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The Effects of Unproctored Internet Testing on Applicant Pool Size and Diversity: Using Interrupted Time Series to Improve Causal Inference
Elena M. Auer
, Katelyn J. Cavanaugh
, Jessica R. Petor
, Ted B. Kinney
,
Richard N. Landers
Psychology (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
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Dive into the research topics of 'The Effects of Unproctored Internet Testing on Applicant Pool Size and Diversity: Using Interrupted Time Series to Improve Causal Inference'. Together they form a unique fingerprint.
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Keyphrases
Causal Inference
100%
Pool Size
100%
Interrupted Time Series
100%
Unproctored Internet Testing
100%
Mobile Devices
66%
Employee Selection
66%
Expanded Access
33%
Analytic Approach
33%
Selection Mechanism
33%
Application Process
33%
Common Notion
33%
General Effects
33%
Manufacturing Organizations
33%
Time Series Analytics
33%
Unproctored Testing
33%
Longitudinal Effects
33%
Psychology
Causal Inference
100%
Mobile Device
100%
Time Series Analysis
50%
Earth and Planetary Sciences
Time Series
100%
United States of America
50%
Agricultural and Biological Sciences
Time Series Analysis
100%