Chap 11 Flashcards
A design in which each subject serves in more than one condition of the experiment.
Within subjects experiment
It is an experiment’s ability to detect the independent variable’s effect on the dependent variable.
Power
T/F
Statistical power is desirable when it allows us to detect practically significant differences between the experimental conditions.
True
T/F
In a within-subjects experiment, researchers measure subjects on the dependent variable before each treatment.
False. After each treatment
T/F
A within-subjects factorial design assigns subjects to all levels of two or more independent variables.
True
An experiment where there is at least one between-subjects and one within-subjects variable.
Mixed design
This is where performance declines on the DV due to tiredness, boredom, or irritation.
Fatigue effect
_________ may improve the subject’s performance across the conditions.
Practice Effects
It encompasses both positive and negative order effects.
Progressive Error
It is a method of controlling order effects by distributing progressive error across different treatment conditions.
Counterbalancing
This controls progressive error for each subject by presenting all treatment conditions more than once.
Subject-by-subject counter balancing
In this counterbalancing, we administer treatment twice in a mirror-image sequence, for example, ABBA.
Reverse counterbalancing
T/F
When progressive error is linear, it progressively changes across the experiment so that A and B have different
amount of progressive error.
False. they wull have similar amount of progressive error
T/F
Nonlinear progressive error can be graphed as a straight line
False. it can’t
These present each treatment once and control progressive error by distributing it across all subjects.
Across subjects counterbalancing
This type of counterbalancing uses all possible treatment sequences an equal number of times.
Complete counterbalancing
T/F
It is easier to counterbalance completely when there are three or more conditions.
False. it is easy for two conditions
This controls progressive error by using some subset of the available order nsequences.
Partial Counterbalancing
It is the simplest partial counterbalancing procedure.
Randomized partial counterbalancing
a matrix, or square of sequences is constructed that satisfies the treatment conditions in which each treatment appears only once in any order position in the sequences.
Latin square counterbalancing
It is any lingering effects of a prior
experimental condition that are affecting a current experimental condition.
Carryover effect
This controls both order and carryover.
Balanced Latin Square
