Correlation - correct answer (Looking for links) The tools we use to explore whether two
variables are related (scatter plots, correlation strength/type)
Causation - correct answer (Looking for causes) highlighting helpful criteria we can use
to investigate whether one variable drives the change in the other variable
Regression to the mean - correct answer (The hidden driver) Why variables typically
changeover time, with extremes returning to average
Decision Scope - correct answer (Applying what we know) Use your knowledge of
correlation and causation to assess claims in given case studies.
Validity - correct answer the extent to which a test measures or predicts what it is
supposed to
Accuracy - correct answer A description of how close a measurement is to the true
value of the quantity measured.
Nominal - correct answer values are names or categories, categorical
Ordinal - correct answer rank, order, quantitative
Interval - correct answer equal-interval, numerical
Ratio - correct answer A value of zero present, absence of quality
Interviews - correct answer can ask follow-up questions, less likely to have missing
data, takes more time, people are more likely to lie
Questionnaires - correct answer gets data from people more quickly
Archival Data - correct answer involves using previously compiled information to answer
research questions
Experimental research - correct answer the researcher manipulates the independent
variable to create groups (an experimental group and a comparison/control group)
All other variables are kept constant (controlled for or randomized)
Shows a cause-and-effect relationship
Bias - correct answer pieces of knowledge about social groups thatare stored in our
brains