Longitudinal Study
A research design where data for the same variables are repeatedly collected for the same subjects over a period of time. This approach allows for the observation of change, development, and causal relationships more effectively than cross-sectional studys, though it is susceptible to attrition bias and requires significant resource investment.
Key Characteristics
- Temporal Dimension: Captures changes over time, distinguishing between age, period, and cohort effects.
- Repeated Measures: Multiple data collection points (waves) enable the tracking of individual trajectories.
- Causal Inference: Strengthens causal claims by establishing temporal precedence of independent variables relative to dependent variables.
Recent Applications & Case Studies
- Organizational Psychology & Crisis Management: Recent research utilizes this design to examine the impact of leadership styles on employee mental health during volatile periods.
- Specifically, How Inclusive Leadership Paves Way for Psychological Well-Being of Employees During Trauma and Crisis: A Three-Wave Longitudinal Study demonstrates a three-wave structure to analyze how inclusive leadership mediates employee well-being during crisis events.
See Also
- Panel Study
- Cohort Study
- Attrition Bias
- Cross-lagged Panel Model