Considerations in the adoption and utilization of automated input technologies to facilitate research data collection analyses and decision making

2.50
Hdl Handle:
http://hdl.handle.net/10755/159837
Type:
Presentation
Title:
Considerations in the adoption and utilization of automated input technologies to facilitate research data collection analyses and decision making
Abstract:
Considerations in the adoption and utilization of automated input technologies to facilitate research data collection analyses and decision making
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2001
Author:Abdoo, Yvonne
P.I. Institution Name:University of Michigan
Contact Address:School of Nursing 400 North Ingalls, Ann Arbor, MI, 48109-0482, USA
Contact Telephone:734.936.3681
Text: With the advances in information technology in the last decade, researchers have a wide range of options available to assist them in data collection and automated data entry. These options include a variety of input, storage, and retrieval technologies for statistical analyses as well as to take it one step further into the 21st century-- data warehousing and decision making. The purpose of this presentation is to share with other researchers considerations that should be made when selecting such software and required hardware, and the experiences that were encountered with designing and implementing an automated data collection and entry system while conducting 3 funded research studies over the past 5 years. A great deal was learned during the time of these studies regarding selection of software, hardware, and maintenance; design of questionnaires to maximize correct scanning; data collector training; and automatic conversion to the desired statistical analysis software. The authors found that automated data collection software when implemented with careful and thoughtful planning reduced the need for manual data entry and decreased the potential for data entry error, resulting in reduced personnel costs for data entry and more accurate data.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleConsiderations in the adoption and utilization of automated input technologies to facilitate research data collection analyses and decision makingen_GB
dc.identifier.urihttp://hdl.handle.net/10755/159837-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Considerations in the adoption and utilization of automated input technologies to facilitate research data collection analyses and decision making</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2001</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Abdoo, Yvonne</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Michigan</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">School of Nursing 400 North Ingalls, Ann Arbor, MI, 48109-0482, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">734.936.3681</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">abdoo@umich.edu</td></tr><tr><td colspan="2" class="item-abstract">Text: With the advances in information technology in the last decade, researchers have a wide range of options available to assist them in data collection and automated data entry. These options include a variety of input, storage, and retrieval technologies for statistical analyses as well as to take it one step further into the 21st century-- data warehousing and decision making. The purpose of this presentation is to share with other researchers considerations that should be made when selecting such software and required hardware, and the experiences that were encountered with designing and implementing an automated data collection and entry system while conducting 3 funded research studies over the past 5 years. A great deal was learned during the time of these studies regarding selection of software, hardware, and maintenance; design of questionnaires to maximize correct scanning; data collector training; and automatic conversion to the desired statistical analysis software. The authors found that automated data collection software when implemented with careful and thoughtful planning reduced the need for manual data entry and decreased the potential for data entry error, resulting in reduced personnel costs for data entry and more accurate data.</td></tr></table>en_GB
dc.date.available2011-10-26T22:22:48Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T22:22:48Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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