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Research methods

Terms

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.15=
large effect
scientists 2 jobs
discover and document phenomenon; explain phenomenon
experimental group
participants to whom some sort of active manipulation is given
public verification
research must be conducted so that others can observe,replicate and verify it
MANOVA
allows us to examine more than 1 IV at a time
things that contribute to measurement error
situation factors,transient states, stable traits, measure characteristics, actual mistakes
DF within groups
N-K (# of part. -# of groups)
inferential statistics
let researchers determine how the results of their participants can generalize to other populations
demand characteristics
subtle clues to participants that tell them how they should behave in an experiment-solution, use a double blind procedure
positive skew
way more scores toward the lower end of the distribution
pre-test sensitization
having practice of taking the initial test can affect scores on the post-test
applied research
find solutions to real world problems
outliers
any score that is at least 3 SD's from the mean
differential attrition
people in 1 group drop out at a higher rate than people of the other group
evaluation research
program evaluation
effect size
assesses the strength of a relationship between 2 variables
scientific method
theory,hypothesis,test,re-theorize,re-hypothesize,retest
3 goals of behavioral research
predict,describe and explain behaviors and mental processes
representative sampling
ensure participants are representatives of the entire population that you're describing
3 criteria of scientific research
systematic research, public verification, solvable problems
t-comp > t-crit
reject the null
experimenter expectancies
experimenters biases affect their interpretation of the data
DF
# participants -2
one tailed test
the experimental hypothesis specifies a direction
placebo effect
physiological or psychological change that occurs just b/c it has been suggested. solution- placebo control group
true score..
score the person would have obtained if our measures were perfect
Factorial ANOVA
more than one IV each w/two or more levels
control group
participants who receive no manipulation
reasons research is important
help us evaluate common ideas/beliefs, helps keep you up to date on information that is relevant to your life, makes you an informed consumer,helps you become an authority/expert in certain topics
what makes an experiment
researcher must manipulate or vary at least one IV, must assign people to groups in a way that ensures their initial equivalence,must control for extraneous variables
between groups design
different people are in different groups/levels of the IV
longitudinal
the same group of participants is questioned more than once
systematic empiricism
observing the world in an organized,controlled and consistent matter
increasing reliability of a measure...
standardize administration, thoroughly train observers, clarify funky instructions and questions,minimize errors in coding data
variability
variance, sum of squares, range, standard deviation
one way ANOVA
IV with more than 2 levels
cross-sectional
a group of participants is surveyed at 1 time only
reducing bias
make sure items apply to all people who may take your test
3 criteria for causal variable
cause must come before effect- there must be correlation- the causal relationship must be nonspurious
meta-analysis
research procedure that combines results from many studies-specifically looks are systematic variance across studies-research must compute effect size from each study-the effect sizes are averaged to determine an ultimate strength of relationship
error variance
variance in people's behavior that can't be accounted for; variance that is unrelated to the other variable in the study
A hypothesis is deduced
from a theory
discussion
put your results in a larger context
.01=
small effect
interrater reliability
consistency among two or more researchers who observe and record participants' behavior
matched subject
find a pair or set of participants who are similar on many important characteristics, then randomly assign one member of each pair or set to a different IV level
random groups
you randomly assign participants to the levels of the IV
observed score=
true score+ measurement error
measurement error..
the deviation of a person's observed score from their true score
t-test-
an inferential statistic that tells if there is a difference between the means of two groups
withing groups design
the same people are put into different groups/levels of the IV
t-comp< t-crit
fail to reject the null
operational definitions
defines a concept by saying precisely how it is measured in a given research study
abstract
comes first in the paper but is written last. gives an overview of the entire study
maturation
participants development over time influences results
3 types of one way designs
random groups, matched subject, repeated measures/withing subjects
repeated measures/withing subjects
each participant experiences each level of the IV at a different time period
negative skew
way more scores on the higher end of the distribution
introduction
do a literature review and tell readers what your research question and hypothesis are
basic research
understand psychological processes; gain knowledge
systematic variance
variance in people's behavior that can't be accounted for; variance that is unrelated to the other variable in the study
test-retest reliability
consistency of participants responses on a measure over time
type I error
we claim that the IV had an affect on the DV but it did not
confounds
fatal flaw of an experiment
.06=
medium effect
biased assignment
participants in 1 group are systematically different than participants in other groups at the study's onset-solution-random assignment
inter-term reliability
consistency among the items of a scale
two tailed test
the experimental hypothesis does not specify a direction
4 types of research
descriptive, correlational, experimental,quasi-experimental
solvable problems
only investigate questions that can be answered given current knowledge and research techniques
history effects
an outside event occurs during the experiment that influences the results
descriptive statistics
summarize the behavior of the participants in your study
DF between groups
K-1 (k=# of groups)
threats to internal validity
biased assignment, differential attrition, pre-test sensitization,history effects, maturation
type II error
we say that there is no affect of the IV on the DV but there is
successive independent samples
2 or more different groups of participants answer the same questions at different time points
method and results
step-by-step of the experiment, report statistical information that results from your data analysis

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