Method evidence record

Longitudinal Confirmatory Research

Longitudinal confirmatory research combines the temporal depth of longitudinal design with the hypothesis-driven logic of confirmatory analysis. The researcher specifies a priori hypotheses or structural models about how variables change or remain stable over time, then tests those predictions against data collected at two or more time points. It is the design of choice when theory is mature enough to make specific predictions about developmental, causal, or stability processes.

Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.

Source record

Recorded

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Longitudinal Confirmatory Research Design

Taxonomic method recordprocess-pipelineresearch-design

  1. Singer, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press. · ISBN 978-0195152968

  2. Little, T. D. (2013). Longitudinal Structural Equation Modeling. Guilford Press. · ISBN 978-1462510160

Open full method2 recorded citations, copied from the method source record.

Curated claims

Assessed

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

This view does not invent a claim assessment when the ledger has none.

Related methods

Suggested5

Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.