Maintenance procedures. Follow-up probes were collected nine weeks after <str<strong>on</strong>g>the</str<strong>on</strong>g> student meet acquisiti<strong>on</strong> criteri<strong>on</strong>. Follow-up probes occurred in <str<strong>on</strong>g>the</str<strong>on</strong>g> community setting where <str<strong>on</strong>g>the</str<strong>on</strong>g> student was initially trained. Follow-up probes were collected to determine if <str<strong>on</strong>g>the</str<strong>on</strong>g> initial instructi<strong>on</strong>al affected <str<strong>on</strong>g>the</str<strong>on</strong>g> student’s performance over time. Reliability Interobserver reliability data <strong>and</strong> procedural reliability data were collected simultaneously by <str<strong>on</strong>g>the</str<strong>on</strong>g> primary investigator <strong>and</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g> classroom teacher. Interobserver <strong>and</strong> procedural reliability data were collected during 33% of baseline <strong>and</strong> each c<strong>on</strong>current phase. Observers independently <strong>and</strong> simultaneously recorded <str<strong>on</strong>g>the</str<strong>on</strong>g> number of steps <str<strong>on</strong>g>the</str<strong>on</strong>g> student performed independently or <str<strong>on</strong>g>the</str<strong>on</strong>g> required prompt <strong>and</strong> resp<strong>on</strong>se time. Interobserver agreement was calculated by dividing <str<strong>on</strong>g>the</str<strong>on</strong>g> number of agreements of student resp<strong>on</strong>ses by <str<strong>on</strong>g>the</str<strong>on</strong>g> number of agreements plus disagreements <strong>and</strong> multiplying by 100. Interobserver reliability ranged from 96 to 100%, with a mean of 99% agreement. The mean interobserver reliability agreement for each student across c<strong>on</strong>diti<strong>on</strong>s was Aar<strong>on</strong>, 97%; Bill, 100%; Cate, 100%, <strong>and</strong> Doug, 97%. Procedural integrity measures check <str<strong>on</strong>g>the</str<strong>on</strong>g> investigator’s performance by using <str<strong>on</strong>g>the</str<strong>on</strong>g> correct prompting hierarchy <strong>and</strong> resp<strong>on</strong>se time. The classroom teacher was trained using an itemized checklist that listed <str<strong>on</strong>g>the</str<strong>on</strong>g> task-analyzed steps of each task <strong>and</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g> level of prompt. The teacher was c<strong>on</strong>sidered successfully trained after completing 100% of <str<strong>on</strong>g>the</str<strong>on</strong>g> checklist for three c<strong>on</strong>secutive trials. The procedural agreement level was calculated by dividing <str<strong>on</strong>g>the</str<strong>on</strong>g> number of observed teacher behaviors by <str<strong>on</strong>g>the</str<strong>on</strong>g> number of planned teacher behaviors <strong>and</strong> multiplying by 100 (Billingsley, White, & Muns<strong>on</strong>, 1980). Procedural reliability ranged from 97-100%, with a mean of 99%. The mean procedural reliability agreement for each student across c<strong>on</strong>diti<strong>on</strong>s was: Aar<strong>on</strong>, 99%; Bill, 100%; Cate, 96% <strong>and</strong> Doug 100% Results Number of independent transiti<strong>on</strong>s made by students during baseline, h<strong>and</strong>held prompt- ing interventi<strong>on</strong>, <strong>and</strong> maintenance phases in <str<strong>on</strong>g>the</str<strong>on</strong>g> vocati<strong>on</strong>al setting is presented in Figure 1. During baseline, students dem<strong>on</strong>strated limited ability to independently transiti<strong>on</strong> between specific work tasks. Number of independent task transiti<strong>on</strong>s made by students during this phase was zero. When students used <str<strong>on</strong>g>the</str<strong>on</strong>g> h<strong>and</strong>held prompting system during interventi<strong>on</strong>, increases in <str<strong>on</strong>g>the</str<strong>on</strong>g> number of independent transiti<strong>on</strong>s were apparent. Number of independent transiti<strong>on</strong>s ranged from 40% to 100% with a mean of 86%. Aar<strong>on</strong> dem<strong>on</strong>strated no independent transiti<strong>on</strong>s during baseline <strong>and</strong> increased independent transiti<strong>on</strong>ing to a mean of 82% (range 40-100%) during interventi<strong>on</strong>. Bill dem<strong>on</strong>strated no independent transiti<strong>on</strong>s during baseline <strong>and</strong> increased independent transiti<strong>on</strong>ing to a mean of 84% (range 50-100%) during interventi<strong>on</strong>. Cate dem<strong>on</strong>strated no independent transiti<strong>on</strong>s during baseline <strong>and</strong> increased independent transiti<strong>on</strong>ing to a mean of 80% (range 50-100%) during interventi<strong>on</strong>. Doug dem<strong>on</strong>strated no independent transiti<strong>on</strong>s during baseline <strong>and</strong> increased independent transiti<strong>on</strong>ing to a mean of 94% (range 80-100%) during interventi<strong>on</strong>. Number of instructi<strong>on</strong>al sessi<strong>on</strong>s to reach criteria ranged from nine to five with a mean of six. Moreover, all students maintained transiti<strong>on</strong>ing nine weeks later with 100% independence. Discussi<strong>on</strong> 106 / Educati<strong>on</strong> <strong>and</strong> Training in Developmental Disabilities-March 2008 The purpose of this study was to determine <str<strong>on</strong>g>the</str<strong>on</strong>g> effectiveness of a commercially-produced h<strong>and</strong>held computer, as a prompting system to facilitate independent transiti<strong>on</strong>s from task to task in a community-based vocati<strong>on</strong>al instructi<strong>on</strong>al site for students with moderate <strong>and</strong> severe intellectual disabilities. Analysis of <str<strong>on</strong>g>the</str<strong>on</strong>g> data indicated a functi<strong>on</strong>al relati<strong>on</strong>ship in task transiti<strong>on</strong>s performance between baseline <strong>and</strong> interventi<strong>on</strong> replicated across participants. The current investigati<strong>on</strong> c<strong>on</strong>tributes to a growing body of research examining strategies to increase vocati<strong>on</strong>al skills of students with intellectual disabilities. This study replicates findings from previous studies which found that students with moderate to severe intellectual disabilities can learn to effectively use h<strong>and</strong>held prompting systems, increase student aut<strong>on</strong>omy at <str<strong>on</strong>g>the</str<strong>on</strong>g> workplace, <strong>and</strong> de-
Figure 1. Number of independent tasks transiti<strong>on</strong>s across students. crease dependency <strong>on</strong> coworkers, teachers, job coaches, <strong>and</strong> peers (Cihak et al., in press; Davies et al., 2002a, 2002b, 2004; Fergus<strong>on</strong> et al., 2005; Furniss et al., 2001; Riffel et al., 2005). Prior to <str<strong>on</strong>g>the</str<strong>on</strong>g> h<strong>and</strong>held prompting interven- H<strong>and</strong>held Prompting System / 107
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DC: OSERS. (ERIC Document Reproduct
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people who do not have disabilities
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TABLE 1 School Demographics Demogra
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participate in service learning pro
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service learning activity for stude
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Group B between one and two times p
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Kenji. For Kenji, all observation s
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