When people are anxious, they tend to be depressed. When they are depressed, they tend to be anxious. The relationship between anxiety and depression is well-known to psychologists, but why that relationship exists is not well understood. Does one lead to the other? Are they both part of the same disorder? Suppose you are exploring how measures of anxiety and depression predict future suicide attempts among women aged 20 to 29. You use the Beck Depression Inventory (BDI) to measure depression and the Beck Anxiety Inventory (BAI) to measure anxiety in a sample of 842 women aged 20 to 29. Both inventories consist of 21 questions with a possible 3 points per question. Thus, each measure ranges in value from 0 to 63.   Which of the following measures or tests would be appropriate to apply to the two numerical scores (without any recoding) to ascertain the strength of the relationship between the BDI and the BAI in your sample of women aged 20 to 29? (Hint: By “recoding” we mean converting data values into ranks, or using the data values to classify participants into categories, such as “not depressed” and “depressed.”)   A. A repeated-measures t test B. An analysis of variance (ANOVA) C. The Pearson correlation coefficient D. The Spearman correlation coefficient

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When people are anxious, they tend to be depressed. When they are depressed, they tend to be anxious. The relationship between anxiety and depression is well-known to psychologists, but why that relationship exists is not well understood. Does one lead to the other? Are they both part of the same disorder?
Suppose you are exploring how measures of anxiety and depression predict future suicide attempts among women aged 20 to 29. You use the Beck Depression Inventory (BDI) to measure depression and the Beck Anxiety Inventory (BAI) to measure anxiety in a sample of 842 women aged 20 to 29. Both inventories consist of 21 questions with a possible 3 points per question. Thus, each measure ranges in value from 0 to 63.
 
Which of the following measures or tests would be appropriate to apply to the two numerical scores (without any recoding) to ascertain the strength of the relationship between the BDI and the BAI in your sample of women aged 20 to 29? (Hint: By “recoding” we mean converting data values into ranks, or using the data values to classify participants into categories, such as “not depressed” and “depressed.”)
 
A. A repeated-measures t test
B. An analysis of variance (ANOVA)
C. The Pearson correlation coefficient
D. The Spearman correlation coefficient
 
 
Suppose you decide to classify the women aged 20 to 29 into three groups according to their BDI scores. You define those with BDI scores greater than 28 as “severely depressed,” those with BDI scores between 20 and 28 as “moderately depressed,” and those with BDI scores of 19 or less as “minimally or mildly depressed.” You want to know if the three groups have different levels of anxiety, as evidenced by their mean BAI scores. Which of the following measures or tests would be most appropriate to apply?
A. A chi-square test of independence
B. An analysis of variance (ANOVA)
C. An independent-measures t test
D. A chi-square goodness-of-fit test
 
 
Now suppose that, in addition to classifying the women aged 20 to 29 into three depression groups according to their BDI scores, you also classify them into four anxiety groups according to their BAI scores. You define those with BAI scores greater than 25 as “severely anxious,” those with BAI scores between 16 and 25 as “moderately anxious,” those with BAI scores between 8 and 15 as “mildly anxious,” and those with BAI scores of 7 or less as “minimally anxious.” With the data now recoded, the most appropriate measure or test to investigate the relationship between depression and anxiety is:
A. An independent-measures t test
B. A chi-square test of independence
C. A repeated-measures t test
D. An analysis of variance (ANOVA)
 
How many degrees of freedom does the test have when the participants were classified into three depression groups and four anxiety groups? df =  _____.
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