Departments and Faculty Members in Folklore, by Carnegie Classification and Highest Degree Offered
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 Academy of Arts Sciences’ Humanities Indicators Project.
Faculty Members by Tenure Status, Fall 2012
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 Academy of Arts Sciences’ Humanities Indicators Project.
Faculty Members by Employment Status and Gender, Fall 2012
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 Academy of Arts Sciences’ Humanities Indicators Project.
Bachelor’s Degrees Completed in Folklore in the 2011–12 Academic Year
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 Academy 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
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 Academy of Arts Sciences’ Humanities Indicators Project.
Number of Students Completing a Minor in Folklore during the 2011–12 Academic Year
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 Academy of Arts Sciences’ Humanities Indicators Project.
Number of Graduate Students in Folklore during Fall 2012 Term
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 Academy of Arts Sciences’ Humanities Indicators Project.
Instructor of Record for Introductory Undergraduate Courses in Folklore, Fall 2012 Term
* 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 Academy of Arts Sciences’ Humanities Indicators Project.
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 Academy of Arts Sciences’ Humanities Indicators Project.
Instructor of Record for All Other (Non-Introductory) Undergraduate Courses in Folklore, Fall 2012 Term
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 Academy of Arts Sciences’ Humanities Indicators Project.
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 Academy of Arts Sciences’ Humanities Indicators Project.
Instructor of Record for All Graduate Courses in Folklore, Fall 2012 Term
* 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 Academy of Arts Sciences’ Humanities Indicators Project.
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 Academy of Arts Sciences’ Humanities Indicators Project.
Assessment* of Overall Undergraduate Student Learning in Folklore as of the Fall 2012 Term
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 Academy of Arts Sciences’ Humanities Indicators Project.
* 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 Academy of Arts Sciences’ Humanities Indicators Project.
Considerations in Tenure Decisions in Folklore, Fall 2012
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 Academy of Arts Sciences’ Humanities Indicators Project.
Faculty Tenure Decisions and New Hires
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 Academy of Arts Sciences’ Humanities Indicators Project.
Availability of Institutional or Departmental Support for Research, Fall 2012
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 Academy of Arts Sciences’ Humanities Indicators Project.
Folklore Departments Offering Online Courses, 2011–12 Academic Year
*Includes only departments that offer these courses.
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 Academy of Arts Sciences’ Humanities Indicators Project.
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 Academy of Arts Sciences’ Humanities Indicators Project.
Engagement with Digital Humanities as of Fall 2012
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 Academy of Arts Sciences’ Humanities Indicators Project.
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