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You Are Quantifiable!

Across
One threat to validity in quantitative research; concentrate when answering
___ manipulation; way of catching the inattentive by embedding important directions (e.g. skip certain items) at end of long paragraph
These scales detect whether you are paying attention by asking bogus questions
This level indicates how much type-I error is allowed; omega's opposite
____ validity; extent to which the independent variable alone truly causes change on the dependent variable; change not due to extraneous variable; look inside for the answer
Don't take this bias to a party. It will only try to make itself look good.
When you think its absent, but it's really there; false negative
Measures a phenomenon's strength, practical significance, & magnitude of the difference between or among variables
Item ____ = to obtaining scores from multiple sources to reduce social desirability bias; you might be six degrees of this from Kevin Bacon
___ validity; extent study can be generalized to other settings and populations; the answer is out there
This type of variable relies on other factors. This puzzle could be one if you didn't read the articles.
Examines hypotheses between 2 sample means only
Down
This test measures probability, not meaningfulness
How the study translates across a population
Degree to which a researcher's inferred conclusions from data reflect actuality
Examines hypotheses between sample and population means; could put you to sleep
These scales detect whether you are paying attention by asking the same or similar questions multiple times
Item ____ = to reduce bias by asking participant to answer question about hypothetical person rather than oneself
This type of variable stands alone and isn't changed by other variables being measured
When you think something's there when it's really not
Item ____ = tendency for participants to make themselves look better when questions are not worded specifically.
Inattentiveness is more frequent here versus face-to-face surveys
Precise amount of type-I error in study; no need to dash
Examines hypotheses between 2+ sets of variables; don't worry, you won't fail on this exam