Chapter 7: Experiment Design I
Single Factor Designs: factor refers to IV. one independent variable designs. The simples single
factor design is one with 1 IV and 2 levels.
Analyzing data: represent descriptive statistics. However, perform inferential statistics. How
confident can you be of your results? Are they due to chance or are they real? The solution to
this is inferential statistics.
t-test for independent groups: is used for independent group designs and ex-post facto group
designs (non-equivalent group designs)
t-test for related/dependant groups: is used for matched group designs or repeated measures
Independent Groups Design is a between-subjects design that uses a manipulated IV and has
at least two groups of participants. Subjects are randomly assigned to the groups.
Matched Groups Design is a between-subjects design that uses a manipulated IV and has at
least two groups of participants. Subjects are matched on some variable assumed to affect the
outcome before being randomly assigned to the groups.
Non-equivalent Groups Design is a between-subjects design with at least two groups of
participants that uses a subject variable or that creates groups that are non-equivalent.
Repeated Measures Design is another name for a within-subject design. Participants are tested
in each of the conditions in the experiment.
Between Subject Multi-level Designs: (more than 2 levels of the IV)
Allows you to detect non-linear effects.
Present your results in sentence from (only for basic studies). If you have a table, do not
duplicate with graph. Have a graph such as a bar, histogram or line graph. The IV is always on
the x- axis. The DV is always on the y-axis. If you have more than one IV, use a different colour.
One graph usually deals with o