DISCLAIM! ' i The views, opinions, and findings in this report, are those of the authors and... more DISCLAIM! ' i The views, opinions, and findings in this report, are those of the authors and should not be construed as an official Depart-ment of t Y e Army position, policy, or decision, unless so desicrated by other authorized documents. n SUMMARY Background; Military enlistment standards have been established as a means of evaluating the suitability of prospective military personnel. All Volunteer Force (AVF) standards are adjusted according to need to enlist i individuals who will fill a variety of military occupations, and to exclude those with a likelihood of failure in completing training or first-term service. First-term attrition results in no n-recoverable training expenditures,
NPS54-86 6a. NAME OF PERFORMING ORGANIZATION Naval Postgraduate School 6b. OFFICE SYMBOL (If appl... more NPS54-86 6a. NAME OF PERFORMING ORGANIZATION Naval Postgraduate School 6b. OFFICE SYMBOL (If applicable) 6c. ADDRESS {City, State, and ZIP Code) Monterey, CA 93943 lb. RESTRICTIVE MARKINGS Form Approved I 0MBNo 07040188 i Bap Dare Jun 30, 1986 sj 3. DISTRIBUTION/AVAILABILITY OF REPORT Unlimited 5. MONITORING ORGANIZATION REPORT NUM8ER(S) USAREC SR 86-8 7a. NAME OF MONITORING ORGANIZATION
: The Automated Continuous Evaluation System (ACES) was developed by the Defense Personnel and Se... more : The Automated Continuous Evaluation System (ACES) was developed by the Defense Personnel and Security Research Center (PERSEREC) through iterations of research and application of research findings to improve versions of ACES. ACES is an automated computer system that collects data from over 40 government and commercial databases. It uses an applicant s personally identifiable information (PII) or the Standard Form 86 (SF- 86) to check these data sources, verify what has been submitted, and collect more information. It applies business rules to the data, produces a report that flags issues of potential security concern, and electronically transmits the report to the approved recipient typically an adjudication facility. Since 2008, the Joint Reform Effort (JRE) of the federal government has identified ACES as a capability for inclusion in the revised federal security clearance process, and various pilot projects have been performed demonstrating ACES capabilities for different fede...
The public reporting burden for this collection of information is estimated to average 1 hour per... more The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188),
The public reporting burden for this collection of information is estimated to average 1 hour per... more The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.
The improvement of procedures for screening personnel into sensitive military occupations is one ... more The improvement of procedures for screening personnel into sensitive military occupations is one of PERSEREC's key research undertakings. The need to ensure that only the most reliable personnel are chosen for high security military occupations will become even more critical as the military reduces its size and budget. Consequently, the process by which individuals are screened must be made more effective and more efficient. PERSEREC has been involved in screening research since 1987. To date, we have published technical reports on screening of enlisted personnel (
B-2. Chi-square Tests for Independence Between AFQT Category and Responses to Question 13 for Vol... more B-2. Chi-square Tests for Independence Between AFQT Category and Responses to Question 13 for Voluntary DEP Losses 100 B-3. Chi-square Tests for Independence Between Level of Education and Responses to Question 13 for Voluntary DEP Losses 101 xiv LIST OF TABLES (continued) Table Paae. B-4. Chi-square Tests for Independence Between Racial/ Ethnic Group and Responses to Question 13 for Voluntary DEP Losses 102 B-5. Chi-square Tests for Independence Between Census District and Responses to Question 13 for Voluntary DEP Losses 103 B-6. Chi-square Tests for Independence Between Age and Responses to Question 13 for Voluntary DEP Losses 104 B-7. Chi-square Tests for Independence Between Length of Time in the DEP and Responses to Question 13 for Voluntary DEP Losses 105 B-8. Chi-square Tests for Independence Between Gender and Responses to Question 13 for DEP Accession/ Voluntary Active Duty Losses 106 B-9. Chi-square Tests for Independence Between AFQT Category and Responses to Question 13 for DEP Accession/Voluntary Active Duty Losses 107 B-10. Chi-square Tests for Independence Between Level of Education and Responses to Question 13 for DEP Accession/Voluntary Active Duty Losses 108 B-ll. Chi-square Tests for Independence Between Racial/ Ethnic Group and Responses to Question 13 for DEP Accession/Voluntary Active Duty Losses 109 xv LIST OF TABLES (continued) Table. £as& B-12. Chi-square Tests for Independence Between Census District and Responses to Question 13 for DEP Accession/Voluntary Active Duty Losses 110 B-13. Chi-square Tests for Independence Between Age and Responses to Question 13 for DEP Accession/ Voluntary Active Duty Losses Ill B-14. Chi-square Tests for Independence Between Length of Time in the DEP and Responses to Question 13 for DEP Accession/Voluntary Active Duty Losses .... 112 xvi '•Permitted length of stay in the DEP is adjusted according to need, as well as AFQT category.
