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What can experimental studies measure that correlation cannot?
causation because correlation does not equal causation!
Independent Variable
Cause
Dependent Variable
Effect
behavioral
how we learn observable responses
biological
how the body and brain enable emotions, memories, and sensory experiences; how do genes combine with the environment to influence individual differences
cognitive
how we process, store, and retrieve information (thinking/brain)
evolutionary
how certain traits help animals/genes survive
ex: wings of a butterfly help them survive against predators
humanistic
personal growth, love, acceptance, and self-fulfillment
everyone has their own free will to become whoever they want to become even when people are under influences
psychodynamic
how behavior springs from UNCONSCIOUS drives and conflicts, also if it talks about CHILDHOOD
social-cultural
cultural and situational influences on behavior
biological influences
natural selection, genetic reactions to an environment, brain mechanisms, and hormonal influences
psychological influences
emotional responses, cognitive processing, learned fears, and other learned expectations
social-cultural influences
peers, culture, family, and media
biopsychosocial approach
considers the influences of biological, psychological, and socio-cultural factors
positive psychology
study of strengths, flourishing, "good life"
Psychologists vs. Psychiatrists
Psychologists: study behavior and mental processes
Psychiatrists: focus on medical treatment of psychological disorders (can prescribe medications)
Nature vs. Nuture
Are human traits present at birth, or do they develop through experience?
Psychology
scientific study of mental processes and behavior
the "thinking" parts of our brain
what we do and how we act
Confirmation Bias
looking for info that confirms your beliefs
Deception
doing something to the participants without telling them
What are the measures of central tendency?
Mean, Mode, Median, and Range
effect size
small effect size effects the independent variable little
large effect size really effects the independent variable
Standard deviation
A measure of how spread out the numbers are around the mean. the farther away, the more spread out from the average, the closer together
Need to remember: 68%, 95%, 99.7%
What is an operational definition?
specifies exactly how a psychological concept or variable, like anxiety or intelligence, will be measured or observed in a study
Create an operational definition for "aggression" that could be measured
How many aggressive behaviors measured in 24 hours
Number of times a participant raises their voice in a class period
What are the six things you need to include in your FRQ
A. Research Method
B. Operational Definition
C. Statistical Analysis
D. Ethical Guidelines
E. Generalizability
F. Support or Refute hypothesis (with evidence)
What are the 5 possible answers for the Research Methods section?
experimental method
A method where the researcher manipulates one variable to see if it affects another. Has at least two groups where one is manipulated/"messed" with
(used to investigate cause and effect relationships!)
naturalistic observation
Watching behaviors occur naturally without interfering.
case study
A detailed examination of a single subject or group. (long-time study)
correlational research/study
A study that investigates the relationship between two or more variables
correlation does NOT equal causation
meta-analysis
A method of combining data from many different studies
confirmation bias
The tendency to favor information that confirms your existing beliefs.
hindsight bias
The feeling after something happens that you knew it was going to happen ("I knew-it-all-along phenomenon" or "I told you so")
overconfidence
Being more confident than correct; overestimating the accuracy of your beliefs. (when people think they know more than they actually do; overestimating their abilites)
empirical evidence
Information from experiments or observations rather than theories.
the scientific method
step-by-step method for conducting research. (theory, hypothesis, data, study, conclusion)
hypothesis
An educated prediction that you can test through study and experimentation. (based on existing theories, observations, or previous research findings)
falsifiable
Something that can be proven wrong through tests.
peer review
The process of having other experts examine your work to check its validity.
replication
The experiment has to be able to be replicated/recreated
reliability
The consistency of a research study or measuring test. (doesn't necessarily have to be correct)
validity
The accuracy of a test or research to measure what it claims to measure. In other words, is it measuring what it's supposed to measure?
The American Psychological Association (APA)
A major organization for psychologists in the United States.
research design
overall strucutre - what are you going to do?
methodology
specific techniques - how are you going to do it?
quantitative data
numerical - anything with numbers (quantity)
qualitative data
categorical data (quality)
likert scales
A scale used to represent people's attitudes or feelings; respondents specify their level of agreement to a statement.
structured interview
Interviews where everyone is asked the same questions in the same way.
survey technique
A method of gathering information by asking people questions. It is used to report self-report measures (just a normal survey asking people questions)
Wording effect
How the way a question is phrased can influence the answers given.
social desirability bias
The tendency of respondents to answer questions in a manner that will be viewed favorably by others. (if it's anonymous you are more likely to get more honest responses)
confounding variable
An extra variable that wasn't accounted for that could affect the results of an experiment.
random assignment
Assigning participants to experimental and control groups by chance, which helps ensure that any differences observed after the treatment are due to the treatment and not a preexisting difference.
experimental bias
When a researcher's expectations influence the outcome of a study.
single-bind study
When the participants do not know whether they are receiving the treatment or not, but the researcher does know
double-blind study
When neither the participants nor the researchers know who is receiving a particular treatment.
Sample
A group of subjects selected from a larger population for study.
representative sample
A randomly chosen sample of subjects from a larger population that accurately reflects the characteristics of the larger population
third variable problem
A situation where an unseen variable affects the results of a study.
scatterplot
A graph in which the values of two variables are plotted along two axes, the pattern of the resulting points revealing any correlation present.
correlation coefficient
A number between -1 and 1 that describes the strength and direction of a relationship between variables.
Positive correlation
A relationship where if one variable increases, the other does too.
Negative correlation
A relationship where if one variable increases, the other decreases.
No correlation
correlation coefficient of 0 indicates no relationship, the dots are scattered all along the scatterplot
statistics
The science of collecting, analyzing, presenting, and interpreting data.
descriptive statistics
Statistics that summarize data, such as the mean or standard deviation. (easy to see on tables and graphs)
inferential statistics
Statistics used to infer the properties of a population, based on a sample of data. (make educated guesses based on the overall sample) [generalizations!]
Mean
average
Median
the middle
Mode
the most common number
Range
how spread out your data is. The larger the number, the more spread out, the smaller the number, the less spread out (largest - smallest)
normal curve or bell curve
majority of data falls in the middle
regression to the mean
The phenomenon that extreme values in data tend to be closer to the average on subsequent measurements.
positive skew
right skew, majority of data falls on the left side
negative skew
left skew, majority of the data falls on the right side
percentile rank
Tells you where you stand compared to others in the group
bimodal distribution
A data distribution where there are two modes
statistical significance
The likelihood that a result from data collected by an experiment is not due to chance
p < 0.05 means that the data is NOT due to chance