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More than Meets the Eye? Using Text Analytic Techniques to Unpack School Mission Statements

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  • Valentina A. Bali
  • Devin Higgins

Abstract

Schools develop mission statements in part to communicate their purposes of schooling to internal and external audiences. The goal of this study is to employ text analytic techniques to analyze school mission statements. Focusing on Arizona and New Jersey’s schools, we seek to understand: 1) what themes (topics) emerge from their mission statements, 2) whether local context (politics) and institutional factors (being a charter) mediate topic prevalence, and 3) how similar school mission statements are to one another overall and across select factors. Using structural topic modeling we find that five topics emerge as particularly prevalent, and they address key purposes within the US context related to social, academic, and civic development with an emphasis on a safe environment and a sense of community. Local political leanings have a minor impact on the prevalence of topics but being a charter has a distinct influence. Compared to regular schools, charters are more likely to include themes related to preparing for college, academic approaches, and character and family ties, but they place lower emphasis on community and citizenship themes. School missions display moderate levels of similarity, indicating that a common set vocabulary has permeated schools’ missions, though differences remain, including between states. Overall, this study deepens our understanding of the varieties of schools’ missions and reveals text analytic techniques are well suited for uncovering them.

Suggested Citation

  • Valentina A. Bali & Devin Higgins, 2023. "More than Meets the Eye? Using Text Analytic Techniques to Unpack School Mission Statements," SAGE Open, , vol. 13(4), pages 21582440231, December.
  • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231218495
    DOI: 10.1177/21582440231218495
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    References listed on IDEAS

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    1. Christopher C. Morphew & Matthew Hartley, 2006. "Mission Statements: A Thematic Analysis of Rhetoric across Institutional Type," The Journal of Higher Education, Taylor & Francis Journals, vol. 77(3), pages 456-471, May.
    2. James Davis & John Ruhe & Monle Lee & Ujvala Rajadhyaksha, 2007. "Mission Possible: Do School Mission Statements Work?," Journal of Business Ethics, Springer, vol. 70(1), pages 99-110, January.
    3. Margaret E. Roberts & Brandon M. Stewart & Edoardo M. Airoldi, 2016. "A Model of Text for Experimentation in the Social Sciences," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 988-1003, July.
    4. Kevin M. Quinn & Burt L. Monroe & Michael Colaresi & Michael H. Crespin & Dragomir R. Radev, 2010. "How to Analyze Political Attention with Minimal Assumptions and Costs," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 209-228, January.
    5. Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(3), pages 267-297, July.
    6. Ethem Duygulu & Emir Ozeren & Pınar Işıldar & Andrea Appolloni, 2016. "The Sustainable Strategy for Small and Medium Sized Enterprises: The Relationship between Mission Statements and Performance," Sustainability, MDPI, vol. 8(7), pages 1-16, July.
    7. William Patrick Leonard & Chia-Hsing Huang, 2014. "Linking Classroom Performance to the Institutional Mission Statement," SAGE Open, , vol. 4(1), pages 21582440135, January.
    8. Braun, Susanne & Wesche, Jenny S & Frey, Dieter & Weisweiler, Silke & Peus, Claudia, 2012. "Effectiveness of mission statements in organizations – A review," Journal of Management & Organization, Cambridge University Press, vol. 18(4), pages 430-444, July.
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