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Psychology
study of the brain and how it functions
Cognitive Bias
the brain making presumptions by following patterns rather than details
Confirmation Bias
seeking evidence that confirms or supports your point of view
Cultural Norm
things society has normalized
Confounding Variable
factors that can alter experiment results that you didn't count for
Hypothesis
a guess or theory about the relationship between two variables
Control group
part of the experiment that is a baseline/hasn’t changed (for comparison)
Experimental Bias
Not experimenting in an unbiased way, leading samples one way
Random sampling
getting a variety of people that are representative of society
Independent variable
the variable you can change / being intentionally manipulated
Dependent variable
the effect measured by the impact of the independent variable
Correlation
the relationship between two variables (typically IV and DV)
Random assignment
equal chance of being put into control or experimental group
Single blind
you don’t tell the participant their role in the experiment
Double blind
the experimenter and participant don’t know the participants role
Falsifiable hypothesis
hypothesis that can be proven wrong
Replication
helps make sure the experiment is replicable and provable
Experimental group
the group that is being experimented on
Convenience sampling
non-random / easy way to select people due to accessibility
Representative sample
specifically looking for a particular trait in representatives
Hindsight Bias
False assumption you would’ve known the answer in the moment
Qualitative data
focuses on in depth understanding and rich descriptions of phenomena: names, smells, tastes, colors, things we perceive through our five senses
Structured interviews
predetermined questions asked in the same order to each person
Unstructured interviews
Open ended questions allowing for in depth exploration of topic
Focus Group
group discussions on a specific topic guided by a moderator
Natural Observations
Systematic recording of behavior in natural or controlled settings
Case studies
in-depth examination of a single individual or small group
Quantitative data
emphasizes numerical data and statistical analysis: Scores, weight, shoe size, numerical value, scales
Likert Scales
Participants rate agreement with statements on numerical scales
Psychological tests
standardized assessments measuring specific traits/abilities
Physiological measures
recording of bodily responses
Surveys
collection of data from a large group of people using questionnaires
Generalization
to expand or apply findings to the general population
Scatterplot graphs
a graph that displays the relationship between two variables (used when talking about correlation)
Meta-analysis studies
combination of many different types of research to reach an overall conclusion
Measures of Central tendency
tools used to determine a general trend
Mean
The sum of all scores divided by the number of scores
Median
The middle score when the data is arranged in order (less affected by outliers)
Mode
The most frequently occurring score (can have multiple or none)
Measures of variation
looking for outliers and unexpected results (verified by s.d.)
Range
The difference between the highest and lowest scores (largest - smallest)
Standard deviation
average distance of each score from the mean (1,2,3) tells how much the scores deviate from the average, larger = more spread out
Normal/bell curve
average is where most of the data comes from
Bimodal distribution
multiple peaks in data chart
Percentile rank
the percentage of scores in a distribution equal / lower than given score
Positive skew
measure of asymmetry of an distribution (data leaning left)
Negative skew
measure of asymmetry of an distribution (data leaning right)
Causal relationships
statistical way to measure how strongly two variables are related
Correlational research
finding the relationship between two things
Correlation coefficient
a statistical index of the relationship between two things (from -1 to +1) (how strong a correlation is)
Positive correlation
when both X and Y numbers go up or down together
Negative correlation
when one (X or Y) goes up and another goes down
Third Variable Issue
both variables are influenced by a third, unobserved or uncontrolled factor
Population
who was available to be selected to be tested on
Sample
who out of the population was actually tested on
Placebo
giving someone what they think is a drug (actually nothing) often in a control group
Placebo effect
The response to what you think is a medication
Institutional review board
protects participants from harm and reviews experiments
Protect from harm
experimenters' responsibility to ensure no one is harmed in an experiment
Peer Review
psychologists review an experiment to identify issues for ethical concerns
Informed Consent
letting participants know what is going on in the experiment
Informed Assent
Parental consent given for a participant
Confidentiality
keeping information private to assure ethic value
Debriefing
explaining results to the participants (no trauma)
Operational definition
clarifies abstract concepts by specifying how they are observed and measured
Deception
deliberate distortion or withholding of facts intended to mislead another individual (take place in trials)
Confederate
someone who is in on the deception / a plant
Non Experimental Research
lacks manipulation, control, cause and affect
Regression towards the mean
the tendency for extreme or unusual scores to fall back (regress) toward their average
P value
represents the probability of obtaining results as extreme as those observed in the study assuming the null. You really want less than 5% as it shows randomness and consistency. If higher than .5, you will likely reject the hypothesis and conclude that there is a statistically significant effect