This data set shows the average attendance rate for students in NSW government schools by Statistical Area 4 (SA4).

Data notes

• 2021 data is not comparable to previous years due to the continued effects of the COVID-19 pandemic, changes to calculation rules to align with ACARA’s national standards (version 3) and changes to the way attendance data is transferred into the department’s centralised data warehouse. Please refer to 2021 Semester 1 student attendance factsheet for more information.

• 2020 data is not provided because students were encouraged to learn from home for several weeks in Semester 1. Please refer to the factsheet on The effects of COVID-19 on attendance during Semester 1 2020 for more information.

• In 2018 NSW government schools implemented the national standards for student attendance data reporting. This resulted in a fall in attendance rates for most schools due to the inclusion of part day absences and accounting for student mobility in the calculation. Data from 2018 onwards is not comparable with earlier years.

• Schools for Specific Purposes (SSPs) are only included from 2021. Prior to this SSP attendance data was not collected centrally.

• The attendance rate is defined as the number of actual full-time equivalent student days attended by full-time students in Years 1–10 as a percentage of the total number of possible student-days attended in Semester 1. Figures are aligned with the National Report on Schooling and the My School website.

• SA4 refers to the ABS Australian Statistical Geography Standard (ASGS) Edition 3 Statistical Area 4 (SA4) – 2021.

• ‘Other Territories’ has been assigned to Norfolk Island Central School, which operated under the responsibility of NSW Department of Education between 2018-2021.

Data source

Semester 1 Return of Absences Collection

Data quality statement

The Attendance Data Quality Statement addresses the quality of the Attendance dataset using the dimensions outlined in the NSW Department of Education's data quality management framework: institutional environment, relevance, timeliness, accuracy, coherence, interpretability and accessibility. It provides an overview of the dataset's quality and highlights any known data quality issues.

GENERATION is a new study of young Australians to understand youth transitions from school to post school destinations, including a focus on how the COVID-19 pandemic may influence decisions and pathways. GENERATION tracks the interests, hopes and aspirations of young people. A representative group of Year 10 students (around 15 years of age), from over 300 schools across Australia, participated in the first wave of the study in 2022. Two additional surveys were completed in 2023 (Wave 2) and 2024 (Wave 3). The study aims to run for a decade, concluding in 2032 when the cohort is aged 25. The GENERATION survey, is conducted in partnership between the Australian National University and the Australian Department of Education, with advice from educational units of all Australian state and territory governments and a scientific advisory group.

The Index of Educational Disadvantage for SA Government schools, each year from 2017 (not 2019). The Index of Educational Disadvantage is a socio-economic index, used by the Department for Education to allocate resources to schools to address educational disadvantage related to socio-economic status. The most disadvantaged schools have an index of 1, the least disadvantaged have an index of 7. More information on the Index of Educational Disadvantage is available at https://www.education.sa.gov.au/sites/g/files/net691/f/educational_disadvantage_index_explanation.pdf

A dataset indicating which days from 2004 to 2022 are school holidays in the eight Australian capital cities (Adelaide, Brisbane, Canberra, Darwin, Hobart, Melbourne, Perth and Sydney). This applies to urban, government school students. The dataset is attached in both .txt format and .rda format.

Each observation represent a date and city. schoolhols is a binary variable (1 if the day occurs during the school holidays, 0 during the school term). school.hols is a factor variable which is 0 if the day occurs during the school term, 1 during the first school holiday period (the first after commencing the school year), 2 during the second, 3 during the third and 4 during the fourth (the summer break). Tasmania prior to 2013 had three instead of four official school terms; where this applies, the Easter break is treated as the first school holiday period (this break was generally longer than usual for school students), with subsequent holiday periods being denoted as the second, third and fourth holiday periods, respectively.

The data for each city was manually collected and combined from the state and territory government webpages included in the references. For any queries regarding this dataset, please do not hesitate to contact the author: matthew.borg@adelaide.edu.au.

The repository for the digitised Enggano word list from 1895 (see Stokhof and Almanar 1987 for the original source) that has been matched with the digitised Holle List (Rajeg 2023a; cf. Stokhof 1980), providing the English and Indonesian glosses for the Enggano forms. The data set conforms to the Wordlist module of the Cross-Linguistic Data Format (CLDF) (Forkel et al. 2018).

