Experiments 1 and 2: Final models of logistic regressions predicting choosing on showups 2 and 3 based on previous choosing and target-presence.

Experimental design and behavioural results.

Laurence T. Hunt (458000)
Mark W. Woolrich (458001)
Matthew F. S. Rushworth (458002)
Timothy E. J. Behrens (408036)

September 2013

(A) Experimental timeline. The experiment contained two types of trial in which subjects chose be...

Experiments 1 and 2: Proportion (frequency) of choosing across showups and overall.

Nina Tupper (6057683)
Melanie Sauerland (571189)
James D. Sauer (511617)
Nick J. Broers (571192)
Steve D. Charman (5769197)
Lorraine Hope (495851)

February 2019

Experiments 1 and 2: Proportion (frequency) of choosing across showups and overall.</p

Results of two models estimated with the data obtained from a choice experiment: A conditional logit (CL) and a latent class (LC) model.

Stephen T. Garnett (129810)
Gillian B. Ainsworth (582317)
Kerstin K. Zander (346838)

June 2018

Results of two models estimated with the data obtained from a choice experiment: A conditional lo...

Experiments 1 and 2: Complete models of logistic regressions predicting choosing on showups 2 and 3 based on previous choosing and target-presence.

Nina Tupper (6057683)
Melanie Sauerland (571189)
James D. Sauer (511617)
Nick J. Broers (571192)
Steve D. Charman (5769197)
Lorraine Hope (495851)

February 2019

Experiments 1 and 2: Complete models of logistic regressions predicting choosing on showups 2 and 3 ...

Experiment 3: Results of logistic regression predicting choosing on second and third recognition test trials based on previous choosing and target-presence.

Nina Tupper (6057683)
Melanie Sauerland (571189)
James D. Sauer (511617)
Nick J. Broers (571192)
Steve D. Charman (5769197)
Lorraine Hope (495851)

February 2019

Experiment 3: Results of logistic regression predicting choosing on second and third recognition tes...

Regression analyses Experiment 1.

Laura Fontanesi (13924781)
Amitai Shenhav (5143175)
Sebastian Gluth (478596)

October 2022

The left column shows the results of the logistic model fit on choice data, while the right column s...

Model-free and model-based influences on choice.

Marcos Economides (796856)
Zeb Kurth-Nelson (259131)
Annika Lübbert (796857)
Marc Guitart-Masip (796858)
Raymond J. Dolan (209991)

September 2015

Results of a logistic regression that considers model-free and model-based influences on choice i...

Binary logistic regression model showing the effect of side of presentation, experience group, type of manipulation and interaction between group and type of manipulation on choices of the owner's face (S+) in the test trials of Experiment 2.

Elisa Pitteri (633775)
Paolo Mongillo (633776)
Paolo Carnier (633777)
Lieta Marinelli (633778)
Ludwig Huber (218979)

September 2014

OR = odds ratio, CI = confidence interval.Binary logistic regression model showing the...

Results of conditional logistic regression testing for the effects of various factors on preference using the first choice made during trials.

Rebecca C. Wilcox (3243009)
Robert J. Fletcher Jr. (431571)

November 2016

Results of conditional logistic regression testing for the effects of various factors on preferen...

Logistic regression predicting whether participants exhibiting 100% choice consistency always or never EV maximized in choices 38–47 and 88–97 in Study 2.

Nathaniel J. S. Ashby (4675825)
Kinneret Teodorescu (6503957)

March 2019

Logistic regression predicting whether participants exhibiting 100% choice consistency always or nev...

Model predictions for participants choosing the predicted information compared to the alternative information in Round 2 of the four conditions, on the probability scale.

Charlotte O. Brand (11261491)
Alex Mesoudi (122989)
Thomas J. H. Morgan (6265379)

August 2021

Model predictions for participants choosing the predicted information compared to the alternative in...

Logistic regression predicting whether participants exhibiting 100% choice consistency always or never EV maximized in choices 38–47 in Study 1.

