Text web page Text data examples at UCLA IDRE Powerpoint presentations good gentle intro to modelling collections of growth curves (and survival analysis) is Willett and Singer (1998)ģ. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence New York: Oxford University Press, March, 2003. Ware Applied Longitudinal Analysis (Wiley Series in Probability and Statistics 2nd ed 2011) Text Website second edition website Text lecture slidesĢ. Assorted Special Topics: Assessments of Stability (including Tracking), Reciprocal Effects, (mis)Applications of Structural Equation Models, Longitudinal Network Analysisġ. Further topics in analysis of durations: Diagnostics and model modification Interval censoring, Time-dependence, Recurrent Events, Frailty Models, Behavioral Observations and Series of Events (renewal processes)ĭead Week. Analysis of Durations: Introduction to Survival Analysis and Event History Analysis Comparing group growth continued: Power calculations, Cohort Designs, Cross-over Designs, Methods for missing data, Observational studies. Assessing Group Growth and Comparing Treatments: Traditional Repeated Measures Analysis of Variance and Linear Mixed-effects Models Special case of time-1, time-2 data Traditional measurement of change for individuals and group comparisons Analysis of Collections of growth curves: linear, generalized linear and non-linear mixed-effects models Introduction to Data Analysis Methods for assessing Individual Change for Collections of Growth Curves (mixed-effects models) Course Overview, Longitudinal Research Analyses of Individual Histories and Growth Trajectories Terms: Aut | Units: 2 | Grading: Letter or Credit/No Credit Prerequisite: intermediate statistical methods Topics include: measurement of change, growth curve models, analysis of durations including survival analysis,Įxperimental and non-experimental group comparisons, reciprocal effects, stability. The analysis of longitudinal panel data is central to empirical research on learning, development, aging, and the effects of interventions. Research designs and statistical procedures for time-ordered (repeated-measures) data. STATS 222: Statistical Methods for Longitudinal Research (EDUC 351A) Grading Basis: Letter or Credit/No Credit
STATS 222 (Same as EDUC 351A): Statistical Methods for Longitudinal Research Units: 2 To see full course materials from Autumn 2018 go hereĬourse Welcome and Logistics (first day stuff, to be posted in August, call it Week0) Lecture slides, week 0(pdf)įor recreation of in-classroom experience, linked below are youtube versions of the music I play before starting lecture and after lecture concludes. Autumn 2020 Remote Asynchronous Instruction
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