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168 Terms
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intuition
knowledge based on "hunches" and what feels right
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limitations of intuition
cognitive and motivational biases affect perception illusory correlation
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illusory correlation
tendency to perceive relationships where there is none
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authority
acceptance of knowledge because it is acquired from highly respected sources
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limitations of authority
information may be inaccurate information may be biased
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logic and reasoning
knowledge based on logical reasoning (or inferring conclusions that are implied by the premises and the relations between premise)
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limitations of logic and reasoning
the conclusion of a logical argument is limited by the premise making up the argument
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scientific approach =
empirical
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empirical
to make observations
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scientific method
generate a problem make an observation ask a question search prior literature form a hypothesis conduct an experiment collect data draw conclusions
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ideas have to be ______ and _______
testable and faslibiable
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peer review
expert scientists carefully evaluate research
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serotonin hypothesis
no evidence that serotonin inbalance is the causal explanation for depression (lacks validity)
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characteristics of pseduoscience
anecdotal evidence appeals to authorities claims are vague uses scientific sounding terminology
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pseudosciene
tries to intentionally pass off something as scientific when it is not
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population
entire group that a researcher wishes to study
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sample
set of individuals selected from a population intended to be selective of the population
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parameter
characteristics that describes a population
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statsistics
characteristics that describe a sample
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variable
a factor or element one expects to change, vary, or have several different vaules
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well define variables =
height, weight, eye color
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psychological constructs =
aggression, depression, intelligence, memory, political attitudes
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conceptual definition
defining variables in theoretical terms
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operational definition
how the researcher uses the variables in the study
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descriptive research (describing variables)
examines individual variables and no relationship between variables
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correlational research (relationships between variables)
examines relationships between variables by measuring two or more variables for each participant
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experimental and non-experimental research (comparing groups)
examines relationship between 2 or more scores
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direct replication
copy the original study
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systematic replication
very similar to the original study but with some version
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conceptual replication
based on the idea of the original study but very different from it, usually with significant changes to measures or manipulations
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replication crisis
50% of replication of famous psych studies do not match
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theory
systematic body of ideas about a particular phenomenon
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research question
identifies and describes the broad topic of investigation
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hypothesis
testable prediction about the relationship between two or more variables
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null hypothesis
no relationship between variables
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good hypothesis
logical, specific, falsifiable, supportable
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Barnum effect
observations that individuals will give high accuracy ratings to descriptions of their personality that supposedly are tailored specifically for them, yet are very vague and general enough to apply to a larger pouplation
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falsifiability (refutable)
when you can imagine an observation that would cause you to reject the hypothesis
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supportable
predict differences rather than no differences
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research ethics
refers to the behavior of the researchers
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researchers are responsible for
protecting participants, research assistants, and readers of the reports
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scientific integrity
commitment to intellectual honesty and adherence to ethical principles in scientific research
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benefience
maximize benefits and minimize harm need to do a risk-benefit analysis and justify any remaining risk
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physical harm
medical procedures, sleep deprivation, studies alcohol/caffeine
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psychological harm
asking about traumatic events, anxiety, giving unfavorable feedback
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breach of privacy/confidentially
bathroom/internt privacy
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anonymity is _______ to protect privacy
best
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informed consent
treat individuals as autonomous
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threats to autonomy
coercion, deception (counteract with debriefing)
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justice
participants were treated impartially without bias on gender, wealth, sexuality etc.
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instituional review board
responsible for the review of research conducted within the institution (they decide if the benefits outweigh the risks)
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mediators
variable that proposes the mechanism that comes between a cause and its effect (possible explanation for relationship between X and Y)
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mediators do what?
explain the relationship between 2 variables (causal)
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moderators
variables used to determine when ----> in what situation and for whom the cause has effected (affects the magnitude of the effect of X ad Y)
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moderators do what?
affects the magnitude of effect of x and y
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categorical variables
takes a finite number of categories or distinct group (discrete) (typically qualitative)
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examples of categorical variables
race, political party
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continuous variables
take on an infinite number of variables between any 2 values (typically numerical)
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examples of continuous variables
age, income
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nominal scale
levels represent different categories or groups
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examples of nominal scale
pet type, color, fruit
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ordinal scale
adding order to a nominal scale categories order in meaningful scale
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examples of ordinal scale
the hotness of peppers, class grade, letter grade in glass
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interval scale
difference between the numbers on the scale is meaningful and equal in size no absolute zero (no absence of measure)
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examples of interval scale
temperature (C or F) time of day
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ratio scale
equal and meaningful differences between numbers on the scale absolute zero (represents absence of measure)
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examples of ratio scale
weight, reaction time, length
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Likert scale controversy =
ordinal scale
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measurement reliability
degree to which a measurement is consistnet
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less measurement error =
more reliable the measure
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systematic error (bias)
varies systematically or consistently pushes scores higher or lower in a way that leads to inaccurate or misleading conclusions
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random error
variation from one's true score due to unsystematic or chance factors that occur in a haphazard, disorganized, or arbitrary way
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examples of systematic error (bias)
observer bias, bias in administering the measure, participant bias (social desirability and interpretation of the study = demand characteristics)
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examples of random error
forgetting to start the timer on one trial, entering a measuring incorrectly, fire alar going off during an experimental session, participant misreading a question and answering incorrectly
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test-resets
same test is taken twice assesses overall effects of random error
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alternative form
two different form of same test created and used assesses overall effects of random error
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test-retest coeffcient
the percentage of variation is score that is NOT due to random error
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split-half reliability
correlation between total score one half of the test with total score on another half of the test assesses amount of random error due to the participant
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cronbach's alpha
average of all possible spilt-half reliability coefficients assesses amount of random error due to the participant
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internal consistency reliability assesses
amount of random error due to the participant
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interrater reliability
extent to which rater agree in their observations assess amount of random error due to the observer/scoer
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interrater realibilty assesses
amount of random error due to the observer/score
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standardization
treat each participant in the dame way
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reliability is a _________ for validity
prerequiste
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construct validity
degree to which a measurement device accurately measures the theoretical construct it is designed to measure
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face validity
the extent to which the measure appears to measure what its supposed to "Does the scale appear to be measuring the variable?"
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content validity
extent to which a measure represents all facets of a given construct "Do the items on the scales represent the various aspects of the variables being measured?"
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convergent validity
the extent to which scores on the measure in question are related to scores on other measures of the same construct or similar constructs "Does the scale relate to other measures of similar constructs?"
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discriminant validity
the extent to which measurements that are not supposed to be related are, in fact, unrelated "Does the scale relate to measures of unrelated variables?"
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predictive validity
extent to which a score on a test predicts scores in some criterion measure "Does the scale relate to relevant outcome or behavior that occurs in the future, after the scale is completed?"
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concurrent validity
people in groups known to differ on a construct should differently on the measure "Does the scale differentiate in a manner that helps to predict a relevant outcome or behavior currently?"
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sensitivty
ability to detect differences among participants on a given variable
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sensitivity measures should be
valid, reliable, provide a variety of scores
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correlational hypothesis
there is some relationship between x and y there is a positive relationship between x and y. As x is increasing, so is y. There is a negative relationship between x and y. As x increases, y decreases. Null: There is no relationship between x and y.
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experimental hypothesis
x and y will differ on _________ x will be more than y on _________ x will be less than y on _______ Null: x and y will not differ on _______
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pearson =
r value numerical index of the strength of the relationship between two variables
-1 to 1 closer to 1/-1 = stronger relationship closer to 0 = weaker relationship
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sig (2 tail) =
p value
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risk-benefit analysis
some greater good must come out of psychologists using human subjects (good for subjects and mankind)