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critical thinking
examines assumptions, appraises source, discerns hidden biases, evaluates evidence, and assesses conclusions
hindsight bias
tendency to believe after learning an outcome that one would have foreseen it
peer reviewers
scientific experts who evaluate a research article's theory, originality, and accuracy
theory
explanation using an integrated set of principles that organizes observations and predicts behaviors or events
hypothesis
a testable prediction
falsifiable
possibility that an idea, hypothesis, or theory can be disproven by observation or experiment
operational definition
carefully worded statement of the exact procedures used in a research study
replication
repeating the essence of a research study, usually with different participants in different situations
case study
non-experimental technique in which an individual/group is studied in depth in the hopes of revealing universal principles
naturalistic observation
non experimental technique of observing and recording behavior and naturally occurring situations without manipulation
survey
obtain self-reported attitudes by questioning a representative, random sample of the group
social desirability bias
bias from people responding in ways they presume a researcher expects or wishes
sampling bias
flawed sampling process
random sample
sample that fairly represents a population because each member has an equal chance of inclusion
population
all those in a group being studied from which random samples may be drawn
correlation
measure of extent to which two factors vary together and how well either factor predicts the other
correlation coefficient
statistical index of the relationship between two variables
variable
anything that can vary and is feasible and ethical to measure
scatter plot
graphed cluster of dots
illusory correlation
perceiving a relationship where none exists
regression towards the mean
tendency for outliers to regress towards the average
experiment
research method where investigators manipulate one or more factors to observe the effect on another factor
experimental group
group exposed to the treatment
control group
group not exposed to the treatment
random assignment
assigning participants to experimental and control groups by chance
single blind procedure
research participants are blind, do not know whether they receive treatment or placebo
double blind procedure
research participants and staff are blind to who receive treatment or placebo
placebo effect
experimental results caused by expectations alone
independent variable
factor being manipulated whose effect is being studied
confounding variable
factor other than factor being studied that may influence a study's results
experimenter bias
bias cause when researchers may unintentionally influence results to confirm their own beliefs
dependent variable
outcome that is measured
validity
extent to which a test or experiment measures what it's supposed to do
quantitative research
uses numerical data
qualitative research
uses in depth, narrative data that isn't numerical
informed consent
informs potential participants about a study, allowing them to choose whether they wish to participate
debriefing
post experimental explanation of a study
descriptive statistics
numerical data used to measure and describe characteristics of groups
histogram
bar graph depicting frequency distribution
mode
most frequently occurring scores in a distribution
median
middle score in a distribution
mean
average
percentile rank
percent of scores that are lower than a given score
skewed distribution
representation of scores that lack symmetry around their average
range
difference between highest and lowest scores
standard deviation
computed measure of how much scores vary around the mean
normal curve
symmetric, bell-shaped curve
inferential statistics
numerical data that allow one to generalize/infer from sample data the probability of something being true of a population
analysis
statistical procedure for analyzing the results of multiple studies to reach overall conclusion
statistically significant
a statistic statement of how likely it is that a result occurred by chance, assuming there is no difference between populations being studied
effect size
the strength of the relationship between two variables; larger the effect size, the more one variable can be explained by another