Indicator 14 Frequently Asked Questions Frequently Asked Questions Revised May 2010 (Revisions indicated in red font)

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Presentation transcript:

Indicator 14 Frequently Asked Questions Frequently Asked Questions Revised May 2010 (Revisions indicated in red font)

2 Outcomes  Understand new Indicator 14 measurement clarifications  Review “Frequently Asked Questions” document reviewed by OSEP  Share revised Indicator 14 Interview Protocol and other resources

To ensure that all children with disabilities have available to them a free appropriate public education that emphasizes special education and related services designed to meet their unique needs and prepare them for further education, employment, and independent living. IDEA Regulations §300.1(a) IDEA Purpose

National Technical Assistance & Dissemination Center funded by the U.S. Department of Education Office of Special Education Programs NPSO Center Mission Help State Education Agencies develop practical, yet rigorous data collection systems to describe the further education and competitive employment experiences of youth with disabilities as they transition from high school to adult life.

"Old" Indicator 14 Percent of youth who had IEPs, are no longer in secondary school and who have been competitively employed, enrolled in some type of postsecondary school, or both within one year of leaving high school.

Revised Indicator 14 Percent of youth who are no longer in secondary school, had IEPs in effect at the time they left school, and were: A. Enrolled in higher education within one year of leaving high school. B. Enrolled in higher education or competitively employed within one year of leaving high school. C. Enrolled in higher education or in some other postsecondary education or training; or competitively employed or in some other employment within one year of leaving high school.

Highlight of Changes Feb significant changes; May 2010 clarifications Clarified definitions of “higher education” and “other post- secondary education or training” Still a “New Indicator” No reporting required FFY 2008 APR due February 1, 2010 (for students who left school in school year) New baseline reported in FFY 2009 SPP, due February 1, 2011 New baseline will represent students who left school during the school year Report 3 percentages (A, B, C) Also report numbers for each of the following: higher education, competitive employment, some other postsecondary education or training and some other employment Report each student in only 1 of the 4 categories of the indicator-with higher education as the “highest This presentation summarizes NPSO document entitled: Frequently Asked Questions, Part B Indicator, Post-School Outcomes, Revised May 2010

FFY Leave High School Collect one year out data Report in SPP/APR Not requiredNot required in Feb One year after students leave school Feb Use SPP template Report new baseline, target for each of the 3 percentages, and improvement activities One year after students leave school Feb Use APR template Report to public 8 SPP/APR Reporting Timelines

What are the Indicator measure denominators? For the three measures (A, B, and C), the denominator equals the number of respondent leavers. 9

10 What are the Indicator measure numerators? A-25: First calculate the following: 1 = # of respondent leavers enrolled in “higher education” 2 = # of respondent leavers in “competitive employment” 3 = # of respondent leavers enrolled in “some other postsecondary education or training” 4 = # of respondent leavers in “some other employment” IMPORTANT: Count each leaver in only ONE category and only in the HIGHEST category.

Calculations To calculate the indicator percentages, use the following: A = 1 divided by total respondents B = divided by total respondents C = divided by total respondents 11

12 1= # Higher Ed 2= #Competitive Employed 3 = #Postsecondary Education or Training 4 = # Other Employed # Other/Not Engaged (States are not required to report this #) A=1/ total respondents B=1+2/ total Respondents C= / total Respondents Total Respondents Here is another way to visualize it Note: Remember that each leaver is only counted once and counted only in the “highest" category.

Q-2: What should states do regarding sampling?  Every district must be part of the sample during the 6 years of the SPP.  States may need to adjust their sampling plan to ensure all districts are included.  Submit revisions to OSEP for approval. 13

Q-3: If a state conducts a census, must they describe how representative their respondents are? Whether the state uses a sample or census, describe how respondents are similar, or dissimilar, to the target population. 14 Yes

Q-4: What is the definition of “enrolled in higher education”? Youth have been enrolled on a full or part time basis in a community college (2-year program) or college/university (4- or more year program) for at least one complete term, at anytime in the year since leaving high school. 15 What changed? Deleted reference to Higher Education Act definition. Deleted reference to “degree” program reference to training program lasting one year to prepare for gainful employment.

