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February 25, 2026KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie0 citationsOpen Access

Designing Causal Diagrams for Theoretical Reasoning and Measurement in Life-Course Research

Designing Causal Diagrams for Theoretical Reasoning and Measurement. Visualisations from Life-Course Research

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SHSteffen Hillmert

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Overview

Demonstrates how enhanced causal diagrams aid theory formation and hypothesis development in life-course research, suggesting new approaches.

Key Points

  • The aim is to show how causal diagrams can enhance theory formulation and hypothesis generation in research.
  • Applied directed acyclic graphs (DAGs) to visualize causal relationships
  • Highlighted graphical properties that support theory development
  • Provided examples from life-course research
  • Created adapted visualizations for better integration of diagrams
  • Confirmed the usefulness of DAGs for control variable selection
  • Illustrated that enhanced graphical diagrams support theory development
  • Demonstrated practical approaches for applying these diagrams in life-course data analysis

Cite This Study

Steffen Hillmert (2026) studied this question.

synapsesocial.com/papers/699e91d7f5123be5ed04f9b3https://doi.org/10.1007/s11577-026-01052-1
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