Refer to Exhibit 13-8. In which would you employ Cohen's conventions?
a.
absolute size and predictive validity
c.
statistical significance
b.
comparisons to other correlations
Ques. 2Refer to Exhibit 13-8. In which would one calculate the coefficient of determination?
a.
absolute size and predictive validity
c.
statistical significance
b.
comparisons to other correlations
Ques. 3Refer to Exhibit 13-8. Which of these assesses the likelihood that the observed correlation is a function of chance?
a.
absolute size and predictive validity
c.
statistical significance
b.
comparisons to other correlations
Ques. 4An advantage of correlational studies is that such studies
a. focus on an individual or small group in depth.
b. isolate cause-effect relationships.
c. indicate the strength of relationship between variables.
d. provide for control of extraneous variables.
Ques. 5In a correlational study, a researcher obtained a very small (.10), but statistically significant, correlation coefficient between two variables. The researcher most likely would report that
a. the sample size was too small.
b. the relationship, although unlikely a function of chance alone, is of little or no practical value.
c. there is no true relationship between the two variables in the total population.
d. replication of the study would result in a higher correlation.
Ques. 6If one compared an r of .90 and an r of .45 in terms of the magnitude of the relationship expressed, one would say that
a. an r of .90 indicates twice as much relationship as an r of .45.
b. an r of .90 indicates approximately four times as much relationship as an r of .45.
c. an r of .90 indicates a high relationship, while an r of .45 indicates a low relationship.
d. b and c
Ques. 7As the level of significance increases (e.g., from .01 to .05) in a test of the null hypothesis, the critical value of the Pearsons
r a. increases.
c. becomes more precise.
b. decreases.
d. is not affected.
Ques. 8If a computed Pearsons correlation coefficient is statistically significant at the .01 level,
a. an important relationship between the variables is assured.
b. the two variables have a negligible relationship.
c. it is highly likely that a relationship exists between the variables in the population.
d. the correlation between the variables is positive.
Ques. 9In testing the hypothesis that the correlation parameter is zero, the critical value of r decreases as sample size
a.
increases.
c.
remains constant.
b.
decreases.
Ques. 10If one wanted to determine the degree of variability of the actual Y scores about the predicted Y scores, the appropriate statistic is
a. standard error of estimate.
b. standard deviation of the predicted Y scores.
c. standard deviation of the predictor scores.
d. standard error of measurement.
e. standard error of Y.
Ques. 11The standard error of estimate, s
e, is the standard deviation of
a. the predicted scores on Y.
b. the distribution of the observed Y scores.
c. the differences between actual and predicted Y scores.
d. the X scores used to predict Y.
Ques. 12The best prediction using a multiple regression equation will occur when each predictor has a correlation with the other independent variables, and a correlation with the dependent variable.
a. high; low
c. low; low
b. high; high
d. low; high
Quick Reply
