Glossary

Respondent = any student who began the survey

PGR student = postgraduate research student (including Masters by Research and PhD  / Doctoral students)

PGR cohort size = respondents categorised by enrolment in a higher education institution with a PGR student population of a particular size, i.e. PGR students enrolled in institutions with a PGR cohort of greater than 250 students, or students enrolled in institutions with a PGR cohort of fewer than 250 students

Research degree programme type = respondents categorised by research degree programme type, i.e. NFQ Level 9 (i.e. Masters by research) degrees, or NFQ Level 10 (i.e. PhD) degrees

Mode of study = respondents categorised by nature of enrolment, i.e. full-time or part-time/ remote

Field of study = respondents categorised by broad ISCED field of study, i.e. Generic programmes and qualifications; Education; Arts and humanities; Social sciences, journalism, and information; Business, administration, and law; Natural sciences, mathematics, and statistics; Information and Communication Technologies (ICTs); Engineering, manufacturing, and construction; Agriculture, forestry, fisheries, and veterinary; Health and welfare; or Services

Country of domicile = respondents categorised by country of permanent address prior to entry to their programme of study, i.e. Irish domiciled students (students for whom Ireland, including Northern Ireland, is their country of permanent address) or internationally domiciled students (students for whom another country is their country of permanent address)

Effect size = any measure of the strength of a relationship between two variables. Large numbers of respondents make it more likely that any small difference will be statistically significant. Effect size attempts to measure real-world significance. The National Survey of Student Engagement (NSSE) proposed reference values for the interpretation of effect sizes from benchmark comparisons[1]:

Small = 0.1                        Medium = 0.3                  Large = 0.5                       Very Large = 0.7

[1] NSSE (2007). Contextualizing NSSE Effect Sizes: Empirical Analysis and Interpretation of Benchmark Comparisons. Retrieved on 16 July 2020 from https://pdfs.semanticscholar.org/35a1/604af3043e9347e8238f10a403d24f3ceab6.pdf