2007 Median Earnings: 20-25yr olds Wagner and Cameto, 2005 The More You Learn…the More You Earn

Q-4: What is the definition of “enrolled in post-secondary education or training”? Youth who have been enrolled on a full or part time basis for at least 1 complete term at any time in the year since leaving high school in an education or training program (e.g., Job Corps, adult education, workforce development program, vocational technical school which is less than a 2-year program). 17 What changed? In the “e.g.,” the following was added: “vocational technical school which is less than a 2-year program.”

Q-5: How do we count a former student who is or has been enrolled in a 2- or 4- year community college, college or university in any of the following: Remedial classes Non-credit classes Classes such as public speaking, art, basis skills? All of these would be counted as higher education because they are at a 2- or 4-year college. 18

Q-6: In “other postsecondary education or training,” is the list: (e.g., Job Corps, adult education, workforce development, vocational technical school which is less than a 2-year program” an exhaustive list? No, it is not exhaustive. States may include other programs such as rehabilitative services and other programs. 19

What is the definition of “competitive employment” for the purposes of this collection? “Competitive employment” means:  Work for pay  At or above the minimum wage  In a setting with others who are nondisabled  For a period of 20 hours a week  For at least 90 days at any time in the year since leaving high school.  This include military employment. 20

What is the definition of “some other employment” for the purposes of this collection? “Some other employment” means:  Work for pay or self-employed.  For at least 90 days at any time in the year since leaving high school.  Includes working in a family business (e.g., farm, store, fishing, ranching, catering services, etc.). 21

Q-11: In the definitions for both "competitive employment' and "some other employment", what does "at least 90 days at any time since leaving high school" mean? “90 days” means: Either 90 cumulative days or 3 months of continuous work at an average of 20 hours per week at any time in the year since leaving high school.  The days need not be consecutive  May include more than one job 22

Q-12: What does "20 hours a week" mean? “20 hours a week” includes: At least 20 hours a week for 90 cumulative days 20 hours or more a week for 90 cumulative days An average of 20 hours a week for 90 cumulative days 23

Q-10: How should ‘stay at home parents’ be counted? Stay at home parents would be counted as “not engaged” for the SPP/APR. However, a State may choose to collect these data and report such a category if stakeholders deem this useful to system or program improvement. 24

Q-15: Can a state choose to NOT include "military" as competitive employment? Military is defined as competitive employment. 25 NO

Q-16: Under "some other employment" are number of hours per week and earnings considered? No, hours and wages are not considered. However, the “other employment” needs to be “for a period of at least 90 days at any time in the year since leaving high school.” 26

Q-17: Does "some other employment" include sheltered and supported employment? 27 Yes

Q-18: How do you count “supported employment?” If it meets the criteria for “competitive employment” (e.g., 90 days, averaging 20 hours/week, and is at or above minimum wage), then it counts as “competitive employment.” If the criteria for competitive employment is not met, then it counts as “some other employment.” 28

Q-19: How do you count “self- employment?” If “self-employment” meets the criteria for “competitive employment” (e.g., 90 days, averaging 20 hours/week, and is at or above minimum wage), then it counts as “competitive employment.” If “self-employment” does not meet this criteria, then it counts as “some other employment.” 29

Q-20: If a youth meets all the criteria of competitive employment except they are working 16 hours per week, is that "other employment?" Yes, this is “some other employment,” because the youth does not meet the 20 hour/week definition of “competitive employment.” 30

Q-22: Must states set a baseline and target for each of the measures of the Indicator (e.g., A, B and C)? 31 Yes

Q-23: Are states to collect data to reflect engagement "within one year" or when "at least one year has passed?" Data collection starts when students have been out of school at least one year and describes whether they have been enrolled in higher education, competitively employed, etc.) within one year of leaving high school. See example scenarios… (FAQ) 32

Services, Tools, Products Interview Protocol Data Displays Data Use Toolkit And more Deanne Unruh Charlotte Alverson Jim Leinen

34

NPSO Resources Tools & Products

Facilitator’s Guide

Examining Local PSO

39 Parent Informational Flyers

Student Flyers 40

What’s New in the Center Working with States to incorporate Indicator 14 data into their State Longitudinal Data Systems 41