Analysing N-of-1 observational data in health psychology and behavioural medicine: A 10-step SPSS tutorial for beginners
Open accessAbstract
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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A clear consensus to address missing data in SCEDs does not yet exist nor does it feature under the SCRIBE reporting guidelines or risk of bias tools for SCEDs.
“Moreover, a clear consensus to address missing data in SCEDs does not yet exist nor does it feature under the SCRIBE reporting guidelines or risk of bias tools for SCEDs [83,84,85,86].”
From Brief and Telehealth Acceptance and Commitment Therapy (ACT) Interventions for Stress in Inflammatory Bowel Disease (IBD): A Series of Single Case Experimental Design (SCED) Studies (2022) · cites this paper as [85]
Step 2, “identify and impute missing data” (page not provided), explicitly says there is no consensus on addressing missingness in N-of-1 studies. The paper cites the SCRIBE guideline and a risk-of-bias scale in its References, but our copy does not say whether missing-data guidance features in either one. That part of the claim is not supported by this source. (LLM, conf=0.86)
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- Authors
- McDonald, S., Vieira, R., & Johnston, D. W.
- Affiliations
- The University of Queensland (AU)
- University of Aberdeen (GB)
- Corresponding author
- McDonald, Suzanne
- Venue
- Health Psychology and Behavioral Medicine
- Publisher
- Informa UK Limited
- Published
- 2020-01-01
- Volume
- 8
- Issue
- 1
- Pages
- 32-54
- ISSN
- 2164-2850 (ISSN-L)
- PMC
- PMC8114402
- OpenAlex
- W3002069580
- Cited by
- 43
- References
- 46
- Citations by year
- 2026: 2 · 2025: 11 · 2024: 5 · 2023: 8 · 2022: 6 · 2021: 8 · 2020: 3
- FWCI
- 6.05
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Health Psychology and Behavioral Medicine (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Griffith Research Online (submittedVersion, cc-by-nc)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Funders
- Menzies Centre for Australian Studies, King’s College London, University of London
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- N-of-1 design, within-person variability, pain, physical activity, health behavior change
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