How are the statements scored in the data collection method described?

How are the statements scored in the data collection method described?

• A. 1 for True; 0 for False
• B. 0 for True; 1 for False
• C. 1-5 Likert scale
• D. 5-point scale with half points

Answer: (A)

The key idea is binary scoring for true/false statements. In this data collection method, each statement is either true or false, so it’s scored with a simple 1 or 0: 1 when the statement is true, 0 when it’s false. This lets you add up all the items to get a total score, which can be interpreted as the number (or percentage) of statements recognized as true. This approach is straightforward and efficient for dichotomous items, producing a clear, summative score across all statements. The other options describe different types of scales—like assigning scores for degrees of agreement or using fractional points—which don’t match the binary true/false nature of the items.

The key idea is binary scoring for true/false statements. In this data collection method, each statement is either true or false, so it’s scored with a simple 1 or 0: 1 when the statement is true, 0 when it’s false. This lets you add up all the items to get a total score, which can be interpreted as the number (or percentage) of statements recognized as true.

This approach is straightforward and efficient for dichotomous items, producing a clear, summative score across all statements. The other options describe different types of scales—like assigning scores for degrees of agreement or using fractional points—which don’t match the binary true/false nature of the items.