The work in this repository is part of the AHRC-funded research on Lexical resources for Enggano, a threatened language of Indonesia (visit the central webpage of the Enggano research and the specific repository of the Lexical Resources for Enggano project as well the main Enggano repository on the University of Oxford's Sustainable Digital Scholarship (SDS))

Updates in version 2.0.0

The following items summarise the major updates in version 2.0.0:

Adding MediaTable to accommodate images in/for note ID <26> (commits dab9540 & a004003 at this line and these lines)

Splitting multiple forms in a cell into their own rows, both for the original list and the forms in the Notes (commit 39cdc66 at this line and this line, and commit a004003 at this line)

Orthography transliteration into Enggano's common orthography and IPA (across several commits and [closed] issues [#1 #3 #4 #5 #7], but see these lines for retrieving the existing orthography profile and doing the editing, and these lines for running the transliteration using the qlcData R package [Moran & Cysouw 2018; Cysouw 2024])

In the FormTable, the Form column contains the Enggano forms in their common orthography; the Value column contains their original transcription/orthography, with their tokenised/segmented formats available under the Graphemes column; the Segments column, finally, contains the segmented IPA transliteration of the Enggano forms (cf. #6 ). The Comment column is derived from the contents of the Notes. It includes, if any, Enggano forms in their original transcription followed by their segmented/tokenised forms in IPA in square brackets, their glosses in English (EN) and/or Indonesian (ID) inside the bracket, and finally the ID of the Notes in the original document inside angular brackets. The English and Indonesian columns respectively are glosses of the given language from the master/main Holle List (Stokhof 1980) that has been digitised (Rajeg 2023a).

The output files of the orthography profiling and transliteration (commit 2aab3ab) are available in data-raw with the file names prefixed with ortho-....

References

Cysouw, Michael. 2024. qlcData: Processing Data for Quantitative Language Comparison. https://cran.r-project.org/web/packages/qlcData/index.html. (25 December, 2024). Version 0.3

Forkel, Robert, Johann-Mattis List, Simon J. Greenhill, Christoph Rzymski, Sebastian Bank, Michael Cysouw, Harald Hammarström, Martin Haspelmath, Gereon A. Kaiping & Russell D. Gray. 2018. Cross-Linguistic Data Formats, advancing data sharing and re-use in comparative linguistics. Scientific Data. Nature Publishing Group 5(1). 180205. https://doi.org/10.1038/sdata.2018.205.

Moran, Steven & Michael Cysouw. 2018. The Unicode cookbook for linguists: Managing writing systems using orthography profiles (Translation and Multilingual Natural Language Processing 10). Berlin: Language Science Press. https://doi.org/10.5281/zenodo.1296780.

Rajeg, Gede Primahadi Wijaya. 2023a. Digitised, Searchable Holle List in Stokhof (1980) [Data set]. (1.3.0). Zenodo. https://doi.org/10.5281/ZENODO.7972273. https://engganolang.github.io/digitised-holle-list/. https://ora.ox.ac.uk/objects/uuid:a511951b-86fb-4019-94d4-280efa83de02

Rajeg, Gede Primahadi Wijaya. 2023b. CLDF dataset of the Enggano word list from 1895 in Stokhof and Almanar's (1987) Holle List [Data set]. https://github.com/engganolang/holle-list-enggano-1895 https://doi.org/10.25446/oxford.23515788

Stokhof, W. A. L., ed. 1980. Holle Lists, Vocabularies in Languages of Indonesia, Vol. 1: Introductory Volume. Vol. Materials in Languages of Indonesia. Canberra, A.C.T., Australia: Dept. of Linguistics, Research School of Pacific Studies, The Australian National University. https://core.ac.uk/reader/159464813.

Stokhof, W. A. L., and Alma E. Almanar. 1987. Holle Lists, Vocabularies in Languages of Indonesia, Vol. 10/3: Islands Off the West Coast of Sumatra. Vol. Materials in Languages of Indonesia. Pacific Linguistics (Series d) 76. Canberra, A.C.T., Australia: Dept. of Linguistics, Research School of Pacific Studies, The Australian National University. http://hdl.handle.net/1885/144589.

This dataset provides information on short suspensions, long suspensions and expulsions in NSW government schools.

Data Notes:

• The new suspension policy, Student Behaviour Policy, was implemented at the beginning of Term 4 2022, resulting in a change from suspension types and reasons to suspension grounds and descriptors. Consequently, the 2022 full year fact sheet can only provide data on suspensions in Terms 1 to 3 in 2022.

• From 2021, the Department will publish both semester 1 and full year factsheets. In previous years, only a full year factsheet was produced. Please note that semester 1 and full year data is not comparable, as students suspended in both semesters are only counted once in the full year publication.

• Data in 2020 and 2021 is not comparable to previous years due to the impact of Covid 19.

• ABS Statistical Area 4 (SA4) boundaries in NSW are combined into 11 groups for reporting of suspensions data from 2019. From 2013 to 2018, data was published by Family and Community Services districts.

• To protect individual students’ identities, values under 5 are represented as <5 and n/a is used in the “total” column.

• Refer to the individual publications for further information and policy context.

• The definition for students who were suspended and identified as receiving adjustments due to disability has been broadened from 2021 onwards. This means suspensions issued to students identified as receiving an adjustment due to disability are included if they are eligible for inclusion in the NCCD, including: a) students who are not reported to the Australian Government, and b) students who were identified as receiving adjustments due to disability at one school but were suspended at a different school. Fact sheets published prior to 2021 used the tightened definition of students who were suspended and identified as receiving adjustments due to disability, and therefore, figures in the fact sheets from 2021 onwards are not comparable with factsheets published prior to 2021.

Data Source:

• Learning and Wellbeing, NSW Department of Education.