Education 351A  Spring 2011
    Design and Analysis of Longitudinal Research

Registrar's information
EDUC 351A: Design and Analysis of Longitudinal Research
Seminar
Units: 1-2
Room: 160-325  Wallenberg Hall, Main Quad 
Schedule: Monday 3:15-5:05pm
Grading Basis: S/NC

Course Description:
The analysis of longitudinal data is central to empirical research on
learning and development. Topics: measurement of change, growth models,
reciprocal effects, stability, analysis of durations including survival
analysis, and experimental and non-experimental group comparisons. 
Prerequisite: intermediate statistical methods. 

 Intro via "Myths about longitudinal research"
1. Two observations a longitudinal study make.
2. The difference score is intrinsically unreliable and unfair.
3. You can determine from the correlation matrix for the longitudinal
data whether or not you are measuring the same thing over time.
4. The correlation between change and initial status is
(a) negative
(b) zero
(c) positive
(d) all of the above
5. You can't avoid regression toward the mean.
6. Residual change cures what ails the difference score.
7. Analyses of covariance matrices inform about change.
8. Stability coefficients estimate
(a) the consistency over time of an individual
(b) the consistency over time of an average individual
(c) the consistency over time of individual differences
(d) none of the above
(e) some of the above
9. Casual analyses support causal inferences about reciprocal effects.