Nathaniel J. S. Ashby (4675825)
Kinneret Teodorescu (6503957)

March 2019

Logistic regression predicting whether participants exhibiting 100% choice consistency always or nev...

Results of the multiple logistic regressions after automatic selection, approach 1, early detectable parameters and approach 2, later detectable parameters.

Olaf Rose (2813935)
Hugo Mennemann (2813944)
Carina John (2813947)
Marcus Lautenschläger (2813938)
Damaris Mertens-Keller (2813932)
Katharina Richling (2813965)
Isabel Waltering (2813941)
Stefanie Hamacher (2813956)
Moritz Felsch (2813953)
Lena Herich (116776)
Kathrin Czarnecki (2813962)
Corinna Schaffert (2813950)
Ulrich Jaehde (93895)
Juliane Köberlein-Neu (2813959)

June 2016

Results of the multiple logistic regressions after automatic selection, approach 1, early detecta...

Logistic regression model of the impact of setting, prevention level, and study design on the odds that included studies would report a significant or non-significant finding.

Tina M. Olsson (11119533)
Knut Sundell (5600987)

February 2023

Logistic regression model of the impact of setting, prevention level, and study design on the odds t...

Stay probability transition-outcome interaction for Q(1) agent due to trial start action values.

Thomas Akam (836782)
Rui Costa (75687)
Peter Dayan (26734)

December 2015

(A) Predictor loadings for logistic regression model predicting whether the Q(1) ag...

Experimental design and behavioural results.

Laurence T. Hunt (458000)
Mark W. Woolrich (458001)
Matthew F. S. Rushworth (458002)
Timothy E. J. Behrens (408036)

September 2013

(A) Experimental timeline. The experiment contained two types of trial in which subjects chose be...

Experiments 1 and 2: Proportion (frequency) of choosing across showups and overall.

Nina Tupper (6057683)
Melanie Sauerland (571189)
James D. Sauer (511617)
Nick J. Broers (571192)
Steve D. Charman (5769197)
Lorraine Hope (495851)

February 2019

Experiments 1 and 2: Proportion (frequency) of choosing across showups and overall.</p

Results of two models estimated with the data obtained from a choice experiment: A conditional logit (CL) and a latent class (LC) model.

Stephen T. Garnett (129810)
Gillian B. Ainsworth (582317)
Kerstin K. Zander (346838)

June 2018

Results of two models estimated with the data obtained from a choice experiment: A conditional lo...

Experiments 1 and 2: Complete models of logistic regressions predicting choosing on showups 2 and 3 based on previous choosing and target-presence.

Nina Tupper (6057683)
Melanie Sauerland (571189)
James D. Sauer (511617)
Nick J. Broers (571192)
Steve D. Charman (5769197)
Lorraine Hope (495851)

February 2019

Experiments 1 and 2: Complete models of logistic regressions predicting choosing on showups 2 and 3 ...

Experiment 3: Results of logistic regression predicting choosing on second and third recognition test trials based on previous choosing and target-presence.

Nina Tupper (6057683)
Melanie Sauerland (571189)
James D. Sauer (511617)
Nick J. Broers (571192)
Steve D. Charman (5769197)
Lorraine Hope (495851)

February 2019

Experiment 3: Results of logistic regression predicting choosing on second and third recognition tes...

Regression analyses Experiment 1.

Laura Fontanesi (13924781)
Amitai Shenhav (5143175)
Sebastian Gluth (478596)

October 2022

The left column shows the results of the logistic model fit on choice data, while the right column s...

Model-free and model-based influences on choice.

Marcos Economides (796856)
Zeb Kurth-Nelson (259131)
Annika Lübbert (796857)
Marc Guitart-Masip (796858)
Raymond J. Dolan (209991)

September 2015

Results of a logistic regression that considers model-free and model-based influences on choice i...

Binary logistic regression model showing the effect of side of presentation, experience group, type of manipulation and interaction between group and type of manipulation on choices of the owner's face (S+) in the test trials of Experiment 2.

