Wilhelm Wundt
- father of experimental psychology
- founded the first psych lab
- structuralist
Edward Titchener
- Wundt's student
- coined the term "structuralism"
- structuralist
Structuralism
studying the mind by trying to look at what it's made up of
- problems with methods used, such as introspection
William James
- wrote the first psychology textbook
- functionalist
- father of AMERICAN psychology
Functionalism
attempt to study what the mind does/its functions
Introspection
- one examines their own sensations, feelings, thoughts, and perceptions
- often very subjective
Margaret Floy Washburn
- first woman to earn a Ph.D. in psychology
- second woman to become president of the APA
Gestalt
"Pattern;" How the brain organizes and structures our perceptions of the world
Behavioral Approach
Only environment molds behavior of animals/humans; John B Watson
Behavior
Observable actions of human beings and nonhuman animals; Is shaped by rewards and punishments; Looks at observable behaviors, not what's going on in the mind or biological process
BF Skinner
Operant conditioning
Ivan Pavlov
Classical conditioning
Cognitive Approach
How we process, perceive, store, and recall information (memory)
Humanistic
How people pursue GOALS that give their lives a sense of meaning and purpose; Carl Rogers and Abraham Maslow
- focuses on the need for love, acceptance, and self-fulfillment
Socio-Cultural
Study of how situation and cultures affect our behavior and thinking
Evolutionary
Our behavior reflects inherited predispositions or tendencies that increased the likelihood of survival of our ancestors
- traits passed down to us
- Darwin's natural selection
Psychodynamic/analytic Perspective
Focuses on the unconscious mind; Sigmund Freud
- psychoanalysts looked for impulses or memories pushed into the unconscious mind, often times during childhood, through repression
Mary Whiton Calkins
- First female president of the APA
- "self-psychology" -> field that emphasized introspection
Dorthea Dix
- Created the first mental hospitals across the US and Europe
- Improved existing mental health facilities and opened many new ones
G. Stanley Hall
- "Father of Adolescence"
- Coined the term "storm and stress" -> describes the period of adolescence
Clinical domain
Clinical psychologists help individuals with psychological disorders
- applied research
Psychiatrist vs. Psychologist
Psychiatrists CAN prescribe drugs, psychologists CANNOT prescribe drugs
Counseling Domain
Looks to help individuals who are going through a difficult time in their lives
- applied research
Biological Domain
Studies how structures in the brain and nervous system influence behavior
- basic research
Cognitive Domain
How humans process, perceive, store, and recall information
- basic research
Developmental Domain
How people change and grow over their lifetimes
- basic research
Experimental Domain
Deals with researching a broad spectrum of human behaviors, mental processes, disorders, etc..
- basic research
Educational Domain
Investigates how people learn and process information
- helps teachers implement the most effective practices of teaching
- applied research
Industrial-Organizational Domain
How to maximize employee performance in the work place
- applied research
Personality Domain
Examines how personalities affect the ways in which people navigate the world
- applied research
Psychometric Domain
Creation and implementation of tests (SAT, ACT, etc.) that can be used to measure mental attributes, behavior, performance, etc.
- basic research
Social Domain
How things like culture, religion, family, peer groups, income, and the environment shape an individual's beliefs, goals, and behaviors
- basic research
Positive Domain
Helps people live their most meaningful and fulfilling lives
- Martin Seligman
- applied research
Applied Research
Research performed in an attempt to solve scientific problems
Basic research
Increase the scientific knowledge base
- expanding our understanding of why humans do what they do
Mode
Most frequently occurring score in a distribution
Mean
Arithmetic average of a distribution
- obtained by adding the scores and then dividing by the number of scores
Median
Middle score in a distribution
- half the scores are above it and half are below
Range
Difference between the highest and lowest scores in a distribution
Social desirability bias
Tendency to give socially approved answers to questions about oneself
- to make oneself look good to others
Confounding variable
Variable that the experimenter did not account for initially that WILL affect the variables being studied
- extraneous variable whose presence affects the variables being studied so that the results you get do not reflect the actual relationship between the variables being investigated
Within subject design
Experimental design in which the same group of participants is exposed to all the treatments in an experiment
- all participants are exposed to every treatment/condition
Between subject design
Each participant participates in one group
- study in which individuals are assigned to only one treatment or experimental condition and each person provides only one score for data analysis
Longitudinal study
Research design that examines how individuals develop by studying the same sample over a long period of time
- good for looking at effects/changes over a long period of time, usually as people age
Cross sectional study
Research that compares people of different ages at the same point in time
Stratified sampling
Sampling method used when the population is composed of several subgroups that may differ in the behavior or attribute that you are studying
- individual groups are called "strata"
Scientific method
Question, theory, hypothesis
- way of making observation, gathering data, forming theories, testing predictions, and interpreting results
Hypothesis
Tentative and testable explanation of the relationship between at least two events or variables
- IF -> THEN statement
Reliability
Yields consistent results
- results can be replicated by someone else
Validity
The extent to which a test measures or predicts what it is supposed to
Operationalize (Operational definition)
Defines the variable in very specific terms as to how it will be measured, manipulated, or changed
- amount, time/duration, change
Overconfidence
The tendency to be more confident that correct; Overestimate the accuracy of our beliefs and judgments
Theory
Something that has already been tested and researched
- not just an “idea“
Case study
Research design involving an in-depth and detailed examination of a single subject
Advantages: allows researchers to gather and document information about rare conditions or cases; may provide new evidence to support psychological theories; help researchers develop a hypothesis that could be useful in future studies
Disadvantages: what is true of one person may not be true of everyone; can’t generalize
Survey
Technique used for ascertaining the self-reporting attitudes or behaviors of a particular group, usually by QUESTIONING a representative, random sample of the group
Advantage: great way to collect a LARGE amount of data
Disadvantages: social desirability bias; volunteer bias (people who chose to vote aren’t representative of the whole population)
You need a large enough sample to represent your population; if your population isn’t large enough, you CAN’T make generalizations from your study about the entire population
Population
The ENTIRE GROUP you want to study
Random sample
In which every person in the population has an equal chance of participation
Naturalistic observation
Observing and recording behavior in naturally occurring situations without trying to measure and control the situation
Describes behavior, doesn’t explain it
Advantages: flexibility; external validity; suitability for topics that can’t be studied in a lab setting
Disadvantages: lack of scientific control; ethical considerations; potential for bias from observers and subjects
Correlational study
Shows relationships between two or more variables
Positive correlation
Both variables increase OR decrease
Negative correlation
One variable increases and one decreases (opposite directions)
Correlation coefficient
Reveals the strength of the relationship between two things
R-Value
The further away R is from zero, the stronger the relationship is between two things
measures the amount of variation in the data that is explained by the model
What is the only type of study that can prove cause and effect?
