Comparing Teachers' Job Satisfaction across Countries: A Multiple‐Pairwise Measurement Invariance Approach.

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Title: Comparing Teachers' Job Satisfaction across Countries: A Multiple‐Pairwise Measurement Invariance Approach.
Authors: Zieger, Laura1 (AUTHOR), Sims, Sam1 (AUTHOR), Jerrim, John1 (AUTHOR)
Source: Educational Measurement: Issues & Practice. Sep2019, Vol. 38 Issue 3, p75-85. 11p. 1 Diagram, 4 Charts, 3 Graphs.
Subject Terms: *Job satisfaction, *Teachers, Countries, Measurement
Geographic Terms: England
Abstract: There is much interest in comparing latent traits, such as teacher job satisfaction, in large international surveys. However, different countries respond to questionnaires in different languages and interpret the questions through different cultural lenses, raising doubts about the psychometric equivalence of the measurements. Making valid comparisons depends on the latent traits displaying scalar measurement invariance. Unfortunately, this condition is rarely met across many countries at once. Different approaches that maximize the utility of such surveys, but remain faithful to the principles of measurement invariance testing, are therefore needed. This article illustrates one such approach, involving multiple‐pairwise comparisons. This enables us to compare teacher job satisfaction in England to 17 of the countries that participated in TALIS 2013. Teacher job satisfaction in England was as low, or lower, than all of the 17 comparable countries. [ABSTRACT FROM AUTHOR]
Copyright of Educational Measurement: Issues & Practice is the property of Wiley-Blackwell 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.)
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  Data: <searchLink fieldCode="JN" term="%22Educational+Measurement%3A+Issues+%26+Practice%22">Educational Measurement: Issues & Practice</searchLink>. Sep2019, Vol. 38 Issue 3, p75-85. 11p. 1 Diagram, 4 Charts, 3 Graphs.
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  Data: *<searchLink fieldCode="DE" term="%22Job+satisfaction%22">Job satisfaction</searchLink><br />*<searchLink fieldCode="DE" term="%22Teachers%22">Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Countries%22">Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement%22">Measurement</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22England%22">England</searchLink>
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  Data: There is much interest in comparing latent traits, such as teacher job satisfaction, in large international surveys. However, different countries respond to questionnaires in different languages and interpret the questions through different cultural lenses, raising doubts about the psychometric equivalence of the measurements. Making valid comparisons depends on the latent traits displaying scalar measurement invariance. Unfortunately, this condition is rarely met across many countries at once. Different approaches that maximize the utility of such surveys, but remain faithful to the principles of measurement invariance testing, are therefore needed. This article illustrates one such approach, involving multiple‐pairwise comparisons. This enables us to compare teacher job satisfaction in England to 17 of the countries that participated in TALIS 2013. Teacher job satisfaction in England was as low, or lower, than all of the 17 comparable countries. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Educational Measurement: Issues & Practice is the property of Wiley-Blackwell 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.)
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        Value: 10.1111/emip.12254
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        Text: English
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        PageCount: 11
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    Subjects:
      – SubjectFull: Job satisfaction
        Type: general
      – SubjectFull: Teachers
        Type: general
      – SubjectFull: Countries
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              M: 09
              Text: Sep2019
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