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hindsight bias
the tendency to believe, after learning an outcome, that one would have foreseen it. (Also known as the I-knew-it-all-along phenomenon.)
hypothesis
a testable prediction, often implied by a theory.
falsifiable
the possibility that an idea, hypothesis, or theory can be disproven by observation or experiment.
operational definition
a carefully worded statement of the exact procedures (operations) used in a research study. For example, human intelligence may be operationally defined as what an intelligence test measures. (Also known as operationalization.)
replication
repeating the essence of a research study, usually with different participants in different situations, to see whether the basic finding can be reproduced.
case study
a non-experimental technique in which one individual or group is studied in depth in the hope of revealing universal principles.
naturalistic observation
a non-experimental technique of observing and recording behavior in naturally occurring situations without trying to manipulate and control the situation.
random sample
a 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. (Note: Except for national studies, this does not refer to a country’s whole population.)
correlation
a measure of the extent to which two factors vary together, and thus of how well either factor predicts the other.
regression toward the
mean
the tendency for extreme or unusual scores or events to fall back (regress) toward the average.
random assignment
assigning participants to experimental and control groups by chance, thus minimizing preexisting differences between the different groups.
independent variable
in an experiment, the factor that is manipulated; the variable whose effect is being studied.
confounding variable
in an experiment, a factor other than the factor being studied that might influence a study’s results.
dependent variable
in an experiment, the outcome that is measured; the variable that may change when the independent variable is manipulated.
mode
the most frequently occurring score(s) in a distribution.
mean
the arithmetic average of a distribution, obtained by adding the scores and then dividing by the number of scores.
median
the middle score in a distribution; half the scores are above it and half are below it.
percentile rank
the percentage of scores that are lower than a given score.
range
the difference between the highest and lowest scores in a distribution.
standard deviation
a computed measure of how much scores vary around the mean score.
normal curve
a symmetrical, bell-shaped curve that describes the distribution of many types of data; most scores fall near the mean (about 68 percent fall within one standard deviation of it) and fewer and fewer scores lie near the extremes. (Also called a normal distribution.)
meta-analysis
a statistical procedure for analyzing the results of multiple studies to reach an overall conclusion.
confirmation bias
a tendency to search for information that confirms one’s preconceptions
overconfidence
tendency to be very sure of a fact and then later finding that objective reality was different
positive correlation
a steady relationship between two variables in the same direction
negative correlation
an inverse relationship between two variables
central tendency
the middle of a data set or where the scores in a data set tend to fall (3 measures - mean, median, mode)
sample
a relatively small number of participants drawn from an entire population
representative sample
a group that closely matches the characteristics of its population as a whole.
convenience sampling
a sampling method in which you select a naturally occurring group of people within population
cultural norms
the shared beliefs, values, and behaviors that define appropriate behavior within a culture or society
variation
the existence of qualitative differences in behavior, physiology, structure, and form among individuals in a population
positive skew
When a distribution has a few extreme scores toward the high end relative to the low end
negative skew
When a distribution has a few extreme scores toward the low end relative to the high end
bimodal distribution
a set of scores that have two peaks, or modes, where values are clustered