Quantitative research design

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Abstract

Quantitative research uses large samples and, as such, the findings of well-conducted studies can often be generalised to larger populations. However, it is important that studies are well-designed to avoid errors in their interpretation and/or the reporting of inaccurate results. Misleading results from quantitative studies can have serious negative implications such as wasting public money on flawed policies and subjecting service users to ineffective or harmful treatments. This chapter explores descriptive and experimental quantitative research designs and examines, through case examples, the difference between cross-sectional, longitudinal and cohort studies. Factors leading to poorly and well-constructed studies are explored, along with a discussion of the key features of well-designed randomised controlled trials, the gold-standard design for testing treatment effectiveness.
Original languageEnglish
Title of host publicationA research handbook for patient and public involvement researchers
EditorsPenny Bee, Helen Brooks, Patrick Callaghan, Karina Lovell, Kelly Rushton
Place of PublicationManchester
PublisherManchester University Press
Chapter3
Pages40-50
Number of pages11
ISBN (Electronic)9781526136527
ISBN (Print)9781526136534
DOIs
Publication statusPublished - 29 Aug 2018

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