A betweengroups/independentmeasures design is when participants can only belong to one experimental group e.g age, gender
Withinsubjects/repeatedmeasures design is where the same participant takes part in all conditions e.g testing before and after an intervention
The tests used for a between-groups design are:
Independent t-test
Mann Whitney U test
The tests used for a within-groups design are:
Repeated measures t-test
Wilcoxon Signed Rank test
A Quasi-experimentaldesign is a study where participants are grouped according to an attribute that they possess e.g. gender.
A mixed factorial design is a study with at least two independent variables, where participants experience one level of at least one variable and all levels of at least one variable.
A cross sectional design is a study exploring a relationship where all of the data are collected at a single point in time.
A simple design is a study with a single independent variable
A dependent variable is measured by the experimenter and compared across different conditions or cells of the experiment
A cross-lagged longitudinal design is a study exploring a relationship where all of the variables are measured at the same time across different time points.
A cell is a conditions where participants experience a specific combination of two or more independent variables.
A longitudinal-correlational design is a study exploring a relationship where some variables are measured at one time point, and other variables are measured at another time point.
An independent variable is manipulated by the experimenter in order to create a set of experimental conditions that vary systematically
Levels of an IV are the different experimental conditions that are created by manipulating an independent variable