Foberts-Gray of BDM Corporation was responsible for the initial planning of the research and the ... more Foberts-Gray of BDM Corporation was responsible for the initial planning of the research and the development of the mailout materials. The telephone interviews were conducted by Mr. William Krauthammer and Mr. Stephen Shapiro of the Naval Postgraduate School. Mrs. Mary Ellen Lathrop of the Naval Postgraduate School created and maintained the automated interview response records. Mr. William King of BDM Corporation was responsible for computer
7a NAME OF MONITORING ORGANIZATION 6c ADDRESS (City. Stale, and ZIP Code) 99 Pacific Street, Buil... more 7a NAME OF MONITORING ORGANIZATION 6c ADDRESS (City. Stale, and ZIP Code) 99 Pacific Street, Building 455-E Monterey, California 93940-2481 7b ADDRESS (City. Stile and ZIP Code) 8a NAME OF FUNDING/SPONSORING ORGANIZATION 8b OFFICE SYMBOL (if applicable) 9 PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER 8c ADDRESS (City. State, and ZIP Code) 10 SOURCE OF FUNDING NUMBERS
Four methods of cluster analysis were examined for their accuracy in clustering simulated job ana... more Four methods of cluster analysis were examined for their accuracy in clustering simulated job analytic data. The methods included hierarchical mode analysis, Ward's method, k-means method from a random start, and k-means based on the results of Ward's method. Thirty data sets, which differed according to number of jobs, number of population clusters, number of job dimensions, degree of cluster separation, and size of population clusters, were generated using a monte carlo technique. The results from each of the four methods were then compared to actual classifications. The performance of hierarchical mode analysis was significantly poorer than that of the other three methods. Correlations were computed to determine the effects of the five data set variables on the accuracy of each method. From an applied perspective, these relationships indicate which method is most appropriate for a given data set. These results are discussed in the context of certain limitations of this in...
DISCLAIM! ' i The views, opinions, and findings in this report, are those of the authors and... more DISCLAIM! ' i The views, opinions, and findings in this report, are those of the authors and should not be construed as an official Depart-ment of t Y e Army position, policy, or decision, unless so desicrated by other authorized documents. n SUMMARY Background; Military enlistment standards have been established as a means of evaluating the suitability of prospective military personnel. All Volunteer Force (AVF) standards are adjusted according to need to enlist i individuals who will fill a variety of military occupations, and to exclude those with a likelihood of failure in completing training or first-term service. First-term attrition results in no n-recoverable training expenditures,
NPS54-86 6a. NAME OF PERFORMING ORGANIZATION Naval Postgraduate School 6b. OFFICE SYMBOL (If appl... more NPS54-86 6a. NAME OF PERFORMING ORGANIZATION Naval Postgraduate School 6b. OFFICE SYMBOL (If applicable) 6c. ADDRESS {City, State, and ZIP Code) Monterey, CA 93943 lb. RESTRICTIVE MARKINGS Form Approved I 0MBNo 07040188 i Bap Dare Jun 30, 1986 sj 3. DISTRIBUTION/AVAILABILITY OF REPORT Unlimited 5. MONITORING ORGANIZATION REPORT NUM8ER(S) USAREC SR 86-8 7a. NAME OF MONITORING ORGANIZATION
: The Automated Continuous Evaluation System (ACES) was developed by the Defense Personnel and Se... more : The Automated Continuous Evaluation System (ACES) was developed by the Defense Personnel and Security Research Center (PERSEREC) through iterations of research and application of research findings to improve versions of ACES. ACES is an automated computer system that collects data from over 40 government and commercial databases. It uses an applicant s personally identifiable information (PII) or the Standard Form 86 (SF- 86) to check these data sources, verify what has been submitted, and collect more information. It applies business rules to the data, produces a report that flags issues of potential security concern, and electronically transmits the report to the approved recipient typically an adjudication facility. Since 2008, the Joint Reform Effort (JRE) of the federal government has identified ACES as a capability for inclusion in the revised federal security clearance process, and various pilot projects have been performed demonstrating ACES capabilities for different fede...
