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Kubsch, Marcus; Stamer, Insa; Steiner, Mara; Neumann, Knut; Parchmann, Ilka – Practical Assessment, Research & Evaluation, 2021
In light of the replication crisis in psychology, null-hypothesis significance testing (NHST) and "p"-values have been heavily criticized and various alternatives have been proposed, ranging from slight modifications of the current paradigm to banning "p"-values from journals. Since the physics education research community…
Descriptors: Data Analysis, Bayesian Statistics, Educational Research, Science Education
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Goedert, Kelly M.; Ellefson, Michelle R.; Rehder, Bob – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
Individuals have difficulty changing their causal beliefs in light of contradictory evidence. We hypothesized that this difficulty arises because people facing implausible causes give greater consideration to causal alternatives, which, because of their use of a positive test strategy, leads to differential weighting of contingency evidence.…
Descriptors: Causal Models, Inferences, Beliefs, Attitude Change
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Hoekstra, Rink; Johnson, Addie; Kiers, Henk A. L. – Educational and Psychological Measurement, 2012
The use of confidence intervals (CIs) as an addition or as an alternative to null hypothesis significance testing (NHST) has been promoted as a means to make researchers more aware of the uncertainty that is inherent in statistical inference. Little is known, however, about whether presenting results via CIs affects how readers judge the…
Descriptors: Computation, Statistical Analysis, Hypothesis Testing, Statistical Significance
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Smart, L. – Journal of Computer Assisted Learning, 1988
Describes how the database software QUEST was used with 10- to 11-year-old students in London by utilizing a multidisciplinary, project-based approach. The collection, collation, and interpretation of data are emphasized, and areas of educational development that benefited are discussed, including language, self responsibility, and hypothesis…
Descriptors: Computer Assisted Instruction, Data Collection, Data Interpretation, Database Management Systems