Correct Answer
verified
True/False
Correct Answer
verified
Multiple Choice
A) randomly assign values to the missing data.
B) delete the cases with missing data from the analysis.
C) assign the middle value to the cases with the missing data.
D) use the latter information about amount and source of loans as grounds for assigning values to the cases which had missing values.
E) all of these choices are equally appropriate.
Correct Answer
verified
True/False
Correct Answer
verified
True/False
Correct Answer
verified
True/False
Correct Answer
verified
Multiple Choice
A) the article that appeared in the journal was probably an error.
B) he should recheck his scaling techniques because he probably made an error.
C) items may form a Guttman scale in one sample but not in another.
D) it was probably not a very good scale.
E) none of these choices.
Correct Answer
verified
True/False
Correct Answer
verified
True/False
Correct Answer
verified
True/False
Correct Answer
verified
Multiple Choice
A) Exclude the cases that contained the missing data from the analysis.
B) Assign the middle value to cases with missing data.
C) Analyze the cases that had missing data to interpret their meaning.
D) Assign values at random.
E) All of these choices.
Correct Answer
verified
Multiple Choice
A) guttman scale
B) likert scale
C) semantic differential scale
D) index
E) typology
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verified
Multiple Choice
A) index validation.
B) item analysis.
C) external validation.
D) index validation and item analysis.
E) index validation and external validation.
Correct Answer
verified
Multiple Choice
A) nominal variables.
B) ordinal variables.
C) interval variables.
D) ratio variables.
E) any type or combination of variables.
Correct Answer
verified
Multiple Choice
A) it's a great idea,and he should do it.
B) if he includes both the variables in his index he is violating concerns about the general or specific dimensions of an index.
C) if he includes both the variables in his index he needs to examine the bivariate correlations between them to be sure they are empirically correlated.
D) if he includes both the variables in his index he is violating the criteria specifying the need for unidimensionality in index construction.
E) great idea as long as the bivariate correlations among the variables exceed 0.9
Correct Answer
verified
Essay
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verified
Multiple Choice
A) 100 percent
B) 90 or 95 percent
C) 80 or 85 percent
D) 70 percent
E) It doesn't matter
Correct Answer
verified
Multiple Choice
A) the researcher is seldom able to develop in advance single indicators of complex concepts.
B) a single data item might not have enough categories to provide a range of variation.
C) composite measures give a more comprehensive and accurate indication of a given variable.
D) they are efficient data reduction devices.
E) all of these choices.
Correct Answer
verified
Multiple Choice
A) Be wary of including items in a composite measure that are not related to one another empirically.
B) One should probably drop any item that is not related to several other items in the composite measure.
C) variable very strong relationship between two items presents a problem.
D) One must check the bivariate correlations between all items that one plans to include in the composite measure.
E) You should strive for perfectly correlated (1.0) indicators within a composite measure.
Correct Answer
verified
True/False
Correct Answer
verified
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