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Psychodynamic
unconscious mind, early stages of childhood, ego
Cognitive
thinking, using your mind, how the mind works
Behavioral
learned through observation, past rewards or punishments impact likelihood of gesture
Humanistic
self actualization, being the best version of ourselves
Biological
brain structures and chemicals influence what we do or think
Evolutionary
survival or reproductive advantage
Sociocultural
cultural gesture or norm, environment influences determine our behavior
Strengths of Psychodynamic
not always totally aware
limitation of Psychodynamic
but total influence, don’t remember childhood
strengths of cognitive
homosapien “wise man”
limitations of cognitive
emotions?, difficulty to see “thinking”
strengths of behavioral
observable, measureable
limitations of behavioral
no thought
strengths of humanistic
positive
limitation of humanistic
too positive, can’t explain bad
strengths of biological
(B) empirical data
limitation of biological
(B) influence of environment and nature
strength of evolutionary
(E) empirical data
limitation of evolutionary
(E) influence of environment/nature
strengths of sociocultural
importance of nature
limitation of sociocultural
no genetics/nature or biology
strengths of biopsychosocial
big picture
limitation o biopsychosocial
too broad
hindsight bias
individuals think one could have anticipated the outcome of an event or study after it has already occurred
confirmation bias
individuals selectively attend to information that is aligned with one’s POV and dismiss or minimize information that challenges one’s belief
overconfidence
characterized by an overestimation of one’s actual ability to perform a task successfully, by a belief that one’s performance is better than that of others
experimenter bias
researchers unknowingly influence the outcome of the research
self report bias
participants inaccurately report behaviors, feelings, or attitudes is often due to memory errors or, in some cases, social desirability bias
social desirability bias
participants answer dishonestly to match the experimenter’s expectations or create a favorable impression
sampling bias
sample is not representative of the population from which it is drawn, leading to an inability to generalize the results
false consensus effect
individuals overestimate how many others agree with their beliefs, behaviors, or attitudes
operational definitions
a variable that can be measured in order to find a correlation between the independent and dependent variable in a study
hypothesis
a prediction of a study
null hypothesis
a prediction that has no effect
case study
studies 1 person
quasi experiment
pretending to be an experiment wannabe
meta analysis
stats combination of 2+ studies
correlational
relationship between 2 variables
experiment
can determine cause and effect
naturalistic observation
naturally observing
IRB approval
authority to approve, require modifications in a research
informed consent
asking permission of the participants in the study
protection from harm
nothing bad can happen to them; biological, physical, emotional, psychological
confidential
keeping everything private and anonymous
limit deception
no lying to the participants for researcher benefit, if you deceive then you have to debrief
debriefing
letting the participants know of what happened during the experiment and to explain what they were doing
positive correlation
2 variables increasing or decreasing together; +1.00
negative correlation
2 variables in inverse relationship; -1.00
No correlation
there is no relationship between the variables; 0
illusory correlations
random events that we notice and falsely assume are related
strong correlation
number is closer to ±1
weak correlation
number closer to 0
large standard deviation numbers indicate…
more variability in data
small stand deviation numbers indicate…
less variability in data
positive skew
leans to the left; more data with lower values
negative skew
leans to the right'; more data with higher values
correlation coefficient
measures the strength and direction of a relationship between 2 variables'; range -1 to +1
Does correlation prove causation?
NO
statistical significance
likelihood that a result occurred by chance
effect size
measures the magnitude of a phenomenon