Table of Links Abstract and 1 Introduction 1.1 The twincode platform 1.2 Related Work 2 Research Questions 3 Variables 3.1 Independent Variables 3.2 Dependent Variables 3.3 Confounding Variables 4 Participants 5 Execution Plan and 5.1 Recruitment 5.2 Training and 5.3 Experiment Execution 5.4 Data Analysis Acknowledgments and References 5 EXECUTION PLAN We plan to perform a baseline experiment at the University of Seville in the first semester of the 2021–2022 academic course, and then, replicate the experiment at the University of California Berkeley at the beginning of the second semester. At each location, the experimental material provided to the students will be localized, i.e., in Spanish in Spain and in English at the USA, and the translation will be carefully checked by bilingual experimenters.[1] Independently of being the baseline or the replication, the execution plan of the twincode study consists of the steps described below. 5.1 Recruitment In this initial step, we plan to motivate the students to voluntarily participate in the study as an interesting experience in remote pair programming but without mentioning that the main goal is to study the effect of gender bias. We also remark that for the purpose of the study, they must remain anonymous to their partners, so they must neither mention nor ask any personal information. The interested students must register in the twincode platform providing some demographic data and accepting the participation conditions. Authors:
(1) Amador Durán, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain (amador@us.es);
(2) Pablo Fernández, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain (pablofm@us.es);
(3) Beatriz Bernárdez, I3US Institute, Universidad de Sevilla, Sevilla, Spain (beat@us.es);
(4) Nathaniel Weinman, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (nweinman@berkeley.edu);
(5) Aslı Akalın, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (asliakalin@berkeley.edu);
(6) Armando Fox, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (fox@berkeley.edu). This paper is available on arxiv under CC BY 4.0 DEED license. [1] At the time of writing, discussions are underway for another replication at the Northern Technical University at Ecuador. If this replication is eventually carried out, the experimental material will also be adapted to the local variant of Spanish if deemed necessary. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 1.1 The twincode platform 1.1 The twincode platform 1.2 Related Work 1.2 Related Work 2 Research Questions 2 Research Questions 3 Variables 3 Variables 3.1 Independent Variables 3.1 Independent Variables 3.2 Dependent Variables 3.2 Dependent Variables 3.3 Confounding Variables 3.3 Confounding Variables 4 Participants 4 Participants 5 Execution Plan and 5.1 Recruitment 5 Execution Plan and 5.1 Recruitment 5.2 Training and 5.3 Experiment Execution 5.2 Training and 5.3 Experiment Execution 5.4 Data Analysis 5.4 Data Analysis Acknowledgments and References Acknowledgments and References 5 EXECUTION PLAN We plan to perform a baseline experiment at the University of Seville in the first semester of the 2021–2022 academic course, and then, replicate the experiment at the University of California Berkeley at the beginning of the second semester. At each location, the experimental material provided to the students will be localized, i.e., in Spanish in Spain and in English at the USA, and the translation will be carefully checked by bilingual experimenters.[1] Independently of being the baseline or the replication, the execution plan of the twincode study consists of the steps described below. 5.1 Recruitment In this initial step, we plan to motivate the students to voluntarily participate in the study as an interesting experience in remote pair programming but without mentioning that the main goal is to study the effect of gender bias. We also remark that for the purpose of the study, they must remain anonymous to their partners, so they must neither mention nor ask any personal information. The interested students must register in the twincode platform providing some demographic data and accepting the participation conditions. Authors: (1) Amador Durán, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain (amador@us.es); (2) Pablo Fernández, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain (pablofm@us.es); (3) Beatriz Bernárdez, I3US Institute, Universidad de Sevilla, Sevilla, Spain (beat@us.es); (4) Nathaniel Weinman, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (nweinman@berkeley.edu); (5) Aslı Akalın, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (asliakalin@berkeley.edu); (6) Armando Fox, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (fox@berkeley.edu). Authors: Authors: (1) Amador Durán, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain (amador@us.es); (2) Pablo Fernández, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain (pablofm@us.es); (3) Beatriz Bernárdez, I3US Institute, Universidad de Sevilla, Sevilla, Spain (beat@us.es); (4) Nathaniel Weinman, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (nweinman@berkeley.edu); (5) Aslı Akalın, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (asliakalin@berkeley.edu); (6) Armando Fox, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA (fox@berkeley.edu). This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv available on arxiv [1] At the time of writing, discussions are underway for another replication at the Northern Technical University at Ecuador. If this replication is eventually carried out, the experimental material will also be adapted to the local variant of Spanish if deemed necessary.

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Twincode Execution Plan and Recruitment

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