Question

1) Two instruments Method A and Method B that used for screening bipolar disorder in adult patients. The Pearson correlation between two methods at r=0.85. This correlation may be most appropriately interpreted to mean that:

A) High score of method A tend to be high score of method B

B) Both methods depend on severity of bipolar disorder

C) Having a good method A increases the measurement of method B

D) Method A is a good prerequisite to method B.

2) In order to show cause-effect between X (independent variable) and Y (dependent variable). Which of following items is related to requirements that we discussed in class:

I. Independent variable should precede Y.

II. Dependent variable outcomes only in presence of independent variable (X).

III. No effect in presence of X.

A) Only I and III

B) Only I

C) Only I and II

D) All of them I, II, and III.

3) Which of the following correlations indicates the strongest linear relationship between two treatment measures?

A) 0.0

B) -0.70

C) 0.09

D) 0.50

E) 0.60

4) Characteristics of correlation coefficient for linear relationship involve which of following properties:

A) Ranges from -1 to 1

B) Data are normally distributed

C) When r=1 there is a perfect correlation

D) All of above.

5) A linear relationship between the dosage of a new chemotherapeutic drug and the degree of pulmonary function is being investigated. Measurements of the forced expiratory volume in 1 second are collected as a measure of lung function and plotted against the corresponding dosage of drug each patient received. Which one of the following is the most likely or appropriate statistical approach to assess any correlation between drug dose and forced expiratory volume in 1 second?

A) Pearson product moment coefficient

B) ANOVA

C) Spearman rank correlation

D) ANCOVA

6) A randomized controlled trial assesses the effects of a treatment for multiple sclerosis on functioning in three groups of adults. Investigators assess global functioning which an ordered, Likert-type scale (not continuous data). Which one of the following statistical tests is the most appropriate to assess differences in functioning between the groups?

A) Kruskal-Wallis

B) Multivariate ANOVA

C) One way ANOVA

D) Analysis of covariance (ANCOVA)

E) Multiple Linear Regression

Answer 1

1) If the Pearson correlation between two methods at r=0.85. which is positive and it means that

A) High score of method A tend to be high score of method B

2) I. Independent variable should precede Y.

II. Dependent variable outcomes only in presence of independent variable (X).

C) Only I and II

are correct

3)option E is true

E) 0.60

0.60 indicates the strongest linear relationship between two treatment measures.

4) all the properties given below contains correlation coefficient

A) Ranges from -1 to 1

B) Data are normally distributed

C) When r=1 there is a perfect correlation

5) option C is true

C) Spearman rank correlation

6) option A is true

A) Kruskal-Wallis