Abstract:

Developmental psychology is currently used to measure psychological phenomena and by some, to re-design communities. While we generally support these uses, we are concerned about quality control standards guiding the production of usable knowledge in the discipline. In order to address these issues precisely, we provide an overview of the discipline's various facets. We distinguish between developmental models and developmental metrics and relate each to different types of quality-control devices. In our view, models are either explanatory or descriptive, and their quality is evaluated in terms of specific types of disciplinary discourse. Metrics are either calibrated measures or soft measures, and their quality is evaluated in terms of specific psychometric parameters. Following a discussion on how developmentalists make metrics, and on a variety of metrics that have been made, we discuss the two key psychometric quality-control parameters, validity and reliability. This sets the stage for a limited and exploratory literature review concerning the quality of a set of existing metrics. We reveal a conspicuous lack of psychometric rigor on the part of some of the most popular developmental approaches and invite remedies for this situation.

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