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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

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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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Longitudinal Studies01:26

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Cross-Sectional Research01:50

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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
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Introduction To Survival Analysis01:18

Introduction To Survival Analysis

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Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
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Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
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Updated: Oct 14, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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Connecting Theory to Methods in Longitudinal Research.

Christopher J Hopwood1, Wiebke Bleidorn1, Aidan G C Wright2

  • 1Department of Psychology, University of Zurich.

Perspectives on Psychological Science : a Journal of the Association for Psychological Science
|November 5, 2021
PubMed
Summary

Longitudinal research requires aligning assessment timing with psychological theories, not just practical needs. This improves model accuracy and research conclusions in psychological studies.

Keywords:
analysislongitudinalmethodsprocessesquantitativetemporaltime

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Area of Science:

  • Psychology
  • Quantitative Psychology
  • Research Methodology

Background:

  • Longitudinal data collection and analysis methods have advanced significantly.
  • Research on psychological processes using longitudinal data is increasing.
  • Assessment timing in longitudinal studies is often based on methodological or practical factors rather than psychological theory.

Purpose of the Study:

  • To highlight the disconnect between psychological theory and assessment timing in longitudinal research.
  • To argue for stronger connections between theory and methods in longitudinal study design.
  • To offer solutions for improving the alignment of assessment timing with theoretical models.

Main Methods:

  • Review of instances where assessment timing disconnects from theory.
  • Discussion of potential solutions for four key longitudinal research questions.
  • Focus on scaling time, number of assessments, assessment frequency, and timing of assessments.

Main Results:

  • The disconnect between theory and assessment timing leads to misspecified models, interpretive errors, and mixed findings.
  • Methodological and practical considerations often override theoretical justifications for assessment timing.
  • Lack of explicit justification for methodological decisions is common.

Conclusions:

  • Researchers must place higher demands on connecting psychological theories to the methods used in longitudinal research.
  • Addressing the disconnect in assessment timing is crucial for advancing psychological science.
  • Improved alignment will lead to more accurate models and meaningful conclusions in longitudinal psychological research.