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Showing all 15 results Save | Export
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Aruguete, 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
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Sinharay, Sandip – Journal of Educational Measurement, 2016
De la Torre and Deng suggested a resampling-based approach for person-fit assessment (PFA). The approach involves the use of the [math equation unavailable] statistic, a corrected expected a posteriori estimate of the examinee ability, and the Monte Carlo (MC) resampling method. The Type I error rate of the approach was closer to the nominal level…
Descriptors: Sampling, Research Methodology, Error Patterns, Monte Carlo Methods
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Bishara, Anthony J.; Hittner, James B. – Educational and Psychological Measurement, 2015
It is more common for educational and psychological data to be nonnormal than to be approximately normal. This tendency may lead to bias and error in point estimates of the Pearson correlation coefficient. In a series of Monte Carlo simulations, the Pearson correlation was examined under conditions of normal and nonnormal data, and it was compared…
Descriptors: Research Methodology, Monte Carlo Methods, Correlation, Simulation
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
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Haardorfer, Regine; Gagne, Phill – Focus on Autism and Other Developmental Disabilities, 2010
Some researchers have argued for the use of or have attempted to make use of randomization tests in single-subject research. To address this tide of interest, the authors of this article describe randomization tests, discuss the theoretical rationale for applying them to single-subject research, and provide an overview of the methodological…
Descriptors: Research Design, Researchers, Evaluation Methods, Research Methodology
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Karadag, Engin – Education, 2010
In this research, the level of quality of the qualitative research design used and the analytic mistakes made in the doctorate dissertations carried out in the field of education science in Turkey have been tried to be identified. Case study design has been applied in the study in which qualitative research techniques have been used. The universe…
Descriptors: Foreign Countries, Research Design, Qualitative Research, Educational Research
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
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Strasser, Nora – Journal of College Teaching & Learning, 2007
Avoiding statistical mistakes is important for educators at all levels. Basic concepts will help you to avoid making mistakes using statistics and to look at data with a critical eye. Statistical data is used at educational institutions for many purposes. It can be used to support budget requests, changes in educational philosophy, changes to…
Descriptors: Statistics, Statistical Data, Validity, Data Interpretation
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Bookstein, Abrham – Library Quarterly, 1974
Discusses three types of faults which commonly occur in statistical sampling. (JG)
Descriptors: Error Patterns, Library Research, Research Methodology, Sampling
Katzer, Jeffrey – Drexel Library Quarterly, 1977
Discusses, in the context of library evaluation, the major sources of untrustworthy information and describes what can be done to control them. The emphasis is on assessing the impact of changed operations. (JD)
Descriptors: Error Patterns, Evaluation Criteria, Libraries, Reliability
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Bookstein, Abraham – Journal of Academic Librarianship, 1985
Based on data from two experiments, this article attempts to assess degree to which people differ in interpretations of questions referring to library services and the implications for interpreting survey results. Sources of error in questionnaire research--sampling, response (question interpretation, response decision, category choices)--are…
Descriptors: Error Patterns, Library Research, Library Surveys, Problems
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Karney, Benjamin R. – Journal of Marriage and the Family, 1995
Addresses the lack of data on procedures used to recruit subjects in marital research by examining the effects of different sampling techniques. In Study One, couples recruited through newspaper advertisements were found to be at greater risk for marital discord. In Study Two, couples who responded to mailed solicitation were found to be less…
Descriptors: Error Patterns, Higher Education, Longitudinal Studies, Marriage
Brainerd, Charles J.; Hooper, Frank H. – 1974
This report reviews some ostensibly conflicting empirical findings which have been reported in conjunction with Elkind's (1967) conjecture that Piaget's conservation problems tap two distinct concepts. The discrepant findings which report on the order of emergence of identity conservation and equivalence conservation are discussed. An analysis of…
Descriptors: Cognitive Processes, Conservation (Concept), Developmental Psychology, Elementary School Students
Advanced Technology, Inc., Reston, VA. – 1984
The Pell Grant Quality Control Study of 1982-83 was designed to identify program error rate, to measure the impact of increased validation activity, and to propose corrective actions to reduce the misallocation of program funds. A sample of approximately 4,000 students was drawn from a stratified random sample of 317 participating institutions.…
Descriptors: Compliance (Legal), Delivery Systems, Error Patterns, Federal Aid
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