A comparison of generalised linear models to determine the academic success of university students from traditionally disadvantaged backgrounds

Original language	English
Publication status	Published - 5 Sept 2024
Event	Royal Statistical Society Annual Conference 2024 - Hilton Hotel, Brighton, United Kingdom Duration: 2 Sept 2024 → 5 Sept 2024

Conference

Conference	Royal Statistical Society Annual Conference 2024
Abbreviated title	RSS 2024
Country/Territory	United Kingdom
City	Brighton
Period	2/09/24 → 5/09/24

Keywords

• linear models
• disadvantaged students

Projects

• 1 Active

• The relationship between widening access and success at university: a data-driven statistical investigation

  Burns, N. (Principal Investigator)

  1/10/20 → …

  Project: Research

  File

  • UK 100%
  • Science, Technology, Engineering and Mathematics 45%
  • Secondary Schools 39%
  • Scottish Government 30%
  • Dropouts 30%

Research output

• 1 Article

• The effect of Advanced Higher Mathematics on success within STEM degree-programs

  Burns, N. P., Young, D. & Kelly, L., 14 Nov 2025, In: MSOR Connections. 24, 1, p. 33-43 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Science, Technology, Engineering and Mathematics 100%
  • UK 100%
  • Secondary Schools 50%

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Burns, N., Young, D., Sherriff, A., & Kelly, L. (2024). A comparison of generalised linear models to determine the academic success of university students from traditionally disadvantaged backgrounds. Poster session presented at Royal Statistical Society Annual Conference 2024, Brighton, United Kingdom.

Burns, Nathan ; Young, David ; Sherriff, A. et al. / A comparison of generalised linear models to determine the academic success of university students from traditionally disadvantaged backgrounds. Poster session presented at Royal Statistical Society Annual Conference 2024, Brighton, United Kingdom.

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title = "A comparison of generalised linear models to determine the academic success of university students from traditionally disadvantaged backgrounds",

keywords = "linear models, disadvantaged students",

author = "Nathan Burns and David Young and A. Sherriff and Louise Kelly",

year = "2024",

month = sep,

day = "5",

language = "English",

note = "Royal Statistical Society Annual Conference 2024, RSS 2024 ; Conference date: 02-09-2024 Through 05-09-2024",

}

Burns, N, Young, D, Sherriff, A & Kelly, L 2024, 'A comparison of generalised linear models to determine the academic success of university students from traditionally disadvantaged backgrounds', Royal Statistical Society Annual Conference 2024, Brighton, United Kingdom, 2/09/24 - 5/09/24.

A comparison of generalised linear models to determine the academic success of university students from traditionally disadvantaged backgrounds. / Burns, Nathan; Young, David; Sherriff, A. et al.
2024. Poster session presented at Royal Statistical Society Annual Conference 2024, Brighton, United Kingdom.

Research output: Contribution to conference › Poster

TY - CONF

T1 - A comparison of generalised linear models to determine the academic success of university students from traditionally disadvantaged backgrounds

AU - Burns, Nathan

AU - Young, David

AU - Sherriff, A.

AU - Kelly, Louise

PY - 2024/9/5

Y1 - 2024/9/5

KW - linear models

KW - disadvantaged students

M3 - Poster

T2 - Royal Statistical Society Annual Conference 2024

Y2 - 2 September 2024 through 5 September 2024

ER -

Burns N, Young D, Sherriff A, Kelly L. A comparison of generalised linear models to determine the academic success of university students from traditionally disadvantaged backgrounds. 2024. Poster session presented at Royal Statistical Society Annual Conference 2024, Brighton, United Kingdom.