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

Suzanne McDonald; Rute Vieira; Derek W. Johnston

doi:10.1080/21642850.2019.1711096

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

Suzanne McDonald^*, Rute Vieira, Derek W. Johnston

^*Corresponding author for this work

University of Queensland

Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

9 Downloads (Pure)

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.

Original language	English
Pages (from-to)	32-54
Number of pages	23
Journal	Health Psychology and Behavioral Medicine
Volume	8
Issue number	1
Early online date	22 Jan 2020
DOIs	https://doi.org/10.1080/21642850.2019.1711096
Publication status	Published - 2020

Bibliographical note

The SPSS dataset and syntax are available within the supplementary materials.

Keywords

N-of-1
single-case study
observational
statistical analysis
dynamic regression modelling

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Cite this

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

Abstract

Bibliographical note

Keywords

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