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Both scales and indexes are interval measures.

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An index is constructed by assigning scores to patterns of responses.

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Robert notices that several respondents did not answer the question of whether they took out loans to fund their education.However,later in his survey,Robert finds that respondents told him about the source(s) and the amount(s) of their college loans.In handling the missing data on the question of whether or not they had a college loan,Robert's best approach is to:


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.

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The only thing one can do when building an index with missing data is drop cases where data is missing.

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Calculating a correlation will allow you to determine how closely related indicators are.

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A bivariate relationship is between two or more variables.

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False

Professor Thames tried to use a Guttman scale on his data set that he had seen published in a major journal.Thames was upset because the items did not form a Guttman scale on his data.Confused,he asked for your help.You should tell him that:


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.

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Thurstone scales use judges in their construction.

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Typologies can only be constructed on the basis of a single variable.

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Perfectly correlated indicators are not useful in an index.

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Using Likert-type scale items,Professor Wong developed an index to assess job morale.Wong administered the index to 2,000 workers and found that 1 to 4 responses were missing on each of the items.Wong could:


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.

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A(n) summarizes the intersection of two or more variables.


A) guttman scale
B) likert scale
C) semantic differential scale
D) index
E) typology

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Professor Swanson developed an index of marital happiness.Several items in Swanson's questionnaire were not a part of the index (i.e. ,"How many serious quarrels or arguments have you had with your spouse in the past year?") Swanson compared the index scores of marital happiness with these questions.Swanson was doing:


A) index validation.
B) item analysis.
C) external validation.
D) index validation and item analysis.
E) index validation and external validation.

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Indexes must be made up of:


A) nominal variables.
B) ordinal variables.
C) interval variables.
D) ratio variables.
E) any type or combination of variables.

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Jeremy includes items that measure sexism in his index of gender roles.He does this because he believes the two variables are empirically related.As a methodology student,you should tell Jeremy that:


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

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Compare and contrast the various types of scales.How do they differ from an index?

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A typical answer should include the following items: Likert scale,Thurstone scale,Bogardus Social Distance scale,and Semantic differential scales.Student responses should focus on how they are all composite measures designed to elicit simplified and consistent responses on a variety of indicators.The second part of the question should include that scales and indexes are both composite measures intended to simplify explanation,but that one is a way to standardize indicators,while the other simplifies the actual variables.

According to Babbie,as a general guideline the coefficient of reproducibility for a Guttman scale should be:


A) 100 percent
B) 90 or 95 percent
C) 80 or 85 percent
D) 70 percent
E) It doesn't matter

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Among the reasons for the frequent use of composite measures is(are) that:


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.

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E

Which of the following statements is FALSE while determining the relative strengths of the items of bivariate relationships?


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.

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For an index or scale to be considered unidimensional,its component items should be indicators of only one dimension of a concept.

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