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Valliant, Richard; Dever, Jill A.; Kreuter, Frauke – Springer, 2013
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least…
Descriptors: Sampling, Surveys, Computer Software, College Students
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
Commonwealth of Learning, 2010
The Commonwealth of Learning Review and Improvement Model (COL RIM) was developed by the Commonwealth of Learning in response to two key drivers: (1) Increased global emphasis on the quality of higher education; and (2) Rising concern about the high cost and uncertain benefits of conventional approaches to external quality assurance. Any…
Descriptors: Higher Education, Quality Control, Models, Costs
Boller, Kimberly; Kisker, Ellen Eliason – Regional Educational Laboratory, 2014
This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes…
Descriptors: Research Reports, Research Methodology, Educational Research, Check Lists
Birenbaum, Menucha – Studies in Educational Evaluation, 2007
High quality assessment practice is expected to yield valid and useful score-based interpretations about what the examinees know and are able to do with respect to a defined target domain. Given this assertion, the article presents a framework based on the "unified view of validity," advanced by Cronbach and Messick over two decades ago, to assist…
Descriptors: Quality Control, Student Evaluation, Validity, Evaluation Methods

Luftig, Jeffrey T. – Journal of Epsilon Pi Tau, 1982
Students at the University of Northern Iowa were provided with a meaningful experience in quality assurance through a term project resulting from a problem submitted by a local manufacturing plant. Students were given the responsibility of developing a quality control and inspection system that was actually installed in the plant. (SK)
Descriptors: Case Studies, Higher Education, Industrial Education, Industry

Trochim, William M. K.; Visco, Ronald J. – Educational Evaluation and Policy Analysis, 1986
A number of quality assurance educational evaluation methods are illustrated. Evaluation data obtained from the Providence, Rhode Island, school district are used. The methods are: (1) from auditing, internal control; (2) from accounting, double bookkeeping; and (3) from industrial quality control, acceptance sampling and cumulative percentage…
Descriptors: Audits (Verification), Bookkeeping, Charts, Educational Assessment
Reis, Marcelo Menezes; Paladini, Edson Pacheco; Khator, Suresh; Sommer, Willy Arno – Computers and Education, 2006
Statistical quality control--SQC (consisting of Statistical Process Control, Process Capability Studies, Acceptance Sampling and Design of Experiments) is a very important tool to obtain, maintain and improve the Quality level of goods and services produced by an organization. Despite its importance, and the fact that it is taught in technical and…
Descriptors: Artificial Intelligence, Quality Control, Teaching Methods, Statistical Analysis
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
Walker, Gail; Kuchak, JoAnn – 1980
The type, number, and scope of errors on Basic Educational Opportunity Grant (BEOG) program applications were estimated in a replication of a 1976-1977 Internal Revenue Service (IRS) Comparison Study. Information reported on BEOG applicants and IRS income tax returns was compared for various categories of applicants. The study provides information…
Descriptors: College Students, Comparative Analysis, Data Collection, Disclosure
Advanced Technology, Inc., Reston, VA. – 1983
The issues, options, and procedures for annually measuring overall payment error in the Pell Grant program are specified in detail. Guidelines for establishing a definition of Pell Grant payment error are provided, and the design issues related to error measurement are examined. A comparison is made of options for selecting a study sample and for…
Descriptors: Accountability, Compliance (Legal), Costs, Data Collection
Suelzle, Marijean; And Others – 1980
Research and instructional role strains are identified, based on the use of large-scale mail surveys for college self-study that are used to teach introductory research methodology. The two organizational hierarchies, the research model and the instructional model, are examined. Experiences at Northwestern University, Northeastern Illinois…
Descriptors: Accountability, Case Studies, College Administration, College Faculty