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PY 2006 customer satisfaction survey weights
Summary ETA gave states updated weights for calculating Program Year 2006 customer satisfaction scores under the Workforce Investment Act. The attachment supplies the formula weights and the letter warns that new survey plans might follow for 2007. It rescinded TEGL 10-05; ETA now labels the advisory Canceled.
Document
Federal guidance
Agency
U.S. Department of Labor, Employment and Training Administration (ETA)
Document number
TEGL No. 1-07
Date issued
July 3, 2007
Status
Withdrawn
ETA lists this program-year advisory Canceled as of 2026-10-24; its letter expressly rescinds TEGL 10-05 and prints Expiration Date: Continuing.
Status last verified October 24, 2026
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About this page: The full text below is the official document from U.S. Department of Labor, Employment and Training Administration (ETA). Ezel adds the plain-English summary and tracks the document's status. The official source linked on this page is authoritative for any reliance.
Accessible letter PDF: https://www.dol.gov/sites/dolgov/files/ETA/advisories/TEGL/2007/TEGL01-07acc.pdf
CLASSIFICATION
EMPLOYMENT AND TRAINING ADMINISTRATION ACSI
ADVISORY SYSTEM CORRESPONDENCE SYMBOL
U.S. DEPARTMENT OF LABOR OWI/DAS
Washington, D.C. 20210 DATE
July 3, 2007
TRAINING AND EMPLOYMENT GUIDANCE LETTER NO. 1-07
TO: ALL STATE WORKFORCE AGENCIES
ALL STATE WORKFORCE LIAISONS
FROM: EMILY STOVER DeROCCO /s/
Assistant Secretary
SUBJECT: Updated Table of Weights for Use in Calculating State-Level
American Customer Satisfaction Index (ACSI) Scores for the
Participant and Employer Customer Satisfaction Surveys
1. Purpose. To provide states with the Program Year (PY) 2006 ACSI Table of
Weights and to alert states to the possibility of new customer survey plans for
PY 2007.
2. References. Workforce Investment Act of 1998 (WIA), Section 136; WIA Final
Rule 20 CFR Part 666; Training and Employment Guidance Letter (TEGL)
No. 17-05 (“Common Measures Policy for the Employment and Training
Administration’s (ETA) Performance Accountability System and Related
Performance Issues,” February 17, 2006)
3. Background. The Department uses the ACSI to meet the customer
satisfaction measurement needs of WIA. The ACSI survey approach captures
common customer satisfaction information that can be aggregated and
compared at different levels. Please refer to the WIA Information
Management System data collection package (OMB No. 1205-0420) for
information on creating and administering the ACSI at the state level.
Specifically, “Guidance on Capturing Customer Satisfaction Results” is found
on the ETA Web site at
http://www.doleta.gov/performance/guidance/WIA/Guidance-Collecting-
Customer-Satisfaction-Data-Expires-02282009.doc
The ACSI is a weighted score computed from the customer responses to a
small set of required questions with the weighted factors based on the relative
distribution of ACSI respondent data for non-regulatory federal
RESCISSIONS EXPIRATION DATE
CONTINUING
TEGL No. 10-05
agencies, previously collected and analyzed by the University of Michigan
and the Claes Fornell International Group (CFI). The ACSI trademark is
proprietary property of the University of Michigan and CFI. New weighting
factors are published annually by the Department.
4. Future Plans. For PY 2007, ETA is in the process of considering other survey
tools for WIA customer satisfaction measures and will advise states of a
decision in the near future.
5. ACSI Table of Weights. Updated weights were calculated for use in PY 2006
by a statistical algorithm in order to minimize random survey variation or
measurement errors that exist in all survey data. The weights listed in the
attachment are to be used by a state in computing performance on the ACSI
for employers and participants and for the Annual Report for PY 2006.
6. Calculating DOL ACSI Scores by Using the Weights. The weights for the 50
states plus the District of Columbia are shown on the following table. The
ACSI scores of different states for DOL service are calculated by the weighted
sum of the three ACSI question means (measured on 1-10 scales) transformed
to 0-100 scale values.
For example, if the mean values of the three ACSI questions for a state are:
Overall satisfaction 8.3
Confirmation/disconfirmation of expectations 7.9
Comparison to ideal 7.0
These mean values from raw data must first be transformed to the values on
the 0-100 scale. This is done by subtracting 1 from the mean values, dividing
the result by 9, which is the value range of the 1 to 10 raw data scale, and
multiplying by 100.
