Learn to Use the Multilevel Model Test in R With Data From the Longitudinal Educational Outcomes Dataset (2017–18)

Dataset

Learn to Use the Multilevel Model Test in R With Data From the Longitudinal Educational Outcomes Dataset (2017–18)

By: Simon Massey Published: 2019 | Product: SAGE Research Methods Datasets Part 2

DOI: https://dx.doi.org/10.4135/9781526498861

This dataset is designed for learning how to conduct the Multilevel Model test. The dataset is a subset of data derived from the Department for Education’s dataset Longitudinal Educational Outcomes (Open Access Dataset) 2017, and the example tests whether graduates’ median annual earnings are effected by sociodemographic factors, and second, whether those effects vary between universities. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R.

Methods: Dependent variables, Multilevel analysis, Longitudinal research

Data Type: Numeric

Software Guide: R

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You can preview and download the dataset from this tab. The dataset is available in multiple file formats, compatible with most common software packages. You can also view and download the Codebook, which provides information on the structure, contents, and layout of the dataset.

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In this tab you will find guides on using this dataset. The Teaching Guide is designed for Faculty who are teaching research methods and statistics, with suggestions on how to use the dataset in lab exercises, in homework assignments, and as exam questions. The Student Guide introduces the method for students and can be used in teaching to provide students with an introductory overview of the method or test. The How-to Guide shows how to perform the technique or test using data analysis software.

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About This Dataset

Data source citation

Department for Education. (2017). SFR18/2017. GOV.UK. Retrieved from https://www.gov.uk/government/statistics/graduate-outcomes-for-all-subjects-by-university

Full title of originating dataset

Longitudinal Educational Outcomes (LEO) Data

Data author(s) and affiliations

Department for Education

Department for work and Pensions

Her Majesty’s Revenue and Customs

Dataset source website address

https://www.gov.uk/government/statistics/graduate-outcomes-for-all-subjects-by-university

First publication date

13 June 2017

Data Universe

United Kingdom

Information regarding average earnings of individuals based on gender and years after graduation form higher education providers within the United Kingdom

Funding sources/suppliers

Department for Education

Sample/sampling procedures

Purposive Sampling

Time frame of analysis

2008–2013

Unit of analysis

Groupings of graduates from higher education providers.

Location covered by data

United Kingdom

Other sources

Field, A. (2014). Discovering statistics using IBM SPSS statistics. London, UK: SAGE.
Fidell, B. G., & Tabachnick, L. S. (2007). Using multivariate statistics (5th ed.) Boston, MA: Pearson.

List of variables

Gender

Gender of the graduates

Years After Graduation

Number of years after graduating in groups of 1 year, 3 years, or 5 years

Proportion of entering students from POLAR3 Quintile 1

Percentage of students entering university from most disadvantaged backgrounds according to POLAR3 measure

Median Annual Earnings

Median annual earnings for groupings of students from each university

Group Mean Centred Variable for Proportion of entering students from POLAR3 Quintile 1

Group Mean Centred Variable for Multilevel Model test for Percentage of students entering university from most disadvantaged backgrounds according to POLAR3 measure