Science Forum: Consensus-based guidance for conducting and reporting multi-analyst studies

Autor: Aczel, B., Szaszi, B., Nilsonne, G., van den Akker, O.R., Albers, C.J., van Assen, M.A., Bastiaansen, J.A., Benjamin, D., Boehm, U., Botvinik-Nezer, R., Bringmann, L.F., Busch, N.A., Caruyer, E., Cataldo, A.M., Cowan, N., Delios, A., van Dongen, N.N.N., Donkin, C., van Doorn, J.B., Dreber, A., Dutilh, G., Egan, G.F., Gernsbacher, M.A., Hoekstra, R., Hoffmann, S., Holzmeister, F., Huber, J., Johannesson, M., Jonas, K.J., Kindel, A.T., Kirchler, M., Kunkels, Y.K., Lindsay, D.S., Mangin, J.F., Matzke, D., Munafo, M.R., Newell, B.R., Nosek, B.A., Poldrack, R.A., van Ravenzwaaij, D., Rieskamp, J., Salganik, M.J., Sarafoglou, A., Schonberg, T., Schweinsberg, M., Shanks, D., Silberzahn, R., Simons, D.J., Spellman, B.A., St-Jean, S.

Publikováno v: Elife, 10:e72185. eLife Sciences Publications, Ltd

Any large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy cho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::d01d437fe44d49b50dc274eddaf74239
https://cris.maastrichtuniversity.nl/en/publications/d70b5d9a-1c92-4b89-98ed-584d72e37340

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

The Quality of Response Time Data Inference

Autor: Dutilh, G., Annis, J., Brown, S.D., Cassey, P., Evans, N.J., Grasman, R.P.P.P.P., Hawkins, G.E., Heathcote, A., Holmes, W.R., Krypotos, A.M., Kupitz, C.N., Leite, F.P., Lerche, V., Lin, Y.S., Logan, G.D., Palmeri, T.J., Starns, J.J., Trueblood, J.S., Van Maanen, L., Van Ravenzwaaij, D., Vandekerckhove, J., Visser, I., Voss, A., White, C.N., Wiecki, T.V., Rieskamp, J., Donkin, C., Leerstoel Engelhard, Experimental psychopathology

Publikováno v: Psychonomic Bulletin and Review, 26(4). SPRINGER
Psychonomic Bulletin & Review, 26(4), 1051-1069. Springer New York
Psychonomic Bulletin and Review, 26(4), 1051. Springer New York
Dutilh, G; Annis, J; Brown, SD; Cassey, P; Evans, NJ; Grasman, RPPP; et al.(2018). The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models.. Psychonomic bulletin & review. doi: 10.3758/s13423-017-1417-2. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/42b6t27x
Psychonomic bulletin & review, vol 26, iss 4
Psychonomic Bulletin & Review

Most data analyses rely on models. To complement statistical models, psychologists have developed cognitive models, which translate observed variables into psychologically interesting constructs. Response time models, in particular, assume that respo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c80b1494072df46ced350ee1e4d2c9a5
https://doi.org/10.3758/s13423-017-1417-2

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.