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Organizational Influences on Data Use among Child Welfare Workers.

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Title: Organizational Influences on Data Use among Child Welfare Workers.
Authors: Sang Jung Lee, Bright, Charlotte Lyn, Berlin, Lisa J.
Source: Child Welfare. 2013, Vol. 92 Issue 3, p97-118. 22p.
Subjects: Chi-squared test, Child welfare, Confidence intervals, Corporate culture, Epidemiology, Mathematical statistics, Research funding, Social workers, Statistics, Logistic regression analysis, Professional practice, Data analysis, Parameters (Statistics), Data analysis software, Statistical models, Descriptive statistics
Geographic Terms: Southern States
Abstract: This study addresses organizational factors associated with child welfare workers' data use in their day-to-day work. Survey data from 237 respondents were analyzed using logistic regression. Familiarity with data and supervisor support were significant predictors of child welfare workers' data use. Findings highlight the value of child welfare organizations (a) facilitating workers' familiarity with child welfare data and data use and (b) training or educating supervisors so that they can support workers' use of data. [ABSTRACT FROM AUTHOR]
Copyright of Child Welfare is the property of Child Welfare League of America and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
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  Data: Organizational Influences on Data Use among Child Welfare Workers.
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  Data: <searchLink fieldCode="AR" term="%22Sang+Jung+Lee%22">Sang Jung Lee</searchLink><br /><searchLink fieldCode="AR" term="%22Bright%2C+Charlotte+Lyn%22">Bright, Charlotte Lyn</searchLink><br /><searchLink fieldCode="AR" term="%22Berlin%2C+Lisa+J%2E%22">Berlin, Lisa J.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Child+Welfare%22">Child Welfare</searchLink>. 2013, Vol. 92 Issue 3, p97-118. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Child+welfare%22">Child welfare</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Corporate+culture%22">Corporate culture</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiology%22">Epidemiology</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+statistics%22">Mathematical statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Social+workers%22">Social workers</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Professional+practice%22">Professional practice</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Parameters+%28Statistics%29%22">Parameters (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Southern+States%22">Southern States</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: This study addresses organizational factors associated with child welfare workers' data use in their day-to-day work. Survey data from 237 respondents were analyzed using logistic regression. Familiarity with data and supervisor support were significant predictors of child welfare workers' data use. Findings highlight the value of child welfare organizations (a) facilitating workers' familiarity with child welfare data and data use and (b) training or educating supervisors so that they can support workers' use of data. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Child Welfare is the property of Child Welfare League of America and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=92045412
RecordInfo BibRecord:
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 97
    Subjects:
      – SubjectFull: Chi-squared test
        Type: general
      – SubjectFull: Child welfare
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Corporate culture
        Type: general
      – SubjectFull: Epidemiology
        Type: general
      – SubjectFull: Mathematical statistics
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Social workers
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Professional practice
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Parameters (Statistics)
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Statistical models
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Southern States
        Type: general
    Titles:
      – TitleFull: Organizational Influences on Data Use among Child Welfare Workers.
        Type: main
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          Name:
            NameFull: Sang Jung Lee
      – PersonEntity:
          Name:
            NameFull: Bright, Charlotte Lyn
      – PersonEntity:
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            NameFull: Berlin, Lisa J.
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              M: 05
              Text: 2013
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              Y: 2013
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              Value: 92
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              Value: 3
          Titles:
            – TitleFull: Child Welfare
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