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confirmation bias
tendency to gather evidence that confirms preexisting expectations, pursuing supporting evidence while dismissing contradictory evidence
cultural norms
shared rules and expectations within a society or group that guide how people should think, behave, and interact
experimenter bias
researcher’s expectations/behavior influence results of study
hindsight bias
tendency after event happened to overestimate extent outcome could have been foreseen
overconfidence
overestimation of actual abilities to perform task successfully, excessive certainty in accuracy of one’s belief
peer review
assess validity, quality, and originality of articles for publication by members in the field to maintain integrity of science by filtering invalid/poor quality articles
case study
(non-experimental research) in-depth investigation of individual/small group who may have highly unusual trait
confidentiality
protection of identity, safeguards against access to sensitive information
confounding variables
outside factor that influences both the independent and dependent variables, making it hard to tell if the results are really due to the independent variable
control group
group not receiving treatment (placebo)
debriefing
giving participants fuller explanation of study they participated before or during research
deception research
participants not fully informed about the study to prevent their behavior from being influenced, but it must be ethical, cause no harm, and always be followed by a thorough debriefing
dependent variables
y-axis, variable that is measured
double-blind study
neither participant nor researcher know who is receiving treatment, used to prevent bias in results
experiment
research method where variables manipulated to test cause-and-effect relationship
experimental group
group receiving treatment
falsifiability
possibility that an idea, hypothesis, or theory can be disproven by observation or experiment
generalizability
extent finding could apply to broader population
hypothesis
testable, specific prediction about how something works
independent variable
x-axis, manipulated variable
informed assent
child/someone not fully able to give legal consent agree to participate, while a parent or guardian still gives full informed consent
informed consent
individual agree to take part in study after being told the benefits and risks upfront
institutional review board
established to protect human research participants
likert scales
rating scale commonly used in surveys that measures opinions by asking how strongly they agree or disagree with a statement (1-5)
naturalistic observation
(non-experimental research) watching and recording behavior in natural setting without interference
operational definition
clear, specific explanation of how a concept or variable will be measured or observed in a study
placebo
drug/behavioral treatment participant believes is treatment but actually not
placebo effect
person experiences real changes in symptoms/behaviors because they believe they’re receiving treatment but no active ingredient present
professional ethics
principles and standards of conduct that guide how individuals in a profession should behave to ensure integrity, responsibility, and respect in their work
qualitative research/measures
non-numerical, case studies, interviews
quantitative research/measures
numerical data
random assignment
process of placing participants into experimental/control groups by chance to reduce bias (how you divide participants into groups once in study)
replication
repeating study/experiment to see if results are consistent and reliable
survey
collecting self-reported data from many people through questions
theory
well-supported widely accepted explanation of natural phenomena based on extensive evidence
validity
accuracy, experiment actually measures what it is intended to measure
bimodal distribution
2 peaks/data clustering causing main outcomes
central tendency
center, mean mode median
correlation research
(non-experimental research) extent 2 variables related
correlation coefficient
shows strength and direction of relationship between 2 variables
convenience sampling
participants chosen based on availability
directionality problem
in correlational research when it’s unclear whether one variable causes changes in the other or vice versa.
effect size
any of various measures of magnitude/meaningfulness of relationship between 2 variables
mean
average
median
middle number
meta-analysis
(non-experimental research) statistical combination of results from 2 or more separate studies
mode
most frequent
negative skew
left skew
normal curve/distribution
bell shaped, symmetrical, most data near mean, fewer scores toward extremes
percentile rank
xth percentile, percentage of scores in a distribution that fall below a particular value
population
entire group of individuals that a study aims to draw conclusions about
random sample
subset of population chosen with equal chance of being selected, no bias, and representative (how you choose participants from population)
range
highest score minus lowest score showing spread
regression toward the mean
tendency of outliers to be followed by data points closer to mean by chance
sampling bias
type of error when some member are more likely to be included so the results doesn’t represent the population (inaccurate/skewed)
standard deviation
how much scored deviate on average from mean
statistical significance
statement that results are unlikely to occur by chance when p<0.05
third variable problem
undiscovered causative variable
variation
how spread out/different data points from each other and from average
psychology
scientific study of human behavior and mental processes
critical thinking
analyzing and evaluating information, evidence, and claims to make evidence-based judgments
reliability
consistency
sampling
process of selecting sample from population
representative sample
reflects characteristics of population
self-reported bias
inaccurately/selectively report information about themselves
social desirability bias
tendency of individuals to respond to questions or behave in ways they believe will be viewed favorably by others
participant bias
participants change behavior because they know they’re in study
single-blind study
controls for participant bias by not telling participants which group they are assigned
positive skew
right skew
confederate
someone who secretly works with the researcher while pretending to be a participant, often used to create specific social situations, but their use requires ethical safeguards like debriefing
correlation
measure of relationship between 2 variables show how 1 change when other does
illusory correlation
people believe 2 things related even though no relationship exist
laboratory environment
control variables as much as possible to establish cause-and-effect relationship under standardized conditions
descriptive statistics
numerical measures that summarizes and describes data (mean, median, mode)
inferential statistics
technique allow researchers determine results from sample generalized to larger population