what is the effect of increasing the time between treatment conditions in a within-subjects experiment? a.
It decreases the threat of time-related history effect
.
The loss of participants that occurs during the course of a research study conducted over time.
Attrition
can be a threat to internal validity. Also known as participant mortality.
What is the effect of increasing the time between treatment conditions in a within-subjects experiment quizlet?
What is the effect of increasing the time between treatment conditions in a within-subjects experiment?
It decreases the threat of the order effect fatigue
.
Which of the following is a disadvantage of a within-subjects experiment?
According to the text, a disadvantage of a within-subjects design is that:
each subject must spend more time in your experiment and thus may become fatigued
. A serious problem with the within-subjects design is that: there is a potential for carryover effects.
Which of the following is one advantage of within-subjects designs over between subjects design?
Perhaps the most important advantage of within-subject designs is that they
make it less likely that a real difference that exists between your conditions will stay undetected or be covered by random noise
. Individual participants bring in to the test their own history, background knowledge, and context.
What is the purpose for using a control condition in an experiment?
Thus, including a control condition
allows researchers to compare the way things are in the presence of an independent variable with the way things would have been in the absence of an independent variable
.
What is the relationship between main effects and interactions quizlet?
What is the relationship between main effects and interactions?
The existence of an interaction is independent of the main effects.
Measuring a variable or set of variables as they exist naturally.
What is the biggest threat to internal validity?
History, maturation, selection, mortality and interaction of selection and the experimental variable
are all threats to the internal validity of this design.
Why is within subjects more powerful?
A within-subjects design is
more statistically powerful than a between-subjects design
, because individual variation is removed. To achieve the same level of power, a between-subjects design often requires double the number of participants (or more) that a within-subjects design does.
How can we prevent threats to internal validity?
Altering the experimental design can counter
several threats to internal validity in single-group studies. Adding a comparable control group counters all threats to single-group studies. If comparable control and treatment groups each face the same threats, the outcomes of the study won’t be affected by them.
What is the main disadvantage of a within-subjects design?
According to the text, a disadvantage of a within-subjects design is that:
each subject must spend more time in your experiment and thus may become fatigued
. A serious problem with the within-subjects design is that: there is a potential for carryover effects.
What is a between subjects experiment?
Between-subjects is
a type of experimental design in which the subjects of an experiment are assigned to different conditions
, with each subject experiencing only one of the experimental conditions. This is a common design used in psychology and other social science fields.
What is an order effect?
In educational research, an order effect occurs
when the order in which research subjects participate in experimental conditions affects the outcome variable being measured
. … That is, the order in which the participants received the experimental conditions may have affected the measurement outcome.
What is the major advantage of a within-subjects design?
The single most important advantage of a within-subjects design is that
you do not have to worry about individual differences confounding your results
because all treatment groups include the exact same partcipants.
What is a within-subjects factor?
Any categorical explanatory variable for which each subject experiences all of the levels
is called a within-subjects factor. (Or sometimes a subject may experience several, but not all levels.)
What are within-subjects?
A within-subject design is
a type of experimental design in which all participants are exposed to every treatment or condition
. The term “treatment” is used to describe the different levels of the independent variable, the variable that’s controlled by the experimenter.
