Defining Variables for Analyzing Gender Bias in Remote Pair Programming
by Pair Programming TechnologySeptember 16th, 2024
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This section details the variables used to study gender bias in remote pair programming, including metrics on productivity, technical competency, and interaction behavior, with scope for future variable additions.
Table of Links
5 Execution Plan and 5.1 Recruitment
5.2 Training and 5.3 Experiment Execution
Acknowledgments and References
3.1 Independent Variables
group nominal factor representing the group (experimental or control) subjects are randomly allocated to.
time nominal factor representing the moment (t1 and t2) in which the first and second in–pair tasks are performed by the subjects.
induced partner’s gender (ipgender) nominal factor representing the induced partner’s binary gender (man or woman for the experimental group, and none for the control group, in which gender is not revealed) during the in–pair tasks. This variable, which is directly related to the gender bias treatment, is operationalized by means of the instructions provided at the beginning of the tasks (“. . .work with your partner. She is . . . ”) and by the gendered avatar that is visible during the in–pair tasks for the experimental group and that is swapped between tasks. Subjects in the control group receive no treatment, i.e., they do not see any information about the gender of their partners in any way, neither textual nor graphical.
gender nominal factor representing subject’s gender, which may be man, woman, or any other option as freely expressed in the demographic form during registration.
Authors:
(1) Amador Durán, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]);
(2) Pablo Fernández, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]);
(3) Beatriz Bernárdez, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]);
(4) Nathaniel Weinman, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA ([email protected]);
(5) Aslı Akalın, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA ([email protected]);
(6) Armando Fox, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA ([email protected]).
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