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issue brief
                        Students at Greatest Risk for Poor
                        Post-School Employment Outcomes:
                        What Can Schools Do?
                        Decades of research have consistently shown that students with disabilities
                        as a group fare poorly after school exit, particularly in employment (Blackorby
                        & Wagner, 1996; Hassazi, Gordon, & Roe, 1985; Mithaug, Horiuchi, and
                        Fanning, 1985). While the transition planning mandates of the Individuals with
                        Disabilities Education Act of 1990 (IDEA) and the Individuals with Disabilities
                        Education Improvement Act of 2004 (IDEIA) have improved the postschool
                        prospects for many students with disabilities, far too many transition from
                        school not to employment or other productive activities, but to waiting lists for
               author
                        adult services, inactivity, and for some, illegal or self-destructive behaviors.
Michael West


                        what we know
                        A number of studies have identified              predict postschool employment considers the
                        factors that predict successful transition to    degree of integration of the disabled student
                        employment following secondary school            with non-disabled students in school-based
                        exit. For example, students who have higher      activities, such as lunch, clubs, field trips, or
                        levels of social skills and more independence    athletics (White & Weiner, 2004). It is unclear,
                        in self-care skills have been found to be more   however, if this finding reflects the value of
                        likely to obtain postschool employment (Baer     integrated settings or differences between
                        et al., Carter, Austin, & Trainor, 2011). One    students who are integrated and those who
                        explanation for this may be that the students’   are not, such as more independence, fewer
                        social and self-care skills make them more       problem behaviors and the like, characteristics
                        attractive to employers. A second factor to      that would also make them more employable.
Perhaps most importantly, enrollment in                       et al., 2011; Flexer, Daviso, Baer, McMahan
    vocational education, a work/study program,                   Queen, & Meindl, 2011; Shandra & Hogan,
    paid community-based job experience, or other                 2008). The evidence is strong that engaging
    employment-related programs in high school                    students in vocational preparation as a
    seems to improve postschool employment                        component of their educational program has
    prospects for students with disabilities (Carter              future value.



2

    advancing knowledge and practice
    The Center on Transition to is conducting a                   To conduct this study, we will first extract
    study in which data from the second round                     a dataset of all records for the highest risk
    of the National Longitudinal Transition                       students as identified by the Risk Modeling
    Study (NLTS-2) will be analyzed using data                    Study. Then, we will conduct a series of logistic
    mining technique to identify risk factors for                 regression analysis to identify predictors
    poor employment outcomes for students with                    of successful transition to employment for
    disabilities. In addition to identifying those                different high risk groups. In particular, we
    risk factors, the Risk Modeling Study will                    will focus on those factors that are alterable
    identify homogeneous subgroups of students                    at the school level. These would include items
    who are at greatest risk for poor employment                  such as:
    outcomes after school exit.                                   •	    the student’s educational program (e.g.,
                                                                        engagement in the general educational
    These will be students who are likely to                            curriculum, vocational education, etc.);
    fall into multiple risk categories (e.g.,                     •	    the student’s level of integration with
    race and ethnicity, gender, disability type,                        non-disabled students;
    family status, etc.). Yet even in the highest
                                                                  •	    employer mentors;
    risk students, some will be successful in
                                                                  •	    student support services provided;
    achieving employment post-school. Thus, we
    will conduct a follow-up study to the Risk                    •	    engagement in prevention, for dropout,
    Modeling Study using the NLTS-2 data that                           alcohol and drug use, and pregnancy;
    will focus exclusively on those students and                  •	    collaboration with adult services
    investigate factors that may mitigate their risk                    (including participation in planning); and
    for poor transition outcomes.                                 •	    the student’s role or level of participation
                                                                        in transition planning.




    what we hope to find
    From this study, we hope to accomplish two                    based interventions. Ultimately, we hope
    goals. First, we will identify the combination                to impact school policy and practice by
    of risk factors that put students with disabilities           generating new knowledge that will lead to
    at highest risk for poor postschool employment                more effective interventions and strategies for
    outcomes. Second, we will identify factors                    improving postschool employment prospects
    that are alterable at the school level, and are               for their highest risk students.
    therefore amenable to developing school-


