W7: Longitudinal designs (structural equation modelling) Flashcards
Possible MCQ Question:
What is one statistical advanced method that we can use to test things longitudinally?
Structural equation modelling
Longitudinal designs are … (2)
Used to study changes across the life span by observing same participants at different points in time
It assess same variables at each timepoint
The length of the longitudinal design study can vary
Based on design or funds (longitudinal designs are expensive)
Longitudinal designs are often
survey-based (e.g., Likert scale questions)
Longitudinal designs prone to
many threats of internal validity (e.g., maturation)
Longitudinal designs require
Substantial resources and time to complete
Longitudinal design (issues)
What is time lag?
Distance between timepoints
Longitudinal design (issues)
Too much time lage can
causes issues
Longitudinal design (issues)
Issue with time lag - frequency
How frequent should we measure?
Longitudinal designs (issues) - Attrition (3)
- Participants dropout over time
- Loss of interest
- Losing contact with researcher (e.g pps changing phone number, home address)
Longitudinal design (issues) - Attrition - how do we address this?
Money for the participants to engage in the study/Amazon vouchers
Longitudinal designs (issues) - threats to the internal validity of long study due to - (3)
- Maturation effects (naturally occurring process)
- Historical effects (events that are outside of our control) - e.g., COVID-19
- Practice effect (improvement on test due to repeated experience)
How do we test longitudinal studies? (repeated-measure design)
Repeated measures t-test and ANOVA
More complex longitudinal design requires more robust statistics (than repeated measure t-test and ANOVA)
such as… (3)
- Mediator/mechanism (3rd var)
- Understand complex pathways to poor health
- Enter… Structural equation modelling!
Structural equation modelling - Most longitudinal studies utilise survey designs (7)
Scales which include several items
Rated using Likert scales
- 1 (Strongly disagree)
- 2 (Disagree)
- 3 (Neither agree or disagree)
- 4 (Agree)
- 5 (Strongly agree)