Experiments
Important: Correlation does NOT imply causation
Illusory correlation
The PERCEPTION of a relationship where NONE exists
ex. superstition
Experiments
Research method in which an experimenter can determine cause and effect through manipulation of (independent) variables
only research method that can prove cause and effect
Independent variable
The variable which is manipulated by the researcher
Dependent variable
What’s being measured
Third/Lurking/Extraneous variable
Variable not being investigated that MAY affect the outcome
ONLY applies to correlational studies
for AP exam→need to explain how it affects BOTH variables
Experimental group
The group receiving or reacting to the independent variable in an experiment
Control group
The group that does not receive the independent variable in an experiment
used to COMPARE
Placebo
Fake treatment with no known medical effects, but possibly mental ones
Placebo effect
When someone/a group of people behave as if they have received the real treatment, when they have actually been given a placebo
Gestalt psychology
Looking at things as a whole; gestalt psychologists argued against diving human thought and behavior into discrete structures
Max Wertheimer
Single-Blind Experiment
Participants don’t know which group they’re in
prevents participant bias
Random Assignment
When each participant has an EQUAL chance of being placed into the experimental or control group
goal: make groups identical so that a COMPARISON can be made between the experimental and control groups
reduces the possibility that participant/subject variables (eg. gender, age, weight, etc.) may bias the results
limits the effects of confounding/lurking variables
in experiments
Double-Blind Experiment
Both the researcher and participants don’t know who is in which group
prevents researcher AND participant bias
Random Sampling
When the group of subjects in your experiment accurately depicts the whole population
typically in surveys
everyone in the population has an equal chance of becoming the representatives of the populaiton
can make generalizations about the population as a whole after collecting data from the sample
Unlike with correlations, cause and effect can be determined through EXPERIMENTATION. WHY?
Manipulate variables
Control the setting (ie random assignment)
Downside to experiments
Experiments can be too artificial and don’t always replicate the real world
Quasi Experiment
When participants are NOT randomly assigned
Hindsight Bias
“I knew it all along“ effect
Deterministic behaviors
Theorized that all behaviors are caused by past conditioning
Normal distribution
Approximate distribution of scores expected when a sample is taken from a large population
Positive skew
Data that has a long tail extending toward the right
lots in the left
Negative skew
Data that has a long tail extending left
lots to the right
Measures of variability
Range, interquartile range, variance, and standard deviation
Statistical significance
Term used to indicate whether or not the difference between groups can be attributed to chance or if the difference is likely the result of experimental influence
if something is statistically significant, it did not occur by chance
Experimenter bias
When researchers influence the results of an experiment to portray a certain outcome
Percentile score
Indicates the percentage of scores that fall below a particular score
-3 = 0.13%
-2 = 2.28%
-1 = 15.87%
0 = 50%
1 = 84.12%
2 = 97.72%
3 = 99.87%
Self-fulfilling prophecy
When a person unknowingly causes a prediction to come true, due to the simple fact that they expect it to come true
an expectation about a certain subject can sometimes affect the outcome of said subject
Field Experiment
Applies the scientific method to experimentally examine an occurrence in the real world (or in naturally-occurring environments) rather than in the laboratory
Hawthorne effect
People will work harder when they believe they are being watched
Scatter diagram
Graphical display that shows the correlation or relationship between two sets of data (or co-variables) by plotting dots to represent each pair of scores
Measures of central tendency
Normal distribution - mean
Skewed graphs - median
Histogram
A bar graph depicting a frequency distribution
Nature
Innate biological factors that influence development and personality
Nurture
External and environmental factors, including learning, that influence development and personality
Frequency distribution
Plotting how often certain phenomena occur
Normal distribution (bell curve)
Arrangement of data values that cluster around the middle