Question 1 Univariate analysis refers to a. the statistical analysis of qualitative data b. the analysis of two variables simultaneously c. the analysis of more than two variables simultaneously d. the examination of the distribution of cases of only one variable e. a measure of association based on a proportionate reduction of error model
Question 2 Which of the following is not a multivariate technique? a. path analysis b. factor analysis c. regression analysis d. time-series analysis e. frequency distribution Question 3 What kind of variable conceals the relationship between two other variables? a. test variable b. distorter variable c. antecedent variable d. suppressor variable e. zero-order variable
Question 4 Statistics that are used to summarize data under study are referred to as a. regression analysis b. inferential statistics c. descriptive statistics d. measures of association e. the elaboration paradigm
Question 5 In the elaboration paradigm, the research outcome in which a test or control variable is discovered to be the mediating factor through which an independent variable has its effect on a dependent variable, is referred to as a. replication b. explanation c. specification d. interpretation e. cross-tabulation Question 6 The measure of central tendency that is most useful for nominal data is the a. mode b. mean c. range d. median e. standard deviation
Question 7 The conventional rule for constructing and reading a bivariate table is a. Percentage down, read down b. Percentage down, read across c. Percentage across, read across d. Percentage across, read down e. Any of the above will do Question 8 In the elaboration paradigm, what is used to describe a spurious relationship? a. replication b. explanation c. specification d. interpretation e. cross-tabulation
Question 9 A measure of association most appropriate for nominal variables in social research is a. lambda b. gamma c. chi-square d. correlation e. linear regression
Question 10 A level of significance of .01 means that a. the chances of obtaining the measured association as a result of sampling error are 1/10 b. the chances of obtaining the measured association as a result of sampling error are 5/100 c. the chances of obtaining the measured association as a result of sampling error are 1/100 d. the chances of obtaining the measured association as a result of sampling error are 1/1000 e. such a level of significance is not possible
