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Folklore report (17 pp.) Departments in folklore studies were surveyed for the first time with the 2012–13 Humanities Departmental Survey (HDS-2), and received a 93% response rate (14 of 15 departments). Folklore is the smallest of the studies, and several potential respondents replied to our request to participate to tell us they offered a minor only, no major. If respondents told us they offered a “concentration” in folklore, we encouraged them to participate.

Overview

  • Number of Departments and Faculty by Carnegie Classification and Highest Degree Offered, Fall 2012 (FL1)
  • Faculty (overview, all disciplines)

  • Faculty Members by Tenure Status, Fall 2012 (FL2)
  • Faculty Members by Employment Status and Gender, Fall 2012 (FL3)
  • Considerations in Tenure Decisions, Fall 2012 (FL13)
  • Faculty Tenure Decisions and New Hires (FL14)
  • Instructor of Record for Undergraduate Introductory Courses, Fall 2012 Term (FL9)
  • Instructor of Record for All Other Undergraduate (Non-Introductory) Courses, Fall 2012 Term (FL10)
  • Instructor of Record for All Graduate Courses, Fall 2012 Term (FL11)
  • Students (overview, all disciplines)

    Undergraduates

  • Bachelor’s Degrees Completed in the 2011-12 Academic Year (FL5)
  • Number of Juniors and Seniors with Declared Major in as of the Beginning of the Fall 2012 Term (FL6)
  • Number of Students Completing a Minor during the 2011-12 Academic Year (FL7)
  • Assessment of Overall Undergraduate Student Learning as of the Fall 2012 Term (FL12)
  • Graduate Students

  • Number of Graduate Students during Fall 2012 Term (FL8)
  • Departmental Issues (overview, all disciplines)

  • Availability of Institutional or Departmental Support for Research (FL15)
  • Departments Offering Online Courses by Carnegie Classification and Form of Control, 2011-12 Academic Year (FL16)
  • Engagement with Digital Humanities by Carnegie Classification and Form of Control as of Fall 2012 (FL17)
  • Departments and Faculty Members in Folklore, by Carnegie Classification and Highest Degree Offered

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    Source: Susan White, Raymond Chu, and Roman Czujko, The 2012–13 Survey of Humanities Departments at Four-Year Institutions (College Park, MD: Statistical Research Center, American Institute of Physics, 2014). Study conducted for the American Ƶ of Arts Sciences’ Humanities Indicators Project.

    Bachelor’s Degrees Completed in Folklore in the 2011–12 Academic Year

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    Source: Susan White, Raymond Chu, and Roman Czujko, The 2012–13 Survey of Humanities Departments at Four-Year Institutions (College Park, MD: Statistical Research Center, American Institute of Physics, 2014). Study conducted for the American Ƶ of Arts Sciences’ Humanities Indicators Project.

    Number of Juniors and Seniors with Declared Major in Folklore as of the Beginning of the Fall 2012 Term

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    Source: Susan White, Raymond Chu, and Roman Czujko, The 2012–13 Survey of Humanities Departments at Four-Year Institutions (College Park, MD: Statistical Research Center, American Institute of Physics, 2014). Study conducted for the American Ƶ of Arts Sciences’ Humanities Indicators Project.

    Number of Students Completing a Minor in Folklore during the 2011–12 Academic Year

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    Source: Susan White, Raymond Chu, and Roman Czujko, The 2012–13 Survey of Humanities Departments at Four-Year Institutions (College Park, MD: Statistical Research Center, American Institute of Physics, 2014). Study conducted for the American Ƶ of Arts Sciences’ Humanities Indicators Project.

    Instructor of Record for Introductory Undergraduate Courses in Folklore, Fall 2012 Term

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    * Proportion is significantly different from all other disciplines combined at the 5% level. We used regression analysis for these tests with a binary (0-1) variable for the level of interest. If the coefficient for the binary variable differed significantly from 0, then the interpretation from regression is that the discipline differs from all other levels combined.
    Statistical significance depends on a number of factors, not solely the absolute difference between two values. While differences that are not marked as significant may seem to be the same size as, or even larger than, those marked as significant, they are not statistically significant. The most likely factors contributing to the lack of significance when the absolute difference seems “large enough” are a smaller sample size or a larger variation within that discipline.
    Source: Susan White, Raymond Chu, and Roman Czujko, The 2012–13 Survey of Humanities Departments at Four-Year Institutions (College Park, MD: Statistical Research Center, American Institute of Physics, 2014). Study conducted for the American Ƶ of Arts Sciences’ Humanities Indicators Project.

    Instructor of Record for All Other (Non-Introductory) Undergraduate Courses in Folklore, Fall 2012 Term

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    We used regression analysis for these tests with a binary (0-1) variable for the level of interest. If the coefficient for the binary variable differed significantly from 0, then the interpretation from regression is that the discipline differs from all other levels combined.
    Statistical significance depends on a number of factors, not solely the absolute difference between two values. While differences that are not marked as significant may seem to be the same size as, or even larger than, those marked as significant, they are not statistically significant. The most likely factors contributing to the lack of significance when the absolute difference seems “large enough” are a smaller sample size or a larger variation within that discipline.
    Source: Susan White, Raymond Chu, and Roman Czujko, The 2012–13 Survey of Humanities Departments at Four-Year Institutions (College Park, MD: Statistical Research Center, American Institute of Physics, 2014). Study conducted for the American Ƶ of Arts Sciences’ Humanities Indicators Project.

    Instructor of Record for All Graduate Courses in Folklore, Fall 2012 Term

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    * Proportion is significantly different from all other disciplines combined at the 5% level.
    We used regression analysis for these tests with a binary (0-1) variable for the level of interest. If the coefficient for the binary variable differed significantly from 0, then the interpretation from regression is that the discipline differs from all other levels combined.
    Statistical significance depends on a number of factors, not solely the absolute difference between two values. While differences that are not marked as significant may seem to be the same size as, or even larger than, those marked as significant, they are not statistically significant. The most likely factors contributing to the lack of significance when the absolute difference seems “large enough” are a smaller sample size or a larger variation within that discipline.
    Source: Susan White, Raymond Chu, and Roman Czujko, The 2012–13 Survey of Humanities Departments at Four-Year Institutions (College Park, MD: Statistical Research Center, American Institute of Physics, 2014). Study conducted for the American Ƶ of Arts Sciences’ Humanities Indicators Project.

    Assessment* of Overall Undergraduate Student Learning in Folklore as of the Fall 2012 Term

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    Note: The sum of the four rows in any column may exceed 100% because respondents could select multiple choices.
    * The “assessment” is an aggregate assessment based on examining the results from a given cohort of students in an attempt to examine the effectiveness of a program.
    Source: Susan White, Raymond Chu, and Roman Czujko, The 2012–13 Survey of Humanities Departments at Four-Year Institutions (College Park, MD: Statistical Research Center, American Institute of Physics, 2014). Study conducted for the American Ƶ of Arts Sciences’ Humanities Indicators Project.
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