Deck 15: Data Analysis and Reporting

Question 1

Which of the following would be considered an independent variable in a sex education intervention evaluation?

A) Proper demonstration of condom use on a model by the participants
B) The attitude toward condom use of the participants
C) How much knowledge of STD participants learn
D) Year in school of the participants

Answer 1

Year in school of the participants

Question 2

A dependent variable

A) is controlled by the evaluator.
B) exerts some influence.
C) leads to changes in independent variables.
D) can be viewed as an outcome variable.

Answer 2

can be viewed as an outcome variable.

Question 3

Demographic information about the participants typically uses

A) univariate data analysis.
B) bivariate data analysis.
C) multivariate data analysis.
D) chi-square analysis.

Answer 3

univariate data analysis.

Question 4

Multiple regression analysis

A) works well with nominal data.
B) can be used with interval data.
C) should be applied to ordinal data.
D) is descriptive in nature.

Question 5

Which of the following is used to show trends over time?

A) Pie chart
B) Cluster graph
C) Line graph
D) Mode

Question 6

Measures of central tendency include

A) range.
B) median.
C) standard deviation.
D) variance.

Question 7

Data that are assigned labels so they can be understood by a computer are ________ data.

A) coded
B) assigned
C) randomized
D) anticipated

Question 8

Checking a data set to be sure that all the entered values are valid and consistent is called

A) coding the data.
B) reconciling the data.
C) cleaning the data.
D) firing the data.

Question 9

The process of coding, cleaning and organizing data into usable format is termed data management.

Question 10

Range and standard deviation are used in univariate data analysis.

Question 11

It is best to err on the side of too simple an analysis than too complex an analysis in an evaluation report.

Question 12

If Jeremy wants to compare his clients to a larger group of clients across the state, he could use a chi-square test of significance.

Question 13

An alpha level of .05 means that there is a 50% chance that the outcome occurred by chance alone.

Question 14

The smaller the alpha level, the greater the possibility of a Type II error.

Question 15

Evaluators can use a t-test to determine whether a variable changed significantly in one group at two points in time.

Question 16

An Analysis of Variance (ANOVA) can be used to determine differences in test scores of more than two groups.

Question 17

The null hypothesis states that there is a difference between groups.

Question 18

If Andrew's stress level increases as his students' behavior deteriorates, this could be considered a negative correlation.

Question 19

What is ANOVA and how is it used?

Question 20

Figure the mean, median and mode for the following test scores: 98, 76, 66, 93, 69, 71, 88, 93, 77, 90, 82.

Question 21

What are three benefits of preparing an evaluation report?

Question 22

Describe the difference between program and statistical significance.