HLTH 200 Lecture Notes - Lecture 3: Repeated Measures Design, Time Series, Dependent And Independent Variables
Document Summary
The importance of time in observational research study. A study that takes place at a single point in time. Ex: people measured in 1999, different people measured in 2000, different people measured in 2009; this is a series of cross-sectional studies. A study that takes place over time; measurement occurs on at least two separate occasions. Types: x = assessment or measurement point, repeated measures: x x x, time series: xxxxxxxxxx. Depending on your research question, you can design how many assessments are needed and when to do them. Causal rq"s: longitudinal studies (repeated measures or time series, experimental research designs (we"ll learn about these later) Any observation that can take different values: ex: hair color, ex: gender. A specific value on a variable: ex: blonde, brown, black, red, other , ex: male, female, transgender. Is affected by other variable(s), or is dependent upon something. No relationship: two variables have no association.
