This gender_perfval_s1_readme.txt file was generated on 2025-12-07 by Fabienne Wöhner


THE FOLLOWING INFORMATION REFERS TO STUDY 1. 

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GENERAL INFORMATION
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1. Title of dataset: gender_perfeval_s1_v1.0

2. Contributor information: 
The data was collected as part of a research project on gender and performance evaluation led by Professor Dr. Axel Franzen and Dr. Fabienne Wöhner.

3. Date of data collection: 2022-03-24 to 2022-08-23

4. Geographic location of data collection:
The data was collected via an online questionnaire. It was distributed to bachelor's and master's students at the University of Bern in Switzerland via the admissions office. 

5. Keywords describing the subject of your dataset: gender, gender bias, attractiveness, performance evaluation, online Experiment, survey experiment

6. Information about funding sources that supported the collection of the data: The project did not receive any specific funding.


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SHARING/ACCESS INFORMATION
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Recommended citation for this dataset: 
Wöhner, Fabienne, and Franzen, Axel. 2025. Gender and the Evaluation of Performance: Evidence from Experimental Studies. Study 1 Dataset. Version v1.0. University of Bern: BORIS Portal. https://doi.org/10.48620/92898


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DATA & FILE OVERVIEW
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1. File List: gender_perfeval_s1_v1.0.dta, gender_perfeval_s1_v1.0.xlsx, gender_perfeval_s1_v1.0.csv, codebook_genderperfeval_s1_v1.0.xlsx, codebook_genderperfeval_s1_v1.0.pdf

 	Filename: gender_perfeval_s1_v1.0.dta
      	File format: .dta (Stata)
      	File Encoding: utf-8
      	Short description: This is a labeled dataset for an online experiment investigating how presenters' gender and attractiveness influence evaluations of two-minute video presentations (Study 1).
      	Date of creation: 2025-12-07

 	Filename: gender_perfeval_s1_v1.0.xlsx
      	File format: xlsx (Excel)
      	File Encoding: utf-8
      	Short description: This spreadsheet contains data from an online experiment that investigated how presenters' gender and attractiveness influenced evaluations of two-minute video presentations (Study 1). The spreadsheet contains value labels (where available).
      	Date of creation: 2025-12-07

      	Filename: gender_perfeval_s1_v1.0.csv
      	File format: csv (comma-separated values)
      	File Encoding: utf-8
      	Short description: This spreadsheet contains data from an online experiment that investigated how presenters' gender and attractiveness influenced evaluations of two-minute video presentations (Study 1). The spreadsheet contains only answer codes and no value labels.
      	Date of creation: 2025-12-07

      	Filename: codebook_gender_perfeval_s1_v1.0.xlsx
      	File format: xlsx
      	File Encoding: utf-8
      	Short description: This is the Excel version of the codebook for dataset "gender_perfeval_s2_v1.0" (Study 1). 
      	Date of creation: 2025-12-07

      	Filename: codebook_gender_perfeval_s1_v1.0.pdf
      	File format: pdf
      	File Encoding: utf-8
      	Short description: This is the PDF version of the codebook for dataset "gender_perfeval_s2_v1.0" (Study 1).
      	Date of creation: 2025-12-07


2. Relationship between files:
	gender_perfeval_s1_v1.0.dta contains all data, variable and value labels as well as the question wording (notes attached to variables).
	
	gender_perfeval_s1_v1.0.xlsx and gender_perfeval_s1_v1.0.csv contain all data. 
	The .xlsx file presents the value labels, if available, and the .csv file presents the numeric answer codes.
	
	The codebooks (codebook_gender_perfeval_s1_v1.0.xlsx and codebook_gender_perfeval_s1_v1.0.pdf) explain the content of the variables, answer codes and their  labels, and present the question wording. Please refer to the codebook when using the .csv or .xlsx versions of the data, in order to access all the relevant information. The .dta dataset already includes all relevant information.


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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data: 
The data were collected using an online questionnaire conceptualised and programmed by the project's Principal Investigators (PIs). 
The main topic of the survey was the motivation and study situation of students at the University of Bern. We also incorporated a video experiment on gender and performance evaluation into the survey, which fit the academic context. 
The survey was distributed to bachelor's and master's students at the University of Bern in Switzerland via the admissions office. 


2. Methods for processing the data: 
The data was prepared and processed by the PI Fabienne Wöhner. The raw data were labeled using Stata. Concrete variables reflecting the experimental conditions were derived from the raw data. For example, in experimental condition 1, a video about a geoengineering method was presented by an attractive woman. The new variable 'genderpres' was assigned the value 1 for a female presenter and the variable 'attrpres' was assigned the value 1 to reflect the fact that the presenter was more attractive. The variable 'topic' was assigned the value 0 to represent the topic of geoengineering. In addition, we ensured that the codes and labels accurately reflected the content. For example, if the response scale ranged from 0 to 10 but the raw data showed values from 1 to 11 for technical reasons, the final data was adjusted accordingly. 
We removed duplicates from the dataset (students who answered the survey twice) and always kept the first answer. 
For this particular dataset, we removed all variables that weren't relevant to the video experiment and made sure that the data was completely anonymous. 


3. Environmental/experimental conditions:

To investigate the impact of gender on performance evaluations, participants watched a two-minute video of a talk on various topics. The presenters were four human-like avatars. The videos were generated using Synthesia, an online AI video creator. The avatars were from Synthesia's collection. The four chosen avatars varied in sex and attractiveness. We randomly assigned one video to each respondent and let them evaluate the presenter and their talk.
	Experimental conditions:
		- Gender of presenter: male versus female 
		- Attractiveness of presenter: attractive versus less attractive
		- Topic of the video presentation: Geoengineering versus training method versus pedagogical approach
		-> 2 x 2 x 3 = 12 experimental conditions

Furthermore, we included an experimental variation to test the impact of social influence. In some cases, we provided information on how much others found the video convincing before measuring respondents' own level of conviction of the method [randomized]. There were three groups:
  	- No additional information provided
  	- "76.2% of all people who watched this video found the method convincing"
  	- "23.8% of all people who watched this video found the method convincing"
At the end of the questionnaire, respondents who received additional information were debriefed that the number was fictitious.


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DATA-SPECIFIC INFORMATION FOR gender_perfeval_s1_v1.0
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1. Number of variables: 17

2. Number of cases/rows: 3157

3. Variable List: respgender, age, randexp, topic, genderpres, attrpres, name, comp, attr, like, clever, convince, aschconvince, grade, datetime, duration, device_type

	Please refer to the codebook for descriptions of the variables, answer codes and labels, and question wording.    

4. Missing values: Empty cells in .xlsx and .csv files, as well as . in .dta files, represent system missing values. This usually occurs when a respondent does not finish the survey and thus does not see these variables. If a respondent refused to answer a specific question but saw it, this is usually indicated separately, for example, with the missing value code -88. 	
