Chapters 6,7 Flashcards
experimentors
investigations where researcher manipulates an independent variable
nuance for experimements
groups of participants must be equal
correlational studies
an investigation that explores the effect of a subject variable on a dependent variable
how to make it experimental
randomly assign participants into groups, placebo control
between groups experiment
both groups are very similar and are treated equally
control group
exposed to the same conditions as the experimental group, except for the manipulation of the independent variable
experimental group
exposed to the specific treatment or manipulation of the independent variable being investigated
equivalent groups
control and experimental groups must be equal
selection bias
the confound arising when there are differences between the comparison groups in a study
matching
identifying alike participants then randomly assigning them to different groups
pretesting
identify similar characteristics prior to matching
ceiling effect
a measure yields scores near the top limit of measurement for one or all groups
floor effect
dependent variable measurements yields scores near the lower limit
within-subjects design
an investigation where every participant receives every level of the independent variable at least once
pretest-posttest
one group of participants is tested twice using the same measurement tool, once before and once after the independent variable is manipulated
repeated-measures design
involved multiple measurements per participant
longitudinal design
within-subjects design where participants are tested multiple times except it looks for changes over a long period of time
advantages of within-subjects design
often requires fewer participants, takes less time, subject variables remain constant across the experimental conditions, error variance is reduced
why fewer participants?
because participants perform in each of the experimental conditions
lower error variance
less error variance = more powerful test of the IV’s effect
type 1 error
occurs when you incorrectly reject a true null hypothesis
type 2 error
occurs when you fail to reject a false null hypothesis