Deck 19: Categorical Data
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Deck 19: Categorical Data
1
Data on the nominal scale is another way of defining categorical data.
True
2
What type of table is used to summarize purely categorical data?
A)Contingency table
B)Incident table
C)Correlation table
D)Occurrence frequency table
A)Contingency table
B)Incident table
C)Correlation table
D)Occurrence frequency table
A
3
Attempting to calculate the mean of a categorical variable is what?
A)Useful in determining the overall significance of a correlation
B)A way of overcoming possibly inflated error scores
C)Unrelated to how many members a category has
D)Completely meaningless
A)Useful in determining the overall significance of a correlation
B)A way of overcoming possibly inflated error scores
C)Unrelated to how many members a category has
D)Completely meaningless
D
4
Which test is used to identify whether there is a relationship between two categorical variables?
A)Spearman's rho test
B)Bartlett's method
C)Pearson's chi-square test
D)Draize test
A)Spearman's rho test
B)Bartlett's method
C)Pearson's chi-square test
D)Draize test
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5
The chi-square test assumes which of the following?
A)That data are continuous and normally distributed.
B)That there is no significant error score.
C)That data are independent.
D)The expected frequencies should be less than 5.01.
A)That data are continuous and normally distributed.
B)That there is no significant error score.
C)That data are independent.
D)The expected frequencies should be less than 5.01.
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6
Which of the following are ways in which categorical data can be entered in SPSS?
A)Raw scores
B)Weighted cases
C)Both
D)Neither
A)Raw scores
B)Weighted cases
C)Both
D)Neither
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7
The expected frequency for this calculation is?
A)274.00
B)583.94
C)616.50
D)129.47
A)274.00
B)583.94
C)616.50
D)129.47
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8
How many other expected frequencies can be determined from this data set?
A)0
B)2
C)3
D)An infinite number
A)0
B)2
C)3
D)An infinite number
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9
Categorical data can only derive from quantitative data.
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10
What is the odds ratio?
A)A measure of sample size for categorical data
B)A measure of effect size for categorical data
C)A measure of standard deviation for categorical data
D)A measure of variance for categorical data
A)A measure of sample size for categorical data
B)A measure of effect size for categorical data
C)A measure of standard deviation for categorical data
D)A measure of variance for categorical data
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11
Pearson's chi-square test should never be used on categorical data.
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12
The expected frequency based on the table in Q5,for an improved homework and a monetary reward is calculated by:
A)[row total (homework improved)× column total (monetary reward)] / total number of participants
B)[total number of participants / row total (homework improved)] × column total (monetary reward)
C)[row total (homework improved)/ column total (monetary reward)] × total number of participants
D)[row total (homework improved)× row total (homework not improved)] / total number of participants
A)[row total (homework improved)× column total (monetary reward)] / total number of participants
B)[total number of participants / row total (homework improved)] × column total (monetary reward)
C)[row total (homework improved)/ column total (monetary reward)] × total number of participants
D)[row total (homework improved)× row total (homework not improved)] / total number of participants
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13
What is Fisher's exact test?
A)A test of the significance of human error in categorical data sets
B)A test to overcome the problem of large sample sizes
C)A method of computing the exact probability of the chi-square statistic that is accurate when sample sizes are large
D)A method for computing the exact probability of the chi-square statistic that is accurate when sample sizes are small
A)A test of the significance of human error in categorical data sets
B)A test to overcome the problem of large sample sizes
C)A method of computing the exact probability of the chi-square statistic that is accurate when sample sizes are large
D)A method for computing the exact probability of the chi-square statistic that is accurate when sample sizes are small
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14
An alternative to Pearson's chi-square test to test the relationship between two categorical variables is?
A)Odds ratio
B)Likelihood ratio statistic
C)Ames test
D)Tukey's range test
A)Odds ratio
B)Likelihood ratio statistic
C)Ames test
D)Tukey's range test
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15
Which of the following tests can be used for the analysis of categorical data?
A)Cronbach's alpha
B)Odds ratio
C)Uncertainty coefficient
D)All of the above
A)Cronbach's alpha
B)Odds ratio
C)Uncertainty coefficient
D)All of the above
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16
McNemar's test is appropriate to use on which type of contingency table?
A)1 × 1
B)3 × 1
C)4 × 2
D)2 × 2
A)1 × 1
B)3 × 1
C)4 × 2
D)2 × 2
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17
What are the two categorical variables in the above study?
A)Homework did improve and homework didn't improve
B)Given a monetary reward and given a merit badge
C)Homework improvement and reward given
D)There are more than two categorical variables present
A)Homework did improve and homework didn't improve
B)Given a monetary reward and given a merit badge
C)Homework improvement and reward given
D)There are more than two categorical variables present
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18
Which of the following is a possible problem with the chi-square test?
A)The sampling distribution of the test statistic has a fixed chi-square distribution.
B)The sampling distribution of the test statistic has an approximate chi-square distribution.
C)The test can only be performed on sample sizes of 600 and under.
D)The result is meaningless.
A)The sampling distribution of the test statistic has a fixed chi-square distribution.
B)The sampling distribution of the test statistic has an approximate chi-square distribution.
C)The test can only be performed on sample sizes of 600 and under.
D)The result is meaningless.
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19
Loglinear analysis can be used to test?
A)When there are three or more categorical variables
B)When there are two or more categorical variables
C)When there are more than four independent variables
D)When there is only one dependent variable
A)When there are three or more categorical variables
B)When there are two or more categorical variables
C)When there are more than four independent variables
D)When there is only one dependent variable
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20
How many different categories are there in the above table?
A)1
B)2
C)3
D)4
A)1
B)2
C)3
D)4
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21
McNemar's test can be used to determine whether the row and column marginal frequencies are equal.
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22
If this assumption is broken,then the result is what?
A)Negatively skewed data
B)Positively skewed data
C)A reduction in test power
D)Insignificant and pointless
A)Negatively skewed data
B)Positively skewed data
C)A reduction in test power
D)Insignificant and pointless
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23
In loglinear analysis with more than two categorical variables,it is possible to have up to 20% of cells with expected frequencies of less than 5,but all cells must have expected frequencies greater than 1.Is this assumption true or false?
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24
Loglinear analysis is non-hierarchical.
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