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Initial Scale Development: Sample Size for Pilot Studies
Abstract
Pilot studies are often recommended by scholars and consultants to address a variety of issues, including preliminary scale or instrument development. Specific concerns such as item difficulty, item discrimination, internal consistency, response rates, and parameter estimation in general are all relevant. Unfortunately, there is little discussion in the extant literature of how to determine appropriate sample sizes for these types of pilot studies. This article investigates the choice of sample size for pilot studies from a perspective particularly related to instrument development. Specific recommendations are made for researchers regarding how many participants they should use in a pilot study for initial scale development.
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“Johanson & Brooks (2010) did recommend a sample size of 12 participants per arm for pilot trials.”
From A Feasibility and Pilot Randomised Dismantling Trial of the Efficacy of Self-As-Context During Acceptance and Commitment Therapy. (2021) · cites this paper as Johanson & Brooks (2010)
In the citing paper
“As the current study was below the average (Billingham etal., 2013) and below the recommended (Johanson & Brooks, 2010) sample size”
From A Feasibility and Pilot Randomised Dismantling Trial of the Efficacy of Self-As-Context During Acceptance and Commitment Therapy. (2021) · cites this paper as Johanson & Brooks, 2010
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Metadata
- Authors
- Johanson, G. A., & Brooks, G. P.
- Affiliations
- Ohio University (US)
- Corresponding author
- Johanson, George A.
- Venue
- Educational and Psychological Measurement
- Publisher
- SAGE Publications
- Published
- 2009-12-18
- Volume
- 70
- Issue
- 3
- Pages
- 394-400
- ISSN
- 0013-1644 (ISSN-L)
- 1552-3888
- OpenAlex
- W1984294110
- Cited by
- 1,012
- References
- 19
- Citations by year
- 2026: 134 · 2025: 115 · 2024: 110 · 2023: 99 · 2022: 89 · 2021: 104 · 2020: 83 · 2019: 67 · 2018: 49 · 2017: 34 · 2016: 33 · 2015: 29 · 2014: 25 · 2013: 19 · 2012: 13
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Educational and Psychological Measurement (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Keywords
- pilot study, sample size determination, scale development, instrument development, item difficulty, item discrimination, internal consistency, response rate, parameter estimation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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