Chapter 6: Staffing decisions Flashcards

1
Q

Staffing

A

Activities concerning the inflow, throughput and outflow of personnel.
Goal: The right person at the right time and right place in the organization, in order to execute the planned activities and projects.

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2
Q

Quality of staffing

A

Influence the organizational performance.
- Formal Job analysis.
- Internal selection for important positions.
- Validated selection instruments.

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3
Q

What are the stakeholders in the staffing process?

A
  • Line management (gather information from applicatns usaually in the form of one or more interviews. The line manager will be expected to supervise the new member).
  • Co-workers ( They have to work with the new member).
  • Applicants
  • Other; Personnel department, recruitment&selection agency, society, applicant’s family.
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4
Q

Selection Ration (SR)

A

Is a ratio that shwos how many people are hired and how many people are assessed. So a low SR is good because the company then has a lot of choise and can choose the best candidate.

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5
Q

Good fit between person and job

A

Good fit between abilities/skills and job demands has a positive influence on work performance.

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6
Q

Misfit in staffing outcome

A

Can lead to negative consequences.

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7
Q

Criterion validity

Evaluation of selection procedures

A

Especially predictive validity based on test scores, draw accurate conclusion now about performance in the future.

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8
Q

Utility analysis

A

Is a technique that assesses the economic return on investment of human resources interventions such as staffing and training.

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9
Q

Base rate

A

The percentage of the current workforce that is performing sucessfully. If the base rate is very high than a new member is not capable of changing the rate a lot.

IF you combine different test methods you can get the highest validity.

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10
Q

What are two types of forecasting errors?

A
  • False positives: Accepted, but performed poorly.
  • False negative: Rejected, but would have performed successfully.
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11
Q

What are two types of correct forecasting?

A
  • True positives: Accepted, and performed successfully.
  • True negatives: Rejected, and would have performed poorly.

Shift of cut-off score from X to W leads to: Decrease of false positive (A) and Increase of false negative (B).
Shift of cut-off score from X to Z leads to: Decrease of false negatives (C) and increase of false positives (D).

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12
Q

What are the three factors where division of prediction errors is dependent on?

A
  1. Validity of selection instrument.
  2. Base rate; number of suitable candidates for the job.
  3. Selection ratio: number of vacancies dividied by the number of applicants (the lower the score, the better).
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13
Q

What is the criterion-referenced?

Determining cut-off score

A

The absolute desired level of performance.
- Performance of current employees.
- Supervisor and/or expert judgements of desired performance.

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14
Q

What is the norm-referenced?

Determing cut-off score

A

Relative (e.g. based on average).
- Order
- Percentiles
- Standardized scores

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15
Q

How to combine information from different sources?

A
  • Clinical method: Subjective, intuitive.
  • Statistical method: Based on quantitative data.
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16
Q

Clinical vs Statistical method?

A
  • Availability of empirical data.
  • Statistical method is better in general; the same predictors are used for all candidates, explicit formula, predictors are weighted.
17
Q

Compensatory systems

Selection systems

A

Allow low scores in some tests of an applicant to be compensated by his or her high scores in other tests.

18
Q

Non-compensatory systems

A

In which an individual has no opportunity to compensate at a later assessment stage for a low score in an earlier stage of the assessment process.
- Hurdle system
- Multiple hurdle system

19
Q

Hurdle system

A

Only when an applicant achieves the lowest required score of a test, his or her other scores can be considered in a follwoing compensatory manner.

20
Q

Multiple-hurdle system

A

With every test a minimum should be achieved for further consideration so no compensation is possible.

21
Q

Multiple regression analysis

A

Is a method of analysis that results in an equation for combining test scores into a composite based on the correlations among the test scores and the correlations of each test score with the performance score.

22
Q

Cross-validation

A

Is a process used with multiple regression techniques in which a regression equatin developed on a first sample is tested on a second sample to determine if it still fits well.