Salary Askk & Estimate throughout transparency condittions, Within suject Anchoring Experiment (Austria, Consulting Students) – Dataset

his dataset contains anonymized responses (N = 99) from a within-subject Qualtrics experiment on the effect of salary transparency in Austrian job advertisements. Respondents evaluated four anonymized consulting job postings (identical except for company name and minor wording changes) under three experimental conditions: T1_ND – No salary disclosure: “Salary: For this position, an attractive salary is envisaged.” T2_MD – Minimum salary disclosure: “Salary: In accordance with the collective bargaining agreement, a minimum gross salary of EUR 3,069.98 per month is envisaged for this position. Willingness to excess payment depending on qualifications and experience.” T3_RD – Range disclosure: “Salary: For this position, a gross salary between EUR 3,000.00 and EUR 3,900.00 per month is envisaged, depending on qualification and experience.” For each condition, participants answered the following prompts: “What monthly gross salary do you expect for this position?” (Tx_estimate) “What monthly gross salary do you ask for in the negotiation?” (Tx_ask) Likert (1–7) scale evaluations of the ad: I feel confident in my estimate (Tx_confidence) The salary seems fair (Tx_fairness) The salary is negotiable (Tx_negotiability) The salary information is reliable (Tx_reliability) This role is attractive (Tx_attractiveness) I am qualified for this role (Tx_qualified) Demographics include: Age (“How old are you?”) Gender (“What best describes you?”: Male, Female, Non-binary, Rather not say, Other) Residence (“In which country do you currently reside?”; collapsed in public data into EU vs. Rest of World) Years living in Austria Enrollment/graduation status in past 3 years Education status (Bachelor current/degree, Master current/degree, Other) Field of study (Econ/Business, Other) GPA (Austrian scale, inverted for regression) Years of work experience (overall and relevant) Employment status (Employed, Maternity leave, Job seeking, Study) Attitudes (Likert 1–7): “I am career driven”, “I am confident in my negotiation skills” Sources of salary information (multiple choice: Family/Partner, Acquaintances, Chamber of Labor, Trade Union, AMS, Collective Agreements, Job Ads, Online Job Portals, Other) All identifiers, free-text fields, GPS, and timing/paradata were removed. The dataset is suitable for replication and secondary analysis of the bachelor thesis by Kos (2025).本数据集包含99份匿名化回复（N=99），来自一项关于奥地利招聘广告薪资透明度影响的被试内Qualtrics实验。受访者需评估四份匿名化的咨询岗位招聘启事（除公司名称与少量措辞调整外，其余内容完全一致），并在三种实验条件下完成作答： T1_ND – 无薪资披露："薪资：本岗位拟提供具有竞争力的薪资待遇。" T2_MD – 最低薪资披露："薪资：根据集体谈判协议，本岗位拟提供每月3069.98欧元的税前最低薪资，可根据应聘者资质与工作经验提供额外薪资。" T3_RD – 薪资范围披露："薪资：本岗位拟提供每月3000.00欧元至3900.00欧元的税前薪资，具体根据应聘者资质与工作经验确定。" 针对每种实验条件，参与者需回答以下问题： "您对该岗位的月度税前薪资预期为多少？"（Tx_estimate） "您在薪资谈判中期望的月度税前薪资为多少？"（Tx_ask） 以及基于李克特1-7分量表的招聘启事评价： 我对自己的薪资预期有信心（Tx_confidence） 该薪资看起来公平合理（Tx_fairness） 该薪资可协商（Tx_negotiability） 该薪资信息可靠（Tx_reliability） 该岗位具有吸引力（Tx_attractiveness） 我符合该岗位的任职要求（Tx_qualified） 人口统计学变量包括： 年龄（问题："您的年龄是多少？"） 性别（问题："以下哪项最符合您的性别认同？"：男性、女性、非二元性别、不愿透露、其他） 居住地（问题："您当前居住在哪个国家？"；公开数据中已将其合并为欧盟地区与世界其他地区两类） 在奥地利的居住年限 近3年的入学/毕业状态 学历状态（在读本科/已获本科学位、在读硕士/已获硕士学位、其他） 研究领域（经济/商科、其他） 平均绩点（采用奥地利评分体系，为便于回归分析已进行反向转换） 工作年限（总工作年限与相关工作年限） 就业状态（在职、休产假、求职、在读） 态度类李克特1-7量表问题："我具有职业上进心"、"我对自己的谈判技巧有信心" 薪资信息来源（多选题：家人/伴侣、熟人、劳工商会、工会、AMS、集体协议、招聘启事、在线求职平台、其他） 所有识别信息、自由文本字段、GPS数据以及时间/元数据均已移除。本数据集可用于复制Kos（2025）的学士学位论文研究及二次分析。