Statistical and Correlational Techniques

Gorard, S.

Statistical and Correlational Techniques

Gorard, S.

Authors

Professor Stephen Gorard s.a.c.gorard@durham.ac.uk
Professor

Contributors

R. Coe
Editor

J. Arthur
Editor

L. Hedges
Editor

M. Waring
Editor

Abstract

This chapter presents a simple introduction to some of the uses of numbers in education research, illustrating a few of the many and varied research questions that can be addressed with numeric evidence. It is important to realise that using numbers involves no kind of paradigmatic or epistemological assumptions – the supposed ‘paradigms’ of quantitative and qualitative research are just red herrings. The chapter outlines some common sources of data and methods of analysis, before a relatively simple real-life example is presented. The bulk of the analysis was completed in less than two months and quickly led to several articles in high-prestige journals. Shorn of the schismic and other barriers that some commentators write about, apparently instead of doing research itself, doing research is really rather easy. And this is true even of work involving large-scale numeric datasets. The chapter ends by suggesting a few further examples of similar simple techniques.

Citation

Gorard, S. (2017). Statistical and Correlational Techniques. In R. Coe, J. Arthur, L. Hedges, & M. Waring (Eds.), Research methods and methodologies in education (119-124). (2nd ed.). SAGE Publications

Acceptance Date	Jul 12, 2016
Online Publication Date	Mar 1, 2017
Publication Date	Mar 1, 2017
Deposit Date	Jul 14, 2016
Publicly Available Date	Mar 1, 2019
Publisher	SAGE Publications
Pages	119-124
Edition	2nd ed.
Book Title	Research methods and methodologies in education.
Publisher URL	https://uk.sagepub.com/en-gb/eur/research-methods-and-methodologies-in-education/book244966