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experiments
required to confirm consistent, repeatable results. it confirms psychological findings, especially when it comes to cataloging and tracking behavior
intuition
our internal feelings or compulsions that are usually wrong
biases
tendency to favor or support only our narrow views
what components are necessary for an experiment
theories, hypothesis, and operational definitions
theories
explanation that organize observations and predict outcomes (overarching ideas)
hypothesis
testable prediction related to a theory that is confirmed or unconfirmed by an experiment
operational definitions
exact procedures to find a variable so the experiment can be replicated
correlation study
how two factors are linked and can predict eachother
-correlation DOES NOT equal causation
cross-sectional study
a type of observational study that analyzes data from a population, or a representative subset, at a specific point in time
longitudinal study
observational research method in which data is gathered for the same subjects repeatedly over a period of time
surveys
a questionnaire that self-reports the anonymous behaviors and characteristics of a certain group
big flaw: response bias
naturalistic observation
unhindered observations of animals or people in their natural environment (people watching)
case studies
one individual or group is studied in depth in hopes of revealing some universal truth
experimental group
group exposed to the treatment
control group
group NOT exposed to the treatment in an experiment
double-blind experiment
both research participants and staff are unaware of which group has placebo and which group has treatment
-used to eliminate bias or interference by researcher
single blind experiment
the participants are unaware of if they have the placebo or treatment. not as truthful as double-blind
histogram
bar graph depicting frequency distribution amongst various populations and groups
scatterplots
a graph cluster of two variables with a slop suggesting a positive (bottom left to top right), negative (top left to bottom right), or none
descriptive statistics
numerical data used to measure and describe characteristics of groups. used in reference to analyze graphs or other data
inferential statistics
to infer from sample data the probability of something being true of a population. used in reference to analyze graphs or other data
correlation coefficient
measures how strong a relationship is between 2 variables, ranging from -1 to 1 to represent the correlation. the closer it is to 0 the weaker it is
positive skew
a right skew distribution which means that bulk of information is skewed to the right
negative skew
a skew in data to the left
biomodal frequency distribution
a dataset./graph that contains two peaks
bell curve
graph/dataset with one peak
central tendencies
central or typical value for a probability distribution (measures of central tendencies are often called averages)
mode
the most frequently occurring score
mean
avg score
median
the middle score in a distribution
range
difference between highest and lowest scores
standard deviation
measure of how much scores vary around a mean
standard deviation 1
68%
standard deviation 2
95%
standard deviation 3
97.5% or 97
independent variable
experimenters manipulate one or more factors
dependent variable
the effect of IV on behavior and mental processes
confounding variables
undesired variables that can impact the data, and unless controlled for, skew and/or ruin the research findings. can be age, gender,e etc
statistical significance
the likely probability that chance was not responsible for results of the study.
-experiments are going to be judged, valued, or dismissed based on this
-if confounding variables ae eliminated it causes the experiment to be pure
random selection
a representative sample selected randomly from diverse population
random assignment
the randomly selected group is put into experimental or control groups randomly
what are random assignment and selection used for?
eliminated bias or lack of diversity
in order to make sure an experiment is valid, what must be there?
a large sample size
why does an experiment need a large sample size to be valid?
it will produce consistent or not anomalous results. if there is a small sample size, there are too many confounding variables that can impact the results
APA/BPS
determines the ethics and procedures, and requires compliance from any prospective experimenters. any experiment must be approved by respective organizations
HIPAA Privacy Rules
requires physicians (mental & physical) to keep patient information confidential. when one turns 18, must put parents on HIPAA form to allow them to access medical papers
local institutional review boards
screen research proposals and safeguards participants well being at each institution, adhering to the policies of APA, BPS, and federal gov. APA always has first say, then review boards approve
institutional animal care and use committee
federally mandated committee in US that oversees its institutions animal program, facilities, and procedures
four ethic rules for experiments
obtain informed consent
protect from physical harm or discomfort
keep information about participants confidential
fully debrief patients afterwards
patients can leave at any time, cannot force people to stay in the study
deception must be warranted
sample
subgroup of population
population
all individuals in a group to which the study applies
between-subjects design
participants in the experimental and control groups are different
experimenter bias
phenomenon that occurs when a researcher expectations or preferences about the outcome of a study influence the results obtained
demand characteristics
the clues participants discover about the purpose of the study, including rumors they hear about the study suggesting how they should respond
placebo
the imitation treatment
placebo effect
experimental participants change their behavior in the absence of any kind of experimental manipulation
within-subjects design
a research design that uses each participant as his or her own control
counterbalancing
a procedure that assigns half the subjects to one of the treatments first and the other half of the subjects to the other treatment first
quasi-experimental research designs
controlled experiments, but participants are not randomly assigned
retrospective
look at the effect and seek the cause
test method
procedures used to measure attributes of individuals at a particular time and place
reliability
consistency or repeatability
validity definition
correctly predicts what its supposed to do
elementary statistics
involves the analysis of numerical data about representative samples of populations
representative sample
sample mimics general population
lurking variable
variable is responsible for relationship
positive correlation
variables that increase and decrease together
negative correlation
as one variable increases the other decreases
illusory correlation
belief of correlation that doesnt exist
debriefing
must be told the true purpose of study