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Showing 1 to 15 of 34 results Save | Export
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František Bartoš; Maximilian Maier; Eric-Jan Wagenmakers; Franziska Nippold; Hristos Doucouliagos; John P. A. Ioannidis; Willem M. Otte; Martina Sladekova; Teshome K. Deresssa; Stephan B. Bruns; Daniele Fanelli; T. D. Stanley – Research Synthesis Methods, 2024
Publication selection bias undermines the systematic accumulation of evidence. To assess the extent of this problem, we survey over 68,000 meta-analyses containing over 700,000 effect size estimates from medicine (67,386/597,699), environmental sciences (199/12,707), psychology (605/23,563), and economics (327/91,421). Our results indicate that…
Descriptors: Publications, Selection, Bias, Meta Analysis
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Yechiam, Eldad; Ashby, Nathaniel J. S.; Hochman, Guy – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
The majority of the literature on the psychology of gains and losses suggests that losses lead to an avoidance response. Several studies, however, have shown that losses can also lead to an approach response, whereby an option is selected more often when it produces losses. In five studies we examine the boundary conditions for these contradictory…
Descriptors: Fear, Responses, Attention, Selection
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Cahan, Sorel; Nirel, Ronit; Gamliel, Eyal – Higher Education Studies, 2018
Predictive validity considerations in selection dictate choice of the predictor with the highest predictive validity. Implementation of this principle in any specific selection process inevitably entails choice between imperfectly correlated alternative predictors, real or hypothetical, which are equivalent in terms of predictive validity. We show…
Descriptors: Predictor Variables, Higher Education, Predictive Validity, Correlation
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Steiner, Peter M.; Kim, Jee-Seon – Society for Research on Educational Effectiveness, 2015
Despite the popularity of propensity score (PS) techniques they are not yet well studied for matching multilevel data where selection into treatment takes place among level-one units within clusters. This paper suggests a PS matching strategy that tries to avoid the disadvantages of within- and across-cluster matching. The idea is to first…
Descriptors: Computation, Outcomes of Treatment, Multivariate Analysis, Probability
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Betsch, Tilmann; Lehmann, Anne; Lindow, Stefanie; Lang, Anna; Schoemann, Martin – Developmental Psychology, 2016
Adaptive decision making in probabilistic environments requires individuals to use probabilities as weights in predecisional information searches and/or when making subsequent choices. Within a child-friendly computerized environment (Mousekids), we tracked 205 children's (105 children 5-6 years of age and 100 children 9-10 years of age) and 103…
Descriptors: Adjustment (to Environment), Children, Adults, Decision Making
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Camilleri, Adrian R.; Newell, Ben R. – Cognition, 2013
Previous research has shown that many choice biases are attenuated when short-run decisions are reframed to the long run. However, this literature has been limited to description-based choice tasks in which possible outcomes and their probabilities are explicitly specified. A recent literature has emerged showing that many core results found using…
Descriptors: Probability, Sampling, Models, Outcomes of Education
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Steiner, Peter M.; Cook, Thomas D.; Li, Wei; Clark, M. H. – Journal of Research on Educational Effectiveness, 2015
In observational studies, selection bias will be completely removed only if the selection mechanism is ignorable, namely, all confounders of treatment selection and potential outcomes are reliably measured. Ideally, well-grounded substantive theories about the selection process and outcome-generating model are used to generate the sample of…
Descriptors: Quasiexperimental Design, Bias, Selection, Observation
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Fennell, John; Baddeley, Roland – Psychological Review, 2012
Empirical research has shown that when making choices based on probabilistic options, people behave as if they overestimate small probabilities, underestimate large probabilities, and treat positive and negative outcomes differently. These distortions have been modeled using a nonlinear probability weighting function, which is found in several…
Descriptors: Bayesian Statistics, Probability, Psychology, Selection
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Yechiam, Eldad; Hochman, Guy – Psychological Bulletin, 2013
It has been shown that in certain situations losses exert a stronger effect on behavior than respective gains, and this has been commonly explained by the argument that losses are given more weight in people's decisions than respective gains. However, although much is understood about the effect of losses on cognitive processes and behavior, 2…
Descriptors: Foreign Countries, Money Management, Experience, Risk
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Segev, Elad; Cahan, Sorel – Assessment in Education: Principles, Policy & Practice, 2014
Selection to programmes for gifted students in Israel, performed in the second grade, relies on raw ability and achievement test scores, irrespective of age, thereby ignoring the well-known effect of within-grade age differences on test scores. Employing the entire cohort of third graders of legal age (67,366 students, 1.4% of whom were enrolled…
Descriptors: Foreign Countries, Age Differences, Academically Gifted, Special Education
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Shteingart, Hanan; Neiman, Tal; Loewenstein, Yonatan – Journal of Experimental Psychology: General, 2013
We quantified the effect of first experience on behavior in operant learning and studied its underlying computational principles. To that goal, we analyzed more than 200,000 choices in a repeated-choice experiment. We found that the outcome of the first experience has a substantial and lasting effect on participants' subsequent behavior, which we…
Descriptors: Operant Conditioning, Behavior, Models, Reinforcement
Rachlin, Howard; Locey, Matthew L. – Journal of the Experimental Analysis of Behavior, 2010
David Thorne's (2010) article, "The Identities Hidden In The Matching Laws, And Their Uses" performs a valuable service in pointing out alternative expressions of matching. However, some identities tend to obscure rather than illuminate empirical relationships. Three such problematic instances are discussed: interresponse time as a function of…
Descriptors: Reinforcement, Probability, Selection
Kelcey, Benjamin – Society for Research on Educational Effectiveness, 2011
A central issue in nonexperimental studies is the identification of comparable individuals (e.g. students) to remove selection bias. One such increasingly common method to identify comparable individuals and address selection bias is the propensity score (PS). PS methods rely on a model of the treatment assignment to identify comparable…
Descriptors: Probability, Selection, Bias, Monte Carlo Methods
Mattson, Karla M.; Hucks, Andrew; Grace, Randolph C.; McLean, Anthony P. – Journal of the Experimental Analysis of Behavior, 2010
Eight pigeons responded in a three-component concurrent-chains procedure, with either independent or dependent initial links. Relative probability and immediacy of reinforcement in the terminal links were both varied, and outcomes on individual trials (reinforcement or nonreinforcement) were either signaled or unsignaled. Terminal-link fixed-time…
Descriptors: Reinforcement, Probability, Animals, Selection
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Kelcey, Ben – Multivariate Behavioral Research, 2011
This study examined the practical problem of covariate selection in propensity scores (PSs) given a predetermined set of covariates. Because the bias reduction capacity of a confounding covariate is proportional to the concurrent relationships it has with the outcome and treatment, particular focus is set on how we might approximate…
Descriptors: Probability, Scores, Predictor Variables, Selection
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