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

McDonald, Suzanne ORCID: https://orcid.org/0000-0002-1745-4987 and Vieira, Rute and Johnston, Derek W. (2020) Analysing N-of-1 observational data in health psychology and behavioural medicine: a 10-step SPSS tutorial for beginners. Health Psychology & Behavioral Medicine, 8 (1). pp. 32-54.

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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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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2020 The Authors
Faculty/School / Institute/Centre: Historic - Institute for Resilient Regions - Centre for Health, Informatics and Economic Research (1 Aug 2018 - 31 Mar 2020)
Faculty/School / Institute/Centre: Current - Institute for Resilient Regions
Date Deposited: 16 Jun 2020 00:17
Last Modified: 22 Jul 2020 03:38
Uncontrolled Keywords: N-of-1; single-case study; observational; statistical analysis; dynamic regression modelling
Fields of Research (2008): 17 Psychology and Cognitive Sciences > 1701 Psychology > 170106 Health, Clinical and Counselling Psychology
Fields of Research (2020): 52 PSYCHOLOGY > 5203 Clinical and health psychology > 520399 Clinical and health psychology not elsewhere classified
Identification Number or DOI: https://doi.org/10.1080/21642850.2019.1711096
URI: http://eprints.usq.edu.au/id/eprint/37826

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