The economic benefits of predicting job performance: 2 Classification efficiency
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York u.a.
Praeger
1991
|
| Ausgabe: | 1. publ. |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXIX, 255 S. |
| ISBN: | 0275939588 |
Internformat
MARC
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| 049 | |a DE-384 |a DE-12 |a DE-188 | ||
| 100 | 1 | |a Zeidner, Joseph |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a The economic benefits of predicting job performance |n 2 |p Classification efficiency |c Joseph Zeidner and Cecil D. Johnson |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a New York u.a. |b Praeger |c 1991 | |
| 300 | |a XXIX, 255 S. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 700 | 1 | |a Johnson, Cecil D. |e Verfasser |4 aut | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-003520432 | ||
Datensatz im Suchindex
| _version_ | 1804119830859612160 |
|---|---|
| adam_text | Contents
Tables and Figures ix
Preface xi
Abbreviations xv
Introduction xix
1. Personnel Utilization in the Assignment Process 1
A. Introduction 1
B. Extending Selection Utility to More Complex
Decision Situations 5
C. A Taxonomy of Applicant Employee Utilization
Processes 8
D. The Role of Mean Predicted Performance as a
Unifying Measure Readily Convertible to Utility 23
Appendix 1 A: A Simple Model of Hierarchical Layering 29
Appendix IB: A Four Variable Model for Evaluating
Alternative Classification Strategies 32
2. The Effect of the Assignment Process on Personnel
Utilization Benefits 43
A. The Comparison of Selection and Assignment
Algorithms 43
vi Contents
B. Assignment Approaches for Selection and
Classification 46
C. The Initial Implementation and Evolution of a
Classification Process 51
D. Decentralized Classification: Person by Person
Assignment Algorithms 54
3. Measurement of Classification Effectiveness 59
A. Introduction 59
B. Brogden s Contribution to the Measurement of
Potential Utilization Efficiency 61
C. Horst s Contribution to the Measurement of PAE and
PCE 72
D. Impact of Brogden s and Horst s Contributions on
the Subsequent Classification Literature 79
E. Rule of Thumb Measures of Classification Efficiency 89
Appendix 3A: Basic Concepts and Notation 93
Appendix 3B: The Joint Predictor Criterion Space and
the Factor Extension Process 97
Appendix 3C: The Use of Triangular Factors in Test
Selections 98
Appendix 3D: Horst s Concept of Differential Validity
and His Hd Index 101
Appendix 3E: Application of a Differential Validity
Concept to Measure the Classification
Efficiency of Sets of Test Composites 104
Appendix 3F: Comparison of Brogden s Classification
Efficiency Measure with Horst s DV
Index, Hd 106
4. Research Results on Classification Efficiency 109
A. Research Issues 109
B. The Investigation of Classification Policy Issues by
the Simulation of Assignment Procedures 110
C. Estimating PCE by Applying Meta Analysis Data to
Models of the National Economy and the Navy 115
D. Classification Research Based on Project A 120
Contents vii
5. Improving Classification Effectiveness 131
A. Horst s Test Selection Approaches 131
B. The Comparison of Horst s and Brogden s
Approaches to Test Selection for the Improvement of
Classification Efficiency 135
C. An Alternative Estimator of Classification Efficiency;
The Point Distance Index (PDI) 137
D. Test Selection Strategies 141
E. Factor Analytic Techniques 145
F. Restructuring Job Families to Improve PCE 148
G. Summary and Conclusions 154
Appendix 5A: Eliminating Tests from Composites and/
or Tests from Batteries while Minimizing
Loss of CE 158
Appendix 5B: A Factor Solution for Maximizing Hd 159
Appendix 5C: Algorithm for Sequential Test Selection 163
6. Model Sampling and Simulation as a Tool for Measuring
Utility 167
A. Introduction 167
B. Model Sampling Concepts 169
C. Early Use of Model Sampling in Psychological
Research 170
D. Generating Synthetic Scores for Model Sampling 172
E. Model Sampling Research Design Issues 177
F. The Universe: How to Define Populations in Terms
of Co variance Matrices 183
Appendix 6A: Research Design Issues in Model
Sampling Experimentation 184
Appendix 6B: Generating Synthetic Scores 188
Appendix 6C: Research Design Considerations: Some
