307 Q2 - Chi-Square

1. 1Which of the following tests is commonly used when the DV is nominal

   1. AChi-Square
   2. BANOVA
   3. Ct-test
2. 2A Chi-Square test is useful when the DV is at which measurement level?

   1. ANominal
   2. BOrdinal
   3. CInterval
   4. DRatio
3. 3There are two types of Chi-Square tests the test for goodness of fit model and the test for independence.

   1. ATrue
   2. BFalse
4. 4When there is only one nominal variable, the most appropriate Chi-Square test to use is the test for

   1. AGoodness of fit
   2. BIndependence
5. 5When there are two nominal variables, the most appropriate Chi-Square test to use is the test for

   1. AGoodness of fit
   2. BIndependence
6. 6For the Chi-Square test for goodness of fit, the degrees of freedom is calculated by which method

   1. AThe number of categories minus 1
   2. BThe number of rows in the contingency table minus 1 multiplied by the number of columns in the contingency table minus 1
7. 7For the Chi-Square test for independence, the degrees of freedom is calculated by which method

   1. AThe number of categories minus 1
   2. BThe number of rows in the contingency table minus 1 multiplied by the number of columns in the contingency table minus 1
8. 8The null hypothesis for the Chi-Square test for goodness of fit is

   1. AThat the observed and expected frequencies do NOT differ, the sample comes from the same population
   2. BThat the observed and expected frequencies do differ, the sample comes from the a population with a different distribution
9. 9The alternate hypothesis for the Chi-Square test for goodness of fit is

   1. AThat the observed and expected frequencies do NOT differ, the sample comes from the same population
   2. BThat the observed and expected frequencies do differ, the sample comes from a population with a different distribution
10. 10The null hypothesis for the Chi-Square test for independence is

    1. AThe variables are independent
    2. BThe variables are related

11. 11The alternate hypothesis for the Chi-Square test for independence is

    1. AThe variables are independent
    2. BThe variables are related
12. 12Cell frequencies should exceed what number for a 2x2 contingency table

    1. A2
    2. B3
    3. C4
    4. D5
    5. E6
13. 13Small cell frequencies in a contingency table will result in reduce power

    1. ATrue
    2. BFalse
14. 14For a small contingency table (2x) use which statistic

    1. APhi coefficient
    2. BCronbach's alpha
    3. CCramer's phi
15. 15For a larger contingency table (greater than 2x2) use which statistic

    1. ACramer's phi
    2. BPhi coefficient
    3. CCronbach's alpha
16. 16If cells have small expected frequencies which test can be used?

    1. AFisher's exact test
    2. BChi-Square test for goodness of fit
    3. CChi-Square test for independence
17. 17[blank_start]More[blank_end] participants will result in more [blank_start]power[blank_end]. More [blank_start]degrees of freedom[blank_end] will result in less power.
    
    To [blank_start]maximise[blank_end] power, should have as many participants as possible with as [blank_start]simple[blank_end] a contingency table as possible.
    
    It is important that each score does not have any special relationship to any other score, the scores must be [blank_start]independent from[blank_end] each other.

    1. AMore
    2. BLess
    3. Cpower
    4. Dreliability
    5. Evalidity
    6. Fdegrees of freedom
    7. Gfrequencies
    8. Hmaximise
    9. Ireduce
    10. Jsimple
    11. Kcomplex
    12. Lindependent from
    13. Mrelated to

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307 Q2 - Chi-Square

Author

Ryan Bentham

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English

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