Explanation 1
Loaded wording pushes respondents toward a response.
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Lesson 11 of 12
Design survey questions that match goals, constraints, target population, response scales, and data-quality checks.
Theory
A survey turns ideas into responses. Strong surveys define goals, budget, timeline, target population, contact method, response scale, and coding plan. Question types include open-ended, fill-in, multiple choice, ranked choices, pictograms, and Likert items. Pretesting catches confusion before launch.
Explanation 1
Loaded wording pushes respondents toward a response.
Explanation 2
Overlapping categories make answers ambiguous.
Explanation 3
Missing choices force inaccurate responses.
Interactive Mission
Before
How much do you love our helpful R labs?
Repair
How satisfied are you with the R labs?
Loaded wording pushes respondents toward praise.
R connection
Use missing, duplicate, logical flag, and coding-note checks to diagnose survey response quality.
Live R Lab
Use missing-value checks, duplicate flags, logical flags, and simple summaries to diagnose survey response quality.
Ready to run
Worked example
Scenario
A draft asks: 'How amazing are our short lessons?' A neutral rewrite asks: 'How satisfied are you with the length of the lessons?' with balanced response options.
A better question improves the data before analysis begins.
Assistant
Review a survey question I write and coach me on wording, response scale, category overlap, missing choices, and pretesting.
Exit check
Use the hint button if you need coaching before answering. Explanations appear after you check or submit.
Checkpoint
Question 1 of 2. Answered 0/2. Passing score: 70%.