Approaches Especially Relevant to Model
Sampling Experimentation 198
7. Concepts and Principles of Differential Assignment Theory 203
A. The Need for a Theoretical Approach to
Classification 203
B. The Definition of DAT: Major Assumptions and
Principles 204
viii Contents
C. A Comparison of Differential Assignment Theory
with Alternative Theories 212
D. Potential Contribution of Differential Assignment
Theory to Operational Selection and Assignment
Systems 215
E. Testing the Basic Assumptions of DAT 219
Glossary 223
References 231
Author Index 251
Subject Index 253
Tables and Figures
TABLES
1.1 Personnel Utilization Decision Processes 12
1.2 Relationship of Selected Procedures to Variance of
Benefit Measures 13
1.3 Demonstration of the Four Variable Model (12 Examples
with SR = 1.0) 35
1.4 Three Examples with SR = 0.7 40
3.1 Mean Standard Criterion Values Resulting from
Differential Placement into Two Assignments as a
Function of the Degree of Correlation Between the
Two Predictors and the Percentage Placed in Each
Assignment 62
3.2 Allocation Average as a Function of Percent of the
Applicant Pool Rejected and the Number of Jobs 64
3.3 Selection on g Model 68
3.4 A Comparison of Three Models 69
3.5 A Comparison of Three Examples Having Equal Hd
Values but Unequal MPP Values 77
3.6 Three Components of Hd 79
3.7 Differential Validity Indices for Alternative Sets of Test
Composites 86
x Tables and Figures
3.8 Figures of Merit Sometimes Used as Measures of
Classification Efficiency 90
4.1 Summary of Results from Nord and Schmitz (1991) 125
4.2 Comparison of Several Theories Relevant to Personnel
Classification 127
4.3 Selected Results from a Model Sampling Experiment
Measuring Potential Classification Efficiency 129
4.4 Selected Results from a Model Sampling Experiment
Measuring Potential Allocation Efficiency 129
7.1 Demonstration of a Heuristic Used to Measure CE
and VG 218
FIGURES
1.1 Taxonomy of Personnel Utilization Processes 9
1.2 An Alternative Depiction of Personnel Utilization (an
Emphasis on the Hierarchical Processes) 10
1.3 An Alternative Depiction of Personnel Utilization (an
Emphasis on the Non Hierarchical Processes) 11
1.4 An Alternative Depiction of Selection (an Emphasis on
Multidimensional Selection) 16
1.5 Relationship of Hierarchical Classification and Allocation 20
|
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| illustrated | Not Illustrated |
| indexdate | 2024-07-09T16:32:26Z |
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| isbn | 0275939588 |
| language | English |
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| physical | XXIX, 255 S. |
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| publisher | Praeger |
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| spelling | Zeidner, Joseph Verfasser aut The economic benefits of predicting job performance 2 Classification efficiency Joseph Zeidner and Cecil D. Johnson 1. publ. New York u.a. Praeger 1991 XXIX, 255 S. txt rdacontent n rdamedia nc rdacarrier Johnson, Cecil D. Verfasser aut (DE-604)BV005633149 2 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=003520432&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Zeidner, Joseph Johnson, Cecil D. The economic benefits of predicting job performance |
| title | The economic benefits of predicting job performance |
| title_auth | The economic benefits of predicting job performance |
| title_exact_search | The economic benefits of predicting job performance |
| title_full | The economic benefits of predicting job performance 2 Classification efficiency Joseph Zeidner and Cecil D. Johnson |
| title_fullStr | The economic benefits of predicting job performance 2 Classification efficiency Joseph Zeidner and Cecil D. Johnson |
| title_full_unstemmed | The economic benefits of predicting job performance 2 Classification efficiency Joseph Zeidner and Cecil D. Johnson |
| title_short | The economic benefits of predicting job performance |
| title_sort | the economic benefits of predicting job performance classification efficiency |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=003520432&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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