about
What counts as evidence for working memory training? Problems with correlated gains and dichotomization.Reevaluating the effectiveness of n-back training on transfer through the Bayesian lens: Support for the null.Measuring working memory is all fun and games: a four-dimensional spatial game predicts cognitive task performance.Order-constrained linear optimization.Does constraining memory maintenance reduce visual search efficiency?Deliberations on Unconscious thought TheoryMaking Retrospective Confidence Judgments Improves Learners' Ability to Decide What Not to Study.Robust decision making in a nonlinear world.On the lawfulness of the decision to terminate memory search.Generating and evaluating options for decision making: the impact of sequentially presented evidence.Crowdsourcing prior information to improve study design and data analysis.Do metacognitive judgments alter memory performance beyond the benefits of retrieval practice? A comment on and replication attempt of Dougherty, Scheck, Nelson, and Narens (2005).Using a model of hypothesis generation to predict eye movements in a visual search task.Reply to Rouder (2014): good frequentist properties raise confidence.When decision heuristics and science collide.Integration of the ecological and error models of overconfidence using a multiple-trace memory model.Psychological plausibility of the theory of probabilistic mental models and the fast and frugal heuristics.The influence of improper sets of information on judgment: how irrelevant information can bias judged probability.Diagnostic hypothesis generation and human judgment.Hypothesis generation, probability judgment, and individual differences in working memory capacity.Reducing bias in frequency judgment by improving source monitoring.Long-term serial position effects in cue-based inferenceMaking Research Evaluation More Transparent: Aligning Research Philosophy, Institutional Values, and Reporting
P50
Q38168783-147AAFE8-EFE5-40AC-980E-6646958A082AQ38529977-2851D7AB-A991-41B8-ABCB-692B28514E6CQ38547651-8D38322F-71B2-4B70-9E24-F160F3C6C28EQ38940574-52069EF1-049C-4913-9589-A71D3E1D0B97Q39101967-7A6C2C80-3B95-4532-B8F0-D424987F46ADQ41896657-3ACEBADC-B0B7-4F46-88FE-5FBA97C0B876Q42692175-6497DDB3-8B17-4BCC-B724-BA1BAD15A4BDQ43481194-9CFB98B7-00B5-4C8D-B030-24BD4CC74A32Q43672483-25BBA118-6341-4ECD-8F2A-351E9EA94342Q45277004-45F8A7A8-B044-4CF6-BDB2-D9094CEE87A2Q45948873-892E527B-4507-4F7C-9F81-854A528ECC17Q47713085-26269A39-AA27-4025-96D6-E65A3DDBD5AFQ50622315-0597075F-1BD2-4A48-8ED9-24644005CB80Q51103111-EEDDFD73-2C23-4B57-8AB4-734B6317DEF0Q51167602-644FC5A0-05E0-46F3-8D4E-8949314D46FFQ51201125-8AF506EA-1BBF-4C86-95D6-17CE7DE7DF4BQ51894738-44E2616D-3D6D-42EA-8A66-33B4D6A96355Q51917063-B3C3C47F-6A11-4C37-BD47-0778E2A91BC1Q51966647-49FE4559-A4A4-45FB-9349-B295C0400B9EQ52006944-33F961F3-DA6E-48B9-8C99-7E3A5261983DQ52950084-5F496C86-A957-46EA-858F-434C19C461D1Q90315729-EE4A93DC-9A4C-4374-95CE-3DE7276BE2A0Q90984408-19646787-DB6A-4D3E-8D0F-A1D17B412B05
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Michael R Dougherty
@es
Michael R Dougherty
@nl
Michael R Dougherty
@sl
Michael R. Dougherty
@en
type
label
Michael R Dougherty
@es
Michael R Dougherty
@nl
Michael R Dougherty
@sl
Michael R. Dougherty
@en
prefLabel
Michael R Dougherty
@es
Michael R Dougherty
@nl
Michael R Dougherty
@sl
Michael R. Dougherty
@en
P106
P1153
7103132619
P21
P31
P496
0000-0001-9547-1937