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prepared data


Warm data by beachmobjellies is licensed under CC BY-SA 2.0

This page provides access to data underlying selected displays published by the MIDFIELD team. The data are in the prepared form used to construct the figures. The figure is shown accompanied by a link to the CSV data file. Figures are organized by the paper in which they appeared.

To download a data file:

  • Follow the link to view the data in HTML format
  • Right-click on the “Raw” icon > Save link as … to download the file

2019 JEE

Beyond pipeline and pathways: Ecosystem metrics [1]
Images copyright 2019 Journal of Engineering Education

Figure 4

  • Graduation rates of starters in a discipline grouped by race/ethnicity and sex
  • data file (link)

Figure 8

  • Stickiness of a discipline (left column) and the associated increase in stickiness (right column) for students ever in that discipline who graduate in any other major
  • data (link)

Figure 10

  • Contour plot of migration yield as the product of the fraction of migrators attracted to a discipline (horizontal scale) and the fraction of those students graduating in the discipline (vertical scale).
  • data (link) placeholder

2011 JEE

Race, gender, and measures of success in engineering education [2]
Images copyright 2011 Journal of Engineering Education

Figure 1

  • The number of men (open circles) and women (filled circles) at a particular institution who matriculate in engineering and persist to the eighth semester (horizontal position) and the number of those students who subsequently graduate in engineering within six years (vertical position).
  • data file (link)

Figure 2

  • Eight-semester persistence, yield, and six-year graduation rate of various populations. Each panel compares institutions by gender. All races/ethnicities are aggregated in the main panel (Figure 2.1) and disaggregated in the smaller panels (Figures 2.2 through 2.6).
  • data file 2.1 (link)

Figure 3

  • Six-year graduation rates disaggregated by institution and gender. Individual panels compare behaviors by race/ethnicity.
  • data (link) placeholder

2009 JWMSE

Who’s persisting in engineering? A comparative analysis of female and male Asian, Black, Hispanic, Native American, and White students [3]
Images copyright 2009 Journal of Women and Minorities in Science and Engineering

Figure 2

  • Comparison by gender of the eighth-semester destinations of Engineering matriculants.
  • data file (link)

Figure 4

  • Percentages of Engineering matriculants persisting to the eighth-semester in Engineering.
  • data (link) placeholder

Figure 5

  • Comparison by gender (with all races aggregated) of the distribution of fourth-semester GPAs in STEM courses
  • data (link) placeholder

2008 JEE

Persistence, engagement, and migration in engineering programs [4]
Images copyright 2008 Journal of Engineering Education

Figure 1

  • MIDFIELD persistence chart: Outcomes at eight semesters for students matriculating in various major groups, 1987–1999
  • data (link) placeholder

Figure 2

  • MIDFIELD migration chart: The matriculation major of students in various major groups in the eighth semester
  • data (link) placeholder

Figure 3

  • MIDFIELD persistence chart for institutional comparison, all institutions, 1987–1999
  • data (link) placeholder

Table 10

  • Cumulative frequency of transcript-recorded grades in MIDFIELD data
  • data file (link)

references

1. Lord SM, Ohland MW, Layton RA, Camacho MM (2019) Beyond pipeline and pathways: Ecosystem metrics. Journal of Engineering Education, 108(1):32–56. https://doi.org/https://doi.org/10.1002/jee.20250

2. Ohland MW, Brawner CE, Camacho MM, Layton RA, Long RA, Lord SM, Wasburn MH (2011) Race, gender, and measures of success in engineering education. Journal of Engineering Education, 100(2):225–252. https://doi.org/https://doi.org/10.1002/j.2168-9830.2011.tb00012.x

3. Lord SM, Camacho MM, Layton RA, Ohland RALMW, Wasburn MH (2009) Who’s persisting in engineering? A comparative analysis of female and male Asian, Black, Hispanic, Native American, and White students. Journal of Women and Minorities in Science and Engineering, 15:167–190.

4. Ohland MW, Sheppard SD, Lichtenstein G, Eris O, Chachra D, Layton RA (2008) Persistence, engagement, and migration in engineering programs. Journal of Engineering Education, 97(3):259–278. https://doi.org/https://doi.org/10.1002/j.2168-9830.2008.tb00978.x

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