A Quick Guide to Quantitative Research in the Social Sciences

Description

This resource is intended as an easy-to-use guide for anyone who needs some quick and simple advice on quantitative aspects of research in social sciences, covering subjects such as education, sociology, business, nursing. I

Benefit of this resource and how to make the best use of it

As stated by the author: “If you are a qualitative researcher who needs to venture into the world of numbers, or a student instructed to undertake a quantitative research project despite a hatred for maths, then this booklet should be a real help”.

Related OER

The concept of open scholarship has radically altered the way in which academic research operates in Europe, providing as it does both opportunities and challenges for researchers. In addition, funders are increasingly demanding that researchers, must, as a pre-requisite to securing grant funding, have undertaken training in research ethics. Finally, there are increasing pressures on researchers to be aware of and comply with obligations under intellectual property and data protection law, and to ensure the proper management of their research data. This course seeks to provide researchers and research support staff with the tools necessary to navigate these issues.

This workbook takes the student on a conceptual journey aiding their understanding of what is meant by the quantitative-qualitative research process in contemporary legal empirical research. Although, of interest to social science students, the particular worked examples relate to how to do research on law, legal policy and review.

This is a short introduction to ChatGPT for people teaching in higher education, created in January 2023 and updated until this version was saved in February 2023. The resource is a slide deck which you are free to modify and update (since this is a fast-moving topic). No prior knowledge of AI or chatbots is necessary to use the slides.

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URL: https://open.umn.edu/opentextbooks/textbooks/a-quick-guide-to-quantitative-research-in-the-social-sciences