Exam 8: Explaining Client Gain

The Spearman's rho ranges from:

Variables measured at the nominal level have categories that have order.

In multiple regression analysis, the researcher examines whether a set of independent variables are suitable predictors of the dependent variable and which of these independent variables is a better predictor.

When you want to know which of the independent variables is a better predictor of the scores on the dependent variable, you would employ:

Bivariate analysis is an unnecessary step to examining the relationships among the variables using multiple regression analysis.

When an evaluative researcher is interested in examining if parental nurturing is related to age, when annual income is taken into consideration, he/she may employ:

When you specify the analysis for correlations in SPSS, in the dialog box, you can check as many boxes as you like and all the statistics will be computed.

When you present the findings of your analysis for a correlation coefficient:

A variable measured at a lower level can be treated as though it is measured at a higher level and the ordinal level is higher than the interval level.

Please specify the statistical test that would be appropriate for testing the hypothesis, "Social competency scores will be higher for parents with social capital than parents without social capital" when social capital possession is measured as a grouping variable.

The empirical relationship between two variables measured at the ordinal level can be measured by:

Multiple regression analysis is a:

ANOVA can be employed:

An evaluative researcher is interested in measuring if social competency scores of youth in a school can predict grades of the youth, when annual income of their parents is taken into consideration? Please explain briefly the procedure for analyzing this relationship?

When you want to compare interval data for three or more groups, you will use:

Treating an ordinal variable as though it is measured at the interval level is not as serious a problem as treating a nominal variable with more than two categories as a variable measured at the interval level because a nominal variable has no order.

Using SPSS, the evaluative researcher can examine the correlations among two variables against each other with multiple variables that are measured at the interval level as specified for the analysis.

When you report the findings of the ANOVA, you will report:

The empirical relationship between two variables measured at the interval level can be examined by:

When you examine the relationship between client gain and a variable measured at the nominal level "client gain", as discussed in this text, is measured at the: