When formulating scale paragraphs, which are typically used in surveys, assessments, and evaluations (such as Likert scales), certain rules must be followed to ensure clarity, reliability, and validity. Here are the key rules with explanations:
1. Clarity and Simplicity
Rule: Use clear, straightforward language that is easy to understand.
Explanation: Avoid technical jargon, ambiguous words, or complex sentence structures. The respondent should immediately grasp the meaning of the statement without confusion.
Example:
✅ "I find this software easy to use." (Simple and clear)
❌ "This software's user experience aligns with intuitive usability principles." (Too complex)
2. Use Neutral and Unbiased Wording
Rule: Avoid leading or emotionally charged words that could sway the respondent’s answer.
Explanation: The goal is to measure the respondent’s actual opinion, not influence their response.
Example:
✅ "The customer service team responds quickly to inquiries." (Neutral)
❌ "The amazing customer service team always provides outstanding support." (Biased)
3. Consistency in Scale Wording and Direction
Rule: Keep scale statements consistent in tone and polarity (all positive or all negative).
Explanation: Mixing positive and negative statements can confuse respondents and lead to response errors.
Example:
✅ If using agreement-based scales, all statements should be in a consistent format:
"I am satisfied with my job."
"My work environment is supportive."
❌ Avoid mixing directions:
"I am satisfied with my job."
"I do not like my work environment." (Inconsistent polarity)
4. Specificity and Relevance
Rule: Each statement should focus on one idea and be relevant to the topic.
Explanation: Avoid double-barreled questions (asking about two things at once), which make it hard to answer accurately.
Example:
✅ "My manager provides clear feedback on my performance." (Specific)
❌ "My manager provides clear feedback and motivates me." (Two different aspects—feedback and motivation)
5. Balanced Response Options
Rule: Ensure that the response scale provides balanced positive and negative options.
Explanation: Unbalanced scales can lead to biased results.