Explaining Client Gain Ch8 Test Bank Answers - Final Test Bank | Statistics for Human Service Evaluation 1e by York by Reginald O. York. DOCX document preview.
Chapter 8: Explaining Client Gain
Test Bank
Multiple Choice
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
Cognitive Domain: Knowledge
Answer Location: Explaining Client Gain Using the Independent t Test, Analysis of Variance, Correlation Coefficients, and Multiple Regression Analysis
Difficulty Level: Medium
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
Cognitive Domain: Comprehension
Answer Location: Explaining Client Gain Using the Independent t Test, Analysis of Variance, Correlation Coefficients, and Multiple Regression Analysis
Difficulty Level: Easy
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
Cognitive Domain: Application
Answer Location: Using the Analysis of Variance (ANOVA) to Compare the Gain Scores of Three or More Groups
Difficulty Level: Difficult
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.
Cognitive Domain: Knowledge
Answer Location: Using the Analysis of Variance (ANOVA) to Compare the Gain Scores of Three or More Groups: Presenting the Findings of Your Analysis
Difficulty Level: Medium
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
Cognitive Domain: Knowledge
Answer Location: Examining the Relationship Between Client Gain and a Variable Measured at the Interval or Ordinal Level
Difficulty Level: Medium
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
Cognitive Domain: Comprehension
Answer Location: Understanding Empirical Relationships and Correlation
Difficulty Level: Medium
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
Cognitive Domain: Knowledge
Answer Location: Understanding Empirical Relationships and Correlation
Difficulty Level: Easy
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
Cognitive Domain: Application
Answer Location: Understanding Empirical Relationships and Correlation
Difficulty Level: Medium
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
Cognitive Domain: Comprehension
Answer Location: Using the Pearson Correlation Coefficient to Examine the Relationship Between Client Gain and a Variable Measured at the Interval Level
Difficulty Level: Medium
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
Cognitive Domain: Comprehension
Answer Location: Presenting the Findings of Your Analysis
Difficulty Level: Medium
11. The Spearman’s rho ranges from:
a. 0 to 2
b. 1 to 0
c. 0 to ±1.00
d. +1 to -1
Cognitive Domain: Comprehension
Answer Location: Using the Spearman Correlation Coefficient to Examine the Relationship Between Client Gain and a Variable Measured at the Ordinal Level
Difficulty Level: Medium
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
Cognitive Domain: Application
Answer Location: Using Multiple Regression Analysis to Examine the Relationship Between Client Gain Scores and More Than One Other Variable
Difficulty Level: Medium
13. Multiple regression analysis is a:
a. bivariate analysis
b. multivariate analysis
c. an examination of two variables
d. univariate analysis
Cognitive Domain: Knowledge
Answer Location: Using Multiple Regression Analysis to Examine the Relationship Between Client Gain Scores and More Than One Other Variable
Difficulty Level: Medium
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
Cognitive Domain: Application
Answer Location: Using SPSS for Multiple Regression Analysis
Difficulty Level: Difficult
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
Cognitive Domain: Application
Answer Location: Using SPSS for Multiple Regression Analysis
Difficulty Level: Medium
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
Cognitive Domain: Comprehension
Answer Location: Understanding Empirical Relationships and Correlation
Difficulty Level: Medium
True/False
1. Variables measured at the nominal level have categories that have order.
Cognitive Domain: Knowledge
Answer Location: Examining the Relationship Between Client Gain and a Variable Measured at the Nominal Level
Difficulty Level: Medium
2. The independent samples t Test can be used to compare the gain scores of two groups of people.
Cognitive Domain: Knowledge
Answer Location: Using the Independent-Samples t Test for Comparing the Gain Scores of Two Groups
Difficulty Level: Medium
3. 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.
Cognitive Domain: Comprehension
Answer Location: Examining the Relationship Between Client Gain and a Variable Measured at the Interval or Ordinal Level
Difficulty Level: Difficult
4. A bivariate relationship is the relationship between more than two variables.
Cognitive Domain: Knowledge
Answer Location: Understanding Empirical Relationships and Correlation
Difficulty Level: Medium
5. A perfect negative relationship is one in which subjects who are lower on one variable would be lower on the other variable.
Cognitive Domain: Comprehension
Answer Location: Understanding Empirical Relationships and Correlation
Difficulty Level: Medium
6. 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.
Cognitive Domain: Application
Answer Location: Using the Pearson Correlation Coefficient to Examine the Relationship Between Client Gain and a Variable Measured at the Interval Level
Difficulty Level: Medium
7. 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).
Cognitive Domain: Comprehension
Answer Location: Presenting the Findings of Your Analysis
Difficulty Level: Medium
8. The Spearman correlation coefficient is used to examine the relationship between two variables measured at the interval level.
Cognitive Domain: Comprehension
Answer Location: Using the Spearman Correlation Coefficient to Examine the Relationship Between Client Gain and a Variable Measured at the Ordinal Level
Difficulty Level: Medium
9. 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.
Cognitive Domain: Comprehension
Answer Location: Using the Spearman Correlation Coefficient to Examine the Relationship Between Client Gain and a Variable Measured at the Ordinal Level
Difficulty Level: Medium
10. 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.
Cognitive Domain: Knowledge
Answer Location: Using the Spearman Correlation Coefficient to Examine the Relationship Between Client Gain and a Variable Measured at the Ordinal Level
Difficulty Level: Easy
11. A perfect positive or negative correlation can be found in social science data.
Cognitive Domain: Knowledge
Answer Location: Using the Spearman Correlation Coefficient to Examine the Relationship Between Client Gain and a Variable Measured at the Ordinal Level
Difficulty Level: Medium
12. The Spearman Correlation Coefficient can have a negative sign which implies a negative relationship between the variables.
Cognitive Domain: Knowledge
Answer Location: Using the Spearman Correlation Coefficient to Examine the Relationship Between Client Gain and a Variable Measured at the Ordinal Level
Difficulty Level: Easy
13. 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.
Cognitive Domain: Comprehension
Answer Location: Using Multiple Regression Analysis to Examine the Relationship Between Client Gain Scores and More Than One Other Variable
Difficulty Level: Medium
14. 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.
Cognitive Domain: Application
Answer Location: Step3: Multiple Regression Analysis
Difficulty Level: Difficult
15. 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.
Cognitive Domain: Comprehension
Answer Location: Using SPSS for Multiple Regression Analysis
Difficulty Level: Difficult
16. Bivariate analysis is an unnecessary step to examining the relationships among the variables using multiple regression analysis.
Cognitive Domain: Application
Answer Location: Using SPSS for Multiple Regression Analysis
Difficulty Level: Difficult
Short Answer
1. Please explain the benefit of the multiple regression analysis.
Cognitive Domain: Knowledge
Answer Location: Using Multiple Regression Analysis to Examine the Relationship Between Client Gain Scores and More Than One Other Variable
Difficulty Level: Medium
Essay
1. 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?
Cognitive Domain: Application
Answer Location: Using SPSS for Multiple Regression Analysis
Difficulty Level: Difficult
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Connected Book
Final Test Bank | Statistics for Human Service Evaluation 1e by York
By Reginald O. York
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