Question 1.1.To determine the degree to which the variables in a cross-tabulation analysis are independent of one another, a researcher should use (Points: 3);cross tabulation variable independence test.;Pearson chi-square test of independence.;regression analysis.;Cramer's V.;Kendall's coefficient of concordance.;Question 2.2.Given a cross tabulation between years of education and income, we would compute percentages in the direction of years of education because (Points: 3);the probability that given X income you will have Y years of education makes sense.;the probability that given X years of education you will have Y income makes sense.;It doesn't matter which way you do it.;Both a and b.;None of the above.;Question 3.3.The purpose of the coding process is (Points: 3);to transform raw data into symbols.;encrypt the raw data so that it is secure from unauthorized use.;determine if the raw data meets minimum quality standards.;detect incorrect or invalid responses.;separate completed questionnaires from incomplete ones.;Question 4.4.Which of the following is FALSE about cross tabulations? (Points: 3);Cross tabulations work equally well with continuous measures that have been recast as categorical measures.;Cross tabulations are used for studying the relationships between two (or more) categorical variables.;Recasting continuous measures into categories may result in lowered statistical power.;Cross tabulation seeks to investigate the influence of the independent variable on the dependent variable.;Recasting continuous measures into categories almost never results in the loss of information.;Question 5.5.When performing cross tabulations, percentages are always calculated in the direction of the (Points: 3);dependent variable.;independent variable.;causal variable.;Both a and b.;Both b and c.;17 Which of the assumptions listed below are necessary in order for the coefficients in a partial regression equation to be interpreted as the average change in the criterion variable associated with a unit change in the appropriate predictor variable holding other predictor variables constant?;a. The predictor variables must be correlated.;b. The variance among predictor variables must be equal.;c. The criterion variable must be normally distributed.;*d. The predictor variables must be uncorrelated.;e. None of the above are necessary assumptions.;Question 6.6.The following categories of ages are ____ and ____, but not ____.;18-24;25-34;35-44;45-54;55 and over (Points: 3);closed-ended, exhaustive, mutually exhaustive;open-ended, mutually exclusive, exhaustive;closed-ended, mutually exclusive, exhaustive;exhaustive, mutually exclusive, open-ended;None of the above.;Question 7.7.In ANOVA, the independent variables are typically called (Points: 3);treatments.;factors.;F-statistics.;causal variables.;tabulations.;Chapter 18;Question 8.8.Which of the following is NOT a recommended coding convention? (Points: 3);Use as many columns as necessary for the field.;Locate only one character in each column.;Use alphabetic codes if possible.;Use consistent codes for similar types of responses.;Code in an identification number for each questionnaire.;Chapter 17;Question 9.9.In most multivariate analyses, the goal is to see whether one _________ variable has an influence on another __________ variable. (Points: 3);independent, predictor;predictor, outcome;independent, outcome;outcome, dependent;Both b and c.;Question 10.10.The editing process involves (Points: 3);the inspection of the data received from each sample element.;the correction of the data received from each sample element.;the transformation of the raw data received from each sample element into symbols.;All of the above.;Both a and b.
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