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Davis, Alexander L.; Fischhoff, Baruch – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
Four experiments examined when laypeople attribute unexpected experimental outcomes to error, in foresight and in hindsight, along with their judgments of whether the data should be published. Participants read vignettes describing hypothetical experiments, along with the result of the initial observation, considered as either a possibility…
Descriptors: Evidence, Vignettes, Error Patterns, Error of Measurement
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Bernard, Robert M.; Borokhovski, Eugene; Schmid, Richard F.; Tamim, Rana M. – Journal of Computing in Higher Education, 2014
This article contains a second-order meta-analysis and an exploration of bias in the technology integration literature in higher education. Thirteen meta-analyses, dated from 2000 to 2014 were selected to be included based on the questions asked and the presence of adequate statistical information to conduct a quantitative synthesis. The weighted…
Descriptors: Meta Analysis, Bias, Technology Integration, Higher Education
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Culpepper, Steven Andrew – Psychometrika, 2012
The study of prediction bias is important and the last five decades include research studies that examined whether test scores differentially predict academic or employment performance. Previous studies used ordinary least squares (OLS) to assess whether groups differ in intercepts and slopes. This study shows that OLS yields inaccurate inferences…
Descriptors: Academic Achievement, Prediction, Measurement, Least Squares Statistics
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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Mrazik, Martin; Janzen, Troy M.; Dombrowski, Stefan C.; Barford, Sean W.; Krawchuk, Lindsey L. – Canadian Journal of School Psychology, 2012
A total of 19 graduate students enrolled in a graduate course conducted 6 consecutive administrations of the Wechsler Intelligence Scale for Children, 4th edition (WISC-IV, Canadian version). Test protocols were examined to obtain data describing the frequency of examiner errors, including administration and scoring errors. Results identified 511…
Descriptors: Intelligence Tests, Intelligence, Statistical Analysis, Scoring
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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Luh, Wei-Ming; Guo, Jiin-Huarng – Journal of Experimental Education, 2005
To deal with nonnormal and heterogeneous data for the one-way fixed effect analysis of variance model, the authors adopted a trimmed means method in conjunction with Hall's invertible transformation into a heteroscedastic test statistic (Alexander-Govern test or Welch test). The results of simulation experiments showed that the proposed technique…
Descriptors: Robustness (Statistics), Computer Simulation, Educational Research, Error Patterns
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Croninger, Robert G.; Douglas, Karen M. – New Directions for Institutional Research, 2005
Many do not consider the effect that missing data have on their survey results nor do they know how to handle missing data. This chapter offers strategies for handling item-missing data and provides a practical example of how these strategies may affect results. The chapter concludes with recommendations for preventing and dealing with missing…
Descriptors: Institutional Research, Research Methodology, Surveys, Error of Measurement
Thompson, Bruce – 1994
The present paper suggests that multivariate methods ought to be used more frequently in behavioral research and explores the potential consequences of failing to use multivariate methods when these methods are appropriate. The paper explores in detail two reasons why multivariate methods are usually vital. The first is that they limit the…
Descriptors: Analysis of Covariance, Behavioral Science Research, Causal Models, Correlation
Linn, Robert L.; Werts, Charles E. – 1971
Failure to consider errors of measurement when using partial correlation or analysis of covariance techniques can result in erroneous conclusions. Certain aspects of this problem are discussed and particular attention is given to issues raised in a recent article by Brewar, Campbell, and Crano. (Author)
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Correlation
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Chapman, David W.; Dhungana, Madhup – Evaluation and Program Planning, 1991
The quality of educational data in Nepal was evaluated by investigating three questions: (1) the extent of reporting error in national education data; (2) accuracy of error estimation; and (3) levels at which error is introduced. Evidence suggests that data may be more accurate than decision makers suppose. (SLD)
Descriptors: Data Collection, Decision Making, Developing Nations, Educational Research
Tatsuoka, Kikumi K.; Tatsuoka, Maurice M. – 1985
The study examines the rule space model, a probabilistic model capable of measuring cognitive skill acquisition and of diagnosing erroneous rules of operation in a procedural domain. The model involves two important components: (1) determination of a set of bug distributions (bug density functions representing clusters around the rules); and (2)…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Assisted Testing, Computer Software