The public reporting burden for this collection of information is estimated to average 1 hour per... more The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188),
The public reporting burden for this collection of information is estimated to average 1 hour per... more The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.
The improvement of procedures for screening personnel into sensitive military occupations is one ... more The improvement of procedures for screening personnel into sensitive military occupations is one of PERSEREC's key research undertakings. The need to ensure that only the most reliable personnel are chosen for high security military occupations will become even more critical as the military reduces its size and budget. Consequently, the process by which individuals are screened must be made more effective and more efficient. PERSEREC has been involved in screening research since 1987. To date, we have published technical reports on screening of enlisted personnel (
B-2. Chi-square Tests for Independence Between AFQT Category and Responses to Question 13 for Vol... more B-2. Chi-square Tests for Independence Between AFQT Category and Responses to Question 13 for Voluntary DEP Losses 100 B-3. Chi-square Tests for Independence Between Level of Education and Responses to Question 13 for Voluntary DEP Losses 101 xiv LIST OF TABLES (continued) Table Paae. B-4. Chi-square Tests for Independence Between Racial/ Ethnic Group and Responses to Question 13 for Voluntary DEP Losses 102 B-5. Chi-square Tests for Independence Between Census District and Responses to Question 13 for Voluntary DEP Losses 103 B-6. Chi-square Tests for Independence Between Age and Responses to Question 13 for Voluntary DEP Losses 104 B-7. Chi-square Tests for Independence Between Length of Time in the DEP and Responses to Question 13 for Voluntary DEP Losses 105 B-8. Chi-square Tests for Independence Between Gender and Responses to Question 13 for DEP Accession/ Voluntary Active Duty Losses 106 B-9. Chi-square Tests for Independence Between AFQT Category and Responses to Question 13 for DEP Accession/Voluntary Active Duty Losses 107 B-10. Chi-square Tests for Independence Between Level of Education and Responses to Question 13 for DEP Accession/Voluntary Active Duty Losses 108 B-ll. Chi-square Tests for Independence Between Racial/ Ethnic Group and Responses to Question 13 for DEP Accession/Voluntary Active Duty Losses 109 xv LIST OF TABLES (continued) Table. £as& B-12. Chi-square Tests for Independence Between Census District and Responses to Question 13 for DEP Accession/Voluntary Active Duty Losses 110 B-13. Chi-square Tests for Independence Between Age and Responses to Question 13 for DEP Accession/ Voluntary Active Duty Losses Ill B-14. Chi-square Tests for Independence Between Length of Time in the DEP and Responses to Question 13 for DEP Accession/Voluntary Active Duty Losses .... 112 xvi '•Permitted length of stay in the DEP is adjusted according to need, as well as AFQT category.
Foberts-Gray of BDM Corporation was responsible for the initial planning of the research and the ... more Foberts-Gray of BDM Corporation was responsible for the initial planning of the research and the development of the mailout materials. The telephone interviews were conducted by Mr. William Krauthammer and Mr. Stephen Shapiro of the Naval Postgraduate School. Mrs. Mary Ellen Lathrop of the Naval Postgraduate School created and maintained the automated interview response records. Mr. William King of BDM Corporation was responsible for computer
7a NAME OF MONITORING ORGANIZATION 6c ADDRESS (City. Stale, and ZIP Code) 99 Pacific Street, Buil... more 7a NAME OF MONITORING ORGANIZATION 6c ADDRESS (City. Stale, and ZIP Code) 99 Pacific Street, Building 455-E Monterey, California 93940-2481 7b ADDRESS (City. Stile and ZIP Code) 8a NAME OF FUNDING/SPONSORING ORGANIZATION 8b OFFICE SYMBOL (if applicable) 9 PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER 8c ADDRESS (City. State, and ZIP Code) 10 SOURCE OF FUNDING NUMBERS
Four methods of cluster analysis were examined for their accuracy in clustering simulated job ana... more Four methods of cluster analysis were examined for their accuracy in clustering simulated job analytic data. The methods included hierarchical mode analysis, Ward's method, k-means method from a random start, and k-means based on the results of Ward's method. Thirty data sets, which differed according to number of jobs, number of population clusters, number of job dimensions, degree of cluster separation, and size of population clusters, were generated using a monte carlo technique. The results from each of the four methods were then compared to actual classifications. The performance of hierarchical mode analysis was significantly poorer than that of the other three methods. Correlations were computed to determine the effects of the five data set variables on the accuracy of each method. From an applied perspective, these relationships indicate which method is most appropriate for a given data set. These results are discussed in the context of certain limitations of this in...
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