Robust Modeling in Cognitive Science Michael D. LeeAmy H. CrissJoachim Vandekerckhove OriginalPaper 24 April 2019 Pages: 141 - 153
What Does It Mean for Psychological Modeling to Be More Robust? Kevin A. Gluck Original Paper 10 September 2019 Pages: 154 - 156
Promoting Cumulation in models of the human mind Glenn Gunzelmann Original Paper 10 September 2019 Pages: 157 - 159
A Model Hierarchy for Psychological Science David Kellen Original Paper 01 August 2019 Pages: 160 - 165
The Many Functions of Quantitative Modeling David J. Cox Original Paper 31 July 2019 Pages: 166 - 169
Cultural Problems Cannot Be Solved with Technical Solutions Alone Simon D. LilburnDaniel R. LittlePhilip L. Smith Original Paper 09 October 2019 Pages: 170 - 175
Commentary on “Robust Modeling in Cognitive Science: Misunderstanding the Goal of Modeling” Richard M. Shiffrin Original Paper 31 July 2019 Pages: 176 - 178
Preregistration of Modeling Exercises May Not Be Useful Steven N. MacEachernTrisha Van Zandt Original Paper 09 August 2019 Pages: 179 - 182
Beyond Registration Pre and Post Paul De BoeckMinjeong JeonLawrence Gore Original Paper 09 September 2019 Pages: 183 - 186
What Do the Rules for the Wrong Game Tell us About How to Play the Right Game? Andrew Heathcote Original Paper 07 October 2019 Pages: 187 - 189
Neglected Sources of Flexibility in Psychological Theories: from Replicability to Good Explanations Aba SzollosiChris Donkin Original Paper 29 July 2019 Pages: 190 - 192
On Testing and Developing Cognitive Models Thomas J. Palmeri Original Paper 26 July 2019 Pages: 193 - 196
Need of Mathematical Formalism in Proposals for Robust Modeling Erkan Buzbas Original Paper 16 October 2019 Pages: 197 - 199
Robust Modeling Through Design Optimization Mark A. PittJay I. Myung Original Paper 05 August 2019 Pages: 200 - 201
Maximizing the Expected Information Gain of Cognitive Modeling via Design Optimization Daniel W. HeckEdgar Erdfelder Original Paper 01 August 2019 Pages: 202 - 209
The Experiment is just as Important as the Likelihood in Understanding the Prior: a Cautionary Note on Robust Cognitive Modeling Lauren KennedyDaniel SimpsonAndrew Gelman Original Paper 07 October 2019 Pages: 210 - 217
The Really Risky Registered Modeling Report: Incentivizing Strong Tests and HONEST Modeling in Cognitive Science Wolf Vanpaemel Original Paper 02 October 2019 Pages: 218 - 222
Blinded Inference: an Opportunity for Mathematical Modelers to Lead the Way in Research Reform Jeffrey J. StarnsAndrea M. CataldoCaren M. Rotello Original Paper 29 July 2019 Pages: 223 - 228
The Importance of Standards for Sharing of Computational Models and Data Russell A PoldrackFranklin FeingoldJonathan D. Cohen Original Paper 07 October 2019 Pages: 229 - 232
Interpreting Model Comparison Requires Understanding Model-Stimulus Relationships Stephen B. BroomellSabina J. SlomanJulia Chelen Original Paper 02 August 2019 Pages: 233 - 238
All models are wrong, some are useful, but are they reproducible? Commentary on Lee et al. (2019) Micah K. WilsonRussell James BoagLuke Strickland Original Paper 12 August 2019 Pages: 239 - 241
Towards Replication in Computational Cognitive Modeling: a Machine Learning Perspective Chris EmmeryÁkos KádárAndrew T. Hendrickson Original Paper Open access 14 August 2019 Pages: 242 - 246
We Have Not Looked at Our Results Until We Have Displayed Them Effectively: a Comment on Robust Modeling in Cognitive Science Leslie M. Blaha Original Paper 02 October 2019 Pages: 247 - 250
Potential Contributions of Clinical Mathematical Psychology to Robust Modeling in Cognitive Science Richard W. J. NeufeldColleen Diane Cutler Original Paper 29 July 2019 Pages: 251 - 254
Robust Standards in Cognitive Science Sophia CrüwellAngelika M. StefanNathan J. Evans Original Paper Open access 21 August 2019 Pages: 255 - 265
On the Importance of Power Analyses for Cognitive Modeling Sebastian GluthJana B. Jarecki Original Paper 26 July 2019 Pages: 266 - 270
Robust Diversity in Cognitive Science Joachim VandekerckhoveCorey N. WhiteMichael D. Lee Original Paper 09 October 2019 Pages: 271 - 276
