Analysing N-of-1 observational data in health psychology and behavioural medicine: a 10-step SPSS tutorial for beginners

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McDonald, Suzanne
Vieira, Rute
Johnston, Derek W
Griffith University Author(s)
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2020
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Abstract

Background: N-of-1 observational studies can be used to describe natural intra-individual changes in health-related behaviours or symptoms over time, to test behavioural theories and to develop highly personalised health interventions. To date, N-of-1 observational methods have been under-used in health psychology and behavioural medicine. One reason for this may be the perceived complexity of statistical analysis of N-of-1 data. Objective: This tutorial paper describes a 10-step procedure for the analysis of N-of-1 observational data using dynamic regression modelling in SPSS for researchers, students and clinicians who are new to this area. The 10-step procedure is illustrated using real data from an N-of-1 observational study exploring the relationship between pain and physical activity. Conclusion: The availability of a user-friendly and robust statistical technique for the analysis of N-of-1 data using SPSS may foster increased awareness, knowledge and skills and establish N-of-1 designs as a useful methodological tool in health psychology and behavioural medicine.

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Health Psychology and Behavioral Medicine

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8

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1

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© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Pharmacology and pharmaceutical sciences

Psychology

Social Sciences

Psychology, Clinical

Psychology

N-of-1

single-case study

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McDonald, S; Vieira, R; Johnston, DW, Analysing N-of-1 observational data in health psychology and behavioural medicine: a 10-step SPSS tutorial for beginners, Health Psychology and Behavioral Medicine, 2020, 8 (1), pp. 32-54

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