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Increasing systematicity leads to better selection decisions: Evidence from a computer paradigm for evaluating
Martin Bäckström1, Fredrik Björklund1
1Department of Psychology, Lund University, Lund, Sweden.
Plos One
|May 26, 2017
Summary
Increasing systematicity in recruitment, using tools like job analysis, improves candidate selection. This effect is stronger when recruiters are more motivated, supporting its value in personnel selection.
Area of Science:
- Industrial/Organizational Psychology
- Human Resources Management
- Decision Science
Background:
- Traditional recruitment processes may lack systematicity, potentially leading to suboptimal candidate selection.
- Industrial/Organizational (I/O) psychology emphasizes systematic approaches for effective personnel selection.
- Evaluating the impact of systematicity requires controlled experimental designs.
Purpose of the Study:
- To experimentally test whether increased systematicity in recruitment leads to better selection decisions.
- To investigate the role of motivation in the effectiveness of systematic recruitment tools.
- To validate a computerized paradigm for assessing selection tools.
Main Methods:
- A computerized laboratory experiment was designed to manipulate the level of systematicity in recruitment.
- Participants were presented with job information and applicant profiles on a computer.
- Experimental conditions varied the availability of tools for job analysis and criterion-based judgment.
Main Results:
- Increased systematicity in recruitment significantly improved the selection of more qualified candidates.
- The positive effect of systematicity was more pronounced when participants' motivation to perform the task was higher.
- Results were supported by process-related measures, indicating enhanced decision-making.
Conclusions:
- Systematicity is a valuable characteristic in personnel selection processes, as supported by laboratory findings.
- The developed computerized paradigm effectively demonstrates the benefits of systematicity in selection.
- This methodology can be used to evaluate new selection tools efficiently before large-scale field studies.
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