Chapter 1 Flashcards
Testable hypothesis
Prediction that has been formulated specifically enough so that it is clear what observations would challenge it
Variable
Any characteristic whose values can change
Operational definition
Definition that translates the variable we want to assess into a specific procedure or measurement
Dependent variable
Variable that is measured or recorded in an experiment
Independent variable
Variable that the experimenter manipulates as a basis for making predictions about the dependent variable
Population
The entire group about which the investigator wants to draw conclusions
Sample
The subset of the population that the investigator studies in order to learn about the population at large
Random sampling
A procedure in which every member of the population has an equal chance of being picked to participate in a study
Case study
An intensive study of one person
External validity
The degree to which a study’s participants, stimuli, and procedures adequately reflect the world as it actually is
Demand characteristics
The cues in a study that might tell a research participant what behaviors are expected or desirable in that setting
Double-blind design
The technique of assigning participants to experimental conditions while keeping both the participants and the researchers unaware of who is assigned to which group
Descriptive statistics
Mathematical procedures that allow a researcher to characterize a data pattern; these procedures include measures of central tendency and of variability
Inferential statistics
Mathematical procedures that allow a researcher to draw further claims from a data pattern including claims about whether the pattern observed in the sample is likely to be observed and other samples
Mean (M)
A measure of central tendency computed by calculating the sum of all the observations then dividing by the number of observations
Median
A measure of central tendency taken by putting the data values in order and finding the value that divides the distribution in half