research final 3
the design of this experiment (PD & Emotion study), in terms of the number of independent variables and the number of levels of each variable is
2x3
suppose I knew that age was a potential cofound I wanted t control. which of the following statistical tests would I use to remove the effects of age, to control for the effects of age in the analysis?
ANCOVA
what is the F formula
F=systematic effects + error variance/ error variance ms within/ms between
Suppose I wanted to control for the effects if age and I had two independent measures to analyze using a single statistical test. which of he following statistical test would I use?
MANCOVA
suppose I have two dependent variables and I want to control for experiment wise error rate by analyzing scores from both tests using one statistical test, what test should I use?
MANOVA
the following diagram represents which type of experimental design
Solomon's four group design
for the study listed above (PD & EMOTION) I could have conducted two separate ANOVAs rather than one factorial ANOVA, however conducting a factorial ANOVA has some key advantages, including which of the following
all of the above
matched subject designs may be considered a marriage which two types of designs?
between subjects and within subjects
regarding the various methods to control for experiment wise error rate, the most conservative
bonferroni
which of the following indicates another strength of correlated groups designs:
both b and c
sequence effects that are caused by the influence of particular conditions on responses to subsequent conditions are called
carryover effects
? is the type of variance that researchers will always have due to sampling
error variance
several different nonexperimental approaches to research were discussed. In one approach the researcher observes current behaviors and the attempts to relate these behaviors to prior experiences. This is known as:
ex post facto studies
regarding different sources pf variance, the keys to experimentation and the general idea in research is to maximize ? variance, control ? variance, and minimize ? variance
experimental, extraneous, error
is the following statement true or false: correlated groups designs are actually more sensitive than between groups designs
false
go back 30
gsgsg
when interpreting a study with a significant interaction, we always begin our interaction with the:
interaction
? are at the heart of factorial designs
interactions
which of the following statistical test would I use to analyze this study (PD and emotion)
mixed factorial ANOVA
this same researcher now wanted to compare his new treatment to other treatments to other treatments that were in use OCD. Specifically, he wanted to compare his treatment to that of systematic desensitization, implosive therapy, and exposure and response prevention. to do so he randomly assigned participants to either a control groups or to one of the treatments. he also included a pretreatment and a posttreatment measure. this type of design is known as a
multilevel completely randomized between groups design
another type of variance, known as ?, results from random factors that affect some subjects in a groups more than others. this is also known as error variance
nonsystematic within groups variance
sequence effects that are caused by practice due to repeated measurements and which gaining experience and proficiency are called:
practice effects
a further nonexperimental approach utilizes a no treatment control groups in addition to the group that receives some manipulation. both are measured before and after the manipulation. this is known as:
pretest posttest natural control group
a researcher was interested in a new treatment for obsessive compulsive disorder (OCD). to investigate the effectiveness of this new treatment the researcher randomly assigned the subject to either a treatment or a control group, then provided the treatment, and finally measured the outcome. this type type of design is known as:
randomized posttest only group
the researcher decided to replicate his findings using a different experimental design. the only difference was that with the replicated study he included a pretreatment measure. this type of design is known as a:
randomized pretest posttest control group
the problem with the single group pretest posttest and the pretest posttest natural control group designs is that:
researchers are unsure of group equivalency at the beginning
another nonexperimental approach is when some independent variable is manipulated with a single group of participants, who are then measured n the variable. this is known as:
single groups posttest only
a final nonexperimental approach uses a single groups of participants who measured before and after the manipulation of some independent variable. this is known as:
single groups pretest posttest
different types of variance were also discussed. one type, known as ?, is the variance between the groups than results from the manipulation of the independent. variable. this type of variance is also known as experimental variance.
systematic between groups variance
one of these types of variance is planned. it is the type of variance that we have predicted and are specifically testing/ this type variance is:
systematic between groups variance
when discussing independent groups designs we often mentioned the absolute importance of random assignment to groups and that this is a big factor in why these designs are considered true experiments because
they ensure groups equivalency since all of the subjects are exposed
is the following statement true or false: with correlated groups designs the subjects actually serve as their own controls, thus, a separate control is not used
true
with matched subjects design we match the subjects in our study on some variable that we think may influence our findings but that are not of interest, i.e., potential confounds. the problem is that we have to identify which variables to match?
variables that are strongly related to performance on the DV