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Hra 310 chapter 7
1.
Chapter Seven Measurement and Decision-Making Issues
in Selection
2.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–2 Chapter Outline • Statistical Methods in Selection • Reliability • Validity • Decision Making in Selection • Utility of a Selection System
3.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–3 The Selection Process • Measurement – Ensuring that selection tests are reliable and valid • Decision making – Combining information about a person to make hiring decision • Evaluation – Making sure hiring decisions increase firm efficiency and profitability
4.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–4 Statistical Methods in Selection • Correlation Analysis – Degree of linear relationship between variables – Commonly measured by the Pearson product moment correlation coefficient • Regression Analysis – Best fitting line equation
5.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–5 Reliability • Consistency of measurement • Systematic Error versus Random Error • Methods of Measuring Reliability – Test-Retest – Interrater Reliability – Internal Consistency
6.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–6 Validity • Content Validity – Are items a representative sample – Based on job analysis – Determined by judgment of job experts – Lawshe method
7.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–7 Validity (cont’d) • Criterion-Related Validity – does a selection test adequately predict an outcome – Concurrent Validation • Current employees • Predictor and criterion measured at same time • Problem = respresentativeness of sample • Problem = restriction of range
8.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–8 Validity (cont’d) • Predictive Validation – Job applicants – Predictor measured (time 1) – Applicants hired without predictor influence – Criterion measured (time 2) – Problem = sample size needed – Problem = time between T1 and T2
9.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–9 Special Concerns in Validity • Test Fairness – Mean differences in test scores – Equitable treatment – Differential prediction – Differential validity • Validity Generalization
10.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–10 Decision Making in Selection • Additive Models – Higher score = better score – Compensatory model • Multiple Cutoff – Minimum score for each test – Non-compensatory model • Multiple Hurdle – Sequential testing – Minimum score for each test – Non-compensatory model
11.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–11 Decision Making (cont’d) • Profile Matching – Ideal pattern of scores • Adjusting Test Scores of Minority Group Members – In most cases illegal – Fixed bands – Sliding bands
12.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–12 Utility of a Selection System • Efficiency of Selection • Types of selection decisions – Quadrant A: True-Positive Decisions – Quadrant B: False-Negative Decisions – Quadrant C: True-Negative Decisions – Quadrant D: False-Positive Decisions
13.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–13 Utility (cont’d) • Selection Efficiency Is Affected By: – Validity – Selection Ratio – Base Rate of Success • Taylor-Russell Tables – Standard Deviation of Performance in Dollars – Costs Associated with Selection
14.
Copyright © Houghton
Mifflin Company. All rights reserved. 7–14 Review • Statistical Methods in Selection • Reliability • Validity • Decision Making in Selection • Utility of a Selection System
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