Research Methodology Context
Survey and Questionnaire Design for SPSS Data Collection

Choosing Between a 5-Point and 7-Point Likert Scale
Both are standard choices, and the decision matters less than being consistent once you’ve made it. A 5-point scale (Strongly Disagree to Strongly Agree) is easier for respondents to complete quickly and is the more common default. A 7-point scale offers finer discrimination between response levels, which can matter for detecting smaller effects, at some cost in respondent fatigue on longer surveys. Whichever you choose, use it consistently across every item in the same scale; mixing 5-point and 7-point items within one construct complicates both scoring and reliability analysis.
Avoiding Double-Barrelled and Leading Questions
Two wording problems account for a disproportionate share of bad survey data:
- Double-barrelled questions ask about two things at once (“Are you satisfied with the pay and benefits?”), leaving no way to know which part a respondent’s answer actually refers to. Split these into two separate items.
- Leading questions embed an assumption or a desired answer into the wording (“How much did you enjoy this excellent training session?”), biasing responses toward agreement regardless of actual opinion.
Both problems are easy to introduce without noticing and hard to fix after data collection, since the flaw is in the instrument itself, not something a statistical correction can repair.
Why Pilot Testing Matters Before Full Data Collection
Running your survey on a small sample before full deployment catches problems no amount of careful drafting reliably catches alone: confusing wording, response options that don’t cover the real range of answers, and items that don’t hang together statistically once real data comes in. A pilot test also gives you an early reliability estimate (Cronbach’s alpha) on any scale you’re using, so a poorly performing item can be revised or dropped before it costs you data from your full sample.
See the full survey and questionnaire data coding guide for turning your finished responses into an SPSS dataset, or the reliability analysis guide for checking your scale’s internal consistency once data starts coming in.
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