Deck 8: Explaining Client Gain

Question 1

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

A) the independent samples t Test
B) one-sample t Test
C) analysis of variance (ANOVA)
D) t Test for paired data

Answer 1

C

Question 2

In evaluative research, when you are trying to explain client gain, client gain is usually:

A) the independent variable
B) the dependent variable
C) the extraneous variable
D) the risk variable

Answer 2

B

Question 3

ANOVA can be employed:

A) for the examination of the relationship between one variable measured at the interval level and another measured at the interval level
B) for the examination of the relationship between one variable measured at the ordinal level and one measured at the nominal level with three or more categories
C) for the examination of the relationship between one variable measured at the interval level and one measured at the nominal level with three or more categories
D) for the examination of the relationship between one variable measured at the nominal level and another measured at the nominal level with three or more categories

Answer 3

C

Question 4

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

A) the mean scores of the groups and the value of p.
B) the sample size and the value of p.
C) the mean scores of the groups, the sample size, and the value of p.
D) the mean scores of the groups, the value of the F statistic, and the value of p.

Question 5

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:

A) nominal level
B) interval level
C) ordinal level
D) ratio level

Question 6

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

A) the Spearman rank correlation coefficient
B) the Pearson correlation coefficient
C) chi square
D) Cramer's V

Question 7

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

A) phi coefficient
B) the Pearson correlation coefficient
C) chi square
D) the Spearman rank correlation coefficient

Question 8

A correlation is:

A) indicated only by a positive relationship between variables
B) represented by a correlation coefficient of 1.00 or -1.00, indicated by either a positive or negative relationship between variables
C) indicated only by a negative relationship in which higher scores on one variable are associated with lower scores on the other
D) every data point which is higher than another data point in one variable is not related to the data point on the other variable

Question 9

When you use the Pearson Correlation Coefficient as a statistic, you are engaging in:

A) examining the average score of two variables
B) examining the relationship between two variables measured at the interval level
C) examining the association between two variables
D) examining the effect size

Question 10

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

A) you will report the value of the coefficient (r) and the value of p
B) you will report the value of the coefficient (r) and the number of cases in the analysis
C) you will report the value of the coefficient (r), the value of p, and the number of cases in the analysis
D) you will report the value of the coefficient (r), and the r squared

Question 11

The Spearman's rho ranges from:

A) 0 to 2
B) 1 to 0
C) 0 to ±1.00
D) +1 to -1

Question 12

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

A) Pearson's Product Moment correlation
B) Spearman's rho
C) multiple regression analysis
D) t Test for paired data

Question 13

Multiple regression analysis is a:

A) bivariate analysis
B) multivariate analysis
C) an examination of two variables
D) univariate analysis

Question 14

When you conduct multiple regression analysis with two independent variables with the potential to predict the change in one dependent variable and when you notice that your R square is .342, it means:

A) that these two independent variables have the high potential to predict the change in the dependent variable
B) that the independent variables can explain only 34% of the variance in the dependent variable
C) the analysis of the predictive relationship between the variables left 66% of the variance in the dependent variable unexplained
D) that the independent variables can explain only 34% of the variance in the dependent variable and that the analysis of the predictive relationship between the variables left 66% of the variance in the dependent variable unexplained

Question 15

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:

A) chi square
B) Spearman's rho
C) Pearson's correlation
D) multiple regression analysis

Question 16

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.

A) one-sample t Test
B) t Test for independent samples
C) Pearson's correlation
D) multiple regression analysis

Question 17

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

Question 18

The independent samples t Test can be used to compare the gain scores of two groups of people.

Question 19

When we select a statistical test to apply to our data, we should be clear about our level of measurement because statistical tests make assumptions about the level of measurement when the formula is composed.

Question 20

A perfect negative relationship is one in which subjects who are lower on one variable would be lower on the other variable.

Question 21

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.

Question 22

The results of the bivariate correlation might be presented as follows:
Client gain on depression was found to have a negative relationship with the number of treatment session attended (r = -.829; p < .01; n = 20).

Question 23

The Spearman correlation coefficient is used to examine the relationship between two variables measured at the interval level.

Question 24

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.

Question 25

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.

Question 26

A perfect positive or negative correlation can be found in social science data.

Question 27

The Spearman Correlation Coefficient can have a negative sign which implies a negative relationship between the variables.

Question 28

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.

Question 29

The standardized coefficient (beta) of .501 for a given independent variable indicates that one standard deviation of change in that variable is associated with about half of a standard deviation of change in the dependent variable.

Question 30

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.

Question 31

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

Question 32

Please explain the benefit of the multiple regression analysis.

Question 33

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?