I'm designing a questionnaire to measure the preferences of Chinese learners, in terms of how they learn Chinese characters. The original questionnaire gave users eleven items, and each item was a pair of converse statements about learning preferences, which users were asked to pick between. For example:
Practising character writing is more effective than reading a character text, for my character learning.
Reading a character text is more effective than practising character writing, for my character learning.
This was problematic for a number of reasons, so I elected to use a Likert scale instead. My problem is, if I pick either one of the statements, and give users a five-point Likert scale asking them to agree/disagree, strongly agree/disagree or neutral, then users may be biased towards the first option.
My alternatives are, to present both statements, with a Likert scale for each, as in:
Practising character writing is more effective than reading a character text, for my character learning.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
Reading a character text is more effective than practising character writing, for my character learning.
- Strongly Agree
- Agree
- Neutral
- Disagree
- Strongly Disagree
Or, to present only one statement, but refine the answers to reflect the gradations between the two choices:
- Practising character writing is more effective than reading a character text, for my character learning.
- Writing is always more effective
- Writing is sometimes more effective
- Both approaches are equally effective
- Reading is sometimes more effective
- Reading is always more effective
I'm not sure what the normal practice is though, in designing this type of questionnaire. Is there a common practice for using Likert scales to pick between two preferential options?