Measurement Burst Designs to Improve Precision in Peer Research

Ryan J. Persram (McGill University, Montreal),Bianca Panarello (Concordia University, Montreal),Melisa Castellanos (Concordia University, Montreal),Lisa Astrologo (Concordia University, Montreal),William M. Bukowski (Concordia University, Montreal)

Measurement Burst Designs to Improve Precision in Peer Research
Format
Paperback
Publisher
Cambridge University Press
Country
United Kingdom
Published
14 October 2021
Pages
75
ISBN
9781108986526

Measurement Burst Designs to Improve Precision in Peer Research

Ryan J. Persram (McGill University, Montreal),Bianca Panarello (Concordia University, Montreal),Melisa Castellanos (Concordia University, Montreal),Lisa Astrologo (Concordia University, Montreal),William M. Bukowski (Concordia University, Montreal)

Measurement burst designs, in which assessments of a set of constructs are made at two or more times in quick succession (e.g., within days), can be used as a novel method to improve the stability of basic measures typically used in longitudinal peer research. In this Element, we hypothesized that the stabilities for adolescent-reported peer acceptance, anxiety, and self-concept would be stronger when using the measurement burst approach versus the single time observation. Participants included youth between 10 and 13 years old who completed (a) sociometric assessments of acceptance, and measures of (b) social and test anxiety, and © self-concept across three times with two assessments made at each burst. Findings broadly showed that the stabilities were significantly stronger with the measurement burst when compared to the single time assessment, supporting our main hypothesis. We discuss the utility of the measurement burst in a broader context and considerations for researchers.

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