Introduction to statistics in research
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Other Title
Authors
Deo, Arun
Henwood, Suzanne
Henwood, Suzanne
Author ORCID Profiles (clickable)
Degree
Grantor
Date
2015
Supervisors
Type
Journal Article
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
research design
statistics in research
quantitative studies
NLP
survey design
statistics in research
quantitative studies
NLP
survey design
ANZSRC Field of Research Code (2020)
Citation
Deo, A., & Henwood, S. (2015). Introduction to Statistics in Research. RAPPORT: The Magazine for NLP Professionals, 44, pp.42-45.
Abstract
As a researcher (or consumer of research) you will frequently come across statistical testing of data. This article aims to give an introductory outline to statistical methods to enable you to (i) choose appropriate statistics for your own study and (ii) offer critical comment on statistics used in journal articles or research papers.
This background knowledge will give you the ability to comment on research design adequacy, which can lead to you being able to know whether you can trust and use results in practice, or guide you in critical questioning of the validity and reliability of results, leading you to search for further evidence before implementing new suggestions into your practice.
This article is then aimed at exploring the use of statistics in quantitative studies, generally from data collected either through (i) survey data collection or (ii) criteria measurements. Criteria measurements in NLP might for example include measurement of anxiety or depression, pre and post an NLP intervention (ideally using a pre validated measurement tool which has been shown to be valid and reliable – i.e. has been shown to be accurate and repeatable over time). Another example would be looking at spelling test scores following work with pupils on the NLP Spelling Technique.
Publisher
The Association for NLP
Permanent link
Link to ePress publication
DOI
Copyright holder
The Association for NLP
Copyright notice
All rights reserved