Research methods

The Sage Research Methods Online (SRMO) database can help you design, run and write up your research project. The database focuses on methodology that can be used across multiple disciplines.

SRMO provides access to:

  • Full text content from over 720 books, dictionaries, encyclopedias, and handbooks
  • The Little Green Book (qualitative research methods) series
  • The Little Blue Book (quantitative applications in the social sciences) series
  • A selection of journal articles and specially commissioned videos.

Researchers can:

  • Explore their chosen research method, expanding or refining their search as needed
  • Read online, print, or email full text content
  • Use suggested related methods and links to related authors
  • Browse or search the collection or use the methods map to explore a broad overview of research methodologies.

Sage Research Methods Online - datasets

The Sage Research Methods Online - Datasets is a collection of teaching datasets for teaching statistical and analytical techniques used in the social sciences. These are datasets taken from real research projects, but edited and "cleaned" for teaching purposes. They include:

  • Quantitative datasets drawn from large surveys, experiments, or government data sources, and simplified to make them easier to use.
  • Qualitative datasets such as interview transcripts, field study notes, and visual aids.

Each dataset comes with an explanation of the analytical approach, an example to demonstrate the method, and a review to reinforce the material. You can practice analyses yourself by downloading step-by-step guides and data files.

You can browse collection of datasets by:

  • Method, such as ANOVA, chi-square test, or thematic analysis
  • Discipline, such as education, business, or political science
  • Data type, such as survey data, case notes, or interview transcripts.

How to use the website

Further information

The CSU Quantitative Consulting Unit (QCU) assists in providing mathematical, statistical and information technology support for research groups, academic staff and postgraduate students across the University.

The CSU Spatial Data Analysis Network (SPAN) is a research support unit within the Research Office that provides support to academic staff and post graduate students of the university in the areas of:

  • Geographic Information Systems
  • remote sensing
  • spatial statistics
  • questionnaire design and survey implementation