Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Richard, Scheines"'
The authors address the assumptions and methods that allow us to turn observations into causal knowledge, and use even incomplete causal knowledge in planning and prediction to influence and control our environment.What assumptions and methods allow
Publikováno v:
Journal of the Learning Sciences. 26:226-276
How might we balance assistance and penalties to intelligent tutors and educational games that increase learning and interest? We created two versions of an educational game for learning policy argumentation called Policy World. The game (only) versi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1655b16e3d68b7f51759eba446a42544
https://doi.org/10.1080/10508406.2016.1269287
https://doi.org/10.1080/10508406.2016.1269287
Publikováno v:
Structural equation modeling : a multidisciplinary journal. 24(3)
Several studies have indicated that bi–factor models fit a broad range of psychometric data better than alternative multidimensional models such as second–order models, e.g Rodriguez, Reise and Haviland (2016), Gignac (2016), and Carnivez (2016).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d72ccea38bb51cdb08ce577d67df235
https://pubmed.ncbi.nlm.nih.gov/29230085
https://pubmed.ncbi.nlm.nih.gov/29230085
Autor:
Gregory F, Cooper, Ivet, Bahar, Michael J, Becich, Panayiotis V, Benos, Jeremy, Berg, Jeremy U, Espino, Clark, Glymour, Rebecca Crowley, Jacobson, Michelle, Kienholz, Adrian V, Lee, Xinghua, Lu, Richard, Scheines, Naftali, Kaminski
Publikováno v:
Journal of the American Medical Informatics Association. 22:1132-1136
The Big Data to Knowledge (BD2K) Center for Causal Discovery is developing and disseminating an integrated set of open source tools that support causal modeling and discovery of biomedical knowledge from large and complex biomedical datasets. The Cen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a521e70584944f6db567c82593a7eb84
https://doi.org/10.1093/jamia/ocv059
https://doi.org/10.1093/jamia/ocv059
Publikováno v:
Structural Equation Modeling A Multidisciplinary Journal, vol 22, iss 4
Structural Equation Modeling: A Multidisciplinary Journal, 22(4), 504-516
Structural Equation Modeling, vol 22, iss 4
Bonifay, WE; Reise, SP; Scheines, R; & Meijer, RR. (2015). When Are Multidimensional Data Unidimensional Enough for Structural Equation Modeling? An Evaluation of the DETECT Multidimensionality Index. Structural Equation Modeling. doi: 10.1080/10705511.2014.938596. UCLA: Retrieved from: http://www.escholarship.org/uc/item/1p020503
Structural Equation Modeling: A Multidisciplinary Journal, 22(4), 504-516
Structural Equation Modeling, vol 22, iss 4
Bonifay, WE; Reise, SP; Scheines, R; & Meijer, RR. (2015). When Are Multidimensional Data Unidimensional Enough for Structural Equation Modeling? An Evaluation of the DETECT Multidimensionality Index. Structural Equation Modeling. doi: 10.1080/10705511.2014.938596. UCLA: Retrieved from: http://www.escholarship.org/uc/item/1p020503
© 2015, Routledge. All rights reserved. In structural equation modeling (SEM), researchers need to evaluate whether item response data, which are often multidimensional, can be modeled with a unidimensional measurement model without seriously biasin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7ddffd305c6ccb3ee33b20a7f398e3a
https://hdl.handle.net/11370/691df7f3-b9b1-4c6c-bf97-73ec559950e8
https://hdl.handle.net/11370/691df7f3-b9b1-4c6c-bf97-73ec559950e8
Autor:
Gregory Wheeler, Richard Scheines
Publikováno v:
Mind. 122:135-170
Coherentism maintains that coherent beliefs are more likely to be true than incoherent beliefs, and that coherent evidence provides more confirmation of a hypothesis when the evidence is made coherent by the explanation provided by that hypothesis. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ecc5e329a47fb58b7b215c00863778f
https://doi.org/10.1093/mind/fzt019
https://doi.org/10.1093/mind/fzt019
Publikováno v:
Multivariate behavioral research. 33(1)
The statistical community has brought logical rigor and mathematical precision to the problem of using data to make inferences about a model's parameter values. The TETRAD project, and related work in computer science and statistics, aims to apply th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2791a065acd9fa995dafb7f11b1f294b
https://pubmed.ncbi.nlm.nih.gov/26771754
https://pubmed.ncbi.nlm.nih.gov/26771754
Publikováno v:
Educational and Psychological Measurement. 73:5-26
In this study, the authors consider several indices to indicate whether multidimensional data are “unidimensional enough” to fit with a unidimensional measurement model, especially when the goal is to avoid excessive bias in structural parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01880a1194ab85202b486e9b4925c9f9
https://doi.org/10.1177/0013164412449831
https://doi.org/10.1177/0013164412449831
Autor:
Joseph D. Ramsey, Choh Man Teng, Bruce Glymour, Jiji Zhang, Clark Glymour, Peter Spirtes, David Danks, Frederick Eberhardt, Richard Scheines
Publikováno v:
Synthese. 175:169-192
We argue that current discussions of criteria for actual causation are ill-posed in several respects. (1) The methodology of current discussions is by induc- tion from intuitions about an infinitesimal fraction of the possible examples and coun- tere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b1691492b60342ecb4be7f434ea97d5
https://doi.org/10.1007/s11229-009-9497-9
https://doi.org/10.1007/s11229-009-9497-9
Publikováno v:
Journal of Educational Computing Research. 32:1-25
In a series of 5 experiments in 2000 and 2001, several hundred students at two different universities with three different professors and six different teaching assistants took a semester long course on causal and statistical reasoning in either trad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8ec5b3eaca2d50095d448bb7f34fc6e
https://doi.org/10.2190/f59b-382t-e785-e4j4
https://doi.org/10.2190/f59b-382t-e785-e4j4