Question

Ed is collecting data on a student's latency to initiate work when instructed to do so by his teacher, but the student's goal is to increase duration of work. His data is not ____________________.

A. Accurate
B. Representative
C. Relevant

Answer 1

Ed's data on latency to initiate work doesn't align with the student's goal of increasing work duration, rendering it irrelevant to the desired outcome. Thus, the correct option is C. Relevant.

Step-by-step explanation:

Ed's data is not relevant to the student's goal of increasing the duration of work. The focus of the data collection is on the latency to initiate work, which measures the time taken to start a task after receiving instructions. However, the student's objective is to extend the duration of work, indicating a desire to sustain effort over a longer period. The latency metric, while providing information on promptness, does not directly align with the student's goal of prolonged engagement.

Accurate data (option A) would imply precise measurements of the latency to initiate work, but this precision does not address the mismatch between the collected data and the student's intended outcome. Similarly, representative data (option B) would reflect the broader population, but it does not address the relevance issue. Therefore, the most fitting choice is option C, as the data collected by Ed lacks relevance to the student's overarching goal.

In summary, while Ed's data may be accurate in measuring latency, its lack of relevance to the student's goal makes it less meaningful for understanding and addressing the specific objective of increasing the duration of work.

Therefore, the correct option is C. Relevant.

Answer 2

Ed is collecting data on a student's latency to initiate work when instructed to do so by his teacher, but the student's goal is to increase duration of work. His data is not Representative .The correct answer is B. Representative.

Step-by-step explanation:

Ed's data is not representative of the student's goal to increase the duration of work. Representativeness in data collection is crucial to ensure that the collected information accurately reflects the broader population or, in this case, the student's behavior. In Ed's case, accuracy (option A) may not be compromised, as the collected data could be precise, but if it is not representative of the student's overall behavior, the insights gained may not be applicable to the student's goal.

In behavioral studies, representativeness is key to making generalizations and drawing meaningful conclusions. If Ed only collects data on the latency to initiate work without considering other factors influencing the duration of work, such as the student's motivation, environmental factors, or task difficulty, the data may not provide a comprehensive understanding of the student's behavior. Therefore, Ed needs to ensure that his data collection methods capture a diverse range of situations and factors that influence the duration of the student's work, making the data representative of the student's overall goal.

To illustrate, if Ed only measures latency in scenarios where the task is relatively easy and the student is highly motivated, the data may inaccurately suggest a lower latency and not reflect the challenges the student faces in less favorable conditions. By ensuring representativeness in data collection, Ed can gather information that truly reflects the student's performance across various conditions, contributing to a more comprehensive and valid analysis.