chapter 2 Flashcards
research methods and measurement
empiricism
the conviction that accurate knowledge of the world can be acquired by observing it
scientific method
a procedure for using empirical evidence to establish facts
theory
an explanation of a natural phenomenon
hypothesis
an explanation of a natural phenomenon
empirical method
a set of rules and techniques for observation
operational definition
a description of a property in measurable terms
construct validity
a feature of operational definitions whose specified operations are generally considered good indicators of the specified properties.
power
a detectors ability to detect the presence of differences or changes in the magnitude of a property
reliability
a detectors ability to detect the absence of differences or changes in the magnitude of a property
demand characteristics
aspects of an observational setting that cause people to behave as they think someone else wants or expects
naturalistic observation
a technique for gathering info by unobtrusively observing people in their natural environments
observer bias
the tendency for observers expectations to influence both what they believe they observed and what they actually observed
double blind study
a study in which neither the researcher nor the participant knows how the participants are expected to behave
population
a complete collection of people
sample
a partial collection of people drawn from a population
frequency distribution
a graphic representation showing the number of times that the measurement
normal distribution
a mathematically defined distribution in which the frequency of measurements is highest in the middle and decreases symmetrically in both directions
mode
the value of the most frequently observed measurement
pros: works well with normal frequency data, can produce sensible values
Cons: has low sampling stability, may not exist for some data, only works for symmetric unimodal distributions
mean
the average value of all the measurements
pros: best sampling stability, works with many statistical methods
cons: value may not exist in real world, assumes data is on an interval measurement scale, not robust to extreme values
median
value that is in the middle
pros: robust to extreme values
cons: does not work well with a lot of common statistical methods, has fairly low sampling stability
range
the value of the largest measurement in a frequency distribution
standard deviation
a statistic that describes how each of the measurements in a frequency distribution differs from the mean
only works for symmetrical unimodal distributions
variable
a property that can have more than one value
correlation
a relationship between variables in which variations in the value of 1 variable are synchronized with variations in the value of the other