Quiz

…build an additive index.

…calculcate the reliability of your index using Chronbach's Alpha.

…engage in the process called imputation.

…create an additive index.

…use the term independent variable.

…use the term dependent variable.

…create a grouped frequency distribution.

…create a crosstabulation (or crosstab).

…engage in the process called elaboration.

…create a histogram.

…create a population pyramid.

…calculcate the Lie Factor for the graph.

…find the mode.

…find the median.

…ratio-level variable.

…find the median.

…use the standard deviation to find the z-score for that case.

…compare the groups’ variances.

…find the IQV for the variable.

…conduct a chi-square test.

…multiply the number of rows -1 by the number of columns -1.

…find the expected frequencies.

…build a confidence interval.

…find the value of the standard error.

…conduct a t-test.

…add the two sample sizes and subtract 2.

…conduct an ANOVA.

…find the correlation coefficient.

…find the value of r-squared.

…find the value of the slope.

…find the value of the constant.

…create a scatterplot.

…find the statistical significance of the slope.

…find the standard error of the slope.

…make sure that the variable’s categories are coded as 0 and 1.

…designate one group the reference group and then create two reference-group variables.

…designate one group the reference group and then create four reference-group variables.

…create a set of nested models.

…consider that there might be a suppressor variable causing a problem.

…conduct an F-test on your results.

…look at the standardized slopes.

…create an interaction effect and run a regression using it and its parent slopes.

…interpret them as a group by running some examples and creating a graph.

…stop immediately, because you shouldn’t do that.

…use logistic regression rather than regular regression.

…use the regression equation to calculate some predicted probabilities.

…use odds ratios.

…build a path model.

…add together the direct effect with the indirect effect(s).

…run a regression for each endogenous variable and then use the betas from the results.

…create a squared version of the independent variable and add that to your model.

…take the linear slope and divide it by (2 x the nonlinear slope)

…consider using the logged version of this variable.

…examine the tolerance statistic.

…use ordered (or ordinal) logistic regression.

…use multinomial logistic regression.

…use the bootstrapping technique.

…use structural equation modeling.

…use hazard modeling (also called event-history analysis, or survival analysis).

You want to measure a concept using multiple measures, you should…+

You want to see if your index variables go together well, you should…+

You want to replace missing values in an index with logical guesses based on other answers, you should…+

You want to combine several variables together, you should…+

You want to use a synonym for predictor variable, you should…+

You want to use a synonym for outcome variable, you should…+

You want to create a table that summarizes a variable with many values, you should…You want to create a table that summarizes a variable with many values, you should…+

You want to create a table with an independent and dependent variable, you should…+

You want to create a crosstab and control for a third variable, you should…+

You want to create a graph of a variable that has many different values, you should…+

You want to create a graph to compare two groups on the age variable, you should…+

You want to assess if a graph is accurate, you should…+

You want to find the most common value for a variable, you should…+

You want to find the middle case for an ordinal-level variable, you should…+

You want to find the mean for a variable, you should make sure that you have a….+

You want to find the 50th percentile in a set of data, you should…+

You want to assess the uniqueness of a case within a dataset, you should…+

You want to assess which group has the most variation on a ratio-level variable, you should…+

You want to assess the amount of variation for a nominal-level variable, you should…+

You want to do an inferential test with a crosstab, you should…+

You want to find the number of degrees of freedom for a crosstab, you should…+

You want to calculate a chi-square value, so the first thing you should do is…+

You want to say within what range a population mean falls, you should…+

You want to find how far the average sample mean falls from the population mean, you should…+

You want to conduct an inferential test with two sample means, you should…+

You want to find the number of degrees of freedom for a t-test, you should…+

You want to conduct an inferential test with several sample means, you should…+

You want to find the strength of a relationship in a simple regression, you should…+

You want to find the explained variation in a simple regression, you should…+

You want to find the effect that an increase in the independent variable has on the dependent variable, you should…+

You want to find the value of the dependent variable when then independent variable is zero, you should…+

You want to create a graph illustrating the relationship between two ratio-level variables, you should…+

You want to conduct an inferential test with a simple regression, you should…+

You want to find how far the average sample slope falls from the population slope, you should…+

You want to use a dichotomy as an independent variable in a regression, you should…+

You want to use a nominal-level variable with three categories in a regression, you should…+

You want to use a nominal-level variable with five categories in a regression, you should…+

You want to control for a second IV to see if this changes the effect of the original IV, you should…+

You want to understand why an IV that should have an effect doesn’t have much of an effect, you should…+

You want to make sure that your Model 2 performs better than your Model 1, you should…+

You want to see which of your four independent variables has the largest effect, you should…+

You want to see which of your four independent variables has the smallest effect, you should…+

You want to see if an independent variable has a different effect for two groups, you should…+

You want to interpret the effects of an interaction slope and its parent slopes, you should…+

You want to interpret the effect of a parent slope without interpreting the interaction slope, you should…+

You want to run a regression using a dichotomous dependent variable, you should…+

You want to interpret your logistic regression results in a clear way that everyone can understand, you should…+

You want to interpret your logistic regression results in a confusing way that few can understand, you should…+

You want to create a visual diagram that illustrates the interrelationships among your variables, you should…+

You want to use a path model to find the total effect, you should…+

You want to calculate the values that go onto the paths of a path model, you should…+

You want to see if two variables are related in a non-linear way, you should…+

You want to find where a nonlinear effect changes directions, you should…+

You want to use a variable that ranges greatly, such as wealth, in a regression, you should…+

You want to see if your independent variables have a collinearity problem, you should…+

You want to use an ordinal-level variable as a dependent variable in a regression, you should…+

You want to use a nominal-level variable as a dependent variable in a regression, you should…+

You want to study students, their schools, and their states, you should…+

You want SPSS to take 1,000 samples from your dataset, you should…+

You want to use a fancier version of path analysis, you should…+

You want to study a dependent variable related to something happening over time, you should…+