0 to 100 Overall Satisfaction = ((8.3 - 1)/9) x 100=81.1
0 to 100 Confirmation/disconfirmation of expectations = ((7.9-1)/9) x 100=76.7
0 to 100 Comparison to ideal = ((7.0-1)/9) x 100=66.7
The ACSI score for this state as the weighted sum of these values would be:
(.3535 x 81.1) + (.3126 x 76.7) + (.3339 x 66.7) = 74.9 (rounds to 75)
7. Action Required. States shall distribute this guidance to all officials within
the state who need such information to implement WIA customer satisfaction
measures.
8. Inquiries. Questions concerning this issuance may be directed to the
appropriate Regional Office.
9. Attachment. ACSI Formula Weights for PY 2006
Attachment 1 PDF: https://www.dol.gov/sites/dolgov/files/ETA/advisories/TEGL/2007/TEGL01-07a1.pdf
Attachment- ACSI Formula Weights for PY 2006
Satisfaction Confirm Ideal
(SATIS) (CONFIRM) (IDEAL)
Aggregate 0.374999 0.368321 0.364264
State
Alabama 0.364864368 0.34643244 0.2887032
Alaska 0.425920768 0.33648707 0.2375922
Arizona 0.364177518 0.34443157 0.2913909
Arkansas 0.37150193 0.33678779 0.2917103
California 0.341239052 0.34800573 0.3107552
Colorado 0.341284711 0.35008581 0.3086295
Connecticut 0.366805561 0.35004106 0.2831534
Delaware 0.578057113 0.21444808 0.2074948
DC 0.300938464 0.43234843 0.2667131
Florida 0.346515271 0.34363039 0.3098543
Georgia 0.34023481 0.38966448 0.2701007
Hawaii 0.353816935 0.38236479 0.2638183
Idaho 0.351922342 0.33221392 0.3158637
Illinois 0.353874065 0.33957869 0.3065472
Indiana 0.377745842 0.31967901 0.3025751
Iowa 0.34391741 0.3488492 0.3072334
Kansas 0.374503436 0.36090435 0.2645922
Kentucky 0.362264445 0.33007764 0.3076579
Louisiana 0.356892444 0.34502976 0.2980778
Maine 0.374515959 0.35390503 0.271579
Maryland 0.341464718 0.3477691 0.3107662
Massachusetts 0.346323945 0.37404544 0.2796306
Michigan 0.353498066 0.31264092 0.333861
Minnesota 0.398722197 0.31891762 0.2823602
Mississippi 0.337436729 0.41303192 0.2495314
Missouri 0.35753345 0.33443043 0.3080361
Montana 0.35828568 0.31942174 0.3222926
Nebraska 0.328538243 0.33608298 0.3353788
Nevada 0.399645158 0.31489733 0.2854575
New Hampshire 0.412161374 0.2999308 0.2879078
New Jersey 0.366616476 0.33422992 0.2991536
New Mexico 0.324338542 0.34063776 0.3350237
New York 0.355478311 0.36066391 0.2838578
North Carolina 0.353504148 0.35236368 0.2941322
North Dakota 0.330992496 0.3785269 0.2904806
Ohio 0.349747829 0.34615884 0.3040933
Oklahoma 0.344455616 0.35174887 0.3037955
Oregon 0.385056758 0.3435059 0.2714373
Pennsylvania 0.353584724 0.33535497 0.3110603
Rhode Island 0.430805896 0.30088053 0.2683136
South Carolina 0.376327605 0.32129475 0.3023776
South Dakota 0.370651594 0.30740625 0.3219422
Tennessee 0.375459181 0.33890761 0.2856332
Texas 0.35748245 0.34771252 0.294805
Utah 0.358459823 0.33227695 0.3092632
Vermont 0.33106667 0.32307166 0.3458617
Virginia 0.33743598 0.33610819 0.3264558
Washington 0.339103084 0.34491121 0.3159857
West Virginia 0.359463152 0.3189533 0.3215835
Wisconsin 0.353703932 0.32458964 0.3217064
Wyoming 0.382370742 0.30563076 0.3119985
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