    Students at Greatest Risk for Poor Post-School Employment Outcomes: What Can Schools Do? West                      Issue Brief #1106
… generate new
       knowledge that will
     lead to more effective
        interventions and
3
    strategies for improving
    postschool employment
           prospects…




               references
               Baer, R. M., Flexer, R. W., Beck, S., Amstutz, N., Hoffman, L.,        Individuals with Disabilities Education Act of 1990, PL105-17, 20
               Brothers, J., Stelzer, D., & Zechman, C. (2003). A collaborative       U.S.C. §§ 1400 et seq.
               followup study on transition service utilization and post-school
               outcomes. Career Development for Exceptional Individuals, 26(1),       Individuals with Disabilities Education Improvement Act of 2004,
               7-25.                                                                  PL108-446, 20 U.S.C. §§ 1400 et seq.

               Carter, E. W., Austin, D., & Trainor, A. A. (2011). Predictors         Mithaug, D.E., Horiuchi, C.N., & Fanning, P.N. (1985). A report
               of postschool employment outcomes for young adults with                on the Colorado statewide follow-up survey of special education
               severe disabilities. Journal of Disability Policy Studies,             students. Exceptional Children, 51, 397-404.
               1044207311414680, first published online on July 22, 2011.             Shandra, C. L., & Hogan, D. P. (2008). School-to-work program
               Blackorby, J., & Wagner, M. (1996). Longitudinal postschool            participation and the post-high school employment of young adults
               outcomes of youth with disabilities: Findings from the National        with disabilities. Journal of Vocational Rehabilitation, 29, 117-130.
               Longitudinal Transition Study. Exceptional Children, 62, 399-413.      White, J., & Weiner, J. S. (2004). Influences of least restrictive
               Flexer, R. W., Daviso III, A. W., Baer, R. M., McMahan-Queen,          environment and community based training on integrated
               R., & Meindl, R. S. (2011). An epidemiological model of transition     employment outcomes for transitioning students with severe
               and postschool outcomes. Career Development for Exceptional            disabilities. Journal of Vocational Rehabilitation, 21, 149-156.
               Individuals, 34(2), 83-94.
               Hasazi, S.B., Gordon, L.R., & Roe, C.A. (1885. Factors associated
               with the employment status of handicapped youth exiting school
               from 1979 to 1983. Exceptional Children, 51, 455-569.




                                                   author
                                                   Michael West, Ph.D. Virginia Commonwealth University




                                                        www.transitiontoemployment.org
                                                        Funded by Department of Education - PR/Award #H133A100007 CFDA #84.133A

