Social media profiles, recruiters and recruitment decisions

Last registered on January 28, 2022

Pre-Trial

Trial Information

General Information

Title
Social media profiles, recruiters and recruitment decisions
RCT ID
AEARCTR-0008793
Initial registration date
January 28, 2022

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
January 28, 2022, 10:31 AM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Affiliation
Friedrich-Alexander-Universität Erlangen-Nürnberg

Other Primary Investigator(s)

PI Affiliation
Friedrich-Alexander-Universität Erlangen-Nürnberg
PI Affiliation
Friedrich-Alexander-Universität Erlangen-Nürnberg

Additional Trial Information

Status
In development
Start date
2022-02-01
End date
2022-06-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The importance of social media in recruitment is increasing. More and more people are open about many aspects of their personal life in their SM profiles and evidence from employers surveys and correspondence studies suggests data from social media is increasingly used and increasingly important in the hiring process.
However, correspondence studies do not identify the individual making the decision, and so, are limited in their ability to describe the mechanisms behind this result.
In our study, we use an experiment simulating the screening of job applicants to elucidate how the recruiter evaluation of the candidate is affected by the interaction between recruiter characteristics such as gender, education, and attitudes toward the social media, applicant characteristics available through social media profiles and lack of social media profile.
External Link(s)

Registration Citation

Citation
Baker, Edmund, Veronika Grimm and Yuval Ofek-Shanny. 2022. "Social media profiles, recruiters and recruitment decisions." AEA RCT Registry. January 28. https://doi.org/10.1257/rct.8793
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2022-02-01
Intervention End Date
2022-06-01

Primary Outcomes

Primary Outcomes (end points)
Application Score
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Time spent on an application, Time spent on CV, time spent on SM, note length, questionnaire information
Secondary Outcomes (explanation)
While we don't measure time on CV and time on SM data separately, we intend to use the recording of the mouse click to give proxies for these measures.

Experimental Design

Experimental Design
Subjects are asked to read a job description for an office manager and then to assess a number of randomly generated combinations of CVs and SM data that vary according to work experience, education, interests, and gender. Subjects are asked to give each CV a score from one to ten. SM information includes - Control SM profile, Bad SM profile, Mental health issues, Employment gap, and lack of SM profiles.
Experimental Design Details
Not available
Randomization Method
Randomization by a computer program.

Randomization Unit
application
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1500

We intend to start with 100 participants, make sure the output is technically correct and then continue to the rest of the experiment.
Sample size: planned number of observations
1500
Sample size (or number of clusters) by treatment arms
1500X Control SM data
1500X Bad SM data
1500X Mental health issues SM data
1500X Gap (as in CV) SM data
1500X Gap (different from CV) SM data
1500X No SM data
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We calculate a power of 80% for detecting a 0.36 effect size (units: applicant score from 0 to 10) (Given Bonferroni correction for five hypotheses.)
IRB

Institutional Review Boards (IRBs)

IRB Name
German Association for Experimental Economic Research e.V.
IRB Approval Date
2022-01-11
IRB Approval Number
hmgB38Ev