CAE Data Analysis & Reporting 2

Question 1

An adult educator notices that post-test scores improved significantly but attendance dropped during the same period. This situation best illustrates which data analysis challenge?

Accepted Answer

Confounding variables

Answer

Confounding variables occur when an outside factor (attendance) may influence the outcome being measured (test scores), making it difficult to attribute changes solely to instruction.

Question 2

Which measure of central tendency is most appropriate when reporting income levels for adult learners, given that a few extremely high earners are in the sample?

Accepted Answer

Median

Answer

The median is preferred over the mean when extreme outliers (very high or low values) would skew the average and misrepresent the typical learner's income.

Question 3

A program director wants to compare GED completion rates across five different learning centers. Which type of chart is most effective for this comparison?

Accepted Answer

Bar chart

Answer

Bar charts are ideal for comparing discrete categories (learning centers) across a single metric (completion rate) side by side.

Question 4

In a needs assessment report, a CAE practitioner writes that '68% of learners reported difficulty with digital literacy.' This figure is an example of which type of data?

Accepted Answer

Quantitative data

Answer

A percentage derived from learner self-reports is quantitative data because it represents a numerical measurement of a characteristic.

Question 5

Which statistical concept refers to the degree to which a test consistently produces the same results under the same conditions?

Accepted Answer

Reliability

Answer

Reliability measures the consistency of a test or instrument across repeated administrations, while validity measures whether it tests what it intends to measure.

(CAE) Certified Adult Educator Practice Test

(CAE) Certified Adult Educator Practice Test

CAE Data Analysis & Reporting 2