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Parsimonious
explains research with fewest assumptions
TERM 2
Commonsense explanations
DEFINITION 2
based on own sense of what is true in the world
TERM 3
Belief-based explanation
DEFINITION 3
accepted without evidence b/c comes from a trusted source
(eg religion) or fits within a larger framework of belief
TERM 4
Explanatory Relevance
DEFINITION 4
must offer good grounds for believing that the phenomenon
would occur under the specified conditions
TERM 5
Confirmational Strategy
DEFINITION 5
strategy of looking for confirmation of the theory's
predictions
Disconfirmational Strategy
determine whether outcomes not expected , according to the
theory, do or do not occur
TERM 7
Strong Inference
DEFINITION 7
develop several explanations, each have testable
predictionsRule out some alt in initial experiment. Then
design new experiment to rule out others. Continue.
TERM 8
Internal
validity
DEFINITION 8
ability of your research design to adequately test your
hypothesis
TERM 9
Between-subjects design
DEFINITION 9
diff groups of subjects are randomly assigned to the levels of
your IV data from subjects within a treatment are averaged
and analyzed
TERM 10
Within-subject design
DEFINITION 10
single group of subjects is exposed to ALL levels of your IV
data from subjects within a treatment are averaged and
analyzed
Nonparametric design
manipulate IV qualitatively
TERM 17
Multiple Control Group Design
DEFINITION 17
multigroup design that has multiple control groups one
control group is not enough to rule out alt explanations
TERM 18
Matched-group Design
DEFINITION 18
matched sets of subjects are randomly distributed, one per
group
TERM 19
Matched-pairs design
DEFINITION 19
two group matched group design
TERM 20
Matched-multigroup design
DEFINITION 20
matching strategy on multiple groups if more than 3- use
within subjects
Carryover Effects
occur when previous treatment alters the behavior observed
in later treatment
TERM 22
Single-factor two-level design
DEFINITION 22
two levels of an IV, all subjects receive both levels but half
receive in opposite order
TERM 23
Single-factor multilevel within-subjects design
DEFINITION 23
single group exposed to three or more levels on an IV
TERM 24
Factorial design
DEFINITION 24
two or more IV's in a single experiment
TERM 25
Main effect
DEFINITION 25
the seperate effect of each IV
Content
validity
questions cover the range of behaviors normally considered
to be part of the dimension you are assessing
TERM 32
Construct Validity
DEFINITION 32
questionnaires results agree with predictions based on
theory
TERM 33
Criterion-related
validity
DEFINITION 33
correlating the questionnaires results with those from
another established measure
TERM 34
Concurrent
validity
DEFINITION 34
correlating your questionnaires results with those of another
measure of the same dimension administered at the same
time
TERM 35
Predictive
validity
DEFINITION 35
correlating questionnaires results with some behavior
expected to occur
Stratified Sampling
divide population into two segments and select separate
random sample from each
TERM 37
Cluster sampling
DEFINITION 37
identify naturally occuring groups and randomly select
certain clusters
TERM 38
Multistage sampling
DEFINITION 38
identifying large clusters and randomly selecting from them
TERM 39
Dynamic Designs
DEFINITION 39
include a continuously varying independent variable
TERM 40
Baseline design
DEFINITION 40
focuses on the behavior of a single subject both within and
across the experimental treatments and does not rely on
averaging to deal with uncontrolled variability