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| Recent Research on Assessment in OBM |
| Saturday, May 27, 2006 |
| 3:00 PM–4:20 PM |
| Vancouver |
| Area: OBM; Domain: Service Delivery |
| Chair: James W. Jackson (Southern Illinois University, Carbondale) |
| CE Instructor: David A. Wilder, Ph.D. |
| Abstract: Three papers on assessment in OBM will be presented. |
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| The Accuracy of Managerial Prediction of Preference Among Employees. |
| KRISTEN ROST (Florida Institute of Technology), David A. Wilder (Florida Institute of Technology), Megan McMahon (Florida Institute of Technology) |
| Abstract: We asked managers to predict items they thought their employees would prefer to earn as part of a performance improvement plan. Next, we asked employees what they would prefer to earn. The managerial predictions were then compared to employee report. |
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| Keeping an Uphill Edge: Using the PDC and PIC/NIC Analysis to Identify and Manage Cleaning Behaviors at a Ski Shop. |
| JOSHUA LIVESEY (Appalachian State University), Jessica Doll (Appalachian State University), Timothy D. Ludwig (Appalachian State University) |
| Abstract: Using Austin’s (1996) PDC we identified 7 cleaning behaviors that were deficient in employees of a local ski shop. Following a 4-week baseline, the 7 cleaning behaviors were monitored and 5 were targeted for an ABC design intervention. A PIC/NIC Analysis (Daniels & Daniels, 2004) suggested the following intervention tactics: a task clarification session, a performance checklist, publicly posted graphic feedback, and private written feedback. After the first phase of the intervention, cleaning behaviors increased 53%, and the second phase of intervention caused an additional 12% increase. In addition, the results suggested response generalization to the 2 cleaning behaviors not targeted for intervention. |
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| Mobile Computing Solutions for Organizational Behavioral Management Applications: Performance Checklists. |
| JAMES W. JACKSON (Southern Illinois University, Carbondale), Mark R. Dixon (Southern Illinois University) |
| Abstract: Recent developments in computer technology and the increasing affordability of devices using that technology have many implications for the field of behavior analysis. Combining the utility of any device running the Windows CE operating system and Microsoft Visual Basic will allow anyone with basic computer skills to design and create custom data collection system applications that are portable and functional. The current presentation describes the development of simple technological solutions for the collection of data in organizational behavior management applications using the Pocket PC and Microsoft Visual Basic. The current presentation describes the methods necessary to create performance checklists that can be customized based on the specific job performance skills targeted, individual subject performance, or group performance. |
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