Reducing quantitative data errors: tips for clinical researchers

Data errors, or missing and inaccurate data, can compromise research findings. Steps can be taken before and during data collection, as well as during data entry that will minimize data errors. The purpose of this article is to discuss ways to reduce quantitative data errors through thoughtful plann...

Full description

Saved in:
Bibliographic Details
Published in:Applied nursing research 2004-05, Vol.17 (2), p.125-129
Main Authors: Schneider, Joanne Kraenzle, Deenan, Aporn
Format: Article
Language:English
Subjects:
Clinical Nursing Research - methods
Clinical Nursing Research - standards
Data Collection - methods
Data Collection - standards
Humans
Nursing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c352t-72c87cc393c567672ed6ad03e17e17c75923ff43b83b0bc382aae41ad83039b23
cites cdi_FETCH-LOGICAL-c352t-72c87cc393c567672ed6ad03e17e17c75923ff43b83b0bc382aae41ad83039b23
container_end_page 129
container_issue 2
container_start_page 125
container_title Applied nursing research
container_volume 17
creator Schneider, Joanne Kraenzle
Deenan, Aporn
description Data errors, or missing and inaccurate data, can compromise research findings. Steps can be taken before and during data collection, as well as during data entry that will minimize data errors. The purpose of this article is to discuss ways to reduce quantitative data errors through thoughtful planning of the data collection form, careful reviewing of completed data forms in the field and laboratory, and consideration of accurate and efficient data entry with thorough verification methods. Clinical researchers are provided with tips and examples for reducing data errors.
doi_str_mv 10.1016/j.apnr.2004.02.001
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_71957822</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0897189704000217</els_id><sourcerecordid>71957822</sourcerecordid><originalsourceid>FETCH-LOGICAL-c352t-72c87cc393c567672ed6ad03e17e17c75923ff43b83b0bc382aae41ad83039b23</originalsourceid><addsrcrecordid>eNp9kE1Lw0AQhhdRbK3-AQ-Sk7fE_chmE_GgFL-gIIiel81kolvSJN3dFPz3JrTgTRhmLs_7wjyEXDKaMMqym3Vi-tYlnNI0oTyhlB2ROZOCxzmn7JjMaV6omI1rRs68X48ASzN6SmZMMpkyLufk_h2rAWz7FW0H0wYbTLA7jCoTTITOdc7fRsH2Pqo7F0FjWwumiRx6NA6-0flzclKbxuPF4S7I59Pjx_IlXr09vy4fVjEIyUOsOOQKQBQCZKYyxbHKTEUFMjUOKFlwUdepKHNR0hJEzo3BlJkqF1QUJRcLcr3v7V23HdAHvbEesGlMi93gtWKFVDmfQL4HwXXeO6x17-zGuB_NqJ686bWevOnJm6Zcj1rG0NWhfSg3WP1FDqJG4G4P4PjjzqLTHiy2gJV1CEFXnf2v_xdp4X5s</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>71957822</pqid></control><display><type>article</type><title>Reducing quantitative data errors: tips for clinical researchers</title><source>ScienceDirect Freedom Collection</source><creator>Schneider, Joanne Kraenzle ; Deenan, Aporn</creator><creatorcontrib>Schneider, Joanne Kraenzle ; Deenan, Aporn</creatorcontrib><description>Data errors, or missing and inaccurate data, can compromise research findings. Steps can be taken before and during data collection, as well as during data entry that will minimize data errors. The purpose of this article is to discuss ways to reduce quantitative data errors through thoughtful planning of the data collection form, careful reviewing of completed data forms in the field and laboratory, and consideration of accurate and efficient data entry with thorough verification methods. Clinical researchers are provided with tips and examples for reducing data errors.</description><identifier>ISSN: 0897-1897</identifier><identifier>EISSN: 1532-8201</identifier><identifier>DOI: 10.1016/j.apnr.2004.02.001</identifier><identifier>PMID: 15154125</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Clinical Nursing Research - methods ; Clinical Nursing Research - standards ; Data Collection - methods ; Data Collection - standards ; Humans ; Nursing</subject><ispartof>Applied nursing research, 2004-05, Vol.17 (2), p.125-129</ispartof><rights>2004 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-72c87cc393c567672ed6ad03e17e17c75923ff43b83b0bc382aae41ad83039b23</citedby><cites>FETCH-LOGICAL-c352t-72c87cc393c567672ed6ad03e17e17c75923ff43b83b0bc382aae41ad83039b23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15154125$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schneider, Joanne Kraenzle</creatorcontrib><creatorcontrib>Deenan, Aporn</creatorcontrib><title>Reducing quantitative data errors: tips for clinical researchers</title><title>Applied nursing research</title><addtitle>Appl Nurs Res</addtitle><description>Data errors, or missing and inaccurate data, can compromise research findings. Steps can be taken before and during data collection, as well as during data entry that will minimize data errors. The purpose of this article is to discuss ways to reduce quantitative data errors through thoughtful planning of the data collection form, careful reviewing of completed data forms in the field and laboratory, and consideration of accurate and efficient data entry with thorough verification methods. Clinical researchers are provided with tips and examples for reducing data errors.