Interview with an Avatar: Comparing Online and Virtual Reality Perspective Taking for Gender Bias in STEM Hiring Decisions

De-identified data files (.xlsx) for Interview with an Avatar: Comparing Online and Virtual Reality Perspective Taking for Gender Bias in STEM Hiring Decisions - Studies 1 and 2

The dataset represents participant response values for the outcomes evaluated in the paper. These are virtual embodiment (EQ), competence, hireability, likeability, empathy, self-other overlap (IOS), participant gender, embodiment, and candidate choice.

Variable naming convention:
Gender (0 = man, 1 = woman)
Embodiment (0 = congruent, 1 = incongruent)
Choice (0 = male candidate, 1 = female candidate)

Competence, Hireability, Likeability, Empathy, and IOS are measured at Time 1 and Time 2. The first number following the variable name indicates time and the second indicates the measure's item (e.g., Competence_1_1, Competence_2_1, etc.).

EQ = Embodiment Questionnaire; item numbers correspond to those provided in the original article (Gonzalez-Franco & Peck, 2018). This measure of virtual immersion was used only in Study 2.

未经身份识别的数据文件（.xlsx）：《与虚拟化身访谈：比较在线与虚拟现实视角下的STEM领域招聘决策中的性别偏见》研究1和2 - 数据集描述。
该数据集反映了论文中评估的参与者响应值。这些包括虚拟化身（EQ）、能力、可雇佣性、受欢迎程度、同理心、自我-他人重叠（IOS）、参与者性别、化身以及候选人选择。
变量命名规范：
性别（0 = 男性，1 = 女性）
化身（0 = 一致，1 = 不一致）
选择（0 = 男性候选人，1 = 女性候选人）
能力、可雇佣性、受欢迎程度、同理心和IOS在时间1和时间2进行测量。变量名后的第一个数字表示时间，第二个数字表示测量项目的编号（例如，Competence_1_1、Competence_2_1等）。
EQ = 化身问卷；项目编号与原始文章（Gonzalez-Franco & Peck, 2018）中提供的相一致。该虚拟沉浸感的测量仅用于研究2。