, and generalizing over items only) are defined, and the appropriateness of each for various purposes is discussed.…
Descriptors: Analysis of Variance, College Faculty, College Students, Course Evaluation
Gorard, Stephen; Smith, Emma – International Journal of Lifelong Education, 2006
This article emerges from a recent review of evidence, conducted by the authors and others, on the lifelong barriers to widening participation in higher education in England. This has led us to a consideration of the quality and relevance of the research activity in this large field of endeavour, and to the creation of a typology of the kinds of…
Descriptors: Foreign Countries, Lifelong Learning, Higher Education, Access to Education
Advanced Technology, Inc., Reston, VA. – 1984
Edits that can be performed by the processor who applies for federal campus-based student aid programs are discussed, along with a longer-term approach to assessing the efficacy of recommended edit checks. Attention is focused on the accuracy of data submitted by institutions on the application portion of the Fiscal Operations Report and…
Descriptors: Computation, Data Collection, Error Patterns, Evaluation Methods
Advanced Technology, Inc., Reston, VA. – 1985
Efforts of the Department of Education (ED) to simplify the Pell Grant formula by reducing the number of data elements used to calculate awards (i.e., data element reduction) are evaluated. A framework is developed to assess the critical characteristics of individual data elements, to eliminate elements from the formula, and to develop proposals…
Descriptors: Computation, Data Collection, Efficiency, Eligibility
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