This gender_perfeal_s2_readme.txt file was generated on 2025-12-07 by Fabienne Wöhner


THE FOLLOWING INFORMATION REFERS TO STUDY 2. 

-------------------
GENERAL INFORMATION
-------------------

1. Title of dataset: gender_perfeval_s2_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: 2024-03-13 to 2024-03-27

4. Geographic location of data collection:
The data was collected via an online questionnaire. It was distributed among German-speaking Swiss residents via the online-panel "Intervista". 

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.


-------------------
SHARING/ACCESS INFORMATION
-------------------

Recommended citation for this dataset:  
Wöhner, Fabienne, and Franzen, Axel. 2025. Gender and the Evaluation of Performance: Evidence from Experimental Studies. Study 2 Dataset. Version v1.0. University of Bern: BORIS Portal. https://doi.org/10.48620/92898


---------------------
DATA & FILE OVERVIEW
---------------------
1. File List: gender_perfeval_s2_v1.0.dta, gender_perfeval_s2_v1.0.xlsx, gender_perfeval_s2_v1.0.csv, codebook_gender_perfeval_s2_v1.0.xlsx, codebook_gender_perfeval_s2_v1.0.pdf

      Filename: gender_perfeval_s2_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 2).
      Date of creation: 2025-12-02

      Filename: gender_perfeval_s2_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 2). The spreadsheet contains value labels (where available).
      Date of creation: 2025-12-03

      Filename: gender_perfeval_s2_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 2). The spreadsheet contains only answer codes and no value labels.
      Date of creation: 2025-12-03

      Filename: codebook_gender_perfeval_s2_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 2). 
      Date of creation: 2025-12-07

      Filename: codebook_gender_perfeval_s2_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 2).
      Date of creation: 2025-12-07


2. Relationship between files: 
	gender_perfeval_s2_v1.0.dta contains all data, variable and value labels as well as the question wording (notes attached to variables).
	
	gender_perfeval_s2_v1.0.xlsx and gender_perfeval_s2_v1.0.csv contain all data. 
	The .xlsx file presents the value labels, if available, and the .csv file presents the numeric value codes.
	
	The codebooks (codebook_gender_perfeval_s2_v1.0.xlsx and codebook_gender_perfeval_s2_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.


--------------------------
METHODOLOGICAL INFORMATION
--------------------------
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 questionnaire was distributed via "Intervista", a major online panel provider in Switzerland. 
	Only German-speaking Swiss residents aged 18–65 were contacted. 
	The panel was pre-stratified according to gender (two groups) and age (four groups), 
	and participants were then randomly selected from within these groups.  
	
	In addition to our own questions, the dataset contains some general socio-economic information about the respondents, 
	collected and provided by Intervista that was matched to our data.

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. Finally, we matched the socio-economic information about the respondents (conduced by Intervista) using an anonymised identifier variable also provided by Intervista. These variables are labeled with 'md_' at the start of the variable name.


3. Experimental setup and conditions:
The main goal of this study was to conduct an online experiment on gender and performance evalaution. For this, participants viewed two-minute video talk on different topics that were presented by different actors. 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 used pictures of real actors to create human-like avatars. Another experimental condition in this study was "actor versus avatar." However, the avatar data is not included in this dataset because we relied only on real humans to investigate possible gender differences in performance evaluation. 


-----------------------------------------------------
DATA-SPECIFIC INFORMATION FOR gender_perfeval_s2_v1.0
-----------------------------------------------------

1. Number of variables: 36

2. Number of cases/rows: 1415

3. Variable List: id, randexp, topic, genderpres, attrpres, Name, avatarpres, topiccheck, percgender, comp, attr, symp, clever, grade, convince, know, trust, leftright, lifesat, equalopp, childsuff, rolegender, consent, age, sex, md_bildung, md_beruf, md_erwerb, md_zivil, md_hhgr, md_ek, md_schweiz, datetime, duration, duration_min, device_type.

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