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scientific research
needs evidence to support a claim, needs to be EMPIRICAL with tangible evidence
empirical
grounded in OBJECTIVE EVIDENCE, can be observed again and again with same conclusion
fact
objective reality
opinion
personal judgment, conclusions, attitudes
deductive reasoning
idea tested in the real world, starting with a generalization
inductive reasoning
new idea based on another idea
theory
set of ideas meant to propose an explanation or solution
james-lange theory of emotion
emotional experiences rely on the physiological arousal associated with the emotional state
falsifiable
capable of being PROVEN TO BE INCORRECT
observational techniques
produce LARGE AMOUNTS OF INFO
hard to apply findings to larger population
naturalistic vs. structured
survey
collects data from large samples
gives generalized results
can be skewed by wording
archival research
use of PRE EXISTING research to collect data
no control over what was recorded or how it was recorded
correlational data
RELATIONSHIP between two or more VARIABLES **NOT CAUSATION
clinical/case study
focuses on one person or a small group of unique individuals
generalizing
applying the findings of data to a bigger group
naturalistic observation
observes behavior in its NATURAL SETTING
accurate info
hard to set up and control
structured observation
people observed in SET, SPECIFIC TASKS
affected by observer bias
observer bias
observers unconsciously skew their observation to fit a goal or expectation
inter-rater reliability
CONSISTENCY of observations BETWEEN OBSERVERS
sample
subset of individuals selected from population
measures of central tendencies
mean: average number
median: middle of data set
mode: most frequent
longitudinal research
data collected over time from SAME people
change over time
attrition rates
attrition rate
people who may drop out of a study
cross sectional research
compares multiple parts of the population at the same time, can show the social and cultural experiences of DIFFERENT GENERATIONS
illusory correlation
when people believe there is a relationship, even though there is none at all
confirmation bias
when researchers look for evidence to support their claim, IGNORE EVIDENCE saying otherwise **”cherry picking”
cause/effect relationship
only determined by scientific experimentation
experimental hypothesis
can come from direct observation or reviewing old research
experimental group
experiences the treatment or variable
control group
does NOT experience the variable or treatment
operational definition
defines the variables so others can understand what is being measured
single blind study
one group is unaware of whether or not they are the experimental or control group
double blind study
both researchers and participants are blind to the group assignments to control expectations
placebo effect
when somebody’s expectations or beliefs influence their experience in a situation
independent variable
manipulated or controlled by the experimenter
dependent variable
what is being MEASURED to show the EFFECT of the IV
random sample
subset of larger population where everybody has an EQUAL CHANCE of being picked
quasi experiment
groups are based on a pre existing condition and are not picked at random, NO CAUSE/EFFECT CLAIMS
statistically significant
must be less than 5% likely that the differences occurred purely by chance
reliability
ability to CONSISTENTLY give a good result
validity
extent that a tool ACCURATELY MEASURES what it is meant to
informed consent
voluntary
participants can discontinue at any time
data is confidential
deception
researcher purposely misleads participants
not harmful
requires debrief after
debrief
addresses:
purpose
how the data will be used
why deception was necessary
how to obtain additional info about the study
deviation
statistical measurement of how much an individual response varies from the mean
third variable effect
unmeasured factor causes false correlation between two variables