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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
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During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the...
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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Using large, publicly available data sets to study adolescent development: opportunities and challenges.

Rogier A Kievit1, Ethan M McCormick1, Delia Fuhrmann2

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This summary is machine-generated.

Large, longitudinal datasets transform adolescent research by enabling the study of cognitive, mental wellbeing, and environmental biological factors. Best practices are recommended for rigorous and transparent analysis of this secondary data.

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Area of Science:

  • Developmental Psychology
  • Adolescent Health Research
  • Data Science in Social Sciences

Background:

  • Adolescence is a critical developmental period where cognitive, mental wellbeing, environmental, and biological factors interact.
  • Understanding these complex interactions is crucial for lifelong outcomes.
  • Secondary data sets offer unprecedented opportunities to study these processes longitudinally.

Purpose of the Study:

  • To outline the opportunities and challenges of using large, longitudinal secondary data sets in adolescent research.
  • To provide an overview of valuable secondary data resources for studying adolescence.
  • To recommend best practices for rigorous and transparent analysis of these data.

Main Methods:

  • Review and synthesis of existing literature on secondary data in adolescent research.
  • Identification and description of key longitudinal, phenotypically rich data sets.
  • Formulation of recommendations for data analysis and reporting.

Main Results:

  • Secondary data sets enable large-scale, longitudinal examination of adolescent development.
  • Significant opportunities exist for interdisciplinary research using these resources.
  • Challenges include data harmonization, privacy, and analytical complexity.

Conclusions:

  • Leveraging secondary data is revolutionizing adolescent research.
  • Adopting best practices is essential for maximizing the potential of these data.
  • Future research should focus on transparent and rigorous analysis of longitudinal adolescent data.