ArchivaldataTo measurethe quantityor amount ofsomethingCollectslargeamount ofdataSurveyMethod3 Types ofCorrelationalmethodDoes notequalcausationdeterminestrength ofrelationshipbetweenvariablesProvidedeeperinsight into aphenomenonFoundationfor futureresearchDeterminesdirection ofrelationshipWhen anexperimentis notpossible.No harmto theparticipantNaturalisticobservationCan becosteffectiveMeasuretwovariablesLack ofcontrolIncreasedflexibilitycommonmisuses is thata causalrelationshipexists betweenthe variablesIt is non-experimentalSolutionsto clinicalproblemsNot to testhow differentone variable isfrom anothervariableCommonmisconception:correlationalresearch mustinvolve twoquantitativevariablesVoluntaryConsentNotmanipulatedArchivaldataTo measurethe quantityor amount ofsomethingCollectslargeamount ofdataSurveyMethod3 Types ofCorrelationalmethodDoes notequalcausationdeterminestrength ofrelationshipbetweenvariablesProvidedeeperinsight into aphenomenonFoundationfor futureresearchDeterminesdirection ofrelationshipWhen anexperimentis notpossible.No harmto theparticipantNaturalisticobservationCan becosteffectiveMeasuretwovariablesLack ofcontrolIncreasedflexibilitycommonmisuses is thata causalrelationshipexists betweenthe variablesIt is non-experimentalSolutionsto clinicalproblemsNot to testhow differentone variable isfrom anothervariableCommonmisconception:correlationalresearch mustinvolve twoquantitativevariablesVoluntaryConsentNotmanipulated

Correlation Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


1
B
2
G
3
O
4
O
5
B
6
B
7
O
8
O
9
N
10
B
11
I
12
G
13
I
14
G
15
N
16
I
17
I
18
O
19
G
20
G
21
I
22
N
23
N
24
B
  1. B-Archival data
  2. G-To measure the quantity or amount of something
  3. O-Collects large amount of data
  4. O-Survey Method
  5. B-3 Types of Correlational method
  6. B-Does not equal causation
  7. O-determine strength of relationship between variables
  8. O-Provide deeper insight into a phenomenon
  9. N-Foundation for future research
  10. B-Determines direction of relationship
  11. I-When an experiment is not possible.
  12. G-No harm to the participant
  13. I-Naturalistic observation
  14. G-Can be cost effective
  15. N-Measure two variables
  16. I-Lack of control
  17. I-Increased flexibility
  18. O-common misuses is that a causal relationship exists between the variables
  19. G-It is non-experimental
  20. G-Solutions to clinical problems
  21. I-Not to test how different one variable is from another variable
  22. N-Common misconception: correlational research must involve two quantitative variables
  23. N-Voluntary Consent
  24. B-Not manipulated