Bøker i Elements in Research Methods for Developmental Science-serien

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 (c) 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.

Parceling is pre-modeling strategy to create fewer and more reliable indicators of constructs for use with latent variable models. Parceling is particularly useful for developmental scientists because longitudinal models can become quite complex and even intractable when measurement models of items are fit. In this Element the authors provide a detailed account of the advantages of using parcels, their potential pitfalls, as well as the techniques for creating them for conducting latent variable structural equation modeling (SEM) in the context of the developmental sciences. They finish with a review of the recent use of parcels in developmental journals. Although they focus on developmental applications of parceling, parceling is also highly applicable to any discipline that uses latent variable SEM.