Average effects: De-identified Group Control Group 1 Control Group 2 Percentage point differences ( values*) p A. B. C. Number Name Name De-identified De-identified Male % % % Vs. Male Vs. Female Vs. Female 1 Cassie Higgins Rod Higgins 2 Tony Langford Carla Langford 3 Sita Singh Sanjay Singh 4 Claire Rhys O’Toole O’Toole 5 Lisa Kent Mark Kent 6 Jake Lewis Lucy Lewis 7 Ahmed Saqqaf Fatima Saqqaf Chang (Lawrence) 8 Wei (Lulu) Chen Chen 9 Natasha Mitchell Brett Mitchell 10 Skye Elliot Joel Elliot 11 Andrew Brennan Lauren Brennan 12 Geoffrey McIntyre Emily McIntyre 13 Kylie Brown Steven Brown 14 Tegan Skinner Craig Skinner 15 Gary Richards Wendy Richards 16 George Johnson Tamara Johnson D. AVERAGE EFFECTS (all applicants) * Note: values are based on estimations (see Table x, below) for each applicant in which the outcome is regressed on an indicator for when an applicant was identified as male p (A) vs. de-identified, or female (B) vs. de-identified, in a control group; values in C. are based on estimations for each applicant in which the outcome is regressed on an indicator p for when an applicant was identified as male vs. female in the control groups. For D. values are based on estimations (as for A-C) for all applicants. p Table 3: Gender Bias Average Scores Assigned (potentially suitable applicants): – Average effects: De-identified Group Control Group 1 Control Group 2 Score differences ( values*) p Number Avg Name Avg Name A. B. C.
De-identified Group Control Group 1 Control Group 2 Average effects: Percentage point differences ( p values*) Number % Name % Name % A. De-identified Vs. Male B. De-identified Vs. Female C. Male Vs. Female 1 Cassie Higgins Rod Higgins 2 Tony Langford Carla Langford 3 Sita Singh Sanjay Singh 4 Claire O’Toole Rhys O’Toole 5 Lisa Kent Mark Kent 6 Jake Lewis Lucy Lewis 7 Ahmed Saqqaf Fatima Saqqaf 8 Chang (Lawrence) Chen Wei (Lulu) Chen 9 Natasha Mitchell Brett Mitchell 10 Skye Elliot Joel Elliot 11 Andrew Brennan Lauren Brennan 12 Geoffrey McIntyre Emily McIntyre 13 Kylie Brown Steven Brown 14 Tegan Skinner Craig Skinner 15 Gary Richards Wendy Richards 16 George Johnson Tamara Johnson D. AVERAGE EFFECTS (all applicants) * Note: p values are based on estimations (see Table x, below) for each applicant in which the outcome is regressed on an indicator for when an applicant was identified as male (A) vs. de-identified, or female (B) vs. de-identified, in a control group; p values in C. are based on estimations for each applicant in which the outcome is regressed on an indicator for when an applicant was identified as male vs. female in the control groups. For D. p values are based on estimations (as for A-C) for all applicants. Table 3: Gender Bias – Average Scores Assigned (potentially suitable applicants): De-identified Group Control Group 1 Control Group 2 Average effects: Score differences ( p values*) Number Avg Name Avg Name A. B. C.
pre-analysis-plan-UB.docx