Data Analysis

This is an introductory guide to the main types of data with a time element. The guide is a brief overview of key elements in need of consideration when using these types of data. It also covers data availability and some commonly used methods for studying change over time quantitatively. 

This guide explains the main reasons for using weights, how weights work and how to use weighting variables in statistical analysis. 

This guide aims to help researchers utilise extensive survey data available. In particular, this guide is designed to support those starting small research projects, especially students doing dissertations. 

The guide includes materials to read, worksheets for getting started and questions to think about and answer.

These quantitative methods e-books and accompanying quizzes are for direct use in teaching students or for self-study. They aim to build skills in quantitative methods and statistical software and use the Living Costs and Food Survey.

Using SPSS, lecturers and students can utilise both the practical and quiz elements of each e-book topic. Topics include examining variables, correlations, regression and multiple regression.

The e-books have been developed through a collaboration of the UK Data Service, National Centre for Research Methods (NCRM), and the Centre for Multi-Level Modelling at the University of Bristol and were created using the StatJR software based on original outputs from the project Using Statistical E-books to teach undergraduate students quantitative methods and statistical software funded by the British Academy.

This resource is a collection of short guides designed to make lesson planning more efficient for those teaching data analysis skills. Drawing on real classroom experiences, each guide includes suggested research questions, dataset and exercises:

• Gender differences in sexual attitudes (PDF) (using the National Survey of Sexual Attitudes and Lifestyles).
• Risk factors associated with increased levels of systolic blood pressure (PDF) (using the Health Survey for England).
• The gender gap in life satisfaction (PDF) (using the Opinions and Lifestyle Survey).
• Public confidence in the police (PDF) (using the Crime Survey for England and Wales).

A collection of quantitative methods e-books and accompanying quizzes for direct use in teaching students or for self-study. E-books aim to build skills in quantitative methods and statistical software and use the Living Costs and Food Survey.

The e-books have been developed through a collaboration of the UK Data Service, National Centre for Research Methods (NCRM), and the Centre for Multi-Level Modelling at the University of Bristol and were created using the StatJR software based on original outputs from the project Using Statistical E-books to teach undergraduate students quantitative methods and statistical software funded by the British Academy.

This resource is designed for teachers to get students to think about data and numbers, teach them how to interpret, analyse and visualise data. This will be done by answering questions such as what proportion of the British public opposes capital punishment, how have attitudes about gender roles changed over the last 30 years and how have levels of crime changed in the last few decades. 

These introductory level interactive modules are designed for users who want to get to grips with key aspects of survey, longitudinal and aggregate data.

Modules can be conducted in your own time and you are able to dip in and out when needed. The modules give an introduction to key aspects of the data using short instructional videos, interactive quizzes and activities using open access software where possible.

Each module stands alone but those with little experience of surveys may find it useful to start with the Survey Data Module before moving on to the Longitudinal Data Module.

Modules include: Survey Data, Longitudinal Data, Aggregate Data

In this era of evidence-driven reform, school leaders must learn to harness an array of data to drive improvement. In this module, you will explore key concepts in performance measurement, research design, and data analysis (qualitative and quantitative) to understand what can be gleaned from different sources. With your cohort, you will discuss the data you have available and learn how to draw on multiple forms of evidence to make more informed policy and programmatic decisions.

This source includes interactive modules designed for users who want to get to grips with key aspects of survey, longitudinal and aggregate data as well as tools that can be used to assess and improve data quality. 

Modules can be conducted in your own time and you are able to dip in and out when needed. The modules give an introduction to key aspects of the data using short instructional videos, interactive quizzes and activities using open access software where possible. Tools include guides, documentation and exercises.