research methods final Flashcards
History
events occurring between measurements in an experiment
maturation
changes due to participants growing older
testing
problems from repeated measurement of the same person
instrumentation
changes due to measuring device
statistical regression
extreme scores naturally change
selection
one group differs initially from another group
mortality
drop out or refuse to take part in an experiment
selection-maturation
one group changes faster than another group
diffusion/imitation
communication between participants may reduce differences between groups
type 1 error
false positive
type 2 error
false negative
inferential statistics
used to infer population parameters from a given sample of scores
standard deviation
dispersion of data set
central limit theorem
if # of samples are drawn from a population, then the means of the samples tend to be normally distributed
standard error of mean
how different the population mean is compared to the sample mean
independent samples t test
compares means for 2 separate groups (between subjects)
paired samples t test
compares matched groups over time (within subjects)
regression
how much variability in the dependent variable can be accounted for by the independent variable
ANOVA
computes variation between more than 2 groups
Simple anova
one independent variable
factoral anova
multiple independent variables
repeated measures anova
participants measure more than 2 times
within groups variance
chance of error
between groups variance
systematic influences