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Direct linkAruguete, Mara S.; Huynh, Ho; Browne, Blaine L.; Jurs, Bethany; Flint, Emilia; McCutcheon, Lynn E. – International Journal of Social Research Methodology, 2019
This study compared the quality of survey data collected from Mechanical Turk (MTurk) workers and college students. Three groups of participants completed the same survey. "MTurk" respondents completed the survey as paid workers using the Mechanical Turk crowdsourcing platform. "Student Online" respondents also completed the…
Descriptors: Data Collection, Research Methodology, Sampling, College Students
Download full textLiu, 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
Varol, Cihan – ProQuest LLC, 2009
Companies acquire personal information from phone, World Wide Web, or email in order to sell or send an advertisement about their product. However, when this information is acquired, moved, copied or edited, the data may loose its quality. Often, the use of data administrators or a tool that has limited capabilities to correct the mistyped…
Descriptors: Business, Data Collection, Confidentiality, Error Patterns
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
Meyer, Donald – 1969
One of six summaries of workshop sessions (See TM 000 130), designed to strengthen the evaluation of costly programs and their effects, this handbook presents an analysis of both random and nonrandom sampling errors by application of the Bayesian model. This model attempts to formalize the process and procedures of inference from data through…
Descriptors: Bayesian Statistics, Data Collection, Error Patterns, Models
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
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
Levy, Paul S.; French, Dwight K. – 1977
Synthetic estimation is a statistical technique that estimates small-area statistics by combining national estimates of the relevant characteristics with estimates of other known characteristics of the small geographic area. The advantages of the synthetic estimation approach to local estimation are its intuitive appeal, its simplicity, and its…
Descriptors: Census Figures, Data Collection, Demography, 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
