292
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Language, Gender, and School-Leadership Labor Markets

, &
Pages 305-324 | Published online: 05 Apr 2018
 

ABSTRACT

This study examines the extent to which male and female principal candidates use language to signal their perceived values specific to open positions in the field. We analyzed Wisconsin school-leader application data by gender, seeking to understand whether or not men and women present themselves differently through language in the initial application phase. Using an electronic linguistic analysis tool (Docuscope), we identified patterns in the writing samples from 2,061 applicants and applied critical discourse analysis to determine the role gender plays in candidates’ portrayals of themselves. This mixed-methods approach revealed that language use differs significantly between male and female applicants. Notably, linguistic variables common in female candidates’ writing tend to focus on elaborating ideas and using compare/contrast techniques to describe beliefs. Male applicants’ language is often more formal and relies heavily on passive voice. Our findings raise questions as to whether candidates may be selected because of an unconscious preference for language patterns commonly used by females or males.

Notes

1. The language theory underpinning Docuscope and the categories it sets up are detailed in Kaufer et al. A number of studies illustrating its use in the classroom, and authorship work, are listed at http://www.cmu.edu/dietrich/english/research/docuscope.html.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 395.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.