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Answer :
Final answer:
Judgmental approaches rely on intuition and expert opinions and are subjective, while statistical approaches are objective, rely on data analysis, and can be tested and disproven scientifically. This is based on Judgmental vs Statistical Approach.
Explanation:
The difference between judgmental and statistical approaches to collecting and combining applicant information lies in the methods of analysis and reliance. Judgmental approaches usually rely on intuition, experience, and personal judgment. Evaluation in these approaches are subjective and often involve expert opinions. On the other hand, statistical approaches are more objective as they depend on data analysis, the application of statistics, and can identify patterns in larger volumes of data. Each approach has different strengths and weaknesses, and the appropriateness of their use depends on the specific research question and context.
For example, in a judgmental approach, if an employer is evaluating an employee, they might observe that employee in various settings and occasions to gather substantial evidence for their evaluation. This could involve interpreting qualitative data like an employee's interaction with colleagues and stakeholders. On the contrary, a statistical approach to the same situation might involve analyzing quantitative data like sales performance, tardiness, absenteeism, etc.
It is important to note that unlike judgmental approaches, statistical approaches may be tested and disproven scientifically. Therefore, judgments should be informed by reliable and valid data where possible to mitigate bias and error in the overall decision-making process.
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