Data Analysis Carlos R. Charneco Kintu Nnambi Andrew Harvey.

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Presentation transcript:

Data Analysis Carlos R. Charneco Kintu Nnambi Andrew Harvey

Demographics 4 Civilian Labor Force –Labor Market Information –Census Data: 4 Participant File –Local or State Reports

Civilian Labor Force 4 TOTALMALEFEMALE 4 TOTALMALEFEMALE Total83,91941,29142,628100% White, Including Hispanic72,03234,87237, %84.5%87.2% Black, Including Hispanic8,8824,9093, %11.9%9.3% Native American, Incl. Hispanic % Asian & Pacific Islander, Incl. Hispanic % Remaining Races, Incl. Hispanic2,3061,1701,1362.7%2.8%2.7% Hispanic, All Races2,5041,4011,1033.0%3.4%2.6% Sum of Non-Whites & Hispanic11,8876,4195, %15.5%12.8%

EO Profile 4 Gender 4 Race 4 Persons with Disabilities 4 National Origin 4 Age

Enrollees or Applicants Applicant Characteristics PY 2007 ApplicantsPercent White Male3, White Female2, African American Male African American Female Hispanic Male971.2 Hispanic Female42.5 Native American Male26.3 Native American Female15.2 Asian or Pacific Islander Male18.2 Asian or Pacific Islander Female11.1 Males 40 and Over1, Females 40 and Over Total Minorities

Registered Applicants Program Year 2007 Occupation Applicants Available% of Total Applicant Professional1, % Managerial % Clerical % Sales % Domestics 520.6% Food Service 1, % General Services % Ag-Fish-Forest % Processing % Machine Trades % Bench Work % Structural Work % Construction % Motor FRT- Trans % Miscellaneous % Non Titled % Total Registered Applicants 7,921

GROUP Referral Rate PY 2007 White Male71.8 White Female64.4* African American Male 75.2 African American Female 86.0 Hispanic Male 73.2 Hispanic Female 69.0 Native American Male 53.8* Native American Female 80.0* Asian/Pacific Islander Male 83.3* Asian/Pacific Islander Female 54.5* Male Workers 40 and over 72.8 Female Workers 40 and over 65.2

The local office referred a total of 5,380 individual applicants during the program year ending The total number of referrals which include multiple referrals for individuals was 14,947. During the program year ending 2007 the greatest individual referral rate for this office was received by African American Female applicants (86.0) followed by African American Male applicants (75.2) and Hispanic Male applicants (73.2). Hispanic Female applicants reported a 69.0% referral rate, while White Female applicants received a low number of individual referral rate (64.4).

STATISTICAL REVIEW 4 Registrations –Applicant Characteristics –Applicant Skills –Services/Job Referrals –Entered Employment –Wages –WIA Services

80% Rule 4 80% Rule 4 Measures the difference between the success of the most favored group and each other group. 4 Expresses differences as a percent (%).

Example of 80% Rule 4 GROUP Referral Rate PY White Male Benchmark Group (71.8 X.80) = White Female 56.5* - Disproportionately low 4 African Amer. Male 60.2 – Within.80% 4 African Amer. Female 55.0* - Disproportionately low 4 Hispanic Male Within.80% 4 Hispanic Female 57.0* - Disproportionately low

PLACEMENT RATE 4 Out of 100 White applicants, 40 are hired. –.4 OR 40% 4 Out of 50 Black applicants, 15 are hired. –.3 OR 30% 4 Out of 25 Hispanic applicants, 5 are hired. –.2 OR 20%

APPLYING 80% RULE 4 Black acceptance rate/White acceptance rate =.3/.4 =.75 or 75% 4 Hispanic acceptance rate/White acceptance rate =.2/.4 =.5 or 50%

ADVANTAGES 4 The 80% Rule has one great advantage over tests of statistical significance such as standard deviation- it is much simpler. Unlike tests of statistical significance, there is only one formula and it is always used the same way.

There are some disadvantages. 4 First it is imprecise. The 80% Rule always allows for a 20% variance between the most favored rate and the rate of others to which this rate is compared, regardless of the number of individuals in the total pool. 4 In other words, the 80% Rule is insensitive to numbers. When there are few individuals in the total pool, a difference of 20% between groups may not be statistically significant.

UNEMPLOYMENT INSURANCE 4 NUMBER OF CLAIMS ALLOWED 4 TOTAL NUMBER OF CLAIMS FILED –RATE OF CLAIMSALLOWED 200 CLAIMANTS ALLOWED 1000 TOTAL NUMBER THAT APPLIED. EQUAL.20 ALLOW RATE

RATES 4 TOTAL NUMBER OF REFERRALS OVER TOTAL NUMBER OF APPLICANTS REFERRRALS APPLICANTS –= REFERAL RATE OF.10 OR 10%

Standard Deviation 4 Standard Deviation: 4 The standard deviation is a measurement of how spread out your data is. 4 Measures the difference between what is observed and what is expected. 4 Expresses’ differences in units (deviations) from what is expected. 4 Sensitive to numbers.

Example Standard Deviation

JOB ORDERS 4 Average Wages 4 Skills 4 Education

Reports 4 State Reports DART - Data Analysis Reporting Tool 4 In House Reports 4 WIA REPORTS

SAMPLING 4 Job Orders –Discrimination Remarks –Referral Patterns 4 Registrations –Correct Characteristics –Listed Skills

SUMMARY ANALYSIS 4 Applicant Groups With Disproportionate –Low Job Referral Rates –Low Entered Employment Rates –Low Wages –Unemployment Success Rate –WIA Services Success Rate

Contact 4 4 Kintu Nnambi 4