</description><subject>Clinical Nursing Research - methods</subject><subject>Clinical Nursing Research - standards</subject><subject>Data Collection - methods</subject><subject>Data Collection - standards</subject><subject>Humans</subject><subject>Nursing</subject><issn>0897-1897</issn><issn>1532-8201</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNp9kE1Lw0AQhhdRbK3-AQ-Sk7fE_chmE_GgFL-gIIiel81kolvSJN3dFPz3JrTgTRhmLs_7wjyEXDKaMMqym3Vi-tYlnNI0oTyhlB2ROZOCxzmn7JjMaV6omI1rRs68X48ASzN6SmZMMpkyLufk_h2rAWz7FW0H0wYbTLA7jCoTTITOdc7fRsH2Pqo7F0FjWwumiRx6NA6-0flzclKbxuPF4S7I59Pjx_IlXr09vy4fVjEIyUOsOOQKQBQCZKYyxbHKTEUFMjUOKFlwUdepKHNR0hJEzo3BlJkqF1QUJRcLcr3v7V23HdAHvbEesGlMi93gtWKFVDmfQL4HwXXeO6x17-zGuB_NqJ686bWevOnJm6Zcj1rG0NWhfSg3WP1FDqJG4G4P4PjjzqLTHiy2gJV1CEFXnf2v_xdp4X5s</recordid><startdate>20040501</startdate><enddate>20040501</enddate><creator>Schneider, Joanne Kraenzle</creator><creator>Deenan, Aporn</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20040501</creationdate><title>Reducing quantitative data errors: tips for clinical researchers</title><author>Schneider, Joanne Kraenzle ; Deenan, Aporn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-72c87cc393c567672ed6ad03e17e17c75923ff43b83b0bc382aae41ad83039b23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Clinical Nursing Research - methods</topic><topic>Clinical Nursing Research - standards</topic><topic>Data Collection - methods</topic><topic>Data Collection - standards</topic><topic>Humans</topic><topic>Nursing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schneider, Joanne Kraenzle</creatorcontrib><creatorcontrib>Deenan, Aporn</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Applied nursing research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schneider, Joanne Kraenzle</au><au>Deenan, Aporn</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reducing quantitative data errors: tips for clinical researchers</atitle><jtitle>Applied nursing research</jtitle><addtitle>Appl Nurs Res</addtitle><date>2004-05-01</date><risdate>2004</risdate><volume>17</volume><issue>2</issue><spage>125</spage><epage>129</epage><pages>125-129</pages><issn>0897-1897</issn><eissn>1532-8201</eissn><abstract>Data errors, or missing and inaccurate data, can compromise research findings. Steps can be taken before and during data collection, as well as during data entry that will minimize data errors. The purpose of this article is to discuss ways to reduce quantitative data errors through thoughtful planning of the data collection form, careful reviewing of completed data forms in the field and laboratory, and consideration of accurate and efficient data entry with thorough verification methods. Clinical researchers are provided with tips and examples for reducing data errors.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>15154125</pmid><doi>10.1016/j.apnr.2004.02.001</doi><tpages>5</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0897-1897
ispartof Applied nursing research, 2004-05, Vol.17 (2), p.125-129
issn 0897-1897
1532-8201
language eng
recordid cdi_proquest_miscellaneous_71957822
source ScienceDirect Freedom Collection
subjects Clinical Nursing Research - methods
Clinical Nursing Research - standards
Data Collection - methods
Data Collection - standards
Humans
Nursing
title Reducing quantitative data errors: tips for clinical researchers
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T15%3A20%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reducing%20quantitative%20data%20errors:%20tips%20for%20clinical%20researchers&rft.jtitle=Applied%20nursing%20research&rft.au=Schneider,%20Joanne%20Kraenzle&rft.date=2004-05-01&rft.volume=17&rft.issue=2&rft.spage=125&rft.epage=129&rft.pages=125-129&rft.issn=0897-1897&rft.eissn=1532-8201&rft_id=info:doi/10.1016/j.apnr.2004.02.001&rft_dat=%3Cproquest_cross%3E71957822%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c352t-72c87cc393c567672ed6ad03e17e17c75923ff43b83b0bc382aae41ad83039b23%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=71957822&rft_id=info:pmid/15154125&rfr_iscdi=true