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Statement of Interest File

  • 1. issue brief Students at Greatest Risk for Poor Post-School Employment Outcomes: What Can Schools Do? Decades of research have consistently shown that students with disabilities as a group fare poorly after school exit, particularly in employment (Blackorby & Wagner, 1996; Hassazi, Gordon, & Roe, 1985; Mithaug, Horiuchi, and Fanning, 1985). While the transition planning mandates of the Individuals with Disabilities Education Act of 1990 (IDEA) and the Individuals with Disabilities Education Improvement Act of 2004 (IDEIA) have improved the postschool prospects for many students with disabilities, far too many transition from school not to employment or other productive activities, but to waiting lists for author adult services, inactivity, and for some, illegal or self-destructive behaviors. Michael West what we know A number of studies have identified predict postschool employment considers the factors that predict successful transition to degree of integration of the disabled student employment following secondary school with non-disabled students in school-based exit. For example, students who have higher activities, such as lunch, clubs, field trips, or levels of social skills and more independence athletics (White & Weiner, 2004). It is unclear, in self-care skills have been found to be more however, if this finding reflects the value of likely to obtain postschool employment (Baer integrated settings or differences between et al., Carter, Austin, & Trainor, 2011). One students who are integrated and those who explanation for this may be that the students’ are not, such as more independence, fewer social and self-care skills make them more problem behaviors and the like, characteristics attractive to employers. A second factor to that would also make them more employable.
  • 2. Perhaps most importantly, enrollment in et al., 2011; Flexer, Daviso, Baer, McMahan vocational education, a work/study program, Queen, & Meindl, 2011; Shandra & Hogan, paid community-based job experience, or other 2008). The evidence is strong that engaging employment-related programs in high school students in vocational preparation as a seems to improve postschool employment component of their educational program has prospects for students with disabilities (Carter future value. 2 advancing knowledge and practice The Center on Transition to is conducting a To conduct this study, we will first extract study in which data from the second round a dataset of all records for the highest risk of the National Longitudinal Transition students as identified by the Risk Modeling Study (NLTS-2) will be analyzed using data Study. Then, we will conduct a series of logistic mining technique to identify risk factors for regression analysis to identify predictors poor employment outcomes for students with of successful transition to employment for disabilities. In addition to identifying those different high risk groups. In particular, we risk factors, the Risk Modeling Study will will focus on those factors that are alterable identify homogeneous subgroups of students at the school level. These would include items who are at greatest risk for poor employment such as: outcomes after school exit. • the student’s educational program (e.g., engagement in the general educational These will be students who are likely to curriculum, vocational education, etc.); fall into multiple risk categories (e.g., • the student’s level of integration with race and ethnicity, gender, disability type, non-disabled students; family status, etc.). Yet even in the highest • employer mentors; risk students, some will be successful in • student support services provided; achieving employment post-school. Thus, we will conduct a follow-up study to the Risk • engagement in prevention, for dropout, Modeling Study using the NLTS-2 data that alcohol and drug use, and pregnancy; will focus exclusively on those students and • collaboration with adult services investigate factors that may mitigate their risk (including participation in planning); and for poor transition outcomes. • the student’s role or level of participation in transition planning. what we hope to find From this study, we hope to accomplish two based interventions. Ultimately, we hope goals. First, we will identify the combination to impact school policy and practice by of risk factors that put students with disabilities generating new knowledge that will lead to at highest risk for poor postschool employment more effective interventions and strategies for outcomes. Second, we will identify factors improving postschool employment prospects that are alterable at the school level, and are for their highest risk students. therefore amenable to developing school- Students at Greatest Risk for Poor Post-School Employment Outcomes: What Can Schools Do? West Issue Brief #1106
  • 3. … generate new knowledge that will lead to more effective interventions and 3 strategies for improving postschool employment prospects… references Baer, R. M., Flexer, R. W., Beck, S., Amstutz, N., Hoffman, L., Individuals with Disabilities Education Act of 1990, PL105-17, 20 Brothers, J., Stelzer, D., & Zechman, C. (2003). A collaborative U.S.C. §§ 1400 et seq. followup study on transition service utilization and post-school outcomes. Career Development for Exceptional Individuals, 26(1), Individuals with Disabilities Education Improvement Act of 2004, 7-25. PL108-446, 20 U.S.C. §§ 1400 et seq. Carter, E. W., Austin, D., & Trainor, A. A. (2011). Predictors Mithaug, D.E., Horiuchi, C.N., & Fanning, P.N. (1985). A report of postschool employment outcomes for young adults with on the Colorado statewide follow-up survey of special education severe disabilities. Journal of Disability Policy Studies, students. Exceptional Children, 51, 397-404. 1044207311414680, first published online on July 22, 2011. Shandra, C. L., & Hogan, D. P. (2008). School-to-work program Blackorby, J., & Wagner, M. (1996). Longitudinal postschool participation and the post-high school employment of young adults outcomes of youth with disabilities: Findings from the National with disabilities. Journal of Vocational Rehabilitation, 29, 117-130. Longitudinal Transition Study. Exceptional Children, 62, 399-413. White, J., & Weiner, J. S. (2004). Influences of least restrictive Flexer, R. W., Daviso III, A. W., Baer, R. M., McMahan-Queen, environment and community based training on integrated R., & Meindl, R. S. (2011). An epidemiological model of transition employment outcomes for transitioning students with severe and postschool outcomes. Career Development for Exceptional disabilities. Journal of Vocational Rehabilitation, 21, 149-156. Individuals, 34(2), 83-94. Hasazi, S.B., Gordon, L.R., & Roe, C.A. (1885. Factors associated with the employment status of handicapped youth exiting school from 1979 to 1983. Exceptional Children, 51, 455-569. author Michael West, Ph.D. Virginia Commonwealth University www.transitiontoemployment.org Funded by Department of Education - PR/Award #H133A100007 CFDA #84.133A