Elisa Pitteri (633775)
Paolo Mongillo (633776)
Paolo Carnier (633777)
Lieta Marinelli (633778)
Ludwig Huber (218979)

September 2014

OR = odds ratio, CI = confidence interval.Binary logistic regression model showing the...

Results of conditional logistic regression testing for the effects of various factors on preference using the first choice made during trials.

Rebecca C. Wilcox (3243009)
Robert J. Fletcher Jr. (431571)

November 2016

Results of conditional logistic regression testing for the effects of various factors on preferen...

Logistic regression predicting whether participants exhibiting 100% choice consistency always or never EV maximized in choices 38–47 and 88–97 in Study 2.

Nathaniel J. S. Ashby (4675825)
Kinneret Teodorescu (6503957)

March 2019

Logistic regression predicting whether participants exhibiting 100% choice consistency always or nev...

Model predictions for participants choosing the predicted information compared to the alternative information in Round 2 of the four conditions, on the probability scale.

Charlotte O. Brand (11261491)
Alex Mesoudi (122989)
Thomas J. H. Morgan (6265379)

August 2021

Model predictions for participants choosing the predicted information compared to the alternative in...

Logistic regression predicting whether participants exhibiting 100% choice consistency always or never EV maximized in choices 38–47 in Study 1.

Nathaniel J. S. Ashby (4675825)
Kinneret Teodorescu (6503957)

March 2019

Logistic regression predicting whether participants exhibiting 100% choice consistency always or nev...

Results of the multiple logistic regressions after automatic selection, approach 1, early detectable parameters and approach 2, later detectable parameters.

Olaf Rose (2813935)
Hugo Mennemann (2813944)
Carina John (2813947)
Marcus Lautenschläger (2813938)
Damaris Mertens-Keller (2813932)
Katharina Richling (2813965)
Isabel Waltering (2813941)
Stefanie Hamacher (2813956)
Moritz Felsch (2813953)
Lena Herich (116776)
Kathrin Czarnecki (2813962)
Corinna Schaffert (2813950)
Ulrich Jaehde (93895)
Juliane Köberlein-Neu (2813959)

June 2016

Results of the multiple logistic regressions after automatic selection, approach 1, early detecta...

Logistic regression model of the impact of setting, prevention level, and study design on the odds that included studies would report a significant or non-significant finding.

Tina M. Olsson (11119533)
Knut Sundell (5600987)

February 2023

Logistic regression model of the impact of setting, prevention level, and study design on the odds t...

Stay probability transition-outcome interaction for Q(1) agent due to trial start action values.

Thomas Akam (836782)
Rui Costa (75687)
Peter Dayan (26734)

December 2015

(A) Predictor loadings for logistic regression model predicting whether the Q(1) ag...

Experimental design and behavioural results.

Laurence T. Hunt (458000)
Mark W. Woolrich (458001)
Matthew F. S. Rushworth (458002)
Timothy E. J. Behrens (408036)

September 2013

(A) Experimental timeline. The experiment contained two types of trial in which subjects chose be...

Experiments 1 and 2: Proportion (frequency) of choosing across showups and overall.

Nina Tupper (6057683)
Melanie Sauerland (571189)
James D. Sauer (511617)
Nick J. Broers (571192)
Steve D. Charman (5769197)
Lorraine Hope (495851)

February 2019

Experiments 1 and 2: Proportion (frequency) of choosing across showups and overall.</p

Results of two models estimated with the data obtained from a choice experiment: A conditional logit (CL) and a latent class (LC) model.

Stephen T. Garnett (129810)
Gillian B. Ainsworth (582317)
Kerstin K. Zander (346838)

June 2018

Results of two models estimated with the data obtained from a choice experiment: A conditional lo...

Experiments 1 and 2: Final models of logistic regressions predicting choosing on showups 2 and 3 based on previous choosing and target-presence.

Abstract

Extracted data

Experiments 1 and 2: Final models of logistic regressions predicting choosing on showups 2 and 3 based on previous choosing and target-presence.

